Scott Hansen brought a dead machine back to life, and the first thing it played was Midnight in a Perfect World. The machine was a beige Akai MPC60 II, caked in grime, its screen blown, its floppy drive jammed, paint peeling. It had spent roughly twenty years in storage as junk. Hansen, who records ambient electronic music as Tycho, had been asked by DJ Shadow to help with data recovery for the 30th anniversary remaster of Endtroducing....., the 1996 album that the Guinness Book of Records recognises as the first ever composed entirely from samples.

Shadow arrived at Hansen's studio with hundreds of floppy disks and the original MPC that the album was made on. Hansen took one look at the machine, abandoned the data project, and spent weeks soaking parts in dish soap and solvents, replacing the screen, and rebuilding the unit from the chassis up. When Shadow loaded the first disk and hit play, the room heard the opening bars of a record that has sat on Rolling Stone's 500 Greatest Albums list for a quarter of a century, coming not from a pressing or a file but from the instrument that made it.

The moment was a window in time, but it was also, if you think about what was really happening, a warning. The album that proved digital sampling could produce work as deep as any live recording turns out to be among the most fragile things in the archive.

Thirteen seconds and a turntable

To understand what came off those disks, you need to understand what went onto them. Endtroducing..... was built between 1994 and 1996 on three pieces of equipment: an Akai MPC60 MKII sampler, a Technics SL-1200 turntable, and an Alesis ADAT eight-track tape recorder. Shadow worked first in his California apartment, then at the Glue Factory, the San Francisco home studio of Dan the Automator, whose contribution was largely leaving the room and letting Shadow get on with using his gear.

The MPC60 II was a Roger Linn design, released in 1991. It sampled at 12-bit and 40kHz, which is lower fidelity than CD (16-bit, 44.1kHz), but it gave the recorded sound a particular graininess that became part of the album's texture. Its total sample memory, with the expansion board fitted, was 26.2 seconds of mono audio. That number shaped many aspects of the record. At roughly 60 kilobytes per second, the machine's entire memory fits on a single floppy disk. You are not making a 63-minute album inside 26 seconds of RAM. You are making it in layers, and each layer consumes the last.

Shadow's workflow was a hand-rolled paging system with tape as the backing store. He would sample vinyl fragments into the MPC, chop them in the machine's trim mode, assign the chops across the 16 pads, and sequence a pass. When memory was full, he bounced the MPC's output to a stereo pair of tracks on the ADAT, which gave him eight tracks of 16-bit, 48kHz digital audio on S-VHS tape. Then he wiped the MPC's memory and started the next layer, synced to what was already on tape. “It was all about chopping,” Shadow told an interviewer in 1997. “I never had the luxury of taking extended samples. There are lots of overdubs on the album, as well. But the whole record was 100% sample-based, or vinyl-based. All the sampling was done on the MPC. It all went straight from turntable to the MPC to tape.”

Each bounce was a converter round trip and another generation of tape. It was also irreversible. Once two layers were on the same pair of ADAT tracks, they could not be separated again. The process was compositional: the record's structure emerged from the order in which layers were committed to tape, and every commitment destroyed the working state that came before it. When the ADAT tracks were full, the whole thing was mixed down to DAT at the studio, where it was, in Shadow's words, “maybe compressed and limited a little bit.” By the end, there was no multitrack of the album. There was only a mix.

Patchwork as an instrument

The bounce-and-wipe cycle was a production constraint. The compositional innovation was what happened inside each layer before the bounce. Shadow did not sample loops; he sampled fragments, often too short to be recognisable as their source, and rebuilt them into something that functioned as a new composition. A two-second drum hit became a texture, and a horn phrase became a pad. A spoken-word clip became rhythm. The MPC's trim mode let him define start and end points within a sample, chop it into discrete regions, and convert the resulting slices into a “program” mapped across the pads. He then played the pads percussively, and the sequence the MPC recorded was a performance of fragments rather than a loop.

The method was harder than it sounds, because turntable pitch control was part of it. Shadow would adjust the speed of a record on the SL-1200 to match its tempo to the track he was building, sample at the altered speed, and let the MPC's transposition handle the rest. But transposition on a 12-bit sampler is resampling, not pitch-shifting in the modern sense.

Pitch and timbre are coupled. Play a sample two semitones down, and it gets darker, not just lower. The album's warm, murky quality is partly this: the sound of vinyl, through a cheap phono stage, through a 12-bit converter, through transposition that changes timbre as it changes pitch, through the analogue output of the MPC, through a Mackie desk, onto tape. Every stage adds character and removes bandwidth, and the accumulation of those small degradations is the record's unique sound.

The sequencer ran at 96 parts per quarter note, which gives 24 ticks per sixteenth note. Roger Linn's swing function, which he invented for his original LM-1 drum machine in 1979 and carried into the MPC, delays the second sixteenth note within each eighth note by a variable amount. At 66%, you get perfect triplet swing. On a 96ppq grid, that is a whole-tick offset of 8 ticks on a step that is 24 ticks long. The feel people describe as the MPC's “magic timing” is integer arithmetic on a coarse clock. Modern sequencers running at 960 or 4,096ppq cannot land on those positions without explicitly emulating the rounding. The grid provides the groove.

The collector's disks

Shadow does not appear to be the kind of person who loses things. He has a personal record collection exceeding 60,000 vinyl records, accumulated over decades of systematic crate-digging at shops like Rare Records in Sacramento, where he spent hours each day in the basement. For Action Adventure in 2023, he bought 200 radio-broadcast tapes from eBay and worked through records in his own collection he had never previously listened to.

So when Hansen describes “huge cases of floppy disks, hundreds and hundreds of them,” that number is not hoarding; it is the arithmetic of production. At 793 kilobytes per MPC60-formatted disk, with the machine holding 26 seconds of audio at 40kHz, one disk is roughly a full memory load. Two years of production, with each session potentially generating multiple saves of sequences and sample data, produces hundreds of disks by definition. And given Shadow's temperament, those disks were very likely ordered, labelled, and stored deliberately.

The MPC60 saves two kinds of data to floppy: sequences (the MIDI-like performance data, the arrangement of chops on pads, the timing, the swing settings) and sound files (the actual 12-bit audio). A “set” in MPC terminology is a collection of sequences with their associated sounds and parameters. When Hansen says Shadow “pulled up one of the sets,” the machine loaded a set, and the set contained enough information to play back a track through the MPC's own sound engine and converters. What came out of the speakers was not a recording of Midnight in a Perfect World. It was a rendering. The machine was performing the track from its source data, thirty years after the last time.

Four things that can die

The MPC restoration project that Hansen undertook as part of the album remaster shows what digital preservation means when the format is proprietary, the reader is discontinued, and the knowledge is tacit.

Media. Thirty-year-old double-density 3.5-inch floppy disks. Magnetic media degrades. The MPC60 formats DS/DD media to its own 793K layout rather than the standard 720K, using 10 sectors per track instead of 9, at 512 bytes per sector, double-sided, 80 tracks. A standard USB floppy drive cannot read this format at all. If you plug the disks into a modern computer, you get nothing.

Format. The Akai filesystem sitting on those sectors is proprietary. Recovering the raw bytes is not enough. Someone has to parse the file structures, understand how sequences reference sounds by name, and reconstruct the relationships between programs, sounds, and the sequences that play them. A missing sound file is a dangling pointer; the sequence plays, but silently.

Hardware. The actual MPC60 II that Shadow used in 1994-1996 was found with a dead display, a jammed floppy drive, grime coating every surface, and paint flaking off the front panel. He tore it to the chassis, soaked the parts, sourced a replacement screen, and rebuilt it. Had he not, and had this particular machine been thrown away by whoever stored it, a period-correct rendering of the album's source data would require finding another MPC60 II, hoping its converters and output stage were within tolerance, and accepting that the result would not be precisely the same. The restored unit is exact, which means the sound coming out of it when Shadow hit play was not a reproduction. It was the exact same signal path from the exact same device.

Knowledge. Which disk holds which track. Which set is the final version and which is an abandoned take. What order the bounces went in. What was done on the desk. Eight-character filenames on a machine with a two-line LCD display. Shadow's own memory is presumably the index, and it is the one thing you cannot image to a backup.

When Shadow's Mo' Wax singles were remastered in 2025 for a box set, the original DAT tapes were in some cases so aged and fragile that multiple machines were needed to get a clean transfer. DAT is a robust format by comparison. It is standardised, widely supported, and transfers digitally. The MPC floppies are none of these things.

What a full reconstruction would mean

What follows is informed speculation about what the remaster might entail, based on a short interview with Hansen that was released on Shadow’s socials, the known architecture of the MPC60 II, and the documented production history of the album.

Imaging the disks is the first problem. Flux-level imaging using hardware like the KryoFlux or Greaseweazle captures the raw magnetic transitions on the disk surface rather than attempting to decode data in real time. This matters because a thirty-year-old disk with weak sectors might return errors on a conventional read but yield recoverable data from a flux capture, where the raw signal can be processed multiple times with different error-correction strategies. Cambridge University Library's “Copy That Floppy” preservation project uses exactly this approach for obsolete formats. The flux images are the archive. Everything else is derived from them.

The second problem is rendering. The MPC60 is not just a reader. It is the instrument. Its 12-bit converters, its analogue output stage, and its particular approach to sample playback are all part of what the album sounds like. An emulator could play back the sequences and trigger the sounds, but it would do so through modern conversion at modern bit depths, which is not the same signal.

The restored original machine solves this. Load the set, press play, and what comes out of the stereo outputs is the same electrical signal that came out in 1996, through the same converters and the same analogue path. Record that at high resolution and you have a stem, or at least a layer, rendered at period-correct fidelity.

This is the part that bends the mind slightly. The album, as released, has no multitrack. The bounce-and-wipe process destroyed the separation between layers as Shadow worked. The MPC floppies hold the material that existed before each bounce, the save states from a process that consumed its intermediates. If you can identify which sets correspond to which layers of which tracks, you can render each one in isolation through the restored machine and produce separated parts that have never existed at any point in the album's history, not even during production. You are not recovering a multitrack. You are compiling one for the first time.

There are limits, and they are not small. Turntable work performed live-to-tape during production is on the ADAT, not in the MPC data. Desk moves and outboard processing may be unrecorded. Some bounced layers may have no surviving pre-bounce source, because the corresponding disks were overwritten or lost. The reconstruction is therefore a hybrid: recovered sequence data rendered through period-correct hardware, layered with material that can only come off the ADAT tapes (if they survive) or be re-performed. A faithful reconstruction of Endtroducing..... is therefore a huge and complicated undertaking.

On December 18th, Shadow will perform Endtroducing..... live at the Barbican with the BBC Symphony Orchestra, conducted by Jules Buckley, in a one-off orchestral reimagining recorded for BBC 6 Music. You cannot orchestrate a stereo mix. You need separable parts, melodic lines, harmonic structures, rhythmic patterns, each isolated enough for a composer to write around them. The MPC reclamation project may be the reason that concert is possible at all.

The fragility of the first digital generation

There is a comforting myth about digital media, which is that it lasts forever because copying is lossless. The myth confuses the copy with the thing being copied. A bitwise duplicate of an MPC60 floppy disk image is perfect, if you have one. But the image is useless without a format specification, the format is useless without a reader, and the reader is useless without the tacit knowledge of what the data means. A 1968 analogue master tape can be baked in an oven to temporarily re-bind the oxide, threaded onto a compatible machine, and played. The format is the medium's physics. A 1994 Akai floppy needs reverse-engineered filesystem knowledge, bespoke imaging hardware, and a working machine that has been out of production for thirty years.

The first generation of digital-native creative work, the records made on MPCs and SP-1200s and Atari STs, the art made on Amigas and early Macs, the writing saved to 800K floppies in proprietary word-processor formats, is the most endangered material in the cultural archive. Not because the bits have decayed, though some have, but because the stack of dependencies between the bits and the meaning is deep, undocumented, and each layer can fail independently.

Hansen soaked MPC parts in dish soap to make a piece of music history audible again. That is both a beautiful story and a cautionary tale. The album that proved you could build something permanent from other people's forgotten records was itself perilously close to becoming unrecoverable. Digital is not the opposite of fragile. It is fragile in different, more complex ways.

Another time when I took the bait and clicked it took me to a list of songs. The headline proclaimed they all had lyrical meanings that were often overlooked. While typing this I tried to find the actual page I opened, but had no luck. The song Knocking on Your Back Door was part of the list, butt you'll have to look that one up for yourself. I really don't have the energy or the desire to turn that one into a blog post.

The one that stood out to me the most was Your Love by The Outfield. I hadn't heard it for awhile even though I have heard it likely 100's of times in my life. All the times I did hear it, I never really gave much thought to what it was about. It had a pretty catchy chorus, and all the things I like about songs from that era. I suppose it got a lot of radio play on the radios that were sometimes playing at jobs I've had.

When I read the meaning I was like, What? Oh. No f'n way. So the next time I had my headphones on, I listened to it. Then I listened to it again. I wouldn't say that I became obsessed with the song. (close maybe?) I found myself adding it to the queue quite often for about a month or so.

It is a song about a guy who is trying to cheat on his girlfriend, but the girl he is cheating with won't go along with his plan. The band said the song is entirely fictional. I say that I think of most of the guys I knew back when this song was written, and if it is fiction, then it is highly believable fiction.

I picture warm summer nights, muscle cars, worn out t-shirts, cut off jean shorts, and cold beer from the bar fridge in the wood paneled rec room. A turntable spinning...

It will actually be more fun if you are actually listening to the song while reading this.

Josie's on a vacation far away

Come around and talk it over

So many things that I want to say

You know I like my girls a little bit older?

I do feel kind of bad for Josie. I have to wonder though. She's on vacation without him. I question how solid their relationship really is. Then again, he likes his girls a little bit older. Is that older than Josie, or older than him? Perhaps she is on vacation with her parents? If the guy is just old enough to have a driver's license in 1985 that would make him an 80's teenage boy. It would not be beyond the realm of possibility that he was dating a 13 year old. But she's away.

I just want to use your love tonight

I don't want to lose your love tonight

He has picked 'the other girl' up in his black Trans-am just after sunset. Red lipstick, and large blond 80's hair. They dated in the past, but she broke up with him because he's an idiot. Not a bad guy, just not very smart. Ruled mostly by his hormonal changes and desire.

I ain't got many friends left to talk to

Nowhere to run when I'm in trouble

You know I'd do anything for you

Stay the night but keep it under cover

He just wants a one night stand without commitment. His friends likely got tired of his obsessing about girls every second he was awake.

Try to stop my hands from shaking

But something in my mind's not making sense

It's been a while since we were all alone

But I can't hide the way I'm feeling

This is blue balls expressed in a song.

As you're leaving, please would you close the door?

And don't forget what I told you

Just 'cause you're right, that don't mean I'm wrong

Another shoulder to cry upon

Freundinnen & Freunde der Weisheit! Ein neues Hobby zu beginnen oder ein altes wieder aufleben zu lassen, ist eine einfache und wirkungsvolle Möglichkeit, die mentale Gesundheit zu stärken. In einem oft hektischen und anspruchsvollen Alltag bieten Hobbys eine willkommene Auszeit, um zur Ruhe zu kommen und neue Kraft zu schöpfen. Die positiven Effekte auf das psychische Wohlbefinden sind wissenschaftlich belegt und gehen weit über blosses Vergnügen hinaus.

Hobbys helfen dabei, Stress abzubauen und das allgemeine Wohlbefinden zu steigern. Sie senken den Cortisolspiegel, der für Stressreaktionen verantwortlich ist, und können so helfen, die Herzfrequenz und den Blutdruck zu regulieren. Gleichzeitig fördern sie die Neuroplastizität des Gehirns, indem sie neue synaptische Verbindungen schaffen und die geistige Flexibilität erhöhen. Dadurch fällt es leichter, negative Gedanken zu verarbeiten und den Fokus auf positive Erfahrungen zu richten. Auch das Selbstvertrauen wächst, wenn man Fortschritte bei einem Hobby macht und ein Gefühl der Erfüllung erlebt.

Lesen, Kunst und Musik sind besonders wirkungsvolle Hobbys zur Förderung der mentalen Gesundheit. Beim Lesen kann man dem Alltag entfliehen und in neue Welten eintauchen, was entspannend wirkt und dabei hilft, negative Gedanken zu unterbrechen. Künstlerische Tätigkeiten wie Malen, Zeichnen oder Musizieren bieten eine Möglichkeit, Emotionen auszudrücken und innere Spannungen abzubauen – dabei spielt es keine Rolle, ob die Ergebnisse perfekt sind. Journaling unterstützt die mentale Gesundheit ebenfalls auf vielseitige Weise. Durch regelmässiges Schreiben lassen sich Gedanken und Emotionen ordnen, wodurch ein tieferes Verständnis für die eigenen Gefühle entsteht. Bereits wenige Minuten tägliches Schreiben können helfen, Ängste zu lindern und das emotionale Gleichgewicht zu verbessern.

Sich bewusst Zeit für ein Hobby zu nehmen, ist ein wirksamer Weg, die mentale Gesundheit zu stärken und im Alltag mehr innere Ruhe und Ausgeglichenheit zu finden.

Denkanstoss zum Wochenbeginn

„Homo fit, non nascitur. (Man wird nicht als Mensch geboren, sondern man wird es erst.)“ – Erasmus von Rotterdam (1466/1467/1469–1536)

ProductivityPorn-Tipp der Woche: Kontrolle über Dein E-Mail-Postfach behalten

Lass Dich nicht von Deinem Posteingang steuern. Setze feste Zeiten für das Bearbeiten von E-Mails, verwende Filter und sortiere unwichtige Nachrichten direkt aus.

Aus dem Archiv: Über das Älterwerden, die Gelassenheit und den Luxus, weniger zu wollen

Ich wurde 50. Eine runde Zahl, die sich leise, aber deutlich bemerkbar macht – nicht nur im Pass, sondern auch in meinem inneren Koordinatensystem. Halbzeit vielleicht, wahrscheinlich auch schon mehr als das. Jedenfalls ein Anlass, innezuhalten. Und ehrlich gesagt: Ich war mir nicht sicher, was ich davon halten sollte. 50 – das klingt nach Verantwortung, nach gereiftem Urteil, vielleicht sogar nach leichter Verbitterung. Nach Jahren, in denen man die Welt ernst genommen hat. Manchmal zu ernst. Dabei entdecke ich gerade im #Alter eine neue Leichtigkeit.

weiterlesen …

Vielen Dank, dass Du Dir die Zeit genommen hast, diesen Newsletter zu lesen. Ich hoffe, die Inhalte konnten Dich inspirieren und Dir wertvolle Impulse für Dein (digitales) Leben geben. Bleib neugierig und hinterfrage, was Dir begegnet!

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EpicMind – Weisheiten für das digitale Leben „EpicMind“ (kurz für „Epicurean Mindset“) ist mein Blog und Newsletter, der sich den Themen Lernen, Produktivität, Selbstmanagement und Technologie widmet – alles gewürzt mit einer Prise Philosophie.

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Disclaimer Teile dieses Texts wurden mit Deepl Write (Korrektorat und Lektorat) überarbeitet. Für die Recherche in den erwähnten Werken/Quellen und in meinen Notizen wurde NotebookLM von Google verwendet. Das Artikel-Bild wurde mit ChatGPT erstellt und anschliessend nachbearbeitet.

Topic #Newsletter

Berg & Mozes, een tussendoortje

Moz|ses – Groetsop Berg

Berg – Groetsop Mos|zes, fijn je weer te zien.

Moz|ses – Ga je naar de opening van heerlijke cultuur vismarkt?

Berg – Nee, Mos|zes, ik moet mijn voorgeschreven portie Moisterijzers halen bij de Bergarts, de droogte eist anders meer tol dan de gemeente bij jullie en andere toeristen per belast jaar kan heffen.

Moz|ses – O de bekende erosie klachten spelen weer op?!

Berg – Dat en meer, kloven, bergwand verschraling, het leven wordt op deze manier wat dof en kleurloos en dankzij deze oppoets en smeer middelen gaat het verval wat minder snel.

Moz|ses – De bergwetenschap maakt enorme sprongen, joah, heb je de uitnodiging voor de opening van de cultuur vis markt wel ontvangen?

Berg – Zeker, zag er goed uit, glossy, netjes en handzaam.

Moz|ses – Dank je, dankzij mijn bijdrage tot stand gekomen, onder andere. Ik zou hem zelf bezorgen maar er kwam een lijst met door andere eerdere bezigheden veroorzaakte zaken tussen, leveringen, vergaderingen, optredens met het alpenhoorn familie kwartet, problemen met de belastingdienst, milieudienst, relaties, huwelijkse en nog een tiental belangrijkere dingen anders had ik die glanzende, zeer nette, foutloos geschreven, voorzien van helder overzichtelijk blokkenschema evenementen flyer persoonlijk aan je overhandigd. Maar ja, het is zoals het is.

Berg – Mos|zes, absoluut, zo is het. Ik moet nu gaan, ze verwachten me weer op mijn plek als het blokkenschema begint te draaien, puur esthetisch belang, maar ook daarvoor ben ik inzetbaar.

Moz|ses – Prima, prima, kom nog eens langs, mijn derde vrouw bakt heerlijke appelbeignetten en de zesde vierde geeft voortreffelijke berg kam massages heeft ze mij verteld tijdens een huwelijks speeddate avond.

Berg – Ik heb altijd zin in appelbeignetten Mo, en het is jaren geleden dat iemand mijn berg kam nog heeft gemasseerd, dat klinkt goed. Mocht het weer niets worden met deze vierde kun je mij haar visitekaartje dan geven.

Moz|ses – Ik zal hem bij je brengen!

Berg – O, ach, geef hem maar als ik weer voor kloof controle naar de flanken specialist moet, dat is dan dat, hoef jij niet weer helemaal omhoog.

Moz|ses – Is goed, was anders geen probleem hoor.. ik ben al bijna genezen van mijn bestijg vrees dankzij een drietal medische ingrepen, stukken vlotter ook dan echte tijdrovende, geduldige, duurzame genezing.

Berg – Weet ik Mo, nou tot dan. Veel plezier bij het door je blaasbalg bedrijvigheid gesponsorde festival.

Moz|ses – Dank, ik ga echter alleen naar de opening en de sluiting, de opening voor mijn speech, en de sluiting om het dankwoord te ontvangen, de gratificatie. Ik moet zelf vandaag nog het een en ander doen aan blaasbalg marketing strategie en later naar een training voor belastingontduiking door gevorderden, maar ook dat is heel leuk, hoor. Sterkte met je droge korst en kloverij, beterschap, Sopzij.

Berg – Dank je, tot later maar weer, Sopzijmetje.

Right where we left off …

El Ruso (Studio City):

They have margaritas at El Ruso now.

Also, ribeye tacos.

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Bhookhe (Artesia):

Maharani Thali (Rajasthan)

From the Menu: Dal + Bati + Churmo + Gatte Ki Curry + Dry Curry + Lehsun Chutney + Mirchi Ke Tipore + Raita + Buttermilk + Rice + Lapsi + Sweets + Butter.

“I like the algorithm”
-– The average consumer

This is a common phrase in the year 2026.

The attention economy has become incredibly efficient; digital real estate sold out to the extent that we, as a society, can only remember our attention with nostalgia.

It's efficient to the point where it's as if we're responsible for discovering new content just to keep the machine going.  Whether we want it or not.

Media Mercantilism

We, as consumers, have become inventory. The product. And our engagement? The most important metric.

Time on platform is what media companies optimize for — the number that decides what gets made, what gets promoted, and what gets buried.

Adam Smith saw it coming.

“Consumption is the sole end and purpose of all production; and the interest of the producer ought to be attended to, only so far as it may be necessary for promoting that of the consumer. The maxim is so perfectly self-evident, that it would be absurd to attempt to prove it.” -– The Wealth of Nations, Book IV, Ch. 8

To rephrase Smith's follow-up point:

In the media mercantile system, the interest of the consumer is almost constantly sacrificed to that of the producer; and it seems to consider engagement, and not consumption, as the ultimate end and object of all media.

Smith's merchants mistook the store of gold for wealth. The attention economy mistakes time on platform for value.

The attention economy is media mercantilism.

The Wealth of Podcasts

In reality, the wealth of podcasts comes from consumer enrichment.

A listener's realized benefit is subjective to them, but it certainly is not engagement. We've learned to distrust the social media feed — so why do we give podcast apps a pass? Attention is attention.

The only true value comes when we, as consumers, get something from what we consume. Value is realized in the consumer, not conferred by the producer — and realization needs reflection, which infinite engagement is designed to prevent. In an endless loop, no time remains to reflect. It isn't just all-consuming. It is deeply antithetical to value.

So we do not produce value for the producer. We are not brains to be mined, nor eyes to be used.

That doesn't mean a producer deserves nothing in return. They do. But the production chain of the attention economy is cannibalistic: producers are consumers too — how could they not be? — and the same machine that mines us mines them. It eats the very people it depends on.

Which is why the “support” the attention economy sends a producer is counterfeit. Attention feels like support. It inflates the number. But it is nothing like choosing to give something back for what we were given. Real support is direct.

In the same way Smith refused to let a producer's interest in protection override the consumer's benefit, we ought to refuse to let a producer's interest in attention override ours.

Where does that refusal begin?

Producer

How we name the people who make our media — and how we're invited to relate to them — starts to matter. Now, more than ever.

They are not “creators.“  “Creator” elevates the supply side to a personality; a brand; a mythical figure owed some amount of loyalty.  It's at the center of a parasocial relationship.  Something to engage with.

Words matter, and we ought to speak with intention.  Podcasts are produced.  Those that produce are producers.  No need to sensationalize further.

I'm not merely arguing semantics (it wouldn't be the first time).  The only way out of the attention economy is to re-evaluate our digital interactions in the first place.  I'm re-evaluating my relationship with producers.  Not because I don't value their work, rather because my reflection upon their work matters more than my attention toward them.

My reflections brought me where I am today.  It turns out, I have a lot of value to bring to the world.  I have many people to thank for that, all of us, voices in the same global village.

That is the Wealth of Podcasts.

Intent

I've suffered as much as anyone from the attention economy.  Working from home well before it was the norm, alone and isolated.  Media has been there for me from the start — infinite in supply.  I have been a product for many.

I've had many parasocial relationships.  Some offered predatory, one-way companionship, so long as I engaged.  Others provided genuine value to me.  They know who they are, and I continue to return value to them within my means.

We've always sought ways of resisting and opting out.  From various privacy tools to all manner of self-control.  They have their place.  Some too extreme, some not enough.  But these tools are reactive, seeking to solve the symptom.  Not the problem.

Now, I choose to approach my media consumption with intent. Could I go without it? Sure. But, to pretend that these products are valueless is not productive.

I'm not only a consumer. I'm a producer, too — and the machine never cared which side I was on. It mined me either way.

Consuming with intent is only half of it.

Medio

Software should be built on the same inversion Adam Smith made for economics — “Consumption is the sole end and purpose of all production” — and almost none of it is, because the dominant business model requires treating attention as the product, and the consumer as the good being sold.

I've made a choice to reclaim my attention — that goes for the software I choose to produce.  Starting with my own podcast app.

Medio doesn't reject the algorithm.  It simply doesn't acknowledge it.

#podcasting20 #medio #commentary #philosophy

I had some opportunities this past year to visit and learn from a school here in NYC that is truly unique in the city (and, from what I understand, the country) where deaf and hard of hearing children, hearing children of Deaf adults, and general education children learn side-by-side, all reading, writing, discussing, and signing around the same texts.

I learned a lot from those visits, and have continued trying to learn more about American Sign Language (ASL). Like so many others who have had little exposure to people who are deaf or hard of hearing, I had a lot of ignorance and misconceptions about sign language.

For starters, one of the first things that blew my mind about American Sign Language is that it is not some kind of subtitling or pantomiming of English rendered into the hands. This misconception was something I brought into my first visit: as I watched teachers and students signing and speaking at the same time, I assumed what they were signing was a direct mirror of what they were saying in English.

But what I soon learned was that what I was witnessing was not simply English translated to hands, but rather bimodal bilingualism: two distinct languages in two distinct modalities occurring simultaneously, one vocal, one gestural. One body and mind, running two linguistic systems all at once, in real time. If that's not the definition of translanguaging, I don't know what is.

Because the reality is that ASL is an independent visual-spatial language with its own phonology, morphology, and syntax. In fact, it's barely even related to English.

I have spent years thinking about the auditory environment and its impact on learning (proof here), and embarrassingly little time considering what language looks like when the auditory channel is not available. It has been eye opening, both literally and figuratively, and the more I've read and learned since (I'd suggest beginning with Karen Emmorey's “Ten things you should know about sign languages”), the more I've come to think that sign languages aren't just some niche thing off to the side of general language and literacy.

Instead, I think sign language presents us with a fascinating lens that can magnify so many critical aspects of language and literacy and cognitive inquiry, most especially as a window into grappling with all the complexities related to multilingualism, not to mention an accompanying window into all the complexities related to classifications and accommodations of disability. That's more than I can dig into in one post, so I may write a few more on the topic, as time and fancy may allow.

A parenthesis I didn't fully grok

Go back through what I've written on this blog and you'll find a small parenthetical added at times as a nod towards inclusion: “*spoken (or signed) language*“. I've been dropping it into sentences for a while now (see the inner scaffold posts) due to the presence of teachers from that very same sign language school who joined some of my professional learning sessions (long before I ever had the opportunity to visit their school). They would ask about how to think of sign language in relation to what I was describing with connections between spoken and written language, and they gave me pause to consider it, and to want to raise it as a critical consideration, but I still didn't understand much about it.

I still don't understand much about it. But I am fascinated and want to better understand it.

The current cuts a new channel

When deaf children grow up without much access to any conventional language model (no sign language or accessible speech), they will begin to build their own language. Researchers call these self-generated systems homesign and it points to the intrinsic human drive to communicate (Susan Goldin-Meadow's overview, The Mind Hidden in Our Hands, is a good introduction).

Consider a dammed river. The water will forge a new channel.

I've argued in the past that language, like reading, may not be innate, but closer to a cultural technology shaped across generations that has developed as a perfect fit to the infrastructure of our brains. It may appear that homesign settles the innate-versus-developed question against me.

It hasn't, because it can be said that homesign plateaus after forging that new channel. A homesigner may be able to build a system enough to run a household, but they will then most likely hit a ceiling, because their system of communication only exists isolated within that one household.

In Nicaragua around 1980, deaf children who had each been homesigning in isolation were brought together in schools for the first time. That first cohort then built a community of shared contact, and each new member who joined them began to systematize that communication further. Senghas and Coppola tracked one grammatical device across two cohorts and found that this systematizing came mostly from signers who arrived youngest (<10) and that within two decades they had developed a grammar no adult had ever used.

It took that community, and sequential cohorts of innovation and interacting to form a cultural evolution running within a time frame we could observe. So what is innate, and what is cultural? The drive to communicate lies within each child, and it will find a channel. But a linguistic system develops within a larger community over time, and requires a critical mass.

So consider again that school I described at the beginning, where some children may arrive from homes where their system of communication is homesign and known to no one else. For them school is not only about receiving instruction and gaining literacy and knowledge that connects them to previous generations of human culture. It's also about connecting them to an immediate social community of others they can interact and communicate with more systematically and deeply.

Where ASL comes from

ASL signs are built from combinable units (handshape, location, movement, palm orientation) in the same way spoken words are built from phonemes. And what's even more interesting is what happens at the same time with a signer's face: raised eyebrows mark a yes or no question, particular mouth shapes function as adverbs. Those expressions aren't emotive gestures per se, they're actually more grammatical in function.

There's a lot that's fascinating about ASL itself that I might try to dig into in another post, especially in terms of how a deaf child can learn to read without hearing the phonemes.

But first, here's a surprising thing I also learned about deafness that blew my mind: more than 90% of deaf children are born to hearing parents (Harden's The Genetic Lottery has a chapter that led me to this). Roughly half of congenital deafness is genetic, and most of that is recessive. The rest has non-genetic causes and isn't inherited at all.

That the majority of deaf children are born to hearing parents makes signing truly unique among the world's languages. What that means is that most of ASL's users may not learn ASL from their parents or family. Instead, they learn ASL within a community of other deaf adults and children.

While one would assume that schools are the natural site for this, the darker truth is that while residential schools did first gather deaf children into the critical mass a language requires, they (for a century after the Milan congress of 1880) banned signing, dismissed Deaf teachers, and punished children for using their hands.

The international body that passed those resolutions apparently didn't repudiate them until 2010.

Sign languages have survived and evolved anyway, in dormitories and playgrounds and Deaf communities, carried from person to person, perhaps often in defiance of the institutions housing them. What such schools supplied may not have been the teaching so much as it was the gathering.

Here is where an interesting tension between civil rights for a disability and civil rights for multilingualism potentially surfaces. I may be over-extrapolating on this, but it seems to me that fewer and fewer deaf children may have an opportunity to gather together in schools today. Under IDEA, the mandate to educate children in a least restrictive environment tends to lead to the mainstreaming of deaf children, and they may thus become distributed across neighborhood schools. By the logic of individual accommodation that's a success.

But sustaining a sign language within an English dominant and speech dominant world requires a community. A placement may be the least restrictive environment available according to the spirit of the term, and simultaneously the most restrictive imaginable socially and linguistically. Now consider this also for deaf students who are also English language learners (somewhere between one in five and one in three of them, though it seems nobody has actually counted since 2014).

Which is why the school I visited struck me the more I learned about it. It isn't just remarkable because it recognizes the beauty of ASL or provides instruction in ASL. It's also remarkable because it serves as a space of Deaf community gathering: Deaf adults, deaf children, hearing classmates, and hearing children of Deaf adults, assembled into a critical mass where bimodal bilingualism is recognized and affirmed.

On one of my visits I passed a student in a hallway signing avidly and fluently with her classmate. The child, I was told, has parents who are hearing and had arrived at school with no signing ability. Her home did not equip her with that new language — the school did. And it did it alongside of a community of adults and children also using sign.

Looking across the channel

Sign languages bring so many interesting questions that should excite any language and literacy nerd out there. If I get my act together, I'd love to explore more about ASL, such as how deaf students can learn to read without sound, and maybe pick some more at the knot of deaf students who are also multilingual learners.

In the meantime, to help bring more interest and information to educators around ASL, I've put together a short guide on American Sign Language covering some of what seemed to be the most important things to know that you might not have known.

Please share if you find it useful, and even more importantly — especially if you are Deaf or hard of hearing, or you teach DHH students, or you interpret — please let me know where I may be missing something or have gotten something wrong.

Twelve million tracks. Played end to end, with no gaps, no sleep and no skipping the songs you do not like, it would take ninety-one years to listen to that dataset in full. A person born the year the recordings began would be dead long before reaching the last track. And yet the entire collection can be downloaded in an afternoon, copied onto a laptop, and fed into a machine designed to learn from it and then make more music in its image. The recordings inside it represent the accumulated labour of tens of thousands of musicians, living and dead, famous and obscure. Not one of them was asked. Not one of them was paid.

This is the picture that came into focus in mid-June 2026, when The Atlantic's AI Watchdog journalist Alex Reisner published an investigation that did what the industry had demanded for years: it provided proof. Reisner identified four music datasets actively circulating within AI development communities, downloaded thousands of times, and built a searchable tool that let any artist type in their own name and discover whether their work had been swept into the training corpus of the machines now flooding the platforms where they earn their living. The largest holds roughly twelve million tracks; a second around nine million; two more each exceed a hundred thousand — more than twenty-one million recordings in all. The names inside read like a history of recorded music: Taylor Swift, The Beatles, AC/DC, Kylie Minogue, Miles Davis, Bad Bunny, and tens of thousands of working musicians whose names you have never heard.

The reaction was immediate, and it was personal. The rapper Backxwash, finding her work in the database, wrote simply: “I dont like this.” The Toronto producer Tre Mission was blunter: “I'm 100% sure I never consented to this. Anyone who knows me, knows I HATE the use of AI in music, so this is very disappointing.” The producer DJ Sabrina the Teenage DJ landed on the bitter irony at the heart of the whole affair: “to everyone who thought my music sounded like ai slop, did you ever think it was because Suno was using a dataset that contained 22 of my songs?”

That sentence deserves to be read twice. An artist's work is ingested without consent. A machine learns from it and generates derivative output that floods the market. And the human whose labour made the machine possible is accused of sounding like the machine. The appropriation is not only economic. It is a theft of authorship turned back against the author.

This is the story of how creative ownership came to be quietly redefined out from under the people who depend on it, why the technology industry's preferred legal solution would make matters worse, and what a genuine licensing framework — one built on consent rather than its absence — would have to look like.

Two Harms, Not One

To think clearly, you have to separate two injuries often blurred together because they share the same villain. They do not have the same solution.

The first is the output-side harm: the flood of synthetic music now competing with human work on streaming platforms. Deezer reported in April 2026 that AI-generated tracks accounted for forty-four per cent of all new music uploaded to its platform, close to seventy-five thousand fully synthetic tracks every single day. That is nearly half of everything arriving, and the figure had climbed steeply. Deezer began detecting AI music at around ten thousand tracks a day in January 2025; by January 2026 it was sixty thousand. The trajectory points one way.

A peer-reviewed paper published to arXiv on 16 June 2026 — “An Empirical Analysis of AI Slop in Music Streaming,” by Stanley Wu, Josephine Passananti, Viresh Mittal, Wenxin Ding, Haitao Zheng and Ben Y. Zhao — put hard numbers to what this deluge consists of. Analysing 256 million Spotify tracks, around ninety-nine per cent of the platform's catalogue as of mid-2025, they found that the overwhelming majority of AI music — ninety-three per cent of it — receives few if any listener plays and is rarely recommended. AI musicians, they observed, “spray and pray”, releasing enormous volumes across genres in the hope that something catches. AI-only artists uploaded at double the volume of human musicians, averaging twenty-seven tracks against thirteen, and at roughly five times the frequency — five releases a month against one, with an average gap between releases of sixteen days against more than fifty. Publishing their own AI tracks through eleven independent distributors, they found distributor policies inconsistent and largely unenforced, and detection unreliable. Their conclusion was that, as the cost of generation falls toward nothing, AI slop is on course to become a self-sustaining industry — a shadow economy of machine-made noise driven by the same incentives that drive email spam.

Spotify removed seventy-five million tracks it classed as spam in a single twelve-month action disclosed in 2025. The output-side harm is real, measurable and accelerating, and it is visible: you can see the slop, count it, and watch it crowd the shelves.

The second harm is quieter, and in the long run more fundamental. It is the input-side harm: the unlicensed ingestion of human creative work to build the machines in the first place. This is what Reisner's investigation exposed. The output flood is the symptom; the training data is the cause. You cannot have a machine that generates plausible Kylie Minogue without first feeding it Kylie Minogue — or, more precisely, tens of thousands of recordings whose collective stylistic DNA the model distils into something it can recombine on demand. Every synthetic track competing with a working musician is built out of that musician's labour and the labour of their peers, taken without asking.

The two harms compound each other in a cruel loop. The input harm produces the machine; the machine produces the output harm; the output harm dilutes the income of the artists whose work constituted the input. The musician is taxed twice — once when their work is taken to build the competitor, again when the competitor thins out their royalties. DJ Sabrina the Teenage DJ's complaint captures the closing of that loop exactly. The slop she was accused of resembling was partly made of her.

What “Ownership” Was Supposed to Mean

To understand what is being lost, it helps to be precise about what creative ownership has meant in music, because it is more intricate than the word “copyright” suggests.

A single recorded song is not one piece of property but a bundle of rights, layered and separately owned. There is the composition — the melody and lyrics — and there is the sound recording, the specific captured performance, each carrying its own copyright and often held by different parties. From these flow distinct streams of payment: the mechanical right, the performance right, and the rights in the master recording. When you hear a song on the radio, this hidden machinery routes fractions of a penny to the songwriter, the publisher, the performer and the label, each according to a right they own.

The edifice rests on a principle that has held, in one form or another, for more than a century: that the creator controls whether and how their work is used, and is entitled to be paid when it is. That principle is now under quiet assault, because the defining feature of the training-data regime is that the creator controlled nothing and was paid nothing. The bundle of rights was simply bypassed. The work was treated not as property to be licensed but as raw material lying around to be scraped.

Sampling, the closest historical analogue, built an entire clearance industry precisely because the law insisted that creators retained control. In the golden age of hip-hop sampling in the late 1980s, producers freely looped fragments of older records in a grey zone. Then the courts closed it. The 1991 decision in Grand Upright Music v. Warner Bros., concerning Biz Markie's use of a Gilbert O'Sullivan song, established that you could not simply take; the 2005 ruling in Bridgeport Music v. Dimension Films held that even a two-second sample required a licence. The industry's response was not to abandon sampling but to build the infrastructure to clear it: clearance specialists, negotiated fees, credit and royalty splits. The principle of control was upheld, and a market grew up around honouring it.

The training-data regime inverts that history. It is sampling at planetary scale with the clearance step deleted. Where a lawyer once negotiated for a four-bar loop, the AI developer ingests twelve million whole recordings and asks no one. The difference in scale is so vast it becomes a difference in kind. And the industry's argument for why this is acceptable is not that it has found a way to clear twenty-one million tracks. It is that it should not have to.

The Carve-Out

That argument has a name, and a lobbying strategy behind it. The name is the text-and-data-mining exception — TDM for short — and the strategy is to persuade governments to write it into copyright law before the courts or the public can object.

The premise is seductively technical. Training an AI model, the argument runs, is not “copying” in the ordinary infringing sense; it is “mining” — extracting statistical patterns, analysing rather than reproducing. Ingesting a song to learn from it is, on this view, more like a scholar reading a library than a bootlegger pressing counterfeit discs. The European Union opened the door in its 2019 Copyright Directive, whose Article 4 permits mining by default unless the rights holder has expressly opted out through machine-readable means. The burden sits on the creator. Silence is consent. You must actively forbid the taking, in a format the machines can read, or the taking is permitted.

In December 2024 the United Kingdom government proposed importing exactly this model: a broad TDM exception with an opt-out for rights holders. The creative industries revolted. More than a thousand musicians released a silent protest album, “Is This What We Want?”, its tracks recordings of empty studios; McCartney, Elton John, Dua Lipa and Kate Bush lent their names to the opposition. When the consultation closed, the government had received 11,520 submissions, and the verdict was emphatic. Eighty-one per cent named mandatory licensing as their preferred approach; a mere three per cent backed the government's own stated preference. More than ninety per cent agreed that AI developers should be required to disclose the sources of their training material — a figure worth holding on to, because it identifies the remedy the sector actually wants. The exception was shelved, and by January 2026 the Secretaries of State Liz Kendall and Lisa Nandy were telling the House of Lords that the government had been “wrong” to express its original preference at all. Australia had already gone further, ruling out a TDM exception outright and telling AI firms they would have to negotiate licences like everyone else.

Which brings us to the most pointed institutional response to Reisner's investigation. APRA AMCOS, which manages the rights of more than a hundred thousand Australian and New Zealand songwriters and composers, seized on the findings as proof of a charge it had been making for months. AI companies, its chief executive Dean Ormston pointed out, were at that very moment lobbying the Australian and New Zealand governments for a copyright carve-out — dangling promises of data-centre investment and “productivity gains” — while simultaneously, demonstrably, using work they had already taken without licence. “No permission. No licence. No payment,” the organisation stated. “These are not bargaining chips — they are the life's work of Australian and New Zealand songwriters.” Ormston added that the major tech platforms had “not come to the table — not once.”

That last point is the tell. The carve-out strategy is not an attempt to negotiate a fair price. It is an attempt to remove the obligation to negotiate at all — to retroactively legalise a taking that has already occurred, and to license all future takings by default. The datasets Reisner identified are downloaded, copied and in use. The carve-out would not authorise a hypothetical future practice. It would launder a present one.

The geopolitical shape of the campaign reveals the strategy more clearly than any single statement. The lobbying happens at the tables where governments weigh data-centre investment, jobs and the prestige of hosting frontier technology against a sector that is, in raw economic terms, smaller and less able to promise headline capital expenditure. The pitch is unmistakable: relax the copyright rules, and the investment follows. That turns a question of property rights into one of industrial policy, on ground where creators are structurally disadvantaged. A songwriters' collective cannot promise a billion-pound server farm in a marginal electorate. A technology company can. The carve-out is sought not because it is just but because it can be traded for things governments want, and those whose work would be expropriated are not party to the deal.

That the strategy is not invincible was demonstrated on 15 July 2026, when the Australian Prime Minister, Anthony Albanese, speaking at the University of Sydney, made the plainest statement any head of government has yet made. Unlicensed training on creative work, he said, is theft: “No company should use Australian books, music, art or news to build or train AI without the artist's control.” He announced a new Office of AI within the Department of the Prime Minister and Cabinet, put the framework to a National Cabinet meeting in August 2026, and committed to legislation to be introduced to Parliament in early 2027 — the first such framework any government has moved to legislate.

One detail deserves particular attention. Albanese rejected outright a proposal from Anthropic for a “shared creative fund” as an alternative to individual licensing: a pooled payment offered in place of consent. The refusal rests on precisely the ground this argument turns on. A fund is a price paid to a category. A licence is permission sought from a person. The first can be generous and still leave the creator with no say in whether their work is used at all — which is the thing that was taken.

What Is Wrong With “Fair Use”

The scholar-in-a-library analogy did not survive July 2026. On the fifteenth of that month, 404 Media published the contents of Suno's source code, obtained by a hacker who had used a supply-chain attack in November 2025 to acquire an employee's credentials. What the code documents is not analysis. It is industrial-scale harvesting, itemised by the hour: 113,879 hours logged as “youtubemusic” and a further 152,162 as “ytmtagged”; 62,117 hours from the stock library Pond5; 19,514 from the International Music Score Library Project; 17,615 from Genius; 12,287 from Deezer. More damning still, the code shows scraping requests routed through commercial proxy services using rotating IP addresses, for the express purpose of defeating YouTube's anti-bot protections. Suno confirmed a security incident, describing it as involving outdated source code and saying it had been contained quickly.

A scholar in a library does not rotate IP addresses to defeat the lock on the door. That detail collapses the distinction the mining argument depends on, converting a passive claim — that developers merely observed what was publicly available — into an active one. It also carries a legal consequence the fair-use debate has largely overlooked. Under Section 1201 of the United States Digital Millennium Copyright Act, circumventing a technological measure controlling access to a copyrighted work is independently actionable. It requires no proof of underlying infringement, and there is no fair-use defence to it. The mining question and the circumvention question are separate, and only one has ever been arguable.

The disclosure also gives the input-side harm something it lacked: a named commercial generator, rather than a dataset of uncertain provenance circulating among developers. And it lands hardest on the artists least equipped to respond. Deezer and YouTube are exactly where the independent catalogue lives — where the producer with a few dozen releases and no label puts their work so that people can hear it. DJ Sabrina the Teenage DJ's complaint about Suno was made before any of this was known. The code suggests the mechanism.

Beneath the specifics lies a deeper conceptual problem. The TDM and fair-use arguments treat the analytical character of machine learning as if it settled the moral question: because a model “learns patterns” rather than storing literal copies, no meaningful harm is supposedly done. But this conflates the mechanism with the consequence. It does not matter, to the musician whose income is being eroded, whether the machine memorised their song or abstracted its style into a vector of weights. What matters is that it could not exist without their work, and now competes with them. The “transformative” defence was designed for a world in which a transformation produced something that did not substitute for the original. A parody does not compete with the song it mocks. A generative model trained on a catalogue produces output that competes directly with that catalogue, on the same platforms, for the same finite pool of listener attention and royalty money. The substitution is not incidental. It is the entire commercial point.

European courts have begun to answer the question the TDM argument treats as settled. In November 2025 the 42nd Civil Chamber of the Munich Regional Court ruled against OpenAI, finding that storing copyrighted content in a model's parameters during training constituted reproduction, and that the TDM exception did not cover commercial uses producing outputs closely similar to protected works. The same chamber, before Judge Elke Schwager, is due to deliver its verdict against Suno on 31 July 2026, postponed from 12 June for administrative reasons. The claim was filed on 21 January 2025 by GEMA, the German collecting society, which represents more than 95,000 songwriters, composers and publishers and holds a mandate reaching more than two million rights holders worldwide; it is the first European case to test AI training on audio. At a hearing on 9 March 2026 the judge had the original recordings and Suno's outputs played aloud in court, across six works including Alphaville's “Forever Young” and “Big in Japan”, Kristina Bach's “Atemlos”, Lou Bega's “Mambo No. 5” and Boney M's “Rasputin” and “Daddy Cool”. Under German law a first-instance ruling is immediately enforceable while appeals proceed, so GEMA could move for an injunction against Suno's European operations. Whatever the outcome, the proposition that training is analysis and analysis is exempt has already been tested in a European court and found wanting.

There is also a question of consent no technical reframing can dissolve. Opt-out is not consent; it is the absence of refusal, a very different thing. A regime that takes by default and asks the dispossessed to object after the fact, in a machine-readable format most have never heard of, is not a licensing system. It is designed to maximise the volume of work taken before anyone notices.

The Working Musician's Position

It is tempting, when the numbers run to twenty-one million tracks and ninety-one years of audio, to lose sight of the individual at the bottom of the pile. But the individual is the point: the harm falls hardest on those least able to absorb it.

Consider a mid-tier independent musician — not a superstar with a legal department, but a working professional with a few dozen releases, a modest but real audience, and an income assembled from thin streams: a little touring, a little sync licensing, a few hundred pounds of streaming royalties each quarter. This is the artist who distributed their music through an aggregator years ago, ticking a box they barely read, assuming the platform would help people find their work. They did not imagine that “distribution” might one day mean their entire recorded output copied into a research dataset and used to train a system that generates an infinite supply of music in roughly their idiom.

The consent question bites hardest here, because what this artist agreed to and what was done are not the same thing. They granted a distributor the right to place their music on streaming services so that human beings could choose to listen to it. It is a very long way from that to the proposition that the recordings could be aggregated into a corpus, divorced from any listening event, and used as feedstock to manufacture a machine designed to generate competing product at industrial scale. No reasonable reading of “help people find my music” extends to “build the thing that will replace me.” The Free Music Archive, one of the smaller datasets Reisner found, was assembled as a public resource for free and legal downloads; the LAION collection anchoring the twelve-million-track set was, its maintainers insisted, “released for research purposes.” Each was made for one purpose and repurposed for another.

Every link in the chain compounds the injury. The work was taken without consent — the input harm. The machine it helped build floods the platform with synthetic competitors — the output harm. The slop dilutes the shared royalty pool from which they draw. And when their genuinely human work resembles the machine output, they may be dismissed as slop themselves, their authorship questioned by the technology built on their labour. The producer who told MusicTech that “until the major labels go through their lawsuits, there's no way for artists or labels to fight back” was describing a structural powerlessness. A lawsuit is a rich entity's tool. The Reisner database gave this artist evidence — but evidence of a wrong is not a means of redress.

That erosion can now be sized. APRA AMCOS's AI and Music Report, the largest study of its kind, drew responses from 4,274 songwriter, composer and publisher members across Australia and New Zealand. Its central finding is that, without a mandatory licensing framework, creators face a twenty-three per cent hit to their revenues — a cumulative loss estimated at more than AUD$519 million over four years, half a billion dollars taken out of the incomes of people who, in the main, are not wealthy. Eighty-two per cent said they feared no longer being able to make a living from their work; ninety-seven per cent wanted policymakers to pay more attention to AI and copyright. Those are not the numbers of a sector resisting change out of nostalgia. They are the numbers of a workforce watching its economic base removed while being told the removal is progress.

There is also a category of injury the language of income and royalties cannot reach, and APRA AMCOS foregrounded it in its response. The datasets did not discriminate. Alongside the pop and rock catalogues they swept up sacred and culturally significant recordings by Aboriginal, Torres Strait Islander and Māori artists — Yothu Yindi, Gurrumul, Warumpi Band, William Barton, Christine Anu, Dan Sultan, Emma Donovan, Barkaa and AB Original among them, and on the New Zealand side Stan Walker, Six60, Maisey Rika, Marlon Williams and Horomona Horo.

For a great deal of this material, the harm is not principally economic. Many such recordings carry cultural protocols governing who may perform them, who may hear them, in what context and at what time; some belong to a community rather than an individual, and some may not be reproduced at all outside particular circumstances. Indigenous Cultural and Intellectual Property is a body of rights and obligations that Western copyright was never designed to hold, and it does not convert into money. A royalty cheque does not answer the copying of a work that should not have been copied at any price, still less a machine producing imitations of it on demand for anyone who types a prompt. This is the clearest demonstration that consent, not compensation, is the load-bearing principle. A framework built purely on payment — the pooled fund, the levy, the blanket rate with no way to say no — would process these recordings as line items and fail completely. Some uses are not underpriced. They are refused.

This is the practical meaning of creative ownership in 2026: for the artist at the top, a portfolio defended by lawyers and eventually licensed on favourable terms; for the artist in the middle, a notional right they cannot afford to enforce, attached to work already taken. The concept has not been abolished. It has been hollowed out — left standing as a word while the substance drains away.

What a Genuine Framework Would Require

So what is the alternative? Not the absence of any framework — that is the status quo, and the status quo is the problem. The alternative is a framework built on the principle the carve-out is designed to erase: that the creator controls the use of their work and is paid for it. It would have to do four things, and do them together, because any one without the others fails.

First, consent — and consent means opt-in, not opt-out. The default must flip. A model trainer should have to obtain permission before ingesting a body of work, not after, and the absence of an objection must never be treated as agreement. This is the most contested point, because it is the most expensive for the technology industry and the most protective of creators. Opt-in is harder. It is also the only version of consent that deserves the name. The sampling-clearance precedent shows it is workable: the industry did not collapse when courts required samples to be cleared; it built the infrastructure to clear them. The objection that opt-in is impossible at the scale of millions of tracks is precisely the objection collective management was invented to answer.

Second, transparency and provenance. A genuine framework would require trainers to disclose what they trained on — to maintain and publish auditable records of the works in their datasets. This is the reform that commanded more than ninety per cent support in the British consultation, and its absence is what made Reisner's investigation necessary: the datasets circulate privately, and artists discover their inclusion only when a journalist builds a search tool, or a hacker leaks the source code. Mandatory provenance would invert that, letting any creator know as a matter of routine whether their work had been used, by whom, and under what licence. It is the precondition for everything else: you cannot pay for what you cannot trace, nor enforce a right you cannot prove has been violated. Credit belongs here too — the humans whose work shaped a model's capabilities should be acknowledged, not erased into a statistical soup.

Third, compensation — and the mechanism matters as much as the principle. The music industry already possesses the most relevant tooling of any creative sector, having spent a century paying large numbers of rights holders small amounts at enormous scale. The performing-rights and collective-management organisations — APRA AMCOS, PRS, GEMA, ASCAP and their counterparts — exist precisely to do what the carve-out lobby calls impossible: to license use collectively, collect the money, and distribute it to the right people. A blanket AI-training licence administered by these bodies, with funds flowing into a royalty pool distributed by usage and representation, is not a fantasy but the obvious extension of an existing model. The compulsory mechanical licence is another precedent: a statutory rate that lets anyone reproduce a published composition provided they pay the set fee. A statutory training licence, set fairly and administered collectively, would marry the certainty the technology industry says it wants with the payment the creator is owed. A statutory licence still compensates; the carve-out does not. One is a price, the other an exemption. And, as the Indigenous material makes plain, even a well-designed compensation mechanism must sit downstream of consent rather than in place of it.

Fourth, enforcement. A right that cannot be enforced is the right the independent musician already has, which is to say no right at all. A framework that left enforcement to private lawsuits would protect only the wealthy; one empowering collective-management organisations to police compliance, audit datasets and pursue violations for their members would extend protection down to the artist with twenty songs and no lawyer. The arXiv finding that distributor policies are largely unenforced, and detection unreliable, is a finding about the enforcement gap. Closing it requires both technical provenance and an institution with the standing to act.

None of these four is novel. Consent, transparency, collective compensation and enforcement are the pillars of every functioning rights system the music industry has built. The training-data regime does not confront the industry with an unprecedented problem, but with an old one — unlicensed mass use of creative work — at a scale the existing tools already, in principle, exist to address. The obstacle is not capability. It is will.

That will is no longer entirely absent. The Australian commitment of July 2026 moves toward something close to these four requirements: a statutory framework built on the artist's control rather than their failure to object, drafted by a dedicated office of state, and headed for Parliament rather than another consultation. Whether the bill that reaches the floor in 2027 retains that shape is an open question, and the lobbying that produced the carve-out campaign will be brought to bear on the drafting. But the claim that opt-in licensing is administratively impossible has now been contradicted by a government intending to legislate it, and the claim that a pooled fund is an adequate substitute has been put to that government and refused.

One further requirement sits above the other four, and it is the hardest: coordination across borders. Music is global, training is global, and the datasets Reisner found respect no jurisdiction. A robust opt-in regime in one country is worth little if a developer can ingest the same catalogue under a permissive exception in another and deploy the model everywhere — which is why the lobbying targets jurisdictions one at a time, probing for the weakest link. Protecting creators would require the collective-management organisations, which already coordinate through reciprocal agreements, to extend that cooperation to training rights, and governments to resist undercutting one another to host the data centres. That infrastructure is not hypothetical; it has paid songwriters across borders for decades. The question is whether the will exists to point it at this problem before the precedent of the unlicensed taking hardens into something that cannot be reversed.

The Choice Being Made

Strip away the technical vocabulary and the lobbying euphemisms, and what remains is a question of which principle a society chooses to uphold. Either creative work is property its makers control and are paid for, or it is a free resource lying around for whoever has the computing power to scrape it. The text-and-data-mining carve-out is not a compromise between these positions. It is a vote for the second, dressed in the language of the first.

The twelve-million-track dataset that would take ninety-one years to hear is a monument to a category error: the treatment of a century of human creative labour as though it were ambient data, like weather readings or traffic patterns, free for the taking because it happens to exist. It is not ambient data. Every track was made by someone who decided how the chorus should resolve, which take to keep, what the song was about. Each of those decisions is what copyright was built to protect, and each was overridden the moment the work was copied into a dataset without a word to its author.

The remedy is not to ban the technology, nor to pretend the machines can be uninvented. It is to insist that the principle which has governed creative work for a hundred years survives the transition: that you ask first, that you say who you took it from, that you pay, and that the asking, crediting and paying can be enforced by institutions strong enough to act for those too small to act for themselves. APRA AMCOS put it as plainly as it can be put. The songs are not bargaining chips. They are someone's life's work. A framework worthy of the name would refuse the one thing the technology industry is asking for above all others: permission it never sought, granted in advance, for a taking that has already happened.

The unasked permission is the whole of the matter. Restore the asking, and the rest follows.

References

1. The Atlantic / Music Business Worldwide, “Four music datasets holding millions of tracks are being shared among AI developers, The Atlantic reports”, 16 June 2026. https://www.musicbusinessworldwide.com/four-music-datasets-holding-millions-of-tracks-are-being-shared-among-ai-developers-the-atlantic-reports/
2. Exclaim!, “Backxwash, Titus Andronicus Among Musicians to Find Their Songs in AI-Training Datasets Exposed by 'The Atlantic'”, June 2026. https://exclaim.ca/music/article/backxwash-titus-andronicus-among-musicians-to-find-their-songs-in-ai-training-datasets-exposed-by-the-atlantic
3. MusicTech, “A massive music dataset is allegedly allowing AI to train on 12 million+ songs without permission”, June 2026. https://musictech.com/news/industry/ai-12-million-dataset-training/
4. Stanley Wu, Josephine Passananti, Viresh Mittal, Wenxin Ding, Haitao Zheng, Ben Y. Zhao, “An Empirical Analysis of AI Slop in Music Streaming”, arXiv:2606.18052, 16 June 2026. https://arxiv.org/abs/2606.18052
5. Deezer Newsroom, “AI-generated tracks now represent 44% of all new uploaded music”, April 2026. https://newsroom-deezer.com/2026/04/ai-generated-tracks-represent-44-of-new-uploaded-music/
6. Music Business Worldwide, “Spotify has deleted 75m+ tracks in 'spammy' AI music crackdown”, September 2025. https://www.musicbusinessworldwide.com/spotify-has-deleted-75m-spammy-tracks-as-it-unveils-new-ai-music-policies/
7. DLA Piper, “Training AI models: UK Government proposes EU style 'opt out' copyright exception”, 2025. https://www.dlapiper.com/en-us/insights/blogs/mse-today/2025/training-ai-models-uk-government-proposes-eu-style-opt-out-copyright-exception
8. Reed Smith, “UK copyright and AI report: the 'opt-out' is dead, but what comes next?“. https://www.reedsmith.com/articles/uk-copyright-and-ai-report-the-opt-out-is-dead-but-what-comes-next/
9. A&O Shearman, “UK Copyright and AI: Government Drops TDM Exception Plans”, 2025. https://www.aoshearman.com/en/insights/ao-shearman-on-tech/where-are-we-on-copyright-and-ai-in-the-uk
10. Attorney-General's Department / APRA AMCOS, “Australian Government rules out Text and Data Mining exception”. https://www.apraamcos.com.au/about-us/news-and-events/tdm-response
11. The Music (themusic.com.au), “ARIA, APRA AMCOS Heads Respond To Calls For Pro-AI Copyright Overhaul”, 4 June 2026. https://themusic.com.au/industry/aria-apra-amcos-heads-respond-to-calls-for-pro-ai-copyright-overhaul/vsJ80NPS1dQ/04-06-26
12. Complete Music Update, “APRA AMCOS says Atlantic investigation proves AI companies have plundered the 'life's work of Australian and New Zealand songwriters'”, 19 June 2026. https://completemusicupdate.com/apra-amcos-says-atlantic-investigation-proves-ai-companies-have-plundered-the-lifes-work-of-australian-and-new-zealand-songwriters/
13. APRA AMCOS, “PROOF OF THEFT: Investigation uncovers songs stolen for AI”. https://www.apraamcos.com.au/about-us/news-and-events/proof-of-theft-ai-investigation-the-atlantic
14. APRA AMCOS, “AI and Music Report”. https://www.apraamcos.com.au/about/supporting-the-industry/research-papers/aiandmusic
15. Billboard, “Australia's Prime Minister Commits to Copyright Protections In AI Age”, July 2026. https://www.billboard.com/pro/australia-prime-minister-commits-copyright-protections-ai/
16. Digital Music News, “Australian Gov't Commits to AI Training Protections With New Law”, 15 July 2026. https://www.digitalmusicnews.com/2026/07/15/australia-ai-law/
17. 404 Media, “Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius”, 15 July 2026. https://www.404media.co/hack-reveals-suno-ai-music-generator-scraped-youtube-deezer-and-genius/
18. Music Business Worldwide, “Suno scraped YouTube, Deezer to train AI, hacked code reveals”, July 2026. https://www.musicbusinessworldwide.com/suno-scraped-youtube-deezer-and-genius-to-train-its-ai-hacked-code-reveals/
19. MLex, “GEMA, Suno copyright ruling postponed by Munich court to July 31”. https://www.mlex.com/mlex/articles/2481789/gema-suno-copyright-ruling-postponed-by-munich-court-to-july-31
20. Fordham Political Review, “The Legal Limits of Creativity: Sampling, Copyright, and the Future of Music Law”. https://fordhampoliticalreview.org/the-legal-limits-of-creativity-sampling-copyright-and-the-future-of-music-law/
21. Wikipedia, “Mechanical license”. https://en.wikipedia.org/wiki/Mechanical_license
22. WIPO, “Collective Management of Copyright and Related Rights”. https://www.wipo.int/en/web/copyright/collective-management

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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

I made my dish today for the potluck dinner. It came out really badly and I almost started crying. I know that it’s not just this dish and it’s more realistically the fact that I haven’t been able to work out for the last two days and I also have been sleeping really late the last two days because of me going out and doing things with friends. I’ve been really busy and I guess I’m grateful for that, but also I just feel like such utter shit right now. I tried to make a kebab dish and my kebab completely fell apart and I ended up just making overly salty ground Lamb. I’m worried that people are going to make shitty comments or treat me in a patronizing way, which is somewhat fair because they are better cooks than I am. But I just feel a lot of shame and judgment and I’m trying to learn how to cook and it sucks because I never had someone to teach me. I didn’t get to cook with my parents growing up or anything like that and so it’s hard. There’s a lot of things that seem really normal or intuitive that you just learn overtime that I don’t know and it sucks because I feel like this has happened a pretty good amount of times where someone makes fun of me for something like that where I have inexperienced. And it hurts because it feels like even more for a reason for me to want to quit. It feels like someone is making fun of me and treating me like an idiot but I really am trying. And it’s scary for me to do things like this, I’m very out of my element and I’m incredibly anxious and I’m still here trying to make these dishes and shit like that, even though people make jokes about me being bad at cooking and trying to make a simple recipes. And I kind of said myself up for them, so I can’t play too much of a victim if I’m being honest. But I wish that the world would be kind of gentle to me today. I both don’t really want anyone to eat my dish, but I also feel already anxious about the shame of taking back a completely untouched Tupperware at the end of the night. I’m going for a little bit just to have said that I went, but I just wanna leave and I brought my gym clothes and headphones so that right afterwards I can finally go to the gym and I’m hoping that that will help me.

I sent the title as what I did because I was listening to the part of famous profits where it almost moved me to tears today, and I really love this part of the song and it just felt hollow. I thought to myself that depression is taking away my enjoyment of music again, and I would give so much to have those notes back. And then I also thought about how I shredded and flushed away the evidence of my relationship when I was in middle school with my best friend, and I wish that I had a copy of all of those coated love letters because that was one of the best memories I think I had and I would have loved to still have those notes also. I’m also driving right now. The same route that I used to go to see E and it doesn’t hurt, and my memory of her is fairly distant. It’s something that I have to pull rather than push away. And I think that’s a good sign at least that I have been able to heal past a breakup in the same way that every breakup always hurts people. That’s it about that. I don’t really wanna talk more about my ex. I did tell. J that I felt like shit because of my dish and I almost cried and she FaceTime me. I didn’t really expect that but I picked up and we just talked a little bit about random kind of stuff. Nothing too serious but me kind of just explaining that I felt like shit. She told me she would have my back and I’m really grateful for that. I know that the dish in this whole dinner really doesn’t matter and it’s more just a combination of the lack of sleep and exercise and exhaustion and lack of time for myself, but the thought of a friend, knowing that I am insecure about cooking and I feel bad about my dish and purposefully eating more of my dish and telling me that they like it even if I know it’s a lie. I think the idea of someone caring about me that much makes me want to cry and it sucks because I’m just about here and I am tearing up again, but it’s a very sweet thought to think about someone loving me and caring about me that much. And it’s such a stupid thing just eating and overly salty ground Lam dish but the thought that someone wants me to feel OK and not like a fucking failure when it comes to stuff like this is enough to make me cry, I guess. I don’t even know what is a realistic bar or something I can hope for or where this even lays in respect to that. I think it would be such a beautiful thing to feel safe and a place where I am accepted. What a strange dream.

In Summary: * Winding down a quiet Sunday. I did get some yard work done today, just a little bit because I started later in the morning. What little I accomplished was all in the back yard, mostly in the alley. Cutting a few of the larger branches that were reaching over the back fence, then dragging them and one other really big one that must have come down in an earlier big wind to a staging area back there where I can begin the process of cutting them into pieces to stuff into the green organics bin for the weekly pickup. There's enough there to fill that bin several times over, so I've got work to keep me as busy as I dare be for the rest of the Summer. Between that and the mowing... I swear. Roscoe is NOT gonna get bored!

Prayers, etc.: * I have a daily prayer regimen I try to follow throughout the day from early morning, as soon as I roll out of bed, until head hits pillow at night.

Health Metrics: * bw= 227.63 lbs. * bp= 139/82 (71)

Exercise: * morning stretches, balance exercises, kegel pelvic floor exercises, half squats, calf raises, wall push-ups, BP breathing exercises, pilates

Diet: * 06:00 – 1 banana * 06:50 – 1 seafood salad and cheese sandwich * 09:00 – fresh apple slices, 1 banana, sausage, omelet * 18:15 – 1 dish of ice cream

Activities, Chores, etc.: * 05:45 – bank accounts activity monitored. * 05:55 – read, write, pray, follow news reports from various sources, surf the socials, nap * 11:30 to 12:30 – yard work, back yard and alley * 13:00 – listen to Texas Rangers Pregame Show ahead of this afternoon's game vs. the Mariners, nap * 16:41 – And Settle wins this one, 6 to 4. * 16:45 – Listening to relaxing music on KAHL 1310 AM, San Antonio's Easy Listening Station.

Chess: * 09:20 – moved in all pending CC games

As caverns crawl with twisted rage my saunter pulls to chain. Think not where dull minds scribe as mage. Reap kindle from thwart's flame.

Bid question, but loom not for choice. Our threads reign slow in might. Nocturne does weep a strangled voice. Still, “Blaspheme!” rues my light.

Written July 26, 2026. © 2026 AnOublietteofThought.

Chapter 1: The Quiet Moment Before the Words

You are sitting in the dark with your phone turned face down on the table because one more message feels like too much. The room is quiet, but your mind is not. You know you should pray, yet everything inside you feels tangled. You could repeat the words you have said a hundred times, but tonight they feel thin. This is the hidden place behind this heartfelt message about why Jesus taught His disciples to pray: sometimes the hardest part of prayer is not believing God is there. It is knowing how to come to Him honestly.

Many of us reach that point after years of praying. We know the familiar phrases. We know when to bow our heads. We know how to ask God to bless the day, protect the family, heal the sick, and help us make good choices. But there are moments when those words no longer reach the real thing happening inside us. That is where this deeper reflection on learning to trust God in prayer belongs, because prayer was never meant to help us avoid the truth about ourselves.

The disciples did not ask Jesus to teach them how to pray on the first day they met Him. That does not mean Jesus was withholding something important. It may mean they first needed to watch Him. They had heard religious prayers before. They had grown up around people who knew the right words. What caught their attention was not simply that Jesus prayed, but that His prayer seemed connected to the life He lived.

They watched Him step away from crowds and make room for the Father when people were pulling at Him from every direction. They saw that prayer was not a public performance or a last-minute attempt to escape trouble. It was part of the quiet center of His life. Before they could understand the words Jesus would give them, they needed to see what prayer looked like in someone who trusted the Father.

They needed to learn that prayer was not a tool for controlling God, a way to look holy, or a speech meant to impress the people standing nearby. Prayer was where Jesus remained honest, dependent, and aligned with the Father. Most of us do not struggle because we have never heard a prayer. We struggle because we have learned how to say prayers without always learning how to be present with God.

A woman may whisper, “Please take care of my son,” while staring at a text message confirming that he is in trouble again. She has prayed the same prayer for months. What she may not know how to say is, “Father, I am scared that I cannot save him. I am angry that this keeps happening. I am exhausted from trying to hold everything together.” That second prayer sounds less polished, but it may be closer to the kind of honesty Jesus was teaching.

When Jesus began with “Our Father,” He did not give the disciples a magic opening line. He showed them where prayer begins. It begins in relationship. God is not a distant official waiting for us to make a perfect case. He is Father. Yet Jesus also taught them to honor God’s name as holy. The closeness of God does not make Him small, and His holiness does not make Him cold. Prayer holds both truths together. We come near, but we do not take control. We speak honestly, but we remember who God is.

This is where many of our prayers begin to drift. We may come to God with a full set of instructions. We want Him to change a person, fix a problem, open one door, close another, and give us the answer we have already decided is right. There is nothing wrong with asking for help. Jesus taught us to ask for daily bread. He understands that bills are real, bodies get sick, relationships break, and people we love make choices that frighten us. He did not shame human need.

Prayer becomes smaller than His intent when we only ask God to change what is around us and never allow Him to show us what needs to change within us. That is the quiet conflict many Christians carry. We want God’s help, but we do not always want His direction. We want relief, but not always surrender. We want Him to bless our plans, but we are not sure we want Him to question them.

Jesus did not teach prayer as a way to make God support the life we have already chosen. He taught prayer as a place where we bring the whole life to the Father, including the parts we would rather keep hidden. An honest prayer can therefore be simple: “Father, I do not know what to say. I want my way, but I want to learn to trust Yours. Show me what I am refusing to see.” Those are not weak words. They are the beginning of real prayer because they stop pretending.

The disciples asked Jesus to teach them because they had seen what prayer looked like when it was more than words. They had seen a life that kept returning to the Father. They wanted that life, not merely a formula. Maybe that is where the lesson begins for us too. It does not begin with longer prayers, better language, or greater confidence. It begins when we stop trying to sound like people who have everything together and come to God as people who know they need Him.

Chapter 2: When Prayer Stops Being a Performance

The morning comes too quickly after a bad night. The coffee is made, the house begins moving, and everyone seems to need something before you have even had time to think. You may stand at the kitchen counter with your hands wrapped around a warm mug and realize you have already started rehearsing the day’s problems in your mind. There is the conversation you do not want to have, the doctor’s call you are waiting for, the balance in the bank account, the mistake you made yesterday, and the person you are trying not to disappoint. You know you should pray, but part of you wonders whether prayer will change anything.

That question is not a sign that faith has disappeared. It is often the moment when prayer can become more real. Many Christians have been taught to hide uncertainty from God, as though honesty might offend Him. We think we must arrive with confidence already in place. We try to sound calm when we are not calm. We say, “I trust You,” while our thoughts are racing in every direction. But Jesus did not teach His disciples to perform certainty. He taught them to come to the Father.

That changes the purpose of prayer. Prayer is not where we prove that we are strong enough to deserve God’s attention. It is where we admit that we are not enough on our own. The words Jesus gave His disciples move us away from self-sufficiency. “Give us this day our daily bread” is a prayer of dependence. It is the prayer of someone who knows today has needs that cannot all be controlled.

Daily bread can mean the food on the table, but it also teaches us to live one day at a time. We often want God to show us the whole road. We want the answer for next month, the guarantee for next year, and the promise that nothing painful will happen. Jesus brings us back to today. He does not deny tomorrow. He simply reminds us that grace is often given in daily portions.

A man driving to work may be carrying a decision that could affect his family. He has looked at the numbers, asked for advice, and still does not know what to do. His prayer does not need to become a speech. He can say, “Father, give me wisdom for the next right step. Keep fear from making this decision for me.” That prayer may not remove the responsibility, but it places the responsibility where it belongs: in the hands of someone who is willing to listen rather than merely react.

Jesus also joined prayer with forgiveness. That is where the prayer becomes uncomfortable. It is easy to ask God for peace while holding tightly to resentment. It is easy to ask Him to forgive our impatience while refusing to forgive someone else’s failure. Jesus did not connect these things to make forgiveness feel earned. He connected them because receiving mercy should change the way we carry the failures of others.

Forgiveness does not mean pretending the wound did not matter. It does not require us to trust someone who remains unsafe, and it does not erase wise boundaries. But prayer brings our anger into the presence of God so it does not quietly become the ruler of our life. We may begin by saying, “Father, I am not ready to feel differently, but I do not want this hurt to own me.” That is an honest place to begin.

This is one way Christian prayer can reflect the intent of Jesus. It becomes a place where we stop hiding. We bring the unpaid bill, the medical fear, the strained marriage, the regret, the envy, the exhaustion, and the resentment. We do not bring them because God is unaware of them. We bring them because we are choosing not to carry them alone or pretend they are not shaping us.

Christian prayer misses His intent when it becomes only a request for better circumstances. We can spend years asking God to remove every difficulty while never asking Him to form patience, courage, mercy, and wisdom within us. We may ask Him to take away every hard person, every closed door, and every season of waiting. Sometimes He does change the situation. Sometimes He changes us while we are still standing inside it.

That does not mean every painful circumstance has been sent to teach us a lesson. It means no circumstance is beyond God’s ability to meet us there. Jesus never treated suffering as a simple classroom exercise. He wept with people. He healed people. He carried pain Himself. The lesson about Jesus is not that He stands far away telling us to pray harder. The lesson is that He understands what it means to bring a real human life before the Father.

Jesus prayed in moments of pressure, grief, decision, and suffering. He did not pray to escape being human. He prayed as the Son who trusted the Father completely. His example shows us that prayer is not a sign that we have failed to handle life. Prayer is part of how we live life honestly with God.

There may still be mornings when you do not know what to say. There may be nights when the words will not come. In those moments, prayer may be no more than sitting quietly and saying, “Father, I am here.” You may open the prayer Jesus taught and move through it slowly, not as a formula, but as a way of returning your heart to what is true.

When you say “Our Father,” you remember that you are not alone. When you honor His name, you remember that He is God and you are not. When you ask for His kingdom and His will, you place your own plans beneath His wisdom. When you ask for daily bread, you trust Him with what this day requires. When you ask for forgiveness, you stop defending what needs to be confessed. When you pray about forgiving others, you invite God into the hurt you keep carrying. When you ask Him to lead you away from temptation, you admit that fear and pride can pull you toward choices that will not make you whole.

The words are simple, but the life they invite is deep. Jesus did not teach His disciples to pray so they could sound more religious. He taught them to live near the Father. He taught them to bring their needs without shame, their sins without excuses, their relationships without pretending, and their future without demanding control.

That is still the invitation. You do not need to become impressive before you pray. You do not need to clear your mind, solve the problem, or find the perfect words. You can come tired. You can come uncertain. You can come with faith that feels small. The important thing is not that you arrive with everything together. The important thing is that you come.

And when you come, Jesus is not merely giving you words to repeat. He is showing you the Father.

Your friend,

Douglas Vandergraph

Explore the complete Douglas Vandergraph Master Index: https://douglasvandergraph.com/douglas-vandergraph-master-index/

Watch Douglas Vandergraph’s faith-based videos on YouTube: https://www.youtube.com/@douglasvandergraph

Our Father Who art in Heaven Hallowed be Thy name Thy Kingdom come Thy will be done on Earth as it is in Heaven Give us this day our daily Bread And forgive us our trespasses As we forgive those who trespass against us And lead us not into temptation But deliver us from evil

Amen

Jesus is Lord! Come Lord Jesus!

Come Lord Jesus! Christ is Lord!

The apiary be Scottish run to mute Late December this hugger And seeing simply rise What time in Hearst for Will Enough of oak And seeming simpler For five octet and lane And pasture by the law Economy forever- and nines to the Moon Giving ray to God And night shall let us be- the end of war.

Sudden And Unusual (Fire Me)

For the time this week And known purchases to comply Based on a long trip It was Eesti and Reunion But to Marshall the pretend And signs of rupture to Maghreb We were the universe And the dollar bill and its army And the anguish of a hundred And of an angel And a country To see the solemn survive To review And to take rest In timely we view The place in need of secure To feel and not pretend That enemies lay unprotected So surely to invoke The night of one regret Sitting and careful then On the twentieth we have war And made amends- to the grief of an aging course The repetition in union And solely reported by men And to the new unlabour speaks might There was something of May about Nothing says to the incline Of a past to restruggle the evident To the Eastern laity of war Thoughts for the tide and umber sea The days to King and Commonwealth We stayed upon the open sea And to retract all returning The West at due May course To front every place but our prism And sailing to the better of men Portions inland The legacy of war And returning our inland sea To the abode of a distant and weary men This water to the knees and on time In Justice, youth re-une In highly react-to at war And the sympathy of maiming still What is war and whatever is LCD To discourage the damage And to be fine with the greatest of men We will not live underground And we will have Victory at last.

To the Blessed Virgin Mary, our Patron and Saint at war.