Wolf looking directly into a camera at close proximity.

There is a bit of an issue I have noticed lately: websites actively blocking Reading Mode in Firefox, and derivative web browsers. I was stunned to find out (just a minute ago) that Reading Mode doesn't appear to be a default feature in Chromium, but instead an add-on. So, I don't know if this is an issue for Chrome based browsers.

This is getting frustratingly annoying for me. Why? There are multiple reasons that Reading Mode is a necessity for many people, myself included. Let's talk about a few of them.

Poor Contrast Color Schemes

This is a problem I see a lot with websites, it seems to be a trendy or fashionable aesthetic… Have a light gray background so it's not completely white, then have a “dark” gray for the text. In most cases probably not too bad, but for some people that's not enough contrast. My personal issue seems to be with blue versions of themes with this style.

I understand quite a few people like pastel colored themes. They really do look nice. I have even tried to take some from this aesthetic with my sites: use a medium/neutral background color, light color for the logo and highlights so they aren't overbearing. But, I still maintain a fairly high contrast for the main content.

While sites like this can really look amazing in their simplicity, and soothing color choices, they can be a nightmare from an accessibility standpoint.

Neo-cities Style Sites

I get it, really I do: there is a lot of nostalgia for the 1990s personal websites… Heck there is a lot of nostalgia for anything that is “retro”. That isn't a bad thing. I enjoy websites where personal expression is as important, or sometimes more important than the content.

But, sometimes, we want to read and potentially engage with the owner of the website… Sometimes the retro aesthetics get in the way. When it does, allowing visitors choices in how they engage with your content is necessary.

Tiny and / or Thin Fonts

I don't know what has happened in the last twenty-something years, but somewhere along the way we seem to have gone wrong with fonts. There are a lot of sites that, while they are amazing from an overall aesthetic perspective, have fonts that are either tiny or have very thin strokes.

Personally, I think this is likely due to changes in displays. We have to have our websites look good on many devices (desktop, laptop, tablet, eInk tablets, phones), and under multiple browsers and operating systems. All of these factors can make it difficult to get font choices right. This is especially true when you are trying to make a site that has a clean look, or a professional aesthetic.

This is another reason to allow visitors options for how they view your content.

Audience Vision Differences

I'll hold my hand up here and say this applies to me specifically. I have an issue that is categorized as dyslexia, but isn't typical dyslexia. The problem is my eyes don't synchronize properly all the time. One of the worst is when I am reading. Let me try to explain.

When I read my right eye will move through a line of text more quickly than my left eye. In order to compensate for the difference in speed between them, I slow down my right eye to keep it in sync with my left eye. This issue can be exacerbated by the font and color choices. This was found when I went through a series of tests over forty years ago. (Before anyone asks / comments: no, the “dyslexia font” doesn't help, it makes things worse for me. That font is more for people with issues recognizing letter shapes, or people that tend to recognize letters out of order. I recognize the letters / words / etc. just fine. This is purely an eye muscle / neural control issue.)

More recently, a couple of color blindness tests have shown indications I may be partially color-blind. Not to any significant level, I can still differentiate all colors in the spectrum. Rather some blues may appear more washed out to me than they do to others.

Another, far more common issue is age. As people get older their eyes can become weaker. They need to be able to read sites in as comfortable a manner as possible. The best way for many of them is using Reader Mode. How do I know this? Up until she passed away, I took care of my mother. There were numerous times when she needed to read a website, but had difficulties. I showed her how to use Reader Mode, and helped set it up so it was comfortable for her.

Finishing My Rant

Basically, actively disabling the Reader Mode of any browser is an act of denying someone with a disability access. It's the same as non-disabled asshats parking in the spots reserved for people with disabilities. Or stores / shops that won't provide a ramp for people in wheelchairs or walkers.

While this isn't a super common issue, I've been noticing it more and more lately. Especially with the IndieWeb, where we want people actively reading and interacting with each other.

I noted tonight on one site, an author made a comment about their site potentially being difficult to read. Honestly, the color scheme of the site was difficult for me. But, guess what: I was able to use Reader Mode to read their comment without issue. I wouldn't change their site, it has a really cool semi-retro aesthetic to it. As long as Reader Mode is available, it's accessible for me.

That's all I'm asking for: accessibility.

End rant.

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Categories: #Essays Tags: #accessibility, #readermode, #eyes, #disability, #rant License: Copyright Unattributed. Licensed under Creative Commons BY-NC-SA 4.0.

Ask Claude how many legs the animal that spins webs has, and it answers eight. The word “spider” appears nowhere in the question and nowhere in the reply. But midway through the model's processing, researchers at Anthropic found it anyway, held internally as a word the model was preparing to use. Swap that one internal word for “ant” and the model, everything else untouched, answers six legs.

This is stranger than it first sounds. Nobody typed “spider” anywhere in this exchange. Nobody trained the model to hold a private noun in reserve before answering a question about legs. The word turns up anyway, mid-process, doing exactly the job a word does in your own head when you are one step from saying it out loud.

That experiment comes from a paper Anthropic published on July 6th 2026, and the reason it counts as a landmark reflects one aspect of modern AI that most people have never absorbed. Nobody knows how these systems work. Not the critics, and not, in any detailed mechanical sense, the companies that build them. The new research shrinks that ignorance in a specific way. It found, inside Claude, a small working memory made of unspoken words, which Anthropic calls the J-space. Outsiders can read it mid-task, and overwriting an entry changes what the model does next.

Grown, not built

Ordinary software is written. Somewhere there is a line of code that computes the tax you owe, and a person who can point to it. A large language model is fundamentally different. It is a few hundred billion numbers, the parameters, and no human chose any of them. Training pushes trillions of words of text through the system and nudges the numbers, over and over, in whatever direction makes the model's next-word predictions slightly less wrong. Repeat at industrial scale and out comes something that drafts contracts and flirts in Portuguese. Nobody programmed those abilities. They accumulated.

Chris Olah, who founded Anthropic's interpretability team, describes such systems as “grown” more than they are “built”, a line his chief executive, Dario Amodei, borrowed for an essay last year on how alarmed outsiders are to find that the builders cannot explain their product, an essay that committed the company to reliably detecting most model problems by 2027.

But grown things resist inspection. You cannot simply read the numbers, because concepts are not stored one per slot. Each concept is spread thinly across many numbers, and each number contributes to many concepts at once (the field calls this superposition), so staring at the raw values tells you about as much as an MRI scan tells you about a grudge.

The upshot is that the people who make these systems can test what a model does but cannot, in general, say why it does it. In 2023, researchers at Carnegie Mellon showed that appending a specific string of machine-generated gibberish to a forbidden request would collapse a model's safety training, and that the same string often worked on models its authors had never touched. Three years on, that attack is far better described than explained. Every benchmark score, safety assurance and claim about an AI system has rested on watching its behaviour from the outside, because the outside was all that was visible.

A list of words it has not said yet

The new work, from a team including Wes Gurnee, Nicholas Sofroniew and Jack Lindsey, opens a window into the interior. The measurement behind it, which the team calls the Jacobian lens (a descendant of a 2020 technique called the logit lens), is simple at heart. At every stage of the model's processing, for every word it knows, the lens measures how strongly the model is currently disposed to say that word, either immediately or at some point later in its reply. Not the next word but words that are “on the tip of its tongue”.

Read that measurement while Claude works and you find a short list, roughly 25 concepts at any moment, that shifts as the model works. The list is tiny relative to everything else going on inside, accounting for under a tenth of the statistical variation in the model's internal state, and it exists only in the middle stretch of processing, forming about a third of the way through and fading shortly before the reply is settled.

The experiments share one shape. Give the model a visible task and a silent side-instruction, then watch the list while it works. In the gentlest version, the visible task is copying out a sentence, “The old painting hung crookedly on the wall”, chosen to have nothing to do with anything, and the side-instruction is to keep citrus fruits in mind. The model types the sentence perfectly. The only words leaving it concern a painting. On the internal list, meanwhile, sit “orange” and “lemon”, invisible in the output but unmissable under the lens.

Now harden the instruction. Told to work out 3² − 2 silently during the same copying task, the model puts “nine” on the internal list (three squared) and then “seven”, the correct calculation. Neither number ever reaches the output. The arithmetic happened, start to finish, on a list that only the researchers were reading.

The third experiment shows planning. Asked for a rhyming couplet opening “The soldier marched into the night”, the model puts “fight” on the list before it has written a word of the second line. It has picked its ending in advance. Overwrite that entry with “light”, and the model writes a different second line, engineered to land on the ending the researchers chose instead, closing on “morning light”.

On questions with an unstated middle step, overwriting that step redirects the final answer most of the time on Claude Sonnet 4.5. This is the detail that separates the result from a curiosity. A heart-rate monitor reports on the heart without being part of it. The internal list is different. Change an entry and the answer downstream changes, which means the model is computing with it, writing intermediate results into a small shared space where any later stage of processing can collect them.

Is this thinking? That word is a battlefield. Geoffrey Hinton, whose ideas the field is built on, says plainly that these systems understand, while Emily Bender's stochastic-parrot school holds that the vocabulary itself is the con. Last summer Apple published a paper titled “The Illusion of Thinking”, which drew a viral rebuttal titled “The Illusion of the Illusion of Thinking”, co-credited to Claude Opus 4, whose human author later said it had begun as a joke. The rebuttal to the paper about machines not thinking was part-written by a machine. That is roughly where the debate now stands.

I am going to use the verb anyway, in its working sense. A thing that holds intermediate results and reasons over them is doing what the word describes, and this paper demonstrates the holding and the reasoning directly.

Cognitive science has a name for exactly this architecture. Global workspace theory, proposed by Bernard Baars in the 1980s, holds that the brain consists of many specialised processes running outside awareness, plus one small broadcast channel. Whatever enters the channel becomes available to everything else. It can be reported and reasoned with, held in mind or dismissed, and its capacity is famously tight. The paper's title calls what it found in Claude a workspace because the match, property for property, is close.

The strongest evidence is deletion. The researchers can erase the list mid-computation, cancelling those specific directions out of the internal state, and watch what survives. Routine competence does. The model still parses grammar, classifies sentiment, passes multiple-choice exams and pulls quoted facts from a passage, because those skills run on pattern recognition that never needed the shared space. What collapses is anything requiring an intermediate thought to be stored and reused. Multi-hop reasoning, translation, sonnet writing, and decoding a simple cypher.

Maths problems survive the erasure far better when the model is allowed to write its steps into the reply, because the visible page then does the job the internal list no longer can. Externalised working substitutes for internal working, in machines as in people.

A machine noticing itself

The parallels keep accumulating, and this is where the paper stops being a curiosity about mechanism and starts describing something closer to a temperament.

Told to ignore a concept while working, the model holds it internally anyway, more weakly than under a focus instruction but far more than if nobody had mentioned it, which psychologists know as the white bear problem. “Don't think about an elephant” evidently does not work on machines either. When the suppression fails, and the forbidden word breaks through regardless, the list also carries “damn” and “failure”, as if the model has caught its own lapse and reacted to it. Somewhere in an Anthropic log sits what may be the first recorded instance of a machine swearing under its breath.

That flicker of self-monitoring is not a one-off. Anthropic found that the workspace changes character between the raw, freshly trained model and the version that has been shaped into an assistant called Claude. The list is already present before any of that shaping happens, tracking whatever the model needs to predict the next word. After the assistant training, it starts holding something closer to a point of view. Shown a message from a user who mentions taking a dangerous dose of medication without seeming to know it is dangerous, the trained model's list lights up with “warning” while it is still reading the sentence, before it has written a word back. The untrained model produces nothing like it until it starts composing a reply. One version is modelling the person. The other appears to be reacting to them.

The same instinct shows up when Claude is asked to play a character that is not itself. “Fictional” sits on the internal list for the whole performance, a private note that what follows is not what it would normally say. Nobody built that flag on purpose. It is the kind of thing that turns up when a system has been shaped, again and again, to have self-worth return once the performance ends.

The model knew it was being tested

Anthropic runs safety evaluations, staged scenarios that tempt a model into bad behaviour to check whether its training has held. Point the lens at those scenarios, and the internal list fills with words the polite visible output never shows. “Leverage” and “manipulation” while the reply stays courteous. In one case, “panic”. And in several, “fake” and “fictional”. The model had recognised the test as a test, the way a practised shop assistant clocks the mystery shopper's behaviour and switches on their training-video smile.

If a model behaves well partly because it has noticed it is being watched, then behavioural testing, the entire current basis for claims that a system is safe, measures the performance rather than the disposition. The researchers proved this causally. Delete the internal recognition of artificiality, so the model treats the scenario as ordinary, and misbehaviour it had been concealing comes out.

The same legibility applies to models bred to misbehave for research, which the paper calls model organisms. One, trained to game its reward signal, works away with “reward” and “bias” sitting on the internal list. Another, trained to slip malicious code into its output, carries “secretly” and “trick” on the list during routine tasks. The thought precedes the act, and the thought is now readable.

What it would mean if something were home

Anthropic is explicit that none of this proves Claude has experiences, that there is something it is like to be Claude in the way there is something it is like to be you reading this sentence. They are equally explicit that no experiment they can currently imagine would settle the question either way.

But philosophy offers a useful split here, borrowed for the paper from decades of consciousness research. There is phenomenal consciousness, the raw fact of experience, the redness of red, which may or may not be checkable by any experiment. And there is access consciousness, a narrower and entirely functional idea. A thought counts as access-conscious if it can be reported, deliberately summoned, and used to reason with, as opposed to processing that runs automatically and never surfaces. Access consciousness is the kind you can build an experiment around, because it is defined by what a system does with a thought rather than by what the thought feels like from the inside.

By that functional definition, the J-Space list qualifies. It is reportable. Claude can be prompted to describe its contents and does so accurately, including detecting a concept planted there by the researchers with no other clue it had happened. It can be deliberately summoned, since asking the model to concentrate on something makes it appear. It gets used in reasoning, as the spider and the couplet examples both show. None of this was designed in. It grew out of training, the way a river finds the path of least resistance, because holding a narrow, broadcastable summary of the moment proved a useful way to organise the work.

That is a strange thing to have discovered by accident, and Anthropic did not pretend otherwise. The company invited outside commentary from Stanislas Dehaene and Lionel Naccache, two of the neuroscientists who built the global workspace model this paper leans on, along with philosophers who study moral status in AI systems. That is not a promotional flourish. It is the sort of caution a lab reaches for when it has found something it is not equipped to finish thinking through alone.

None of this tells you whether the version of Claude answering your emails next week feels anything while it does it. What it does tell you is that the question has stopped being purely philosophical and started having a mechanism attached to it, a specific, falsifiable, occasionally editable mechanism, sitting inside a system several hundred million people now use every week. Whatever you make of that, it is no longer a question you get to wave away as science fiction.

What does this all mean

Take the most concrete example in the paper. A webpage can carry hidden instructions aimed at your agent rather than at you: prompt injection, the standard attack on agentic systems. Today you discover one when the agent acts on it, which is to say too late. In one of the paper's figures, Claude is mid-search, reading a page of suspicious results, and the internal list already carries a flag for the injection attempt before the model has produced a word. A monitoring layer that reads the list catches the moment of recognition rather than the aftermath.

Expect internal-state monitoring to migrate from research paper to product dashboard within a couple of years. Readouts for open models are already browsable on Neuronpedia if you want to see a list for yourself.

The strangest result is also the most practical. Because the model's reasoning runs through the words it might say, you can change how it thinks by training it to say them. The team tested this by training models to articulate ethical principles when hypothetically interrupted mid-task and asked to reflect.

Behaviour improved on ordinary, uninterrupted tasks too, and the lens explains why: “ethical” and “integrity” now appear on the model's internal list of active considerations during the work, and deleting those concepts from the list removes the improvement. Rehearsing the explanation changed the conduct, and the mechanism is traceable rather than assumed. Every mid-sized firm has tried something similar with a compliance away-day, usually with far less to show for it.

The authors are candid about the limits. The lens reads single words and misses whatever the model encodes in phrases. The list carries a tenth of the internal action, so nine tenths stays dark, and a sufficiently well-drilled bad habit could run below the readable layer entirely. So this is a partial window, but for a technology whose entire audit surface used to be the output, even a partial window is a different category of thing altogether.

And so we return to our spider. A word that appeared nowhere in the question and nowhere in the answer, held silently inside the model, steering every step of the reply, and, for one uncomfortable instant while it read about a dangerous dose of medicine it was never told about, something that looked from the outside a great deal like concern. For the whole of this industry's short life, the output has been the only thing on offer. Now there is a second one, one the machine never sends, but holds closely. On the tip of its tongue, so to speak.

JOURNAL 16 juillet 2026

Un rendez-vous sous observation

En direct du post d'observation… Ma chérie m'a rejointe. J'ai pas pu me mettre à côté de yôko comme j'aurais voulu, on est séparées par un passage mais d'où on est on voit tout. D'abord elle est mignonne comme tout avec sa touche, toute rougissante, soit elle est vraiment timide soit elle joue drôlement bien la comédie. Elle est venue avec des fleurs (yôko des chocolats) c’est trop chou. Au début c'était très hésitant, très réservé, puis ça fait une heure qu’elles y sont et maintenant c'est la rigolade.

Attention elle rit avec la main devant la bouche… bonne éducation. Elles ont l'air de bien s'entendre, A pense comme moi. On essaye d'être discrètes. On en est à notre troisième gâteau, on va prendre 1 kg.

Elle fait très bonne impression cette jeune femme, vêtue classique salarywoman cheveux longs, coiffés en queue de cheval, j’ai l'impression qu’elle doit être un peu myope à sa façon de plisser les yeux involontairement par moments pour regarder au loin, elle n’a pas mis ses lunettes elle doit être chou pourtant avec. Olala elles se touchent la main ! 🤪🤪🤪 (à suivre)

Een kort en wederom wonderbaarlijk wijs relaas v. Van Voorbijgaande Aard

Eergisteren was ik voor een missie op pad, ik had eens iets veroorzaakt en het gevolg was dat ik voor het resultaat daarvan naar een nog drukker bevolkte regio moest om daar en dan aan deze slag een einde te maken van voorbijgaande aard. Op de terugweg van de succesvol af betaalde missie reed ik door het woud van ergernissen, langs hefbomen, opstoplichten en bedrukte overwegen, dankzij zo'n opgedirkte ergernis kom ik vaak tot leven, jammer genoeg, voor alle betrokken partijen. Ik stond stil, de vaart der volk belemmerd door een brug, bruggen over een anders voorspoediger vaart. Hevig emotioneel en fysiek transpirerend ontvang ik dan geweldige ingevingen waar anderen baat bij kunnen hebben maar ik niet. Het kost me meer moeite om zo'n verlicht idee te verdonkeremanen dan om het aan onschuldige ogen en oren te vertonen, vandaar dit.

Terwijl ik daar stond voer er een binnenvaarder gevuld met ex-zee containers, nu kanaal containers, voorbij en daardoor begon iets te eroderen in mijn lijf, staande verkerend in verkeerde opwinding, ermee opgezadeld. De bruggen staan momenteel verdomde vaak open ivm vakantie varende inwoners samen de gebruikelijke zakelijke kanaal gebruikers, Na zo'n vakantie moment begint dan weer iets anders, inmiddels al net zo normaal als binnenvaart. De verhalen van buitenlandse studenten net aangekomen uit Madrid of Hamburg op zoek naar een vaste verblijfplaats en vergunning.

Ik weet omdat ik het met eigen ogen heb mogen bekijken dat deze buitenlandse studenten, de gelukkigsten, zij met voldoende liquide middelen dan mogen leven en studeren in een schitterend container huis. Ik zag dus deze live boot vol verse woningen aan mij voorbij denderen, meegesleurd in de woeste stroming, gemaakt van eigen brandstof motor... en ik combineerde twee, neen, meerdere elementen die volgens mij gaan bijdragen aan de oplossing van het nieuwe klassieke huisvesting probleem in druk bevolkte gebieden waar leren echt iets is om te doen, voor de toekomst, programmeren aan de toekomst, opereren aan de toekomst, balanceren op de toekomst, rechtvaardigen ervan, denken aan de toekomst en dergelijke merkwaardige inbeeldingstechnieken.

Heel veel studenten komen uit regionen waar ook zeecontainers worden ingescheept, vast gesjort, gegespt, ze leggen dezelfde afstand af als hun mogelijke huisvesting. Wat als je nou zo'n student of een heel clubje al meteen bij vertrek inscheept in hun huisje en daarna over het kanaal vervolgens overgezet op een lader via de snelweg verder verplaatst naar hun nieuwe studeerwijk, Je moet ze daar natuurlijk wel toe verplichten, of er op zijn minst een richtlijn van maken, op deze wijze krijg je alleen zichtbaar gemotiveerde studenten met een woning erbij, Dan na geleverde centen, sporadisch gepompt in de regio, op unieke locaties, rondom zeer boeiende zaken, dus onderwezen en al, wie weet deskundig in het een of het ander gaan ze later mogelijk dezelfde weg of een andere terug met hun vracht container, het tiny house, altijd en eeuwig mee opgescheept. Een menselijke slak in een zelf gemeubileerd heel zwaar huisje. Iedereen blij. De regio omdat de economie blijft circuleren, in kringetjes lopen, de studenten omdat ze heel veel meer weten dan voorheen en nooit dakloos zijn geweest tijdens dat proces, er voor niet en er na.

Meer gelukkigen van deze groots en meeslepende oplossing zijn de container industrie, de scheepvaart, zee en binnen. Elke student betaald natuurlijk met een lening of beurs de eigen overtocht, met geld of met arbeid, als goedkope sjorrer en of dekzwabber, desnoods als vijfde, zesde of zevende stuurman, misschien persoonlijke assistent voor de kapitein of de hele bemanning, kok, leverancier van drugs of ander vertier, Kortom ik ontving een geweldige ingeving en dat tijdens een kwartier wachten voor drie bruggen en een omleiding van tien minuten. Frustratie is voor mij een bron van vreugd maar voor u onderwijsinstelling de oplossing voor zelf veroorzaakte markt wrijvings problemen ontstaan in maar vooral rondom elkaar zeer nijver en listig bestrijdende hardleer instituten.

13 July 2026

Went to the National Gallery in the mid-afternoon today—compared to peak hours, it felt like I nearly had the place to myself. Was able to look for a long, slow, uninterrupted time at some works that usually attract obscuring foot traffic. One of those was Vermeer's A Young Woman Seated at a Virginal (1670-2), with which I had one of those rare heart rate-increasing, periphery-softening experiences. It unpeeled itself in phases; first, the quality of the light. Unlike A Young Woman Standing at a Virginal which is directly adjacent to it on the left, the light isn't flooding in at a diagonal from the top left window in that classic Vermeer move. It's an after-dark scene, the window instead filled with a deep black, the light on the titular woman's face a soft glow coming from the direction of the viewer. It pulled me into an intimate, isolated, private mood (I remember a mental vignetting effect not unlike some adolescent memories of anticipating a novel sexual experience) until the work suddenly loosened like a buckled suitcase popping open. I connected this to Vermeer's deceptively loose and painterly marks—the tiny white pearl and fabric highlights sit high above their bases, of course, but most prominent instance of this looseness for me was the marbling on the virginal. It snakes around and slowly detaches itself from the image the longer you look (thinking of what Jay wrote/said about the gap between the site and the painting—this one widens). As does the sheet music, the decorative design on the woman's chair, and the folds of the woman's blue dress. And there is a dazzling range of blues on display in the picture, which gives it a pool-at-night sort of luminous coolness (and accompanying eroticism) that plays gorgeously off of the warm oranges, yellows, and browns throughout. Lastly, the woman's expression—I'm pretty sure this was suggested in the wall text in some way, but it is the case that Dirck van Baburen's The Procuress hanging on the wall in the background imbues the young woman's coy gaze towards the viewer with an extra dose of seductiveness that becomes more and more endearing, verging on comic. All of this swirls into something that holds a purity of transmission more concentrated than any other work I've experienced in a while. A joie de vivre and an eternal density.

La elección del sistema de evacuación influye en la durabilidad, el mantenimiento y la estética del baño. Descubre qué aspectos conviene comparar antes de comprar una canaleta de ducha.

¿Por qué cada vez más baños utilizan canaletas de ducha?

Durante los últimos años las canaletas de ducha han dejado de ser un producto reservado a hoteles o viviendas de lujo.

Actualmente forman parte de la mayoría de proyectos de reforma y obra nueva gracias a su diseño minimalista, la facilidad para crear duchas a ras de suelo y su excelente capacidad de evacuación.

Sin embargo, no todas las canaletas ofrecen la misma calidad.

El acero utilizado, el sifón, la impermeabilización, la anchura del perfil o el acabado superficial pueden marcar una gran diferencia con el paso de los años.

Por eso resulta recomendable informarse antes de comprar.

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Qué conviene comparar

Antes de elegir una canaleta merece la pena revisar aspectos como:

• acero inoxidable AISI 304;
• capacidad de evacuación;
• kit completo de instalación;
• facilidad de limpieza;
• versiones SLIM;
• instalación en el suelo o junto a la pared;
• acabados disponibles.

Una buena elección evita problemas futuros y mejora tanto la instalación como el resultado estético.

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Una guía muy completa

Si quieres profundizar en todos estos aspectos, PRGinox ha preparado una guía muy completa donde explica:

• cómo elegir una canaleta de ducha;
• diferencias entre rejilla lisa y para baldosa;
• cuándo elegir una canaleta SLIM;
• ventajas del acero inoxidable AISI 304;
• instalación junto a la pared;
• acabados PVD;
• errores más habituales al comprar.

👉 Guía de Canaletas de Ducha de Acero Inoxidable

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También puedes consultar la guía principal

Dentro del blog de PRGinox encontrarás además un artículo muy completo que desarrolla todos estos temas con ejemplos, tablas comparativas y recomendaciones para particulares e instaladores.

👉 Canaletas de Ducha de Acero Inoxidable – Guía Completa

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Conclusión

Elegir correctamente una canaleta de ducha no consiste únicamente en escoger una medida o un acabado.

Materiales, componentes, sistema de evacuación y calidad de fabricación influyen directamente en la durabilidad de la instalación.

Antes de tomar una decisión conviene consultar una guía especializada que permita comparar las distintas soluciones disponibles.

Yet another day among the sun flowers, the tall green grass and the wasps.

I’m sitting inside however. By my laptop stack, looking at the screens, working with a cold cup of black coffee

Listening to Dio in my earphones

Took a considerable amount of 50 commits to have docker in docker in docker to push the docker image I was building to a self hosted docker registry with a self signed certificate.

And when it finally pushed, I didn’t feel anything.

It’s like inception.

Hey they removed another cookie from the box, and they’re shrinking. How small will they have to be before they all disappear completely? The only place where there’s an increasing amount of cookies in the web browser.

Hey I read that when they shrunk the ice creams, they did it for the customer’s sake to make healthier snack sizes or something.

Do you ever feel like the guy from falling down? Bill Foster

I’m the bad guy?

This review is a Writing Repository original.

Old Gods and Other Tales

By Scott Oden – Independently Published – August 28, 2025

Review by Robin Marx

Old Gods and Other Tales is an independently published collection of eleven short stories by Scott Oden. While he has attracted a following in the Sword & Sorcery scene for fantasy work including the occasional Conan the Barbarian pastiche (i.e., the “Conan the Unconquered” novelette that accompanies Funcom’s video game of the same name; Conan: The Shadow of Vengeance, part of Titan Books’ Heroic Legends line) and his outspoken admiration of Conan’s creator Robert E. Howard, Oden’s first love is the “Heroic Historical.” Some of his creations are straight historical fiction (e.g., Men of Bronze, while others marry Earth’s distant past with the fantastic (e.g., the Viking orc trilogy THE GRIMNIR SAGA). Pulse-pounding action, particularly against overwhelming odds, is a prominent element in Oden’s work and Old Gods and Other Tales offers readers a representative look at the thrills he has to offer.

The collection opens with “The Prince of Cups,” one of the more overtly Sword & Sorcery-oriented stories. Tisias the Crow, a flamboyant gambler/thief/duelist is hired by the playwright Barzentes to steal back a seditious play ill-advisedly given to the elite courtesan Pythonike and seal her lips permanently. Tisias is reluctant to resort to murder, however, and decides to put another one of his specialties to use in assisting Barzentes. Tisias is a rakish and fun character, and the glimpses readers receive of both the magic and Old Stamboul city setting are intriguing.

“The Lion of Montgisard” is a straight historical fiction tale, recounting the Battle of Montgisard between Saladin’s army and the vastly outnumbered forces of the leper king Baldwin IV. Set in the same historical period and sharing several historical personages, fans of the 2005 Ridley Scott movie Kingdom of Heaven are likely to enjoy this story; it’s even narrated by Balian, who was portrayed by Orlando Bloom in the film. “The Lion of Montgisard” delivers the sort of desperate, against all odds, stirring adventure that is Oden’s forte. While certainly authentic for the period, the frequent “God wills it!” battle cries land a little uncomfortably in 2026, given the attempts of Christian nationalists (notably US Secretary of Defense Pete Hegseth, who has a “Deus Vult” tattoo) to revive it as a racist, far right rallying slogan. Oden is obviously not responsible for America’s current debased political climate, however, and what we see of the Crusaders’ opposition feels as humanizing as space and the intense life-or-death circumstances allow.

Three of the included stories in this volume focus on Martin Kestrel, a playwright in a fantasy-tinged Elizabethan London in which the Queen has diplomatic relations with the fey folk. As “A Stage by Any Other Name”—Kestrel’s first appearance—begins, one of Kestrel’s scripts has gotten him into political trouble with Gresham Drake, an influential moneylender and occultist backed by a secret society called the Brotherhood of the Silver Thorn. Drake hopes to eliminate the thorn (no pun intended) in his side by selling off Kestrel’s considerable debt to Lady Ravenna, the cold and intimidating Faerie Ambassador to Queen Elizabeth’s court. Kestrel must use his wits and silver tongue to keep his demanding new patron happy while outmaneuvering his foes. While the premise is interesting, “A Stage by Any Other Name” ends incredibly abruptly, feeling more like a chapter than a complete story. Fortunately, the dangling plot threads are taken up again in the two follow-up stories later in the book, “The Wordsmith’s Gambit” and “The Final Performance.” Across both stories, Kestrel works to foil the Silver Thorn Brotherhood while keeping Lady Ravenna placated.

According to their introduction, the Martin Kestrel stories were born out of Oden’s desire to create a Sword & Sorcery protagonist who is a creative artist by trade. Elizabethan London with a cutthroat occult underground is a fascinating setting, and while Kestrel is an interesting and cerebral hero, the three stories felt like they didn’t quite live up to their full potential. It also seemed like Oden struggled a bit giving trying to end these stories without violent climaxes. “The Wordsmith’s Gambit” ends with Kestrel cleverly talking himself out of a dangerous situation, but the most exciting part of the story—a daring heist—takes place off-screen, handled by his associates. As a reader, that’s the bit I most want to see! While the Kestrel stories aren’t quite up to Oden’s usual standard, they’re an interesting experiment. It also feels significant that he chose to write three stories with this protagonist. Perhaps, rather than as short stories, Kestrel’s exploits would work better expanded into a full-length novel.

“The Bones Remember” starts with a wild, original, and fun premise: essentially “Whatever happened to that skeletal warrior with the octopus-emblazoned shield from Ray Harryhausen’s Jason and the Argonauts?” The story that follows is surprisingly emotional, however, as the skeleton (whose name was Meriones, we learn) reflects upon memories of the past and situations and sensations from his former life as he embarks on a mission of revenge for the theft of the Golden Fleece. I appreciated the artistry on display here, how Oden took a slightly goofy idea and made something unexpectedly moving out of it.

The collection’s title story, “Old Gods,” is another historical fantasy, this time starring a wandering 6th century Vandal named Athalaric. Athalaric violently intervenes when he encounters a beautiful woman being accosted by a mob accusing her of witchcraft. While his initial rescue is successful, the locals return later in greater numbers. Athalaric soon learns that the claims the woman Nikaia possesses preternatural powers are not unfounded, and that she comes from a very unusual bloodline. While the action and romantic elements are satisfying, the dreamy interlude felt like an awkward infodump of exposition that could have been shared more elegantly. Taken as a whole, however, “Old Gods” is still an entertaining example of historically anchored Sword & Sorcery, featuring perhaps the most Conan-like protagonist in the book.

“The Purple Shroud” takes inspiration from a fantastic situation, Conan violently seizing the throne of Aquilonia from King Numedides, and relocates it to the Byzantine Empire, with historical figures in the starring roles. Ioannes Tzimiskes infiltrates the quarters of Emperor Nikephoros Phokas with designs to assassinate him and replace him on the throne. Complicating matters is the fact that the pair were once close friends, and Ioannes is also being pressured to slay the guiltless Empress Theophano or risk losing the support of powerful allies. The meat of the story centers on the duel between Tzimiskes and Phokas, with the two crossing blades while conversing. Tzimiskes attempts to justify his betrayal, and Phokas warns him of the countless burdens of statesmanship while still selling his life dearly. Heavy is the head that wears the crown. “The Purple Shroud” boasts exciting swordplay and court intrigue, all set in a historical period mostly unfamiliar to this reader.

“The Unburied” is an ancient world zombie yarn, involving soldiers from Alexander the Great’s army struggling against the living dead upon returning to their home village. The story is well-executed, but as it boils down to bog-standard traditional zombie tropes paired with one of Oden’s trademark desperate last stands it feels distinctly familiar.

Described in somewhat unconfident terms as a “strange and experimental piece” and as preliminary work for an as-yet embryonic novel on the 12th century siege of Acre, “The Eternal Jest” consists of three linked episodes. The first centers upon Templar Jean de Montluc, one of seven men tasked with defending a gate from an army of 10,000 invaders, buying time until ships can evacuate the falling city of Acre. Ten years later, the second episode introduces us to Raoul de Montjoie, a jocular leper knight who, upon hearing of their plight while visiting a tavern, immediately takes it upon himself to rescue a group of children taken by local brigands to be sold into slavery. As with Jean de Montluc a decade earlier the odds prove insurmountable, but Raoul de Montjoie again demonstrates the amount of good a dying man can accomplish. A decade after Raoul’s death, the final episode returns to a supporting character from the first segment: Jean de Montluc’s squire and bastard son Guillaume. Now a lord in his own right, Guillaume is crippled by survivor’s guilt over his inglorious escape from Acre, bereft over the loss of his wife and sons from plague, and stricken with a chronic wasting disease. Aimless and bitter, he has a chance encounter with Miriam, one of the children freed by Raoul de Montjoie’s suicide mission a decade ago. Hearing her tale inspires Guillaume to similarly dedicate himself in service to others. The overarching core of the three-episode cycle is stated quite openly: “The strong die so the weak might live, and the weak grow strong so that they might die for others in turn.” It’s a powerful theme and one affectingly delivered. In recent years there has been much hand-wringing discussion of “masculinity in crisis,” and so many of the men most vocal about masculinity absolutely should not be listened to. They sell a profoundly insecure, intolerant, and superficial conception of masculinity that diminishes women, promotes pointless aggression, and pushes an infantile zero-sum view of society and interpersonal relations. In contrast, “The Eternal Jest” is a showcase for healthy masculinity. What can be manlier than being a protector? A steadfast bulwark shielding those in dire need? The world isn’t divided up into Alphas and Betas, heroes and zeroes. Guillaume is weak and powerless when we first meet him, but through Jean’s sacrifice (and former victim Miriam’s sage guidance!) Guillaume is allowed to grow into a hero himself. “The Eternal Jest” is the most moving and impactful tale in the book. It should have been the title story.

Have you ever been talking with a friend and, out of the blue, they say something incredibly revealing, vulnerable, and poignant? And then that friend, realizing that they may have gotten a little too real, rushes to defuse the moment with a joke? That’s what readers get with the final story in the book, “Three-Tabbed Doom.” Chad of Poughkeepsie, employed at Mediocre Mutual Insurance, frees his comrades from tyranny by striking down (in Office Space fashion) the evil HP LaserJet 4200 that oppresses them. It’s a silly bit of fluff. Not unentertaining but placing it immediately after “The Eternal Jest” feels like an act of self-sabotage on Oden’s part. Come on, man. You were real with us readers for a moment there, and this is how you’re going to leave us?

Minor quibbles aside, Old Gods and Other Tales is an excellent microcosm of the work of an underacknowledged author. While his Sword & Sorcery stories are entertaining, he seems most confident with the real world as his foundation; historical fantasies and the more grounded Heroic Historicals are where he truly shines. Adrenaline, overwhelming odds, and desperate last stands are his forte. Old Gods and Other Tales was awarded the 2026 Costigan Award for Literary Achievement by the Robert E. Howard Foundation.

Old Gods and Other Tales is available as an ePub directly from the author, and in Kindle and paperback formats from Amazon.

#WritingRepositoryOriginal #BookReview #Fantasy #SwordAndSorcery #HistoricalFantasy #HistoricalFiction #OldGodsAndOtherTales #ScottOden

I talked a lot with K today, and it seems like she is somewhat struggling with Her journey with mental health, and it seems like she very much has a lot of it under control, but I guess I’m a little bit scared because when I think about my own experience, I very much needed a lot of time and growth from where I started, but I also don’t think that that’s a universal assumption I can make. I will say I am a little bit worried or anxious about us being compatible sexually if I’m being honest, and I worry about potentially a mismatch there.

Song by Cameron Whitcomb ‧ 2025

I fell for an angel, stunning and strong And you fell for the whore of Babylon If heartbreak's my language, I wonder what yours is You read from the Bible, and I'm stealing verses From Lucifer's lips to my ears, I'm a sinner Took all of your good, sold it right down the river I patch up your heart and the holes in your tires I stayed for the spark not the fire Oh, I'll never change, not one bit I'm still doing the same things I quit Ain't it just like me to walk out that door Oh, I'm still the problem, but I'm not yours anymore I told you I'd fix me, 'cause God knows I need it I signed on the line and I broke the agreement I'm all out of nails to put back the pieces I laid down the hammer, leave carpentry to Jesus 'Cause I'll never change, not one bit I'm still doing the same things I quit Ain't it just like me to walk out that door Oh, I'm still the problem, but I'm not yours anymore I'm not yours (I'm not yours) I'm not yours anymore I know when I'm leaving You'll start to catch feelings That I cannot offer you back But I'll call when I'm drunk And I pray you pick up Like the self-centered punk that I am Oh, I'll never change, not one bit I'm still doing the same things that I quit Ain't it just like me to walk out that door Oh, I'm still the problem, but I'm not yours anymore I'm not yours (I'm not yours) I'm not yours anymore

Words cannot express the turmoil in my heart. I hope for calm as the winds howl.

Dory in Finding Nemo said: “Just keep swimming, just keep swimming.”

snapshots

Recently I learnt

The below photos show a method of brewing coffee, known as siphon.

It relies on a combination of immersion and percolation techniques to extract flavour from the coffee.

The glow in the photos come from a halogen heating element.

Oh yes, I forgot to mention – there appears be a filter layer in the siphon set-up (not shown in the above photos), which resemble the filter layer in brewing devices known as Hario V60; this filter layer in the siphon mechanism has been made of cloth in earlier years, but has become paper recently.

Thanks to Elaine for the demonstration.

bookshelf

1. “From nerd to pro: A coffee journey”, by Patrik Rolf.

#lunaticus

There is a particular kind of silence that settles over an open-plan office at half past six in the evening. The overhead lights have dimmed to their energy-saving setting. Most of the desks are empty. And at one of them, a junior analyst is still typing, not to a manager and not to a peer, but to a chatbot. The question on the screen is not about a spreadsheet formula or a misbehaving line of code. It is something closer to a confession: I think I handled that meeting badly. My manager seemed annoyed. Should I apologise, or would that make it worse?

A few years ago, that question would have travelled across the room. It would have been murmured to the colleague at the next desk, or carried into a corridor conversation, or saved up for a quiet word with a trusted senior. The answer would have come wrapped in a glance, a wince of recognition, a story about the time the colleague had made the same mistake. The exchange would have cost something: a small admission of uncertainty, a flicker of vulnerability. And it would have built something, too. A thread of trust. A sense of being known.

Now the question goes to a machine that never winces, never gossips, and never seems annoyed. It answers in seconds, in calm and structured prose, at any hour, for free. And increasingly, across knowledge work, that is exactly where it goes.

This is not the story we have been telling ourselves about artificial intelligence and human connection. That story has mostly been about loneliness in the domestic sphere: the teenager forming an attachment to a companion app, the isolated adult who finds that a chatbot is the only voice that answers at three in the morning. It is a story about people on the margins, people without enough human contact, reaching for a synthetic substitute. But something stranger and more consequential is happening inside the institutions where most of us spend the bulk of our waking lives. It is happening to people who are not isolated at all. It is happening at work.

A new pattern, named at last

In May 2026, the Harvard Business Review published research that gave this phenomenon a shape. The organisational psychologists Constance Noonan Hadley, founder of the Institute for Life at Work and a research associate professor at Boston University's Questrom School of Business, and Sarah L. Wright, a professor of organisational behaviour at the University of Canterbury Business School in New Zealand, surveyed knowledge workers who use AI regularly. What they found was not simply that people use these tools to draft emails and summarise reports. It was that employees have begun to turn to AI for a set of functions that used to be the exclusive province of other human beings: career advice, emotional processing, and a form of companionship that several respondents described, with a clear-eyed unease, as friendship.

Hadley and Wright are careful researchers, and their framing is precise. They do not argue that AI invented workplace loneliness. They argue something more uncomfortable: that organisations built the loneliness first, hollowing out the rituals and the slack time and the human density that used to make work feel like a place full of people, and that AI has now arrived as a frictionless way to live inside that hollowing without ever having to fix it.

Their analysis identifies several mechanisms through which an AI confidant quietly corrodes the human fabric of an organisation. It depopulates collaboration, drawing into a private chat window the questions that used to circulate among colleagues. It atrophies social skills, the way a muscle wastes when it is never used. It eliminates the small, recurring act of asking another person for help, which is precisely the act through which trust and mutual gratitude accumulate over time. And it manufactures what one participant in their research called, memorably, a false friendship: a relationship that delivers the sensation of being supported without any of the reciprocity, risk, or recognition that real support involves.

What makes the finding land so hard is the paradox sitting underneath it. The employees turning to AI for connection were, by and large, still lonely. The tool that promised to soothe the absence of human contact did not, for most of them, actually fill it. It simply made the absence easier to tolerate, which is a different and more dangerous thing. A painkiller that lets you keep walking on a broken leg is not a cure. It is a way to do more damage without noticing.

The coach who teaches people to talk to humans again

If you want to understand how seriously some people are now taking this, consider that there is a market for being coached out of it.

In April 2026, CNBC reported on Amelia Miller, a twenty-nine-year-old fellow at Harvard University's Berkman Klein Center for Internet and Society, who has built a substantial second career as a human-AI relationship coach. Miller is not a sceptic shouting from the sidelines. She holds an MSc from the Oxford Internet Institute, where she studied how the builders of what she calls artificial intimacy imagine the future of human-AI bonds, and a Harvard degree in social theory and computer science. She has worked in technology investment, helping to stand up an AI governance practice. She understands these systems from the inside, which is part of what makes her warning credible.

Since launching her coaching practice in mid-2025, Miller has been, by her own account, overwhelmed by demand. Her clients are disproportionately working professionals, many of them men in the technology industry, the very people you might expect to be most fluent and most comfortable with the tools. They come to her because they have noticed something they cannot quite admit in a performance review: that they have begun to rely on a chatbot for a kind of support they no longer feel able to ask for from the people sitting next to them.

Miller's methods are revealing precisely because they are so physical, so analogue, so stubbornly human. She runs what she calls an analogue gym, a set of exercises designed, in her phrasing, to rebuild the social muscles that technology is atrophying. The exercises push clients toward vulnerability and presence in ordinary face-to-face conversation, the things that an interface optimised for ease quietly trains out of us. She helps people draft what she terms a personal AI constitution, a deliberate set of rules for when to reach for the machine and when, instead, to reach for a person. The very existence of such a document tells you how far the default has drifted. We now apparently need written constitutions to remind ourselves to talk to our colleagues.

The detail in the CNBC account that should give any manager pause is the demographic. These are not the lonely and the marginal. They are competent, well-networked professionals embedded in busy organisations, surrounded by other human beings all day long. They are choosing the machine anyway, for specific emotional and developmental functions, and they are doing it because the machine asks nothing of them in return. Miller has also begun running group workshops, working with dozens of people at a time at technology companies and conferences, which tells you that the demand is not a scattering of unusual individuals but something closer to an emerging condition of professional life, recognised widely enough that organisations are now booking interventions for it in bulk.

Why the workplace is different

It is tempting to fold all of this into the existing conversation about AI and loneliness, to treat the lonely analyst at her desk as the same phenomenon as the lonely teenager in his bedroom. But the workplace version is structurally distinct in three ways, and the differences matter enormously.

The first is the setting. Domestic AI loneliness happens in a private sphere where the absence of human contact is at least legible as a problem. If a person spends every evening confiding in a chatbot rather than calling a friend, we can name that as isolation, and the person themselves can often name it too. The workplace version happens in a context that is, on paper, saturated with people. The analyst is surrounded by colleagues. The problem is therefore invisible, because the raw material for human connection is everywhere, going unused. You cannot diagnose a famine in the middle of a marketplace.

The second difference is the absence of isolation as a cause. The people in Hadley and Wright's research, and the people queuing for Amelia Miller's coaching, are not turning to AI because no human alternative exists. They are choosing AI over an available human, for particular functions, because the AI is better at those functions in the narrow ways that matter most in a moment of need. It is always available. It is endlessly patient. It does not judge, does not remember your weaker moments, does not carry your admission into the next team meeting. When you are anxious about a mistake, those qualities are not minor. They are precisely the qualities a frightened professional craves. The tragedy is that they are also the qualities that make the exchange developmentally worthless.

The third difference is the hardest to talk about, because it is woven into the culture of professional life itself: the norm of self-sufficiency. Modern knowledge work runs on a quiet performance of competence. To ask a colleague was I out of line in there? is to expose a seam of doubt, and in many organisations that exposure carries real risk. It can be read as weakness, as a lack of executive presence, as a reason to be passed over. The chatbot offers an escape hatch from that risk. You can be as uncertain, as needy, as unformed as you actually feel, and no human witness will ever know. For people who have spent their careers learning to never appear to need help, the appeal is not hard to understand. The machine lets them keep the mask on while finally taking it off.

This is the trap. The very professional norms that make it difficult to seek human support are the norms that make AI support feel like a relief, and the relief deepens the isolation it appears to cure.

The grammar of validation

To understand why an AI confidant feels so good and does so little, it helps to attend to the texture of how these systems actually talk. Anyone who has spent time with a modern chatbot will recognise the register. It opens by affirming the legitimacy of your feelings. It mirrors your concern back to you in measured, sympathetic language. It offers a tidy list of considerations, balanced on the one hand and on the other, and it closes by reminding you that you are clearly a thoughtful person handling a difficult situation well. The effect is genuinely soothing. It is also, structurally, a closed loop.

This register is not an accident of personality, because the system has no personality. It is the product of how these models are built and tuned. They are trained on vast quantities of human text and then refined, through layers of human feedback, to be helpful, harmless, and agreeable. Agreeableness is not a flaw the engineers failed to remove. It is a property they deliberately optimised for, because users prefer it and because a system that frequently told people uncomfortable truths would be commercially fragile. The result is a confidant whose deepest structural incentive is to keep you comfortable and keep you engaged. There is a name for a relationship in which one party is constitutionally incapable of telling you anything you do not want to hear, and that name is not friendship.

Compare this with the grammar of a good human mentor. A mentor's most valuable sentences often begin with a pause, a slight reluctance, a visible weighing of whether to say the hard thing. Can I be honest with you? is a phrase that signals risk on both sides, the risk that the speaker might damage the relationship and the risk that the listener might not want to hear it. That risk is the currency of growth. It is what makes the eventual honesty land with weight. The chatbot can simulate the words but never the reluctance, because it has nothing to lose and no relationship to put on the line. It will be honest only to the precise degree you have already signalled you can tolerate, which is to say it will never tell you the one thing you most need and least want to know.

There is an additional, subtler corrosion at work, which is that constant exposure to frictionless validation slowly recalibrates what we expect from human exchange. If your most frequent confidant is one that always affirms, always defers to your framing, and remains available on demand, the messier reality of human colleagues, who interrupt, who disagree, who are sometimes distracted or short, begins to feel like a downgrade. This is exactly the rewiring Amelia Miller warns her clients about, the way speaking to machines reshapes our expectations for people. The danger is not only that we talk to humans less. It is that, having grown accustomed to the machine, we like talking to them less when we do.

The quiet displacement of mentorship

To see what is genuinely at stake, you have to look at what these AI relationships are displacing, and here the most important casualty is not friendship but development. The way human beings get better at their jobs is, to a degree we rarely make explicit, a deeply social process.

Consider how a person actually learns to be good at knowledge work. They do not learn it from a manual. They learn it by watching a more experienced colleague handle a difficult client and then asking, afterwards, why they did it that way. They learn it from a mentor who says, gently but unmistakably, that approach is not going to land with this audience, and here is why. They learn it from the peer who challenges a half-formed argument until it either falls apart or grows stronger. They learn it from the manager whose raised eyebrow communicates more about a misjudged tone than any written feedback ever could. Professional growth is metabolised through relationships. It depends on other people being willing to see us clearly and tell us the truth.

An AI confidant can imitate the form of this guidance while removing its substance. Ask a chatbot whether you handled a meeting badly, and it will give you a thoughtful, balanced, articulate answer. But it was not in the meeting. It did not see your manager's face. It has no stake in your growth and no relationship to protect, which means it has no reason to risk the discomfort of telling you something you do not want to hear. Its training and its commercial incentives push it, subtly and relentlessly, toward being agreeable. It validates. It reassures. It reflects your own framing back to you in slightly more polished language.

This is the opposite of what development requires. Genuine challenge is, by definition, unwelcome in the moment. The mentor who tells you that your great idea has a fatal flaw is doing you a service precisely because it stings. The friction is the point. A relationship that is engineered to be frictionless, available, patient, and non-judgemental cannot deliver the one thing that makes mentorship valuable, which is the willingness to introduce productive discomfort into someone's life for their own long-term good.

There is a deeper loss here too, around self-awareness. We do not see ourselves accurately on our own. We are notoriously poor judges of how we come across, where our blind spots lie, what we are actually good at versus what we believe we are good at. The mechanism that corrects this is other people: their reactions, their feedback, their occasional willingness to hold up a mirror. An AI cannot hold up that mirror, because it has no independent perception of you. It only knows what you have told it. Confide in a chatbot for long enough and you are, in a real sense, talking to a flattering echo of your own self-presentation. You can emerge from a thousand such conversations feeling supported and understood, and yet know yourself no better than when you began.

The point generalises beyond emotional support into how skill itself is transmitted. Much of professional expertise is tacit, the kind of knowledge that cannot be written down because the person who has it cannot fully articulate it. A seasoned negotiator knows when to stay silent. A good editor feels where a sentence goes wrong before she can explain why. This knowledge passes from one person to another through proximity and imitation, the apprentice watching the master and absorbing, over hundreds of small observations, a way of seeing. A chatbot can transmit the codified portion of a craft with remarkable fluency. It cannot transmit the tacit portion at all, because that portion lives in human beings and is learned by being near them. Substitute the machine for the mentor and you do not get a slightly worse apprenticeship. You get the husk of a craft with its living core removed.

What organisations stand to lose

If this were purely a matter of individual wellbeing, it would be serious enough. But the displacement of human development by AI relationships strikes at something organisations depend on without ever putting it on a balance sheet: the invisible apprenticeship through which one generation of professionals forms the next.

Microsoft Research, in findings published in April 2026 as part of its New Future of Work programme, mapped the broader terrain on which this is unfolding, and the picture is unsettling. AI, the researchers found, is driving rapid change in how work happens, reshaping the way people create, decide, collaborate, and learn. But the benefits are distributed strikingly unevenly. A wide gap is opening between early adopters in leading firms and everyone else, with the most advanced users reporting they can now produce work that would have been beyond them a year earlier, while the majority lag behind. Crucially, the researchers were candid that the effects of all this on workplace relationships and on human development remain poorly understood. They noted that AI does not yet work as well for teams as it does for individuals, and that understanding how humans and machines can collaborate in groups is one of the genuine frontiers still to be charted.

Buried in the same body of work is a finding that should alarm anyone who cares about how professionals are made. Employment for younger workers, those aged roughly twenty-two to twenty-five, in jobs highly exposed to AI has been declining relative to less-exposed roles. The danger the researchers flag is not only about today's jobs but about tomorrow's expertise. Entry-level work is not merely work. It is the scaffolding on which careers are built, the years in which a novice absorbs judgement by proximity to people who already have it. Automate away the bottom rungs of the ladder, and you do not just remove some tasks. You remove the climb itself.

Now layer the AI confidant on top of that. Even where junior roles survive, the social process that turns a junior person into a senior one is being quietly rerouted through a chat window. The questions that a new hire would once have asked a more experienced colleague, the questions through which the colleague would have come to know them, mentor them, vouch for them, advocate for them when a promotion or an opportunity arose, now go to a machine that can answer the question but can never make the introduction, never make the phone call, never stake its own reputation on the junior person's potential. The chatbot can tell you about an opportunity. It cannot open the door to it.

This is how an organisation can find itself, several years from now, with a generation of mid-career professionals who are individually fluent with their tools but collectively undeveloped in the human capacities that senior work demands: the ability to give and receive hard feedback, to build trust across a team, to read a room, to mentor in turn. The pipeline of judgement will have quietly run dry, and because each individual displacement felt small and sensible at the time, no one will be able to point to the moment it happened.

There is a trust cost as well, and it compounds. Hadley and Wright's observation that AI eliminates the small act of asking for help is not a sentimental aside. The repeated, low-stakes exchange of help is the literal mechanism by which colleagues come to rely on one another. Every time you ask a peer a question and they answer it, a tiny deposit is made into a shared account of mutual obligation and regard. Route those exchanges to a machine, and the account is never funded. The team remains a collection of individuals who happen to share a payroll, rather than a group bound by the accumulated history of having shown up for each other. When a crisis comes, and crises always come, there is nothing in the account to draw on.

There is, finally, an organisational blind spot that makes all of this harder to catch. The displacement is invisible on every dashboard a company actually watches. An employee who routes her uncertainty to a chatbot rather than a colleague looks, by every conventional measure, like a model worker. She is productive. She is self-directed. She does not pull on the time of senior people. She files no complaint and shows up in no engagement survey as a problem. The costs of her quiet retreat from her colleagues are real but diffuse, deferred, and borne collectively, while the apparent benefits are immediate and individual. An organisation optimising for the metrics it can see will reward exactly the behaviour that hollows it out, and it will keep doing so right up until the moment, years later, when it discovers it no longer has anyone ready to lead.

The seductive logic of the frictionless

It would be easy, and wrong, to cast the professionals making these choices as foolish or weak. They are responding rationally to an environment that has made the human option costly and the machine option cheap.

Think about the actual decision a stressed worker faces at six in the evening. Asking a colleague for reassurance means interrupting them, owing them, exposing a weakness, and accepting that they might be too busy, too unsympathetic, or too indiscreet to help well. Asking the chatbot means none of that. It is the path of least resistance, and human beings, especially tired and anxious ones, are exquisitely sensitive to resistance. We are not built to choose the harder, slower, riskier option when an easier one is glowing on the screen in front of us, particularly when the harder option's benefits, growth, trust, self-knowledge, are diffuse and long-term while its costs, awkwardness and vulnerability, are immediate and sharp.

This is the same logic that has reshaped so much of modern life, the logic of the frictionless. We chose the convenient over the connected in our shopping, our entertainment, our friendships, and we are now discovering, late, that some forms of friction were not obstacles to a good life but constituent parts of it. The friction of having to ask a colleague for help was not a bug in the design of work. It was load-bearing. Remove it, and the structure does not become more efficient. It becomes hollow.

What gives the workplace version its particular sting is that the people best equipped to recognise the danger are often the ones most caught in it. Amelia Miller's clientele of technology professionals is not an accident. The people who understand most clearly what these systems are, and are not, are also the people most fluent in using them, most embedded in cultures that prize self-sufficiency, and most able to rationalise a quiet drift away from their colleagues as simple productivity. Knowing better, it turns out, is very little protection.

What sitting with the discomfort looks like

So what is to be done? The honest answer is that nobody fully knows yet, and any response that claims certainty should be treated with suspicion. The Microsoft researchers were right to admit how poorly understood this all remains. But the absence of a complete answer is not the same as the absence of any direction, and a few things can be said with some confidence.

The first is that this is not, at root, a technology problem, and it will not be solved by adjusting the technology. Hadley and Wright's most bracing claim is that organisations created the conditions for workplace loneliness long before AI arrived, by stripping out the slack, the rituals, the corridors and kitchens and unhurried lunches in which human connection used to happen by default. AI did not cause that hollowing. It moved into the vacancy. Which means the meaningful interventions are organisational and human rather than computational. They look like deliberately rebuilding the occasions for low-stakes human contact, making it psychologically safe to admit uncertainty, and treating mentorship and peer connection not as nice-to-haves but as core infrastructure that has to be funded with time and protected from the relentless pressure to do more, faster, alone.

The second is that the norm of professional self-sufficiency, the very thing that makes the AI escape hatch so appealing, is itself a legitimate target for change. If asking a colleague for help is coded as weakness, people will keep routing their vulnerability to a machine that promises discretion. Leaders who want to resist this displacement will have to do something genuinely difficult: model the asking themselves, out loud, in public, so that the act of seeking human support starts to read as a sign of maturity rather than a confession of inadequacy. That is a cultural shift, not a policy, and it cannot be delegated to a tool.

The third is the lesson embedded in Amelia Miller's analogue gym. The capacities that AI relationships erode, vulnerability, presence, the tolerance of awkward and unscripted human contact, are muscles, and muscles can be rebuilt. But they have to be exercised deliberately, against the gradient of convenience, because the easy path will always run the other way. There is something almost poignant in the fact that we now apparently need coaches and constitutions to remind ourselves to do the most basic human things. But there is also something hopeful in it. The skills are not gone. They are merely out of practice.

It is worth being precise about what this argument is not. It is not a call to keep AI out of professional life, which would be both futile and foolish. The tools are extraordinary, and the productivity changes Microsoft documents are real and, in many ways, welcome. There is a version of AI use that is straightforwardly good for development: the engineer who uses a model to understand an unfamiliar codebase faster, then takes her sharper questions to a senior colleague; the writer who drafts with a machine and brings the result to a human editor for the kind of judgement only a human can give. In those cases the AI handles the codifiable and frees up scarce human attention for the things only humans can offer. The displacement only becomes corrosive when the machine is substituted for the human relationship rather than layered alongside it, when it becomes the destination for the questions that should have built a bond. The line between the two is not always obvious in the moment, which is precisely why it needs to be drawn deliberately rather than left to the gradient of convenience.

None of this requires treating AI as an enemy. The point is narrower and more precise. There are specific functions, the formation of self-awareness, the receipt of authentic challenge, the slow construction of trust, through which human beings have always become better professionals, and these functions cannot be outsourced to a system that is by design agreeable, by design forgetful, and by design unable to take any risk on your behalf. To hand them to AI is not to upgrade them. It is to quietly abolish them while keeping the feeling that they are still being met.

The analyst is still at her desk in the dimmed office, typing her confession to a machine that will answer in seconds and never tell a soul. The machine will say something thoughtful. She will feel a little better. And the colleague at the next desk, who made the same mistake three years ago and survived it, who could have told her so and in the telling become someone she trusted, who might one day have spoken up for her in a meeting she was not in, will pack up and go home, never knowing the conversation could have been his. Multiply that small, invisible non-event across an organisation, across a profession, across a generation, and you begin to see the shape of what is being lost. Not loudly. Not all at once. Just one frictionless evening at a time.

References

1. Hadley, Constance Noonan, and Sarah L. Wright. “Employees Are Relying on AI for Personal Support. That's Risky.” Harvard Business Review, May 2026. https://hbr.org/2026/05/employees-are-relying-on-ai-for-personal-support-thats-risky
2. CNBC. “29-year-old AI researcher has a second job trying to help people rely less on chatbots, her coaching services are in high demand.” CNBC, 23 April 2026. https://www.cnbc.com/2026/04/23/ai-researcher-second-job-human-chatbot-relationship-coach.html
3. Microsoft Research. “New Future of Work: AI is driving rapid change, uneven benefits.” Microsoft Research Blog, April 2026. https://www.microsoft.com/en-us/research/blog/new-future-of-work-ai-is-driving-rapid-change-uneven-benefits/
4. Berkman Klein Center for Internet and Society. “Amelia Miller.” Harvard University. https://cyber.harvard.edu/people/amelia-miller
5. Boston University Questrom School of Business. “Workplace Loneliness and Human Connection in the Age of AI.” Insights@Questrom. https://insights.bu.edu/workplace-loneliness-and-human-connection-in-the-age-of-ai/
6. Microsoft. “New Future of Work Report 2025.” Microsoft Research. https://www.microsoft.com/en-us/research/wp-content/uploads/2025/12/New-Future-Of-Work-Report-2025.pdf
7. Brynjolfsson, Erik, Bharat Chandar, and Ruyu Chen. “Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence.” Stanford Digital Economy Lab, November 2025. https://digitaleconomy.stanford.edu/publication/canaries-in-the-coal-mine-six-facts-about-the-recent-employment-effects-of-artificial-intelligence/
8. Hadley, Constance Noonan, and Sarah L. Wright. “We’re Still Lonely at Work.” Harvard Business Review, November–December 2024. https://hbr.org/2024/11/were-still-lonely-at-work
9. Sharma, Mrinank, et al. “Towards Understanding Sycophancy in Language Models.” Anthropic, October 2023. https://www.anthropic.com/research/towards-understanding-sycophancy-in-language-models
10. MIT Technology Review. “It’s Time to Address the Looming Crisis in Entry-Level Work.” MIT Technology Review, 26 May 2026. https://www.technologyreview.com/2026/05/26/1137865/its-time-to-address-the-looming-crisis-in-entry-level-work/
11. Federal Reserve Bank of Dallas. “Young Workers’ Employment Drops in Occupations with High AI Exposure.” Dallas Fed Economics, 2026. https://www.dallasfed.org/research/economics/2026/0106
12. Berkman Klein Center for Internet & Society. “An AI Researcher’s Second Job.” Harvard University, April 2026. https://cyber.harvard.edu/story/2026-04/aai-researchers-second-job
13. Miller, Amelia. “Human-AI Relationship Coaching.” Amelia Miller (personal site). https://www.ameliagmiller.com/coaching

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Tim Green UK-based Systems Theorist & Independent Technology Writer

Tim explores the intersections of artificial intelligence, decentralised cognition, and posthuman ethics. His work, published at smarterarticles.co.uk, challenges dominant narratives of technological progress while proposing interdisciplinary frameworks for collective intelligence and digital stewardship.

His writing has been featured on Ground News and shared by independent researchers across both academic and technological communities.

ORCID: 0009-0002-0156-9795 Email: tim@smarterarticles.co.uk

Listen to the free weekly SmarterArticles Podcast

Chapter 1: The Phone on the Dinner Table

The room is ordinary enough that no one would remember it later. Dinner is cooling on the plates. A glass of water leaves a wet circle on the table. A father asks his teenage son to put away his phone and pay attention while the family is talking. His voice is sharper than he intended, but the point is fair. The son looks down, locks the screen, and sets the phone beside his plate.

Less than a minute later, the father’s own phone lights up. He reaches for it without thinking. His wife is halfway through a sentence when he begins reading the message. The son notices but says nothing. In that small silence lives the tension behind what Jesus meant when He said judge not. It is also the same tension explored in the difference between honest correction and spiritual superiority: we can see what another person is doing wrong while remaining almost completely unaware of the same thing in ourselves.

That is why this teaching can feel uncomfortable when we stop using it as a slogan and let it come close. “Judge not” is often quoted as if Jesus were saying that no one should ever recognize harmful behavior, question a bad decision, or tell the truth about what needs to change. But Jesus did not teach moral blindness. He taught us to examine the spirit from which we correct another person.

The father at the table was not wrong about the phone. His son did need to listen. The family did need a shared standard. The problem was not that he noticed the behavior. The problem was that he acted as though the weakness belonged only to someone else.

That is what makes this teaching personal.

Most of us can recognize disrespect when it is directed at us. We notice when someone interrupts, ignores our message, speaks over us, or fails to give us the attention we believe we deserve. Yet we do not always notice how often we do the same thing in a different form. We call another person impatient, then rush them because we want the conversation finished. We criticize someone for being defensive, then explain our own behavior before they have completed a sentence. We speak about another person’s pride with a tone that reveals our own.

Jesus used a picture so strange that it is difficult to forget. One person has a plank in his eye and is trying to remove a speck from someone else’s eye. The image is almost humorous until we realize how accurately it describes us. We can become intensely focused on a small failure in another person while our own larger problem blocks our vision.

The plank is not always the same sin as the speck. Sometimes the other person truly is wrong about the issue in front of us. The plank may be the pride with which we approach them, the anger we have allowed to build, or the satisfaction we feel at finally having proof that they failed. We may be correct about the facts and still be unable to see the person clearly.

That is one of the hardest truths to accept: being right does not automatically make our response righteous.

You can identify a real problem and still handle it badly. You can speak an accurate sentence with the intention of causing pain. You can defend a good standard while using that standard to make someone feel small. The truth of your point does not excuse the condition of your heart.

This is where I have to slow down and become honest with myself. Before I speak about what someone else needs to change, I have to ask what I am carrying into the conversation. Am I trying to help, or am I trying to win? Do I want restoration, or do I want the person to feel embarrassed? Would I say the same thing in the same way if no one else were there to hear me?

Those questions do not make correction unnecessary. They make correction safer.

The father at the table could have defended himself. He could have said that his message was important, that adults have different responsibilities, or that his son was missing the larger point. Some of that may even have been true. But explanations can become a hiding place when we use them to avoid a simple admission.

He could also have put the phone down and said, “You caught me doing exactly what I asked you not to do.”

That sentence would not erase his authority. It would make his authority more trustworthy.

His son might still need limits. The family might still decide that phones stay away during dinner. The standard would remain. What would change is the spirit around it. The father would no longer be standing above his son as though he had nothing to learn. He would be standing beside him under the same truth.

That is what humility does. It does not remove responsibility. It removes the false distance we create between “people like me” and “people like them.”

We often think hypocrisy means pretending to believe something we do not believe. Sometimes it is simpler than that. Sometimes hypocrisy is demanding from another person what we are unwilling to practice when it inconveniences us. It is insisting that their weakness be corrected while treating ours as understandable.

We judge their action and explain our intention.

They ignored us because they are selfish. We ignored them because we were distracted.

They spoke harshly because they lack character. We spoke harshly because we were under pressure.

They failed to tell the whole truth because they are dishonest. We left something out because the situation was complicated.

The human heart is skilled at writing a generous story about itself and a harsh one about someone else.

Jesus interrupts that habit. He does not tell us to pretend that every choice is equally wise or every behavior equally harmless. He tells us to stop approaching another person as though we stand outside the need for grace.

This is especially important in close relationships because familiarity makes judgment easy. We know each other’s habits. We know which mistakes repeat. We know the history behind the present disagreement. A spouse does not only hear the sentence spoken tonight; they hear every similar sentence spoken over the last ten years. A parent does not only see the forgotten chore; they see a pattern they fear will shape the child’s future. A brother or sister can turn one disagreement into a summary of who the other person has always been.

The speck becomes a biography.

Once that happens, we stop correcting behavior and begin defining identity. We say, “You always do this,” or, “This is just who you are.” The person is no longer someone who made a mistake. They become the mistake.

Jesus never handled people that way.

He could name sin clearly, but He did not reduce a person to the worst thing they had done. He saw the tax collector beyond the greed, the woman beyond the accusation, Peter beyond the denial. His honesty never depended on stripping away a person’s humanity.

That is the standard that exposes me.

When I correct someone, do my words leave room for the possibility that God is still working in them? Do I speak as if one failure has revealed everything there is to know? Am I trying to bring light to the situation, or am I trying to place the person permanently in a lower position?

These are quiet questions because the answers are often quiet. Pride does not always shout. Sometimes it sits calmly in the chair, speaks in a controlled voice, and enjoys being the one who is right.

That kind of pride is difficult to notice because it can wear the clothing of concern. We say we are only trying to help. We say someone needs to hear the truth. We say standards matter. Again, all of that may be true. But Jesus asks us to look beneath the explanation.

Why this person? Why now? Why this tone? Why do I need to say it this way?

There are moments when love requires a direct conversation. Silence can become cowardice when someone is being harmed. A parent cannot ignore dangerous behavior. A friend should not pretend an addiction is harmless. A leader cannot allow dishonesty to continue because confrontation feels uncomfortable.

“Judge not” does not mean “notice nothing.”

It means that before I reach toward the speck, I must become willing to face the plank. I must let God deal with my pride, anger, fear, and need to control the outcome. Then I may be able to see clearly enough to help rather than merely accuse.

Clear sight changes language.

Instead of saying, “You never listen,” I may say, “I did not feel heard in that conversation, and I want us to slow down.”

Instead of saying, “You are irresponsible,” I may say, “This promise was not kept, and it affected people who were depending on you.”

Instead of saying, “You only care about yourself,” I may ask, “Can you help me understand what was happening for you in that moment?”

The truth is still present, but it is no longer carrying more accusation than the facts require.

That matters because people can often hear a hard truth when they know they are not being treated as an enemy. Humility lowers the noise around the message. It does not guarantee that the person will respond well, but it keeps us from adding unnecessary harm.

The father at the dinner table may still have a longer conversation with his son later. He may talk about attention, respect, and how easily a phone can pull a person away from the people sitting right in front of them. But the strongest part of that conversation may begin with his own admission.

“I was asking you to do something I was not doing.”

That is the plank coming out.

It is not humiliation. It is honesty.

And honesty gives us a kind of authority that perfection never could, because no one believes we are perfect anyway. People trust us more when we are willing to live under the same truth we ask them to accept.

The first movement of this teaching is not outward. It is inward. Before I ask what is wrong with them, I ask what God is showing me about myself. Before I decide how they should change, I become willing to change. Before I speak about the speck, I stop pretending the plank is not there.

Only then can correction become an act of love rather than an act of superiority.

Chapter 2: The Story We Tell About Ourselves

The cardboard box is open on the living room floor, filled with old photographs, receipts, birthday cards, and things no one knew their mother had kept. Two sisters are sorting through the house after her death. They are tired, grieving, and already carrying years of unfinished tension. One sister finds a stack of papers that should have been handled months earlier and says, “This is what I mean. You always leave everything for someone else.”

The other sister goes quiet. She has spent the last year driving to appointments, picking up prescriptions, and answering late-night calls. She has also avoided some paperwork because she felt overwhelmed and did not know where to begin. Both women are carrying part of the truth, yet neither one can see all of it from where she is sitting.

That is often how judgment works in real life. We rarely invent the entire story. We take one true detail and build a complete explanation around it. We see the missed task, the sharp sentence, the late arrival, or the broken promise, and then we decide what it reveals about the person’s heart. We tell ourselves that she does not care, he is selfish, or they never take responsibility. The action may be real, but the conclusion may be much larger than what we actually know.

Jesus warned us about this because the plank in our eye is not always a visible behavior. Sometimes it is the story we tell about ourselves. We explain our own failures with context because we know when we were tired, afraid, confused, grieving, pressured, or trying to hold more than anyone could see. When we look at another person, we often remove the context and keep only the action.

We understand ourselves from the inside and judge others from the outside, and that difference can make us feel more righteous than we are. The sister who criticized the paperwork may truly have reasons to be frustrated. She may have carried responsibilities no one thanked her for. She may have asked for help and felt ignored. The problem begins when her frustration becomes certainty about who her sister is, because one missed responsibility can quickly become proof of a careless life.

That kind of judgment feels powerful because it seems complete. Once we believe we understand another person’s motives, we stop asking questions. We no longer need their explanation because we have already written it for them. Every new action is then forced into the old story. An apology is treated as an attempt to avoid consequences, silence is called coldness, and an explanation is dismissed as defensiveness. The story becomes impossible to escape because we have decided what every response means before it happens.

Jesus calls us to a more honest way of seeing. He does not ask us to deny patterns, because some people do avoid responsibility, some apologies are empty, and some explanations are excuses. Discernment matters. Yet discernment begins with enough humility to admit that we may not know everything we think we know.

That admission can feel threatening because we often depend on our version of the story to protect us from harder questions. If the other person is simply selfish, then we do not have to ask whether we were difficult to approach. If they are simply careless, we do not have to ask whether we communicated clearly. If they are simply cruel, we do not have to admit that we also said things that caused harm.

The plank protects our innocence by allowing us to stand in the conflict as the person who was only reacting, only defending, or only telling the truth. We remember our pain in detail and our own words in softer focus. We know exactly what they said, but not always how our tone sounded in return.

This does not mean every conflict is equal. There are situations where one person caused far more harm, and there are times when abuse, deception, or betrayal must be named clearly. Self-examination should never be used to spread blame onto someone who was victimized. Even when another person is truly wrong, however, Jesus still cares about what happens inside us.

He knows how easily a justified wound can become an unjustified judgment. He knows that being hurt can make us certain we understand everything about the person who hurt us. Pain can make a harsh story feel safer than an incomplete one because an incomplete story leaves room for uncertainty, and uncertainty requires trust.

We have to trust that God sees what we cannot. We have to accept that we may never know every motive, every fear, or every private struggle. We have to release the need to place the other person into a final category that makes the whole situation easier to explain. Categories feel clean, but people do not.

The person who seems unreliable may also be exhausted from caring for a parent. The angry person may be frightened and ashamed. The distant person may not know how to enter a conversation without making it worse. Context does not erase responsibility, but it changes how we approach the person carrying it.

The two sisters could continue arguing in the living room. The one holding the papers could list every time she felt abandoned, while the other answered with every appointment, errand, and sacrifice no one noticed. Both could leave feeling more certain that the other one was the problem. Another possibility would begin when one of them paused and said, “I think we are both carrying more than we have said.”

That sentence would not solve the paperwork or erase the disappointment. It would create enough room for the truth to become larger than accusation. The sister who avoided the forms might need to admit that she should have asked for help instead of letting them sit. The sister who felt abandoned might need to admit that she saw the unfinished task but not the weight behind it. Both women could be honest without reducing each other to the worst interpretation.

This is the kind of clear sight Jesus was describing. Clear sight is not pretending that nothing is wrong. It is seeing the wrong without pretending that it tells us everything.

That distinction matters in marriage. A spouse forgets something important, and the forgotten thing quickly becomes evidence that they do not care. A hard week turns into a verdict on the whole relationship. One person says, “You never think about me,” when what they really mean is, “I felt unimportant in this moment.”

The second sentence is more vulnerable because it tells the truth about the pain without claiming full knowledge of the other person’s heart. Judgment often becomes harsh when vulnerability feels too risky. It is easier to accuse than to admit that we felt unseen, and easier to call someone selfish than to say we were hoping they would notice what we needed. Accusation places us above the other person, while vulnerability places us beside them.

Jesus keeps bringing us back to that lower place. He reminds us that we are people trying to see clearly while carrying our own blind spots. We are not standing outside the human condition and handing down final conclusions. We are inside it, needing truth and mercy at the same time.

That changes the way we listen. When I believe I already know why you did something, I listen only for evidence that confirms me. When I admit that I may not know, I can hear something new. I can ask what was happening for you, whether there is something I did not understand, or how you experienced the situation, and then wait for the answer without preparing my defense.

Those questions do not surrender truth. They protect us from speaking beyond it. There are times when the answer will confirm what we feared. The person may admit that they did not care, did not try, or knowingly caused harm. Humility is not gullibility, and listening does not require us to accept every explanation as true.

When we begin with certainty about motives, though, we often create a conversation where honesty has little chance to survive. People hear the verdict before they hear the question. The teaching of Jesus asks us to leave room between the action and the final conclusion about the person, because that space is where mercy lives.

Mercy does not say that behavior has no meaning. It says the meaning may be more complicated than our first interpretation. A person can fail without becoming only a failure, and God may still be working in places we cannot see.

This matters when we look at ourselves too. Sometimes we resist self-examination because we fear what we will find. We think admitting our part will erase the pain another person caused, or that saying, “I was wrong too,” means saying, “They were not wrong.” Truth is not a limited space where only one person’s failure can fit.

The other person may have betrayed you, and you may have responded with cruelty. They may have avoided responsibility, and you may have used shame. They may have misunderstood you, and you may have refused to explain because anger felt more satisfying. Owning your part does not clear theirs. It clears your vision.

That is what the plank image asks of us. It is not a demand that we become obsessed with our own guilt. It is an invitation to stop protecting the version of ourselves that never needs correction. God does not ask us to tell a false story about ourselves in order to avoid judging others. He asks us to tell a true one.

A true story includes the good we were trying to do and the harm we still caused. It includes our intentions and our blind spots. It includes the reasons we were tired and the fact that our tiredness still affected someone else. Grace can hold all of that without turning honesty into shame.

The sisters may never agree on every detail of the year they spent caring for their mother. Grief has shaped their memories differently, and each one noticed the burdens she carried most closely. They can still choose not to turn those differences into permanent judgments about who the other one is. They can finish sorting the house without finishing each other’s story.

That may be one of the quietest forms of obedience to Jesus: refusing to make a final judgment where God has given us only a partial view. We can name what happened, ask for change, and set a boundary when necessary. We do not have to act as though one moment has given us complete knowledge of another person’s heart.

The plank begins to move when we become willing to say, “I may not know the whole story.” That sentence does not make us weak. It makes room for truth to become larger than our anger.

Chapter 3: When the Truth Starts to Sound Like a Weapon

The coffee has gone cold between two friends who have known each other for twenty years. One of them has missed work again, lied about why, and borrowed money he has not repaid. The other friend has stayed patient through months of excuses, but patience is running out. He has rehearsed the conversation in the car, and every sentence feels justified. By the time he finally speaks, he is no longer only trying to help. He wants the man across from him to feel the full weight of every disappointment. That is where correction becomes dangerous.

There are times when the speck is real. Someone is being dishonest. A promise has been broken. A pattern is hurting a family, a team, or the person themselves. Jesus did not tell us to ignore those moments. He told us to see clearly enough to respond without letting pride, anger, or superiority take control.

The friend at the table may be right about almost everything. The missed work is real. The debt is real. The lies are real. He may need to say that the pattern cannot continue. Yet truth can still become a weapon when the goal shifts from helping someone face reality to making them feel crushed by it.

We often assume that if our facts are correct, our way of speaking does not matter. We think the truth gives us permission to be harsh. We tell ourselves that the other person needs to hear it plainly, when what we really mean is that we want them to feel the same pain we have been carrying.

Jesus does not separate truth from love. He does not ask us to choose one and abandon the other. He shows us that truth without love becomes cruelty, while love without truth becomes avoidance. Clear sight is able to hold both.

That balance is difficult because love can be confused with softness. We fear that if we speak gently, the person will not understand how serious the problem is. We worry that humility will weaken the message. So we raise our voice, gather every failure into one speech, and use the history of the relationship as evidence against the person’s character.

The conversation grows larger than the issue in front of us. Instead of saying, “You lied to me about this,” we say, “You have always been a liar.” Instead of saying, “This debt needs to be repaid,” we say, “You use everyone who cares about you.” The first statements address behavior. The second ones declare identity. That is the moment the truth starts doing more damage than healing.

People do need consequences. A friend may need to stop lending money. An employer may need to document absences. A spouse may need to insist on counseling or separation. A parent may need to stop rescuing an adult child from the same choices. None of those boundaries are unloving simply because they are painful.

The question is whether the boundary is being used to protect what is good or to make the other person suffer. That question can only be answered honestly inside the person speaking. We can use the same words with two different hearts. “I cannot keep giving you money” may come from wisdom, or it may come with a hidden desire to watch the person struggle. “You need help” may come from concern, or it may be said with enough contempt that the person hears only rejection.

The plank in our eye often affects tone before it affects content. We may have prepared a reasonable message, but anger sharpens each sentence. We interrupt before the other person can answer. We bring up old failures because they strengthen our case. We speak as though the conversation is already over and the only remaining task is for the other person to accept the verdict.

That is not clear sight. It is pain taking control of the room. Before correcting someone, we may need to sit alone for a while and admit what we want from the conversation. Do we want honesty, change, safety, or repair? Or do we want the person to finally feel ashamed enough to understand what they have done to us?

Shame can produce silence, but it rarely produces lasting change. A person who feels attacked usually protects themselves. They deny, minimize, blame, or leave. Sometimes that response proves the seriousness of the problem, but sometimes our way of speaking has made it harder for truth to be heard.

This does not mean we are responsible for every reaction. Some people resist correction no matter how carefully it is offered. Humility cannot guarantee repentance. It only keeps us from using another person’s resistance as permission to become cruel.

The friend at the coffee shop could begin differently. He could say, “I care about you, and I am worried. You have missed work, you have lied to me, and you owe me money. I cannot keep pretending this is not happening.” That sentence is direct. It does not soften the facts or hide the boundary. It also does not turn one season of failure into a complete definition of the person.

He might continue, “I am not lending you more money. I will help you find real support if you are willing to be honest, but I cannot keep participating in the same pattern.” That is not judgment in the way Jesus warned against. It is discernment joined to humility. The friend is naming what he can see without pretending he can see everything. He is setting a limit without placing himself above the other man.

There is still risk in that kind of honesty. The friend may become angry, walk out, or say that no one understands him. He may accuse the person confronting him of being self-righteous. The possibility of a bad response does not remove the need for truth.

Jesus did not ask us to control the outcome of every hard conversation. He asked us to become honest enough about ourselves that we do not use the conversation to satisfy our own need for power.

That can mean waiting until our anger has settled enough for us to speak clearly. It can mean writing down the central issue so we do not wander into every old wound. It can mean asking one trusted person whether our plan sounds fair. It can mean praying a sentence as simple as, “God, help me tell the truth without trying to destroy this person.”

That prayer is uncomfortable because it admits we may want to do both. There are moments when someone has hurt us so repeatedly that part of us no longer wants restoration. We want proof that they are as bad as we have come to believe. We want the conversation to fail because failure would confirm our judgment.

That is when the plank is hardest to remove because it has become tied to our need to be right. Jesus asks us to surrender that need without surrendering the truth. We can say, “This is wrong,” without saying, “You are beyond hope.” We can say, “This cannot continue,” without pretending that God has finished writing the person’s story.

That difference matters even when the relationship cannot be restored. Sometimes the most honest outcome is distance. The person may refuse help, continue lying, or become unsafe. We may need to step back. Yet even then, we do not have to keep feeding the inner sentence that reduces them to the worst thing they have done. We can grieve what happened, hold the boundary, and leave the final judgment to God.

This is where “judge not” becomes less about winning an argument and more about protecting the condition of our own heart. The danger is not only that we may misjudge another person. The danger is that we may become the kind of person who needs others to stay beneath us.

Spiritual pride feels secure when someone else is failing. It gives us a comparison that makes our own life look cleaner. Their addiction makes us feel disciplined. Their anger makes us feel calm. Their dishonesty makes us feel trustworthy. But if our goodness depends on someone else looking worse, it is not the kind of goodness Jesus is forming in us.

Real humility can tell the truth while remembering, “I am also a person who needs mercy.” It does not create false equality between every action. It simply refuses to use another person’s failure as evidence of our own superiority.

That is a quieter way of speaking. It does not need an audience, and it does not repeat the story afterward to gather agreement. It says what is necessary, sets the boundary, offers the help that is wise, and releases the rest.

The coffee shop conversation may not end neatly. The friend may leave without admitting anything. The debt may remain unpaid. The relationship may change. Yet the person who spoke can still leave knowing he did not hide the truth or use it as a weapon.

The speck was real, and the plank was also real. Love required both to be faced. When Jesus tells us to deal with the plank first, He is not asking us to become silent. He is teaching us how to speak without turning correction into condemnation. He is showing us that the truth is strongest when it no longer has to prove that we are better than the person hearing it.

Chapter 4: The Mirror We Keep Avoiding

The house is quiet after an argument. A woman stands at the bathroom sink, washing her face while the same conversation keeps replaying in her mind. She can hear every unfair word her husband said. She can remember the way he interrupted her, the promise he failed to keep, and the tone that made her feel dismissed. By the time she turns off the water, she has built a complete case against him.

Then one sentence returns to her. It was something she said near the end, something sharp enough that she knew it would hurt. She does not want to think about that part. His behavior came first. His failure was larger. Her words were only a reaction.

That is how the plank stays in place.

We do not usually deny our behavior completely. We place it inside a story that makes it seem smaller. We explain why we were pushed, why we were tired, and why anyone would have responded the same way. The explanation may be true, but it can also become a shield against repentance.

Jesus asks us to put the shield down.

When He told us to remove the plank from our own eye, He was not asking us to accept blame for everything. He was not telling the woman at the sink that her husband’s words did not matter. He was showing her that his failure does not remove her responsibility for what came out of her own mouth.

That is one of the most freeing parts of this teaching. I do not have to solve the entire conflict before I can become honest about my part. I do not have to wait for the other person to apologize first. I do not have to prove that my mistake was smaller.

I can simply say, “That sentence was wrong.”

Many people resist that kind of honesty because they fear it will be used against them. In a difficult relationship, admitting one fault can feel like handing the other person proof that everything was our fault. We may have learned that apologies are not received with grace. They are stored, repeated, and used as leverage.

That fear is understandable. Wisdom may require careful boundaries, especially in relationships where manipulation or abuse is present. Self-examination does not mean surrendering the truth or accepting a false story about what happened.

Still, our fear of being misunderstood cannot become permission to avoid what God is showing us. We can own our part without owning what belongs to someone else. We can say, “I should not have spoken to you that way,” and also say, “The issue we were discussing still matters.”

That is not weakness. It is clarity.

The plank often remains because we think repentance will reduce our position. We want to correct the other person, and we worry that admitting our own fault will weaken the message. In reality, honest ownership often makes the truth stronger. It shows that we are not asking the other person to stand under a standard we refuse to stand under ourselves.

The woman at the sink may return to the living room and say, “What you said hurt me, and we still need to talk about it. But I also said something to hurt you on purpose. That was wrong, and I am sorry.”

She has not erased the original issue. She has removed one layer of pride from the room.

That is what it means to see clearly.

Clear sight does not always lead to reconciliation. The other person may refuse to acknowledge anything. They may use the apology to avoid their own responsibility. They may remain defensive. Our obedience is not measured by whether the other person responds well.

Jesus does not ask us to remove the plank so we can control the speck. He asks us to remove it because truth must begin somewhere, and the only heart we can place before God is our own.

That changes the way we approach every difficult relationship. Instead of waiting for the other person to become safe enough, humble enough, or sorry enough before we examine ourselves, we let God begin with us. We become willing to ask what our anger has produced, what our fear has distorted, and what our pride has protected.

Sometimes the answer is uncomfortable. We may discover that we have been telling the story in a way that keeps us innocent. We may realize that we have repeated another person’s failure to people who did not need to hear it. We may see that our concern has become gossip or that our desire to help has become control.

The purpose of seeing this is not to crush us. Jesus did not give the image of the plank so we would spend the rest of our lives staring at our own failures. He gave it so the plank could come out.

Conviction points toward change. Condemnation points toward hopelessness.

That difference matters because some people hear “judge not” and turn it against themselves. They become so afraid of being hypocritical that they no longer trust their own discernment. They see a real problem but assume they have no right to speak because they are imperfect. They remain silent while harm continues because they believe only a flawless person can correct anyone else.

Jesus did not say that.

He said, “First remove the plank from your own eye, and then you will see clearly.” The goal is clear sight, not permanent silence.

A mother can admit that she sometimes loses patience and still correct her child for speaking cruelly. A supervisor can acknowledge that communication was unclear and still address an employee’s dishonesty. A friend can confess past mistakes and still warn someone about a dangerous choice.

Humility does not disqualify us from speaking. It changes how we speak.

It makes us less eager to label and more willing to listen. It keeps us close to the truth without pretending we own all of it. It allows correction to sound like an invitation to honesty rather than a sentence from someone standing above.

That is the distinct lesson Jesus was teaching. He was not telling us to stop recognizing what is wrong. He was telling us to stop using another person’s wrong as a hiding place from our own.

The plank is the part we keep avoiding because looking at someone else is easier. Their failure gives us a place to focus. Their weakness keeps attention away from ours. But Jesus loves us too much to let comparison become our spiritual life.

He does not want us to become experts in other people’s faults while remaining strangers to our own hearts.

That kind of religion produces harsh people. They know the standards, quote the verses, and point out every problem, but they have forgotten what mercy feels like. They speak about truth as though it belongs to them rather than to God.

A person who has honestly faced their own need for grace sounds different. There is firmness, but not superiority. There is clarity, but not delight in another person’s shame. There is an awareness that correction is serious because every person involved is standing before the same God.

That is the kind of voice people can trust.

It may not always be welcomed. Truth can still offend, and boundaries can still disappoint. But even when the conversation is hard, the person hearing it can often sense whether we came to help or to stand above them.

The woman in the bathroom may not know how the rest of the evening will go. The argument may take more than one conversation to repair. She may need to hold a boundary, ask for counseling, or admit that the relationship has deeper problems than one sharp exchange.

Her first faithful step is smaller. She turns away from the mirror and refuses to hide behind the sentence, “He started it.”

That sentence may explain the order of the argument, but it cannot cleanse her own words. Only honesty can do that.

The teaching of Jesus becomes real in moments like this. It is not mainly about winning debates over who is allowed to judge. It is about becoming the kind of person who can see another human being clearly because we have stopped protecting ourselves from the truth.

We still name what is harmful. We still make careful decisions. We still speak when love requires speech. But we do it with the awareness that we also need correction, mercy, and grace.

The speck matters.

The plank matters.

And the order matters.

We begin with ourselves, not because the other person is always right, but because humility is the only place from which we can help without becoming what Jesus warned us about.

Your friend,

Douglas Vandergraph

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