Want to join in? Respond to our weekly writing prompts, open to everyone.
Want to join in? Respond to our weekly writing prompts, open to everyone.
from
SMK - Statens Museum for Kunst
Guest post by Barbara Nagy

The process of creating the additions
The 3D additions were made in Zbrush. These elements were not directly reconstructed on the base model; instead, each addition was created by using separate forms. The recunstruction process began with the statue’s left hand. First of all, a spherical shape was inserted, which was scaled down, elongated, and positioned in place of the palm. This form was selectively masked, leaving an oval opening at the wrist, to prevent any deformation in that area during further sculpting. Using the Gizmo tool, the shape of the wrist was extruded, and the same method was used to model the fingers (see Figure 1).
The stretching process caused polygon distortion and surface noise. In order to continue the sculpting, Dynamesh was applied. This retopology helps to get a new, cleaner surface, with uniform polygons. Then the mass of the hand was sculpted by using a variety of brushes and the direction of each fingers were adjusted segment by segment.
To enable the sculpting of finer details (such as fingernails and sharp creases) additional Subdivision levels were used (see Figure 2). Finally, the model was duplicated and processed with ZRemesher to generate a cleaner topology, which followed the model’s shape better. For the right arm, the previously completed left hand was duplicated and mirrored to ensure the same scale and form. Due to the fact, that the entire forearm was missing, it was constructed separately. After that the hand was positioned into the planned pose and then it was merged with the forearm.
Following the reconstruction of the hands, the remaining missing parts (including the right little toe and some broken sections of the drapery) were similarly reconstructed one by one.
Figure 1 - Steps of sculpting hand (Source: Sculpting Hands in Zbrush)
Figure 2 – Subdivision levels, increasing details of the model
Figure 3 – The 3D model before and after the reconstructionfrom Jainam Infotech: Mastering Australian Reviews & Citations for Local SEO
Jainam Infotech: Mastering Australian Reviews & Citations for Local SEO
In today’s highly competitive digital world, every local business in Australia needs strong online visibility to stay ahead. Whether you're a café in Melbourne, a plumbing service in Sydney, or an e-commerce store serving the entire nation—your online reputation directs your success. One of the most powerful ways to strengthen your digital footprint is by optimizing your Google Business Listing, building high-authority local citations, and managing customer reviews effectively.
This is where Jainam Infotech stands out as a trusted SEO partner. With years of hands-on experience and proven results, Jainam Infotech helps Australian businesses dominate local search rankings using advanced strategies for reviews, citations, and Google My Business listing optimization.
Why Reviews & Citations Matter for Local SEO in Australia Local SEO revolves around trust, authority, and relevance. Google’s algorithm rewards businesses that demonstrate strong credibility. Two critical factors for this are:
How people perceive your services
Your business reliability
Your engagement with customers
Overall customer satisfaction
More positive reviews on your Google My Business business listing not only boost search rankings but also influence potential customers to choose you.
Name
Address
Phone number
Website
These appear on websites, directories, and local platforms. When your citations are accurate and consistent across the web, Google gains more trust in your business—leading to better rankings in the Australian local search results.
Jainam Infotech specializes in both, ensuring your business is fully optimized to appear at the top of local searches.
How Jainam Infotech Elevates Your Google Business Listing A properly optimized Google My Business listing (also known as Google listing my business) is the foundation of your online presence. Jainam Infotech helps Australian businesses stand out with comprehensive GMB optimization services, including:
Verification delays
Suspended listings
Incomplete profiles
Jainam’s team ensures your GMB profile is setup error-free and fully optimized.
Generate real customer reviews
Respond to reviews professionally
Remove spam or fake feedback
Boost rating consistency
This leads to improved trust and visibility.
“best electrician in Brisbane”
“Melbourne digital marketing agency”
“Perth plumber near me”
Jainam ensures your business ranks for the right local searches.
Weekly posts
Offer updates
Photo uploads
Seasonal promotions
Keeping your profile fresh enhances customer engagement.
Australian Citation Building: A Key Strength of Jainam Infotech Local citations are the backbone of off-page SEO. Jainam Infotech uses a systematic approach to citation building that includes:
✔ Listing Your Business on Top Australian Directories Including high-authority sites such as:
Yellow Pages
TrueLocal
Hotfrog
Yelp Australia
StartLocal
PureLocal
AussieWeb
Consistent and strategic citation placement signals Google that your business is credible and active.
✔ Manual Submission for Accuracy Unlike automated tools, Jainam uses manual submissions to ensure:
No errors
No duplicates
Correct formatting
Accurate NAP consistency
✔ Niche-Specific Citations If you operate in healthcare, construction, hospitality, finance, or retail, Jainam builds citations specifically relevant to your field—boosting targeted visibility.
Why Australian Businesses Trust Jainam Infotech Jainam Infotech has built a strong reputation for delivering genuine, long-lasting results. Their approach is:
Ethical & transparent
Data-driven
Customized for Australian markets
100% customer-centric
From boosting rankings to building authority, they ensure your business grows with the right SEO foundations.
Benefits of Jainam’s Local SEO Services ✔ Higher Google Map Rankings Appear in the top local 3-pack (map results).
✔ More Website Traffic Higher visibility brings more relevant clicks.
✔ Increased Trust & Credibility Strong reviews and citations build authority.
✔ More Local Leads & Calls Ideal for service-based businesses across Australia.
✔ Strong Online Brand Presence Dominate local search across all search platforms.
FAQs About Reviews, Citations & Google My Business 1. Why is my Google My Business listing not showing in search results? This could be due to incomplete information, lack of reviews, verification issues, or poor optimization. Jainam Infotech analyzes your listing and resolves all factors preventing visibility.
How do reviews affect my Google Business Listing rankings? Reviews are a major ranking factor. The quantity, quality, and response rate of reviews influence how high you appear in local search. Jainam helps generate and manage reviews ethically.
What happens if my business information is inconsistent across directories? Inconsistent citations confuse search engines and lower your rankings. Jainam Infotech audits, corrects, and updates your citations to maintain perfect consistency.
I received fake or negative reviews—what can I do? Jainam assists in identifying fake reviews, reporting them, and creating a positive review strategy to outweigh the negative impact.
Does citation building guarantee higher rankings in Australia? While citations alone don’t guarantee rankings, they significantly strengthen local SEO when combined with GMB optimization, reviews, and content. Jainam provides a complete local SEO system, not just citations.
Final Thoughts Local SEO in Australia is increasingly competitive, but with the right partner—optimizing your Google Business Listing, managing reviews, and building authority through local citations becomes seamless.
Jainam Infotech has mastered these strategies, delivering outstanding results for Australian businesses across all industries.
If you're serious about dominating local search and increasing your leads, partnering with Jainam Infotech is the smart move for long-term digital success.
from
Bloc de notas
al principio pensó que era su instrumento de poder pero más tarde IA le dió un toquecito por aquí / otro por allá hasta que le infló el ego y lo sometió exactamente como hacían los humanos
from An Open Letter
I’m planning on going skydiving, and I get to spend the day with E. It’s kind of weird because this marks the first year independent and out of college, and I get to choose my family I guess.
from
Kremkaus Blog
Heute bin ich mit sofortiger Wirkung von meiner Funktion als Beisitzer im Landesvorstand von BÜNDNIS 90/DIE GRÜNEN Sachsen-Anhalt zurückgetreten. Dieser Schritt erfolgt nach einem sehr bewussten Abwägungsprozess. Jetzt, im Anschluss an den Landesparteitag, scheint mir der richtige Zeitpunkt dafür gekommen zu sein.
Meine Entscheidung beruht auf einer Mischung aus sachlichen und persönlichen Gründen. Es gibt keinen einzelnen Auslöser – vielmehr ist es die Summe vieler Überlegungen, die mich zu diesem Entschluss geführt hat.
Als ich im Mai für den Landesvorsitz kandidierte, habe ich deutlich gemacht, dass es mir vor allem um den Zustand unserer Partei geht und darum, wie wir ihn gemeinsam verbessern können. Gleichzeitig wurde mir, dann als Beisitzer im erweiterten Landesvorstand, klar signalisiert, dass dieses Thema im anstehenden Landtagswahlkampf keine Rolle spielen wird. Das ist nachvollziehbar – und dennoch merke ich, dass ich mich mit dieser Haltung zunehmend schwertue.
Hinzu kommt das Miteinander im jetzigen Landesvorstand. Immer wieder – und viel zu oft in nur fünf Monaten – hatte ich Zweifel, ob ich dort einen konstruktiven Beitrag als Beisitzer leisten kann. Woche für Woche entstand bei mir das Gefühl, eher Teil eines Problems zu sein als Teil einer Lösung. Das tat mir nicht gut und beeinflusste mein Engagement. Die Verantwortung, dieses Gefühl zu verändern, liegt allerdings auch bei mir selbst – und genau deshalb ziehe ich nun meine Konsequenzen.
Um es klar zu sagen: Ich fremdle mit meiner Rolle im aktuellen Landesvorstand, nicht mit unserer Partei. Mein politischer Schwerpunkt bleibt daher weiterhin die Organisation unseres Wahlkampfs in der Altmark. Dieses Versprechen habe ich meinem Kreisverband gegeben, und dazu stehe ich mit voller Überzeugung. Gleichzeitig möchte ich mehr Zeit für meine Familie gewinnen – ein Bedürfnis, das in den vergangenen Monaten mit jeder einzelnen Landesvorstandssitzung gewachsen ist.
Ich gehe diesen Schritt ohne Groll, aber mit persönlicher Klarheit. Für den derzeitigen Landesvorstand kann ich momentan keine sinnvolle Unterstützung leisten. Ich hoffe, dass mein Rücktritt Raum schafft: für eine bessere Passung, für neue Impulse und für konstruktive Weiterentwicklung.
Ich bedanke mich für das Vertrauen, das mir aus der Partei heraus entgegengebracht wurde – und bei allen, die mir in den vergangenen Monaten den Rücken gestärkt haben. Das war leider öfter nötig, als es sein sollte, aber jedes Gespräch hat gutgetan. Danke.
from Prov
A Detour From the Journey
I need to take a detour, because something heavy is sitting on my heart.
Today is one of those moments when the full reality of my medical condition — and all its frustrations — rises to the surface. And with it comes a single word:
Regret.
Now that I’m here in this wheelchair, I feel the weight of it. My dreams were deferred by gun violence, despite living a life where all I ever tried to do was love. I never got justice. And peace… peace is something I fight for day by day.
I grieve the life that was stolen from me. I went from carrying so much silent pain, to coming so close to ending it all… to hearing God Himself stop me and tell me, “Follow Me, and I will take you where you want to go.” I worked hard. I healed. I grew into someone I genuinely loved — someone content, someone finally at peace.
And yet here I am now… sitting at my window, overlooking a breathtaking view, and feeling nothing. Nothing but the eternal pain in my fingers from typing this out. Pain that i feel every day for simply existing. The pain of having to use tools like AI because it becomes too much to bare when I use to WRITE with passion and fervor.
Losing myself was the greatest wound — one I know I’ll never fully recover from.
But there is an upside. This journey carved a spiritual depth in me that I could never have imagined. I’ve learned so much. I’ve grown so much. But even with all that growth, I still want to walk. I want to run. To live. To love. To simply be. I finally found contentment, and then it was ripped away. Why? Why couldn’t I just have that after all the years it took to find myself? Why was I cut so short? Was I not worthy enough to heal?
Couldn’t I have just made it home safely that night?
I’ll never know the feeling of my woman’s love in the way I always dreamed… or run beside my unborn kids… or finally travel the world after COVID the way I planned. I watch everyone around me move forward, and I feel alone in this journey.
I understand, on some level, that maybe this is the spiritual mission I chose before coming here. But even so… I still hope. I still wish that somehow, the universe might do right by me — that it might give me a chance to start again. A life where everything still happened until that night, but the violence never did. A life where I can keep the wisdom, keep the memories, and yet never be a victim.
Oh, how I would live. So much more… even more than I already was.
Prov
from Prdeush
V Dědolesu žijí prdelatí jeleni. Mají prdele tak majestátní, že kdyby existoval soutěžní katalog, dostali by titul “Prdel roku“ každý zvlášť.
Mají ale i povahu jako stará teta po víně: naštvaní, žárliví a mstiví.
🦌 Když jsou slavnosti, je vymalováno
Dědci oslavují. Pijí. Řvou. Prdí do rytmu, tančí tanec “Prdel o prdel”.
A v tu chvíli jeleni zapnou své vnitřní senzory — „slavnostní radar“. Ten funguje tak, že jakmile ucítí první páreček na roštu, mozek jim vypne a zadek zapne.
Jeleni se seřadí do stád, tváří se nevinně… a pak vyběhnou rychlostí, která dělá z dědků bowlingové kuželky.
🌪️ Vtrhnutí do vesnice
Jeden jelen prorazí vrata. Druhý oknem. Třetí dveřmi, i když byly otevřené, protože je to debil.
V každém domku proběhne stejný scénář, jelen pustí prd jak plynová elektrárna.
Ten prd není obyčejný. To je biologická zbraň.
Dědci říkají, že se s tím smrádkem dá krájet chleba. Jeden dědek to i zkusil — upadl, oslepl a od té doby mluví jen o tlačence.
💀 „Týden tmy a smrádku“
Po jelením útoku nejde nic vyvětrat. Ani okna dokořán. Ani vítr. Ani tři dny bouřek.
Jelení prd drží jako prokletí. Visí tam jako následek špatných životních rozhodnutí.
Dědci nečekají ani minutu. Sbalí věci, polštář z mechu… a utíkají do jezevčích nor, kde je smrad sice brutální, ale pořád lepší než jelení.
Jezevci z toho nejsou nadšení. Ale tolerují to. Jednak ze soucitu… a jednak proto, že dědek je v noře měkoučký, takže se na něm dobře spí.
🎯 Závěrečné shrnutí
Prdelatí jeleni jsou krásní. Ale jakmile se nadechnou… uteč.
from Nerd for Hire
I'm naturally inclined toward homebody-ness as it is, and this time of year that impulse gets extra hard to fight. Why go out in that cold, rainy, grayness when I could stay in the warm place with the cats? I was thinking about this in the context of Thanksgiving, that my plan was to stay home instead of making the drive to spend the day with my family, and how the definition of home has changed for me over the years. Back in college, “home for the holidays” meant returning to the point of origin. By this point, where I think of as home isn’t where I came from, but where I’ve built my own life.
Home has that same kind of loaded and complex history for characters, too. It lives a double life as both an abstract concept and a tangible location, and that gives it a lot of flexibility and power. So, to get a sense for that, here are five prompts that play with home in various ways.
One of the most powerful potential uses of home in creative work is as somehing that's longed for or missed. The desire to be in a familiar place can be a powerful driver and emotional engine for a story, especially around holidays or major milestones like birthdays and anniversaries.
For this prompt, think of a character who has been away from home for an extended period of time. Briefly sketch out why they left home and how long it's been since they were back. Then, think about a date that would be important to them, one that they would have good memories of spending in their home. Finally, write a scene where the individual is going about their life on this special day, where their desire to be back home or their homesickness plays a major part in the story.
One of the functions of home is as a repository of all of our stuff. So let's turn all of that stuff into a writing prompt. To start, go around your home and pick up five random objects. Bring them back to where you write, then assign each one to be an inspiration for each of the five following things:
Once you've paired each object to one of those things, write a piece that incorporates all of them together.
Every kind of person and creature can have a home—even the characters that might usually take the villain, monster, or general bad buy role in the typical story. To write this prompt:
Think of a character or type of character that you don't typically picture just lounging around at home.
Take a second to brainstorm just what that kind of character's home would be like. It might even be fun to sketch out its layout. Think about things like what kind of space they would sleep in, where they would store and prepare food, and what kind of decorations they'd be likely to have.
Write a scene or poem where the evil, villainous, or monstrous creature is hanging out with a friend or relative in their home.
Unless you had the place you're living in built just for you, there were people who lived in the space before you got there. You might have found some of their things still left behind when you moved in, or still be questioning some of their design choices that you haven't gotten around to changing (or can't, if the place is rented).
Take a second to brainstorm who might have lived here before you. This could be educated guessing based on things you actually know about them, or complete invention—whatever seems the most fun for you. Think about the big strokes of their personality and identity. Also think about how they would have used the space. Would it have been laid out the same as you have it? Would they have used any of the rooms for different purposes than you do?
Once you've thought through some of those details, write a scene where this individual is in the home and receives big news—either positive or negative. Show them engaging with the space while they're listening to or processing this information drop.
Another of the key traits of home is that it's a place of ultimate safety. It's where we're able to feel most ourselves and most secure, the one place we want to retreat to when we're feeling threatened—or, at least, it should be. Which is what can make it extra awful when characters come under threat right there in their own domain.
To start off, think about a character, and briefly describe their home environment. Next, think about some things within that environment that could be potential sources of danger, fear, or tension. These don't necessarily need to be sources of physical danger. They could also be potential sources of emotional distress in the form of strained relationships or objects that trigger bad memories, for instance.
For the last step, pick one of those sources of danger or fear that you brainstormed and write a scene that shows the character facing it.
See similar posts:
#WritingExercises #WritingAdvice
from
Dad vs Videogames 🎮
I have held off on publishing this game log entry for a long time, because I couldn't write it in a spoiler free manner. This entry deals with a major story-line spoiler. I can redact some details and hide them behind a link, but I cannot remove most of the content, because otherwise this game log would not make any sense. So, readers be warned. This post contains major plot-line spoilers.
Character Name: Edgewater Class: Soldier Playthrough: 1st
Uhm… we just got attacked by the Starborn. <See spoiler...> is dead. The Starborn Hunter attacked The Eye first, then came into The Lodge. We had to run away with the artifacts. The Hunter actually decided to let us go. We used the opportunity to try and help everyone at The Eye. Everyone survived except <See spoiler...>. I kinda feel like its my fault.
I should have stopped going on all those missions to get those artifacts. At first, I could get the artifacts with no opposition. But eventually, a Starborn would show up right in front of an artifact to try and fight us. A Starborn also started showing up after getting powers from those temples. I started feeling uneasy about going after more artifacts, but I also believe that was the only way to draw them out. Well, we did draw them out, and they hit us hard and now <See spoiler...> is dead.
I wonder if me deciding to defend The Lodge and the artifacts, instead of flying to The Eye to help them, is what got <See spoiler...> killed. I should have decided to defend The Eye isntead. We didn't do much defending of The Lodge anyway. All we did was run away and get people killed. And now a part of New Atlantis is destroyed in the process.
Flying to The Eye after the attack on New Atlantis...
On my next playthrough, I'm definitely going to The Eye to try and save <See spoiler...>
This has actually affected me more than I thought it would. I was trying to distance myself from <See spoiler...> because things were getting a little too cozy, and that character was starting to rely on me heavily. Turns out, that was the game developer's way of foreshadowing; something was going to happen to that companion, which explains the behavior. Anyway, now I definitely need to know what the Starborn are, what they are after, why they are doing what they are doing, and how to fight back. Can't lose any more people to them.
I went to the UC Security Office to talk to the Va'ruun prisoner to help find out more about this Unity thing. I ended up talking to Sergeant Yumi. Not sure if I wasn't supposed to, but this guy pretty much gave me no choice but to go with him.
Then I get interrogated by this Commander Ikande because “I committed some crimes”. This guy wants me to go undercover in the Crimson Fleet. Why? They didn't even tell me what crimes I've committed. I'm trying to find out more about the Starborn and Unity to stop other people in Constellation from getting killed, and here comes this commander who can't get his job done on his own, tries to blackmail me into going undercover so he can take the Crimson Fleet down. I refused because I was being coerced, as opposed to being asked for help. And I still don't know what crimes I committed to justify them blackmailing me like that.
So refusing this commander's offer got me sent to a prison in Cydonia. Apparently I spent 5 days in prison and lost 500XP. I also am now an enemy of UC SysDef?! Like what the eff! I refused the offer because I didn't want to do it. How did that instantly make me an enemy of the UC SysDef department? It's crazy. If that's the case, I might as well join the Crimson Fleet if the UC SysDef is going to hunt me down.
So after getting out of jail, I go back to New Atlantis to talk to the Va'ruun prisoner. Sergeant Yumi is still there. I talk to him to ask if I can talk to the prisoner, but no such option exists. And the guy acts like he's never seen me at all. Freaking forgot he made me follow him without giving me any choice. This part of the game is broken.
Then I try to see how to talk to prisoner. There is a hallway that says “Security Staff Only”. Since no one was talking to me about the prisoner, I thought I'd walk in there, but I was fully expecting the security personel to get mad, because I am not “Security Staff”. But no, no one pays attention and I was able to walk by myself into the prison without anyone batting an eye. This part of the game seems broken too.
Tags: #GameLog #Starfield
from
hustin.art
This post is NSFW 19+ Adult content. Viewer discretion is advised.
In the Japanese AV industry, it is fairly common for mainstream idols to transition into adult video work, and Kokona Nakamori (also known as Shinna) also follows this path, having been a child actor and later a member of an underground idol group. She possesses a wealth of vivid charm in her expressions, eyes, and speech. Her ever-innocently playful, slightly provocative smile fits the typical Imouto Type and Beloved Type appearance. Yet, her unique facial structure sets her apart. She has a cute, rounded face with soft cheeks, a wide mid-face, and eyes that are set far apart — a distinctly outer-spread, seemingly turtle-like or piscine (魚顔) appearance.
When Kokona debuted in 2024 at the age of 20, her youthful, girlish charm, and pure, innocent appearance were paired with a captivating sexual performance, earning her positive attention and expectations. She was tailor-made for the school gym uniform — as if engineered for this niche fetish concept. Her bust is relatively small compared with her slightly plump upper body, and her waist is a bit thick, limiting flexibility and offering little visual enjoyment in riding positions. Yet, her standout strengths lie in her fellatio scenes, including double-entry situations, where she demonstrates exceptional skill. Scenes where she sucks the men’s cocks one by one while wearing a gym uniform in the locker room are quite spectacular. How can a girl who looks like she just stepped out of a manga take such serious, devoted care of any cock?
Unlike typical passive idols who evoke male protectiveness or dominance fantasies, Kokona occasionally exhibits an active, mischievously teasing type. In some scenes, male performers are blindfolded while she explores their bodies. In most fellatio scenes, her playful grin, slightly raised eyes, and rhythmic teasing of the glans convey a subtle sadistic imouto character, suggesting a natural potential for dominance. Also, her facial structure allows her mouth to open especially wide, which she uses to her advantage during oral sex or when receiving ejaculation, adding a striking and robust allure distinctive to her performances.
Yet, her distinctive face struggles to sustain sexual appeal; her “differentiated marketability” proved short-lived. After debuting with the major label S1, she soon changed agencies, underwent cosmetic surgery, and adopted the stage name Sato Meru; her activity remained sparse for a while, but new releases began appearing around September 2025. Although she apologized to fans for the low sales of her S1 titles on her X account, her performances during that period still left a pussyprint—contributing to her ongoing legacy in JAV history—and remaining worthy of respect. Time may pass, yet the taste of Shinna’s coquettish tongue on a cock will send shivers through him forever! (Screenshot below: #1 SONE-091 / #2 SONE-447)
https://x.com/omeru_2/status/1910018037195084265
#JAV #PornAesthetics #KokonaNakamori #ShinnaNakamori #SatoMeru #debut2024

from Douglas Vandergraph
There are chapters in Scripture that feel like they arrive in your life exactly when you need them most. John 14 is one of them.
It is the chapter Jesus spoke into a room heavy with fear… a chapter meant for disciples who felt the world shaking beneath their feet… a chapter meant for believers who desperately needed reassurance… and a chapter meant for you, right now, in whatever place your soul is standing.
When Jesus said, “Let not your heart be troubled…” He wasn’t whispering poetry. He was breaking chains.
John 14 is not just doctrine. It is comfort. It is clarity. It is a doorway into the heart of God.
The following study is not simply an explanation — it is an invitation to step into the room with Jesus and His disciples, to feel the weight of those final hours before the cross, and to hear His promises as if they were spoken directly into your life today.
In the first quarter of this article, you will encounter a link to a message that opens this chapter even more deeply. It will guide you further into the truth and hope that Jesus poured into these verses. You can explore that message here: John 14 explained
This entire study was written slowly… deliberately… meditatively — in the reflective rhythm that write.as is known to elevate. Consider it a quiet walk with Jesus through one of the most comforting passages in all of Scripture.
Before we interpret the beauty of John 14, we must sit for a moment in the room where it was spoken.
The disciples had just learned:
Jesus was going away. A betrayer sat among them. Peter would deny Him. Everything familiar was about to collapse.
This was not calm discussion. This was heartbreak.
For three years they walked with Him… heard His voice… leaned on His strength… watched the impossible bow at His command.
And now He tells them He is leaving.
Fear shrinks men. Uncertainty squeezes hope dry. Silence can amplify dread.
John 14 opens not with a command, but with comfort.
“Let not your heart be troubled…”
What an astonishing way to begin.
Jesus wasn’t indifferent to their fear. He wasn’t frustrated by their weakness. He didn’t scold them for not understanding.
He comforted them before they even asked for comfort.
This entire chapter flows from that same tender heart.
It is Jesus holding His disciples steady while the world shakes.
And that is what He wants to do for you.
These seven words are a lifeline.
You can almost hear the kindness in Jesus’ voice… the gentleness… the strength that comes only from someone who knows the end of the story.
He was hours away from betrayal, arrest, torture, and crucifixion — yet His focus was their peace.
Before the nails, before the crown of thorns, before the darkness, He was still shepherding their hearts.
This is the Jesus of John 14: the Jesus who sees your fear… your anxiety… your confusion… and speaks peace before He speaks instruction.
“Let not your heart be troubled” is not denial of reality. It is an invitation to shift your focus.
Jesus doesn’t tell you not to feel. He tells you not to let trouble rule you.
Your heart may bend, but it doesn’t have to break. Your faith may tremble, but it doesn’t have to collapse. Your spirit may feel heavy, but it doesn’t have to drown.
He is offering you more than reassurance — He is offering you Himself.
When Jesus follows “Let not your heart be troubled,” He gives a reason:
“In My Father’s house are many mansions…”
He shifts their eyes from sorrow to eternity.
He reminds them — and you — that this world is not the final destination. Pain is temporary. Suffering is passing. Uncertainty is not forever.
The word Jesus uses, often translated “mansions,” carries a deeper meaning than simply “rooms.” It means a permanent dwelling place. A forever home. A place prepared with intention, not merely assigned.
Jesus is not describing temporary lodging. He is describing eternal belonging.
Many believers live with a quiet ache they cannot name — a longing for home.
Not a house. Not a city. A home.
John 14 tells you where that ache comes from.
Your soul was designed for the Father’s house.
This world is too noisy for you. Too broken for you. Too small for you.
You were made for eternal fellowship. For presence, not pressure. For peace, not performance.
And Jesus says, “I am preparing a place for you.”
Not for a crowd. Not for “better Christians.” For you.
The disciples feared abandonment. Jesus replaced that fear with purpose.
He wasn’t leaving them. He was preparing the way for them.
Every step toward the cross was Jesus preparing your place in eternity.
Every lash, every insult, every drop of blood was clearing the path home.
He turned His departure into your arrival.
When Jesus said, “I go to prepare a place for you,” He wasn’t talking about architecture. He was talking about access.
Access to the Father. Access to eternal life. Access to the presence of God.
He was preparing a place not by building it, but by paying for it.
The cross was the preparation.
Heaven is not made available by your goodness. It is opened by His sacrifice.
This is why John 14 is so tender — it is Jesus telling you He is willing to face death so you can face eternity without fear.
For the believer, this sentence is oxygen:
“I will come again and receive you unto Myself.”
Jesus doesn’t send an escort. He comes personally.
He doesn’t commission an angel. He Himself receives you.
This is not a metaphor. This is not symbolic language. This is a promise.
There will be a day when Jesus stands on the threshold of eternity and calls your name with a voice that breaks every chain of mortality.
And He will bring you home.
Your story will not end in darkness. Your final chapter isn’t written in fear. Your last breath isn’t the end — it’s the moment Jesus fulfills His promise.
This is why John 14 is so vital. It places hope inside the deepest part of you.
It reminds you that you are not walking toward death — You are walking toward Him.
Thomas asks Jesus the most human question in the chapter:
“Lord, we do not know where You are going, and how can we know the way?”
This is not doubt. This is honesty.
Thomas is saying what every heart says at some point:
“I’m trying to follow You, but I don’t understand.” “I want to trust You, but I need clarity.” “I want to walk in faith, but I feel lost.”
Jesus does not rebuke him. He does not shame him. He does not dismiss him.
Instead, He gives the most defining statement in all of Christianity.
These are not just words. They are revelation.
Not a guide. Not a path among many. Not a moral example.
He is the only path to the Father.
He doesn’t merely show you the way — He is the way.
Every step toward God is a step toward Jesus. Every prayer, every moment of surrender, every act of faith leads through Him.
Not a religious concept. Not a collection of teachings. Not an interpretation.
He is truth embodied — living, breathing, unchanging.
Truth is not an idea. Truth is a Person.
The world questions everything. Jesus answers everything.
Not existence. Not biological survival. Not earthly pleasure.
He is spiritual life. Eternal life. Transforming life.
Life that starts now and continues forever.
When Jesus says, “I am the way, the truth, and the life,” He is telling you that everything you seek is found in Him.
Direction? Him. Understanding? Him. Purpose? Him. Peace? Him. Eternal life? Him.
Nothing else. No one else. Ever.
Jesus continues:
“If you had known Me, you would have known My Father also.”
This chapter is not merely about the identity of Jesus. It is about the revelation of the Father.
To know Jesus is to see the Father’s heart. To listen to Jesus is to hear the Father’s voice. To follow Jesus is to walk with the Father Himself.
Many believers fear God the Father because they imagine Him as distant, angry, severe.
But Jesus says: “If you know Me, you know Him.”
The Father’s heart is not different from Jesus’ heart. His compassion is not different. His desire to save, heal, forgive, and restore is not different.
Jesus is the perfect revelation of the Father’s love.
Philip then asks Jesus:
“Show us the Father, and it is enough for us.”
Jesus replies with one of the most tender, heartbreaking responses in the Gospels:
“Have I been with you so long, and yet you have not known Me, Philip?”
He isn’t angry. He is grieved.
Philip walked with Jesus, but didn’t yet understand Him.
Many believers feel the same. They love Jesus… but they still misunderstand the Father. They worship Jesus… but still imagine God as distant. They follow Jesus… but remain unsure of God’s heart toward them.
Jesus corrects Philip with a truth that still transforms today:
“He who has seen Me has seen the Father.”
This is the foundation of the Christian faith. Jesus is not a messenger. He is the revelation.
Here the tone of the chapter shifts.
Jesus reveals the promise that would sustain His disciples after His departure:
the Holy Spirit.
He calls the Spirit:
And then He says the most healing words:
“I will not leave you orphans.”
This is not theology. This is love.
Jesus knows the ache of abandonment. He knows the fear of being alone. He knows how fragile the human heart is.
And He promises that you will never walk a single moment without the Presence of God within you.
Not near you. Not around you. In you.
The Spirit does not simply comfort you — He indwells you.
The God who created the universe takes residence in your heart.
Not as a visitor. As a helper. A teacher. A guide. A companion. A source of strength. A constant presence in every valley, every burden, every decision, every prayer.
Jesus’ departure did not leave you weaker. It made you stronger.
Because through the Spirit, He is closer than ever.
Jesus ends the chapter with a gift:
“Peace I leave with you, My peace I give to you; not as the world gives.”
The world gives peace as:
It is peace based on circumstance. Peace dependent on control. Peace that collapses under chaos.
Jesus gives peace of a different kind.
This peace is not the absence of storms. It is the presence of Jesus in the storm.
This peace is not fragile. It is not circumstantial. It is not dependent on emotional stability.
It is anchored in His unchanging nature.
You may lose comfort — but you cannot lose His peace.
You may lose certainty — but you cannot lose His presence.
You may lose control — but you cannot lose His promises.
This is the peace the world cannot give and the world cannot take away.
And Jesus gives it to you freely.
John 14 speaks directly into real life:
When your mind is anxious — Jesus is the peace.
When your path is unclear — Jesus is the way.
When your truth feels shaken — Jesus is the truth.
When life feels drained of meaning — Jesus is the life.
When you feel abandoned — the Spirit makes you a child of God.
When the world feels unstable — the Father’s house anchors your hope.
When your life feels directionless — Jesus Himself becomes your direction.
This chapter is not just for study. It is for living.
And when you live it… your heart becomes untroubled not because anxiety disappears, but because Christ fills the space where fear once lived.
Pause for a moment.
Let the noise fall away. Let the pressure loosen. Let the world take a step back.
Listen.
Hear Jesus speak the opening words of John 14 personally:
“Let not your heart be troubled…”
Hear Him say:
“I am preparing a place for you.” “I will come again.” “I will receive you to Myself.” “I am the way.” “I am the truth.” “I am the life.” “I will not leave you orphans.” “My peace I give to you.”
These are not ancient words. They are present words. Living words. Words for your situation, your struggle, your fear, your hopes, your questions.
Jesus is not far away. He is near. He is speaking still. And He is guiding you home.
John 14 is not the chapter you read once. It is the chapter you return to every time your heart trembles.
It is the chapter where Jesus becomes your anchor… your peace… your home.
And today, He invites you to believe Him again.
Watch Douglas Vandergraph’s inspiring faith-based videos on YouTube.
#John14 #JesusIsTheWay #Faith #BibleStudy #ChristianEncouragement #PeaceInChrist #HolySpirit #HopeInJesus
— Douglas Vandergraph
from Faith & Doubt
“So what do you do?”
“I'm just a teacher,” Sarah said, that familiar apologetic tone creeping into her voice. “I mean, I'm not in ministry or anything. Just working a regular job.”
I've heard variations of this conversation dozens of times. The youth pastor introducing himself at a church gathering gets knowing nods and interested questions. Sarah gets a polite smile and a pivot to someone else. There's an unspoken hierarchy at work, a quiet assumption that some callings matter more to God than others.
We've created a two-tiered system in the modern church: the sacred and the secular, the spiritual and the ordinary, those in “full-time ministry” and everyone else. And for most Christians, this divide doesn't just affect how they introduce themselves at church—it shapes how they view 40, 50, 60 hours of their week. If your work isn't “ministry work,” is it really a calling at all?
Walk into most evangelical churches and you'll feel it. Missionaries receive special commissioning services. Pastoral staff get offices with their names on the door. Meanwhile, the software engineer, the nurse, the small business owner—they're appreciated for their tithes and their availability to volunteer, but their daily work? That's just what pays the bills.
This isn't a new problem. In fact, it's an old problem that we thought we'd solved five hundred years ago.
When Martin Luther nailed his theses to the church door in Wittenberg, he wasn't just challenging indulgences. He was dismantling an entire worldview that had divided humanity into spiritual athletes (monks, priests, nuns) and everyone else.
Luther's doctrine of vocation was radical: a dairy maid milking cows to the glory of God was doing work just as sacred as a monk praying in his cell. In fact, Luther argued, the maid was probably doing more good for her neighbor. Here was a seismic shift—every legitimate calling, every honest profession, was holy ground.
This wasn't just abstract theology. It reshaped society. Suddenly, ordinary work mattered. The cobbler could see his craft as service to God. The magistrate could govern as a divine calling. Work wasn't merely a distraction from the spiritual life; it was central to it.
But somewhere between then and now, we've drifted back. We've recreated the very categories the Reformers worked to dismantle.
When we turn to Scripture, we don't find a sacred-secular divide. We find something much richer.
Work existed before sin entered the world. In Genesis 1-2, before the fall, God places humanity in a garden to work it and keep it. The cultural mandate—to fill the earth, to cultivate and create—was given in paradise. Work isn't part of the curse; only its frustration and futility are. This means work itself is woven into God's good design for human flourishing.
God cares about all our work. Paul's instruction in Colossians 3:23-24 doesn't come with a list of approved professions: “Whatever you do, work heartily, as for the Lord and not for men, knowing that from the Lord you will receive the inheritance as your reward.” Whatever you do. The spreadsheet. The sales call. The surgical procedure. The legal brief.
Calling isn't just about career. In 1 Corinthians 7, Paul uses “calling” language not primarily for jobs but for life situations—married or single, slave or free. His surprising advice? “Each person should remain in the situation they were in when God called them” (v. 20). There's no assumption that becoming a Christian means leaving your work behind unless that work itself is inherently sinful.
Scripture celebrates diverse vocations. Look at the variety of callings God honors: Joseph the administrator, Daniel the government official, Lydia the businesswoman, Luke the physician, Paul the tentmaker. Even Jesus spent most of his earthly life as a carpenter, not a traveling preacher. God doesn't just tolerate these professions—he orchestrates them, uses them, sanctifies them.
I know the objections because I've felt them myself.
“Doesn't Jesus call us to leave everything and follow him?” Yes, he does (Matthew 19:29, Luke 14:33). But notice what the disciples left—they left their nets to become fishers of men, but Peter still owned a house. Luke left his practice to travel with Jesus, but he used his medical skills along the way. The call to discipleship is absolute, but it doesn't always mean abandoning your profession. Sometimes it means transforming how you approach it.
“Isn't evangelism the main thing?” Sharing the gospel is certainly central to Christian life. But here's the paradox: faithful, excellent work often creates the platform and credibility for gospel witness in ways that abandoning your profession might not. The engineer who serves her colleagues with integrity, the teacher who pours into his students with genuine care—they're living apologetics. Their work becomes witness not despite being ordinary, but precisely because it is.
“What about morally ambiguous industries?” This is a real question, and I won't pretend it's simple. Some work is clearly incompatible with Christian faithfulness. But most work exists in that complex middle space where wisdom, discernment, and community input matter. The bartender, the defense attorney, the marketing executive—these require thoughtful engagement, not blanket dismissals. The doctrine of vocation doesn't eliminate moral reasoning; it elevates the importance of thinking carefully about our work.
When Christians truly embrace the sacredness of ordinary work, everything shifts.
Monday morning looks different. That budget report isn't just bureaucratic busywork—it's stewarding resources God has entrusted to your organization. The difficult conversation with a colleague isn't a distraction from “spiritual” things—it's an opportunity to embody Christlike patience and truth-telling. You're not waiting for Sunday to do something that matters; you're already in the thick of your calling.
Career decisions get reframed. Not every Christian needs to be angling toward “ministry.” If you're gifted in finance, skilled in medicine, passionate about education—these aren't consolation prizes. They might be exactly where God wants you, not as a holding pattern until you figure out your “real” calling, but as the calling itself.
Church culture becomes more honest. Imagine a church where the entrepreneur is honored for business integrity the way we honor missionaries for their sacrifice. Where the stay-at-home parent's work is celebrated as genuine ministry. Where “So what do you do?” is asked with genuine curiosity about how God is at work in every corner of his world. Serving in a ministry no longer feels like a sacred extension out of the hours from “secular” work.
Our witness expands. When Christians see their work as sacred, they don't retreat from the world—they engage it with excellence, creativity, and integrity. They become salt and light not by escaping into Christian subcultures but by being faithfully present in every sphere of society.
Here's why this matters for apologetics: the sacred-secular divide doesn't just harm Christians—it undermines our witness to the world.
When we suggest that only “religious” work really matters to God, we imply that God doesn't care about most of human life. We make him seem small, interested only in a narrow slice of existence. But the Christian story is bigger than that. It claims that the God who became incarnate cares about all of creation, that nothing human is outside his concern.
When Christians live as though their ordinary work is sacred—when they pursue excellence not for personal advancement but as an act of worship, when they serve their neighbors through their professions, when they work for human flourishing in a thousand quiet ways—they bear witness to a God who is at work in all of life.
The teacher who shapes young minds with patience and wisdom, the architect who designs spaces for human flourishing, the small business owner who treats employees with dignity—they're all doing apologetics. They're showing that the Christian faith doesn't require us to escape the world but to engage it fully, faithfully, gratefully.
So when Sarah says “I'm just a teacher,” something in me wants to stop her mid-sentence.
You're not “just” anything. You're a woman called by God to shape the next generation. You're teaching children to read, to think, to wonder. You're bearing witness to a God who values truth and beauty and human development. You're working in one of the most sacred spaces there is—the formation of young souls.
Your work isn't a distraction from your calling. It is your calling.
And that changes everything.
from
Human in the Loop

The synthetic content flooding our digital ecosystem has created an unprecedented crisis in trust, one that researchers are racing to understand whilst policymakers scramble to regulate. In 2024 alone, shareholder proposals centred on artificial intelligence surged from four to nineteen, a nearly fivefold increase that signals how seriously corporations are taking the implications of AI-generated content. Meanwhile, academic researchers have identified hallucination rates in large language models ranging from 1.3% in straightforward tasks to over 16% in legal text generation, raising fundamental questions about the reliability of systems that millions now use daily.
The landscape of AI-generated content research has crystallised around four dominant themes: trust, accuracy, ethics, and privacy. These aren't merely academic concerns. They're reshaping how companies structure board oversight, how governments draft legislation, and how societies grapple with an information ecosystem where the line between human and machine authorship has become dangerously blurred.
The challenge isn't simply that AI systems make mistakes. It's that they make mistakes with unwavering confidence, a phenomenon that cuts to the heart of why trust in AI-generated content has emerged as a primary research focus.
Scientists at multiple institutions have documented what they call “AI's impact on public perception and trust in digital content”, finding that people struggle remarkably at distinguishing between AI-generated and human-created material. In controlled studies, participants achieved only 59% accuracy when attempting to identify AI-generated misinformation, barely better than chance. This finding alone justifies the research community's intense focus on trust mechanisms.
The rapid advance of generative AI has transformed how knowledge is created and circulates. Synthetic content is now produced at a pace that tests the foundations of shared reality, accelerating what was once a slow erosion of trust. When OpenAI's systems, Google's Gemini, and Microsoft's Copilot all proved unreliable in providing election information during 2024's European elections, the implications extended far beyond technical limitations. These failures raised fundamental questions about the role such systems should play in democratic processes.
Research from the OECD on rebuilding digital trust in the age of AI emphasises that whilst AI-driven tools offer opportunities for enhancing content personalisation and accessibility, they have raised significant concerns regarding authenticity, transparency, and trustworthiness. The Organisation for Economic Co-operation and Development's analysis suggests that AI-generated content, deepfakes, and algorithmic bias are contributing to shifts in public perception that may prove difficult to reverse.
Perhaps most troubling, researchers have identified what they term “the transparency dilemma”. A 2025 study published in ScienceDirect found that disclosure of AI involvement in content creation can actually erode trust rather than strengthen it. Users confronted with transparent labelling of AI-generated content often become more sceptical, not just of the labelled material but of unlabelled content as well. This counterintuitive finding suggests that simple transparency measures, whilst ethically necessary, may not solve the trust problem and could potentially exacerbate it.
If trust is the what, accuracy is the why. Research into the factual reliability of AI-generated content has uncovered systemic issues that challenge the viability of these systems for high-stakes applications.
The term “hallucination” has become central to academic discourse on AI accuracy. These aren't occasional glitches but fundamental features of how large language models operate. AI systems generate responses probabilistically, constructing text based on statistical patterns learned from vast datasets rather than from any direct understanding of factual accuracy. A comprehensive review published in Nature Humanities and Social Sciences Communications conducted empirical content analysis on 243 instances of distorted information collected from ChatGPT, systematically categorising the types of errors these systems produce.
The mathematics behind hallucinations paint a sobering picture. Researchers have demonstrated that “it is impossible to eliminate hallucination in LLMs” because these systems “cannot learn all of the computable functions and will therefore always hallucinate”. This isn't a temporary engineering problem awaiting a clever solution. It's a fundamental limitation arising from the architecture of these systems.
Current estimates suggest hallucination rates may be between 1.3% and 4.1% in tasks such as text summarisation, whilst other research reports rates ranging from 1.4% in speech recognition to over 16% in legal text generation. The variance itself is revealing. In domains requiring precision, such as law or medicine, the error rates climb substantially, precisely where the consequences of mistakes are highest.
Experimental research has explored whether forewarning about hallucinations might mitigate misinformation acceptance. An online experiment with 208 Korean adults demonstrated that AI hallucination forewarning reduced misinformation acceptance significantly, with particularly strong effects among individuals with high preference for effortful thinking. However, this finding comes with a caveat. It requires users to engage critically with content, an assumption that may not hold across diverse populations or contexts where time pressure and cognitive load are high.
The detection challenge compounds the accuracy problem. Research comparing ten popular AI-detection tools found sensitivity ranging from 0% to 100%, with five software programmes achieving perfect accuracy whilst others performed at chance levels. When applied to human-written control responses, the tools exhibited inconsistencies, producing false positives and uncertain classifications. As of mid-2024, no detection service has been able to conclusively identify AI-generated content at a rate better than random chance.
Even more concerning, AI detection tools were more accurate at identifying content generated by GPT 3.5 than GPT 4, indicating that newer AI models are harder to detect. When researchers fed content through GPT 3.5 to paraphrase it, the accuracy of detection dropped by 54.83%. The arms race between generation and detection appears asymmetric, with generators holding the advantage.
OpenAI's own classifier illustrates the challenge. It accurately identifies only 26% of AI-written text as “likely AI-generated” whilst incorrectly labelling 9% of human-written text as AI-generated. Studies have universally found current models of AI detection to be insufficiently accurate for use in academic integrity cases, a conclusion with profound implications for educational institutions, publishers, and employers.
Whilst trust and accuracy dominate practitioner research, ethics has emerged as the primary concern in academic literature. The ethical dimensions of AI-generated content extend far beyond abstract principles, touching on discrimination, accountability, and fundamental questions about human agency.
Algorithmic bias represents perhaps the most extensively researched ethical concern. AI models learn from training data that may include stereotypes and biased representations, which can appear in outputs and raise serious concerns when customers or employees are treated unequally. The consequences are concrete and measurable. Amazon ceased using an AI hiring algorithm in 2018 after discovering it discriminated against women by preferring words more commonly used by men in résumés. In February 2024, Workday faced accusations of facilitating widespread bias in a novel AI lawsuit.
The regulatory response has been swift. In May 2024, Colorado became the first U.S. state to enact legislation addressing algorithmic bias, with the Colorado AI Act establishing rules for developers and deployers of AI systems, particularly those involving employment, healthcare, legal services, or other high-risk categories. Senator Ed Markey introduced the AI Civil Rights Act in September 2024, aiming to “put strict guardrails on companies' use of algorithms for consequential decisions” and ensure algorithms are tested before and after deployment.
Research on ethics in AI-enabled recruitment practices, published in Nature Humanities and Social Sciences Communications, documented how algorithmic discrimination occurs when AI systems perpetuate and amplify biases, leading to unequal treatment for different groups. The study emphasised that algorithmic bias results in discriminatory hiring practices based on gender, race, and other factors, stemming from limited raw data sets and biased algorithm designers.
Transparency emerges repeatedly as both solution and problem in the ethics literature. A primary concern identified across multiple studies is the lack of clarity about content origins. Without clear disclosure, consumers may unknowingly engage with machine-produced content, leading to confusion, mistrust, and credibility breakdown. Yet research also reveals the complexity of implementing transparency. A full article in Taylor & Francis's journal on AI ethics emphasised the integration of transparency, fairness, and privacy in AI development, noting that these principles often exist in tension rather than harmony.
The question of accountability proves particularly thorny. When AI-generated content causes harm, who bears responsibility? The developer who trained the model? The company deploying it? The user who prompted it? Research integrity guidelines have attempted to establish clear lines, with the University of Virginia's compliance office emphasising that “authors are fully responsible for manuscript content produced by AI tools and must be transparent in disclosing how AI tools were used in writing, image production, or data analysis”. Yet this individual accountability model struggles to address systemic harms or the diffusion of responsibility across complex technical and organisational systems.
Privacy concerns in AI-generated content research cluster around two distinct but related issues: the data used to train systems and the synthetic content they produce.
The training data problem is straightforward yet intractable. Generative AI systems require vast datasets, often scraped from public and semi-public sources without explicit consent from content creators. This raises fundamental questions about data ownership, compensation, and control. The AFL-CIO filed annual general meeting proposals demanding greater transparency on AI at five entertainment companies, including Apple, Netflix, and Disney, precisely because of concerns about how their members' creative output was being used to train commercial AI systems.
The use of generative AI tools often requires inputting data into external systems, creating risks that sensitive information like unpublished research, patient records, or business documents could be stored, reused, or exposed without consent. Research institutions and corporations have responded with policies restricting what information can be entered into AI systems, but enforcement remains challenging, particularly as AI tools become embedded in standard productivity software.
The synthetic content problem is more subtle. The rise of synthetic content raises societal concerns including identity theft, security risks, privacy violations, and ethical issues such as facilitating undetectable cheating and fraud. Deepfakes targeting political leaders during 2024's elections demonstrated how synthetic media can appropriate someone's likeness and voice without consent, a violation of privacy that existing legal frameworks struggle to address.
Privacy research has also identified what scholars call “model collapse”, a phenomenon where AI generators retrain on their own content, causing quality deterioration. This creates a curious privacy concern. As more synthetic content floods the internet, future AI systems trained on this polluted dataset may inherit and amplify errors, biases, and distortions. The privacy of human-created content becomes impossible to protect when it's drowned in an ocean of synthetic material.
The Coalition for Content Provenance and Authenticity, known as C2PA, represents one technical approach to these privacy challenges. The standard associates metadata such as author, date, and generative system with content, protected with cryptographic keys and combined with robust digital watermarks. However, critics argue that C2PA “relies on embedding provenance data within the metadata of digital files, which can easily be stripped or swapped by bad actors”. Moreover, C2PA itself creates privacy concerns. One criticism is that it can compromise the privacy of people who sign content with it, due to the large amount of metadata in the digital labels it creates.
The research themes of trust, accuracy, ethics, and privacy haven't remained confined to academic journals. They're reshaping corporate governance in measurable ways, driven by shareholder pressure, regulatory requirements, and board recognition of AI-related risks.
The transformation has been swift. Analysis by ISS-Corporate found that the percentage of S&P 500 companies disclosing some level of board oversight of AI soared more than 84% between 2023 and 2024, and more than 150% from 2022 to 2024. By 2024, more than 31% of the S&P 500 disclosed some level of board oversight of AI, a figure that would have been unthinkable just three years earlier.
The nature of oversight has also evolved. Among companies that disclosed the delegation of AI oversight to specific committees or the full board in 2024, the full board emerged as the top choice. In previous years, the majority of responsibility was given to audit and risk committees. This shift suggests boards are treating AI as a strategic concern rather than merely a technical or compliance issue.
Shareholder proposals have driven much of this change. For the first time in 2024, shareholders asked for specific attributions of board responsibilities aimed at improving AI oversight, as well as disclosures related to the social implications of AI use on the workforce. The media and entertainment industry saw the highest number of proposals, including online platforms and interactive media, due to serious implications for the arts, content generation, and intellectual property.
Glass Lewis, a prominent proxy advisory firm, updated its 2025 U.S. proxy voting policies to address AI oversight. Whilst the firm typically avoids voting recommendations on AI oversight, it stated it may act if poor oversight or mismanagement of AI leads to significant harm to shareholders. In such cases, Glass Lewis will assess board governance, review the board's response, and consider recommending votes against directors if oversight or management of AI issues is found lacking.
This evolution reflects research findings filtering into corporate decision-making. Boards are responding to documented concerns about trust, accuracy, ethics, and privacy by establishing oversight structures, demanding transparency from management, and increasingly viewing AI governance as a fiduciary responsibility. The research-to-governance pipeline is functioning, even if imperfectly.
If corporate governance represents the private sector's response to AI-generated content research, regulation represents the public sector's attempt to codify standards and enforce accountability.
The European Union's AI Act stands as the most comprehensive regulatory framework to date. Adopted in March 2024 and entering into force in May 2024, the Act explicitly recognises the potential of AI-generated content to destabilise society and the role AI providers should play in preventing this. Content generated or modified with AI, including images, audio, or video files such as deepfakes, must be clearly labelled as AI-generated so users are aware when they encounter such content.
The transparency obligations are more nuanced than simple labelling. Providers of generative AI must ensure that AI-generated content is identifiable, and certain AI-generated content should be clearly and visibly labelled, namely deepfakes and text published with the purpose to inform the public on matters of public interest. Deployers who use AI systems to create deepfakes are required to clearly disclose that the content has been artificially created or manipulated by labelling the AI output as such and disclosing its artificial origin, with an exception for law enforcement purposes.
The enforcement mechanisms are substantial. Noncompliance with these requirements is subject to administrative fines of up to 15 million euros or up to 3% of the operator's total worldwide annual turnover for the preceding financial year, whichever is higher. The transparency obligations will be applicable from 2 August 2026, giving organisations a two-year transition period.
In the United States, federal action has been slower but state innovation has accelerated. The Content Origin Protection and Integrity from Edited and Deepfaked Media Act, known as the COPIED Act, was introduced by Senators Maria Cantwell, Marsha Blackburn, and Martin Heinrich in July 2024. The bill would set new federal transparency guidelines for marking, authenticating, and detecting AI-generated content, and hold violators accountable for abuses.
The COPIED Act requires the National Institute of Standards and Technology to develop guidelines and standards for content provenance information, watermarking, and synthetic content detection. These standards will promote transparency to identify if content has been generated or manipulated by AI, as well as where AI content originated. Companies providing generative tools capable of creating images or creative writing would be required to attach provenance information or metadata about a piece of content's origin to outputs.
Tennessee enacted the ELVIS Act, which took effect on 1 July 2024, protecting individuals from unauthorised use of their voice or likeness in AI-generated content and addressing AI-generated deepfakes. California's AI Transparency Act became effective on 1 January 2025, requiring providers to offer visible disclosure options, incorporate imperceptible disclosures like digital watermarks, and provide free tools to verify AI-generated content.
International developments extend beyond the EU and U.S. In January 2024, Singapore's Info-communications Media Development Authority issued a Proposed Model AI Governance Framework for Generative AI. In May 2024, the Council of Europe adopted the first international AI treaty, the Framework Convention on Artificial Intelligence and Human Rights, Democracy, and the Rule of Law. China released final Measures for Labeling AI-Generated Content in March 2025, with rules requiring explicit labels as visible indicators that clearly inform users when content is AI-generated, taking effect on 1 September 2025.
The regulatory landscape remains fragmented, creating compliance challenges for organisations operating across multiple jurisdictions. Yet the direction is clear. Research findings about the risks and impacts of AI-generated content are translating into binding legal obligations with meaningful penalties for noncompliance.
For all the research activity, significant methodological limitations constrain our understanding of AI-generated content and its impacts.
The short-term focus problem looms largest. Current studies predominantly focus on short-term interventions rather than longitudinal impacts on knowledge transfer, behaviour change, and societal adaptation. A comprehensive review in Smart Learning Environments noted that randomised controlled trials comparing AI-generated content writing systems with traditional instruction remain scarce, with most studies exhibiting methodological limitations including self-selection bias and inconsistent feedback conditions.
Significant research gaps persist in understanding optimal integration mechanisms for AI-generated content tools in cross-disciplinary contexts. Research methodologies require greater standardisation to facilitate meaningful cross-study comparisons. When different studies use different metrics, different populations, and different AI systems, meta-analysis becomes nearly impossible and cumulative knowledge building is hindered.
The disruption of established methodologies presents both challenge and opportunity. Research published in Taylor & Francis's journal on higher education noted that AI is starting to disrupt established methodologies, ethical paradigms, and fundamental principles that have long guided scholarly work. GenAI tools that fill in concepts or interpretations for authors can fundamentally change research methodology, and the use of GenAI as a “shortcut” can lead to degradation of methodological rigour.
The ecological validity problem affects much of the research. Studies conducted in controlled laboratory settings may not reflect how people actually interact with AI-generated content in natural environments where context, motivation, and stakes vary widely. Research on AI detection tools, for instance, typically uses carefully curated datasets that may not represent the messy reality of real-world content.
Sample diversity remains inadequate. Much research relies on WEIRD populations, those from Western, Educated, Industrialised, Rich, and Democratic societies. How findings generalise to different cultural contexts, languages, and socioeconomic conditions remains unclear. The experiment with Korean adults on hallucination forewarning, whilst valuable, cannot be assumed to apply universally without replication in diverse populations.
The moving target problem complicates longitudinal research. AI systems evolve rapidly, with new models released quarterly that exhibit different behaviours and capabilities. Research on GPT-3.5 may have limited relevance by the time GPT-5 arrives. This creates a methodological dilemma. Should researchers study cutting-edge systems that will soon be obsolete, or older systems that no longer represent current capabilities?
Interdisciplinary integration remains insufficient. Research on AI-generated content spans computer science, psychology, sociology, law, media studies, and numerous other fields, yet genuine interdisciplinary collaboration is rarer than siloed work. Technical researchers may lack expertise in human behaviour, whilst social scientists may not understand the systems they're studying. The result is research that addresses pieces of the puzzle without assembling a coherent picture.
The question of how research can produce more actionable guidance has become central to discussions among both academics and practitioners. Several promising directions have emerged.
Sector-specific research represents one crucial path forward. The House AI Task Force report, released in late 2024, offers “a clear, actionable blueprint for how Congress can put forth a unified vision for AI governance”, with sector-specific regulation and incremental approaches as key philosophies. Different sectors face distinct challenges. Healthcare providers need guidance on AI-generated clinical notes that differs from what news organisations need regarding AI-generated articles. Research that acknowledges these differences and provides tailored recommendations will prove more useful than generic principles.
Convergence Analysis conducted rapid-response research on emerging AI governance developments, generating actionable recommendations for reducing harms from AI. This model of responsive research, which engages directly with policy processes as they unfold, may prove more influential than traditional academic publication cycles that can stretch years from research to publication.
Technical frameworks and standards translate high-level principles into actionable guidance for AI developers. Guidelines that provide specific recommendations for risk assessment, algorithmic auditing, and ongoing monitoring give organisations concrete steps to implement. The National Institute of Standards and Technology's development of standards for content provenance information, watermarking, and synthetic content detection exemplifies this approach.
Participatory research methods that involve stakeholders in the research process can enhance actionability. When the people affected by AI-generated content, including workers, consumers, and communities, participate in defining research questions and interpreting findings, the resulting guidance better reflects real-world needs and constraints.
Rapid pilot testing and iteration, borrowed from software development, could accelerate the translation of research into practice. Rather than waiting for definitive studies, organisations could implement provisional guidance based on preliminary findings, monitor outcomes, and adjust based on results. This requires comfort with uncertainty and commitment to ongoing learning.
Transparency about limitations and unknowns may paradoxically enhance actionability. When researchers clearly communicate what they don't know and where evidence is thin, practitioners can make informed judgements about where to apply caution and where to proceed with confidence. Overselling certainty undermines trust and ultimately reduces the practical impact of research.
The development of evaluation frameworks that organisations can use to assess their own AI systems represents another actionable direction. Rather than prescribing specific technical solutions, research can provide validated assessment tools that help organisations identify risks and measure progress over time.
As the volume of AI-generated content continues to grow exponentially, research priorities must evolve to address emerging challenges whilst closing existing knowledge gaps.
Model collapse deserves urgent attention. As one researcher noted, when AI generators retrain on their own content, “quality deteriorates substantially”. Understanding the dynamics of model collapse, identifying early warning signs, and developing strategies to maintain data quality in an increasingly synthetic information ecosystem should be top priorities.
The effectiveness of labelling and transparency measures requires rigorous evaluation. Research questioning the effectiveness of visible labels and audible warnings points to low fitness levels due to vulnerability to manipulation and inability to address wider societal impacts. Whether current transparency approaches actually work, for whom, and under what conditions remains inadequately understood.
Cross-cultural research on trust and verification behaviours would illuminate whether findings from predominantly Western contexts apply globally. Different cultures may exhibit different levels of trust in institutions, different media literacy levels, and different expectations regarding disclosure and transparency.
Longitudinal studies tracking how individuals, organisations, and societies adapt to AI-generated content over time would capture dynamics that cross-sectional research misses. Do people become better at detecting synthetic content with experience? Do trust levels stabilise or continue to erode? How do verification practices evolve?
Research on hybrid systems that combine human judgement with automated detection could identify optimal configurations. Neither humans nor machines excel at detecting AI-generated content in isolation, but carefully designed combinations might outperform either alone.
The economics of verification deserves systematic analysis. Implementing robust provenance tracking, conducting regular algorithmic audits, and maintaining oversight structures all carry costs. Research examining the cost-benefit tradeoffs of different verification approaches would help organisations allocate resources effectively.
Investigation of positive applications and beneficial uses of AI-generated content could balance the current emphasis on risks and harms. AI-generated content offers genuine benefits for accessibility, personalisation, creativity, and efficiency. Research identifying conditions under which these benefits can be realised whilst minimising harms would provide constructive guidance.
The themes dominating research into AI-generated content reflect genuine concerns about trust, accuracy, ethics, and privacy in an information ecosystem fundamentally transformed by machine learning. These aren't merely academic exercises. They're influencing how corporate boards structure oversight, how shareholders exercise voice, and how governments craft regulation.
Yet methodological gaps constrain our understanding. Short-term studies, inadequate sample diversity, lack of standardisation, and the challenge of studying rapidly evolving systems all limit the actionability of current research. The path forward requires sector-specific guidance, participatory methods, rapid iteration, and honest acknowledgement of uncertainty.
The percentage of companies providing disclosure of board oversight increasing by more than 84% year-over-year demonstrates that research is already influencing governance. The European Union's AI Act, with fines up to 15 million euros for noncompliance, shows research shaping regulation. The nearly fivefold increase in AI-related shareholder proposals reveals stakeholders demanding accountability.
The challenge isn't a lack of research but the difficulty of generating actionable guidance for a technology that evolves faster than studies can be designed, conducted, and published. As one analysis concluded, “it is impossible to eliminate hallucination in LLMs” because these systems “cannot learn all of the computable functions”. This suggests a fundamental limit to what technical solutions alone can achieve.
Perhaps the most important insight from the research landscape is that AI-generated content isn't a problem to be solved but a condition to be managed. The goal isn't perfect detection, elimination of bias, or complete transparency, each of which may prove unattainable. The goal is developing governance structures, verification practices, and social norms that allow us to capture the benefits of AI-generated content whilst mitigating its harms.
The research themes that dominate today, trust, accuracy, ethics, and privacy, will likely remain central as the technology advances. But the methodological approaches must evolve. More longitudinal studies, greater cultural diversity, increased interdisciplinary collaboration, and closer engagement with policy processes will enhance the actionability of future research.
The information ecosystem has been fundamentally altered by AI's capacity to generate plausible-sounding content at scale. We cannot reverse this change. We can only understand it better, govern it more effectively, and remain vigilant about the trust, accuracy, ethics, and privacy implications that research has identified as paramount. The synthetic age has arrived. Our governance frameworks are racing to catch up.
Coalition for Content Provenance and Authenticity (C2PA). (2024). Technical specifications and implementation challenges. Linux Foundation. Retrieved from https://www.linuxfoundation.org/blog/how-c2pa-helps-combat-misleading-information
European Parliament. (2024). EU AI Act: First regulation on artificial intelligence. Topics. Retrieved from https://www.europarl.europa.eu/topics/en/article/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence
Glass Lewis. (2024). 2025 U.S. proxy voting policies: Key updates on AI oversight and board responsiveness. Winston & Strawn Insights. Retrieved from https://www.winston.com/en/insights-news/pubco-pulse/
Harvard Law School Forum on Corporate Governance. (2024). Next-gen governance: AI's role in shareholder proposals. Retrieved from https://corpgov.law.harvard.edu/2024/05/06/next-gen-governance-ais-role-in-shareholder-proposals/
Harvard Law School Forum on Corporate Governance. (2025). AI in focus in 2025: Boards and shareholders set their sights on AI. Retrieved from https://corpgov.law.harvard.edu/2025/04/02/ai-in-focus-in-2025-boards-and-shareholders-set-their-sights-on-ai/
ISS-Corporate. (2024). Roughly one-third of large U.S. companies now disclose board oversight of AI. ISS Governance Insights. Retrieved from https://insights.issgovernance.com/posts/roughly-one-third-of-large-u-s-companies-now-disclose-board-oversight-of-ai-iss-corporate-finds/
Kar, S.K., Bansal, T., Modi, S., & Singh, A. (2024). How sensitive are the free AI-detector tools in detecting AI-generated texts? A comparison of popular AI-detector tools. Indian Journal of Psychiatry. Retrieved from https://journals.sagepub.com/doi/10.1177/02537176241247934
Mozilla Foundation. (2024). In transparency we trust? Evaluating the effectiveness of watermarking and labeling AI-generated content. Research Report. Retrieved from https://www.mozillafoundation.org/en/research/library/in-transparency-we-trust/research-report/
Nature Humanities and Social Sciences Communications. (2024). AI hallucination: Towards a comprehensive classification of distorted information in artificial intelligence-generated content. Retrieved from https://www.nature.com/articles/s41599-024-03811-x
Nature Humanities and Social Sciences Communications. (2024). Ethics and discrimination in artificial intelligence-enabled recruitment practices. Retrieved from https://www.nature.com/articles/s41599-023-02079-x
Nature Scientific Reports. (2025). Integrating AI-generated content tools in higher education: A comparative analysis of interdisciplinary learning outcomes. Retrieved from https://www.nature.com/articles/s41598-025-10941-y
OECD.AI. (2024). Rebuilding digital trust in the age of AI. Retrieved from https://oecd.ai/en/wonk/rebuilding-digital-trust-in-the-age-of-ai
PMC. (2024). Countering AI-generated misinformation with pre-emptive source discreditation and debunking. Retrieved from https://pmc.ncbi.nlm.nih.gov/articles/PMC12187399/
PMC. (2024). Enhancing critical writing through AI feedback: A randomised control study. Retrieved from https://pmc.ncbi.nlm.nih.gov/articles/PMC12109289/
PMC. (2025). Generative artificial intelligence and misinformation acceptance: An experimental test of the effect of forewarning about artificial intelligence hallucination. Cyberpsychology, Behavior, and Social Networking. Retrieved from https://pubmed.ncbi.nlm.nih.gov/39992238/
ResearchGate. (2024). AI's impact on public perception and trust in digital content. Retrieved from https://www.researchgate.net/publication/387089520_AI'S_IMPACT_ON_PUBLIC_PERCEPTION_AND_TRUST_IN_DIGITAL_CONTENT
ScienceDirect. (2025). The transparency dilemma: How AI disclosure erodes trust. Retrieved from https://www.sciencedirect.com/science/article/pii/S0749597825000172
Smart Learning Environments. (2025). Artificial intelligence, generative artificial intelligence and research integrity: A hybrid systemic review. SpringerOpen. Retrieved from https://slejournal.springeropen.com/articles/10.1186/s40561-025-00403-3
Springer Ethics and Information Technology. (2024). AI content detection in the emerging information ecosystem: New obligations for media and tech companies. Retrieved from https://link.springer.com/article/10.1007/s10676-024-09795-1
Stanford Cyber Policy Center. (2024). Regulating under uncertainty: Governance options for generative AI. Retrieved from https://cyber.fsi.stanford.edu/content/regulating-under-uncertainty-governance-options-generative-ai
Taylor & Francis. (2025). AI ethics: Integrating transparency, fairness, and privacy in AI development. Retrieved from https://www.tandfonline.com/doi/full/10.1080/08839514.2025.2463722
Taylor & Francis. (2024). AI and its implications for research in higher education: A critical dialogue. Retrieved from https://www.tandfonline.com/doi/full/10.1080/07294360.2023.2280200
U.S. Senate. (2024). Cantwell, Blackburn, Heinrich introduce legislation to combat AI deepfakes. Senate Commerce Committee. Retrieved from https://www.commerce.senate.gov/2024/7/cantwell-blackburn-heinrich-introduce-legislation-to-combat-ai-deepfakes-put-journalists-artists-songwriters-back-in-control-of-their-content
U.S. Senator Ed Markey. (2024). Senator Markey introduces AI Civil Rights Act to eliminate AI bias. Press Release. Retrieved from https://www.markey.senate.gov/news/press-releases/senator-markey-introduces-ai-civil-rights-act-to-eliminate-ai-bias
Future of Life Institute. (n.d.). U.S. legislative trends in AI-generated content: 2024 and beyond. Retrieved from https://fpf.org/blog/u-s-legislative-trends-in-ai-generated-content-2024-and-beyond/

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
from
TechZerker
I have felt inspired by Joel Chrono to try my hand at weeknotes here on my corner of the web. Somewhat inconsistently I’ve already kept brief notes in similar fashion for a while, as part of my organization and notes system on index cards (detailing that will be its own series of posts!), so this feels like a natural evolution for the shareable daily life stuff.
I started working on a bit of an evolution to how I am archiving my daily notes in my index cards system, inspired by ✱Forever Notes✱, I might even use photos of index cards into an actual Apple Notes system of the same design as my backup.
Continued my fights and adventures with Microsoft Intune and Autopilot at work this week. Overall it has gone very well, to get a clear start and image, we’re factory resetting existing laptops a few at a time and setting them up via Autopilot. The only hitch was few laptops have corrupt restore file before the option to cloud download vs local files...so they need a USB Windows 11 re-install/repair...and we’re work from home based.
Had a bit more time for some gaming later this week, the house is emptier than normal with some trips and travel, so managed to squeeze in a bit of gaming, which in general has been harder to come by.
I have a FiiO Echo Mini for a portable music player, and it’s an awesome little device for what little I’ve used it for so far. I am still working on building out some playlists now that I have all my music in better hi-res Flac formats.
Finished up some winter prep tasks outdoors, as I am on an acreage in northern Ontario. Had a few more things to put away around the yard, cover to stretch over old RV Trailer, and pre-winter checks on the Jeep.
Not a huge volume of reading this past week, but I managed at least better consistency than in the past:
Daily Stoic: 366 Meditations – I long since lost track reading daily, but am making progress, finished the dailies in May and got up to about June 10th, with some good notes captured along the way.
Buy Back Your Time – I am corporate IT, not an entrepreneur, but this has been a good read so far, as plenty still applies. I am still not far into the book, about page 55, but managed a lot of that in this past week after it sat to the side for weeks.
As mentioned, in general I have not had (or made time) for a lot of gaming, that is something I am working on, but made a bit more time this week for some progress, so this is at least what I touched on:
Need for Speed: Payback (PS5)
This game in the Need for Speed franchise has been a slow burn for me, I’be been playing it a bit on and off for probably two years, but keep enjoying it for the not-so-simulation driving mayhem it offers, but hey, it lets me have some really fun classic cars, I’ll get some pictures for the next time I write about it.
God of War: Ragnarok (PS5)
I started this finally on Friday, it came bundled with my PS5 when purchased, but I never got around to playing it. Granted, I have never played the other God of War games, but was always interested in the concept. They have a cool recap on the main menu that tries to summarize the story (ish) enough to have a starting point. Managed a few hours and had a blast, so I’ll keep playing this yet.
Banished (PC)
Banished is now an older game by comparison, came out back at the start of my post-university career, but one I return too often to start new games and just relax with the early survival building stages. I’ve always enjoyed their music track, and while it is too slow for some, I enjoy playing it on 1X speed and just letting the people mill about their lives, and the graphics still hold up incredible. Of note, this is played on PC via Steam on my Fedora 42 Workstation.
I don’t know to what consistency I’ll keep this section, but currently I sometimes capture what I’ve watched, in which case it has a place.
Grand Tour
Mostly while working on some notes in the evening, I worked this week through some fun re-watches of some season 3 and 4 episodes of The Grand Tour. I started with the Mongolia special, which is just an amazing episode, and a cool way to see that country. I followed it up with the first two season 4 episodes (after they went to road specials only), covering boats in Vietnam, and then driving incredibly rough roads of Madagascar in search of treasure. They’re always fun to re-watch with the antics of the old Top Gear gang.
This section is a pretty straight copy from Joel, depending on the week I may read a bunch online, or watch a bunch of video’s, and sometimes not so much.
52 Weeknotes Later – I had already come across his weeknotes earlier to plant the idea, but this post and some of it’s linked posts helped push me to give this a try.
Why I Remain a Skeptic Despite Working in Tech – Interesting read I generally agree with, I likewise work in Tech, have precisely one automated light bulb and live heavily on paper and Index Cards. Granted, I am fairly invested in the Apple Ecosystem these days. Food for thought for me to write on later!
This Practice Will Put You Ahead of 99% of People: Matt Ragland – I will admit, my entry to this video was mostly seeing Index Cards in use, much like my notes and system, but it was a good entry point for some reminders and improvements on my system, and avoid perfection.
Five Life Changing Journal Techniques: Matt Ragland – This was a follow-on link at the end of the video above, but likewise, right up my alley. It was a good reminder however of useful and healthy methods for journalling, many I intend to trial and implement further.
Don’t Set a Goal for 2026 Until You Watch This: Bullet Journal – I started my journey back into paper with Bullet Journalling, before shifting into Index Cards, but with a lot of bullet journal concepts in my design. This video had some great learning on Intentional Goals, instead of shoulding yourself goals.
I would say there we have it, for the first published weeknotes, it feels like it was a bit on the long side, but it’s also nice to have a reflection around the week as it blows by rapidly! I enjoy that it got me to spend some time writing, one of the activities I want to partake more in.
from
Roscoe's Story
In Summary: * Arthritis aches, clumsiness, and soreness more significant today than normal. The wife says it's probably because the weather has suddenly turned cooler. She may be right.
Prayers, etc.: * My daily prayers.
Health Metrics: * bw= 219.36 lbs. * bp= 128/81 (65)
Exercise: * kegel pelvic floor exercise, half squats, calf raises, wall push-ups
Diet: * 07:30 – nachos chips with meat and cheese sauce, * 11:30 – sausages, rice pudding, chicken and vegetables * 17:30 – home made stew, white bread and butter
Activities, Chores, etc.: * 06:20 – bank accounts activity monitored * 06:30 – read, pray, listen to news reports from various sources, and nap * 13:00 – following the Colts vs. the Chiefs NFL Game * 16:00 – now following NCAA men's basketball, Howard Bison vs Duke Blue Devils. * 18:30 – follow news reports from various sources. * 19:10 – listen to relaxing music and quietly reading until bedtime.
Chess: * 10:50 – moved in all pending CC games
from Réveil
Many have seen the footage. Far fewer know its tangled backstory.
Is it an early‑2000s hoax or a genuine recording of an unknown craft? The video, also referred to as the Pordenone UFO, has a surprisingly intricate timeline and a long trail of debate behind it.

The video first attracted international attention in 2005, when Italian-American researcher Paola Harris presented a fourth-generation copy at the 36th Annual MUFON International Symposium in Denver, Colorado. Harris, who was then living in Italy, stated that the footage had been supplied by an anonymous source who associated it with the Aviano area. The identity of the original cameraman has never been established, and the severe degradation caused by repeated copying has made detailed analysis difficult.
The video:
The story begins with an anonymous VHS tape.
The footage was allegedly recorded in 2003 near the NATO air base in Aviano, Italy. In 2004, a VHS copy of the video was sent anonymously to the well‑known Italian ufologist Antonio Chiumiento, accompanied by a brief but ominous message:
“Ho paura” (“I am afraid,” in Italian).
The tape was subsequently sent to other Italian ufologists in the following months.

Despite receiving the material in 2004, Chiumiento chose to keep the video confidential at first, allowing time for further analysis. The footage only became public in 2005.
That year, Italian‑American journalist and ufologist Paola Harris presented the video at two major events:
The versions that later circulated on YouTube were largely derived from a DVD of her MUFON presentation.
Harris stated that she received a fourth‑generation copy from an anonymous source claiming it was filmed near Aviano Air Base. She believes the object is likely a terrestrial military prototype, specifically a remotely piloted vehicle, and says analysis in Boulder, Colorado, indicated a real physical object rather than pure CGI. The operator’s precise framing at the moment the object appears is seen as evidence of a planned test rather than a random sighting.
Paola’s statement:
This old video, which I have been showing for three years, was not provided to us, Italian researchers, by the Air Force. It is not one of our technologies. I had the tape analyzed in Hollywood by my friends Rob and Rebecca Gordon, who had the contacts and financial means to do so. This is a seventh-generation cassette tape. It was given to us without explanation. It is a real object that we see in the film. It was shown in my presentations at MUFON and in Laughlin, and then someone uploaded it to YouTube and Google. The video was filmed in the Veneto region, in Italy, in a place called Ponte di Giulio, near the NATO airbase in Aviano. It is a dry riverbed where the military was conducting maneuvers, and the cameraman had set up a tripod and was waiting for the object to emerge from the forest. I doubt that aliens appeared in that location.

In response to growing doubts over the tape’s origins and credibility, Harris published a statement to address the controversy. In summary, she emphasized that:
Harris also described the filming location: a dry riverbed in the Veneto region, near a place called Ponte di Giulio, close to the Aviano NATO air base. According to her, military exercises were being conducted in the area, and the cameraman had set up a tripod, apparently waiting for the object to emerge from the treeline. Despite this, Harris herself expressed skepticism that the object was extraterrestrial, suggesting instead that it might have been some kind of advanced terrestrial technology.
Investigators Antonio Pischiutti and Stefano Saccavino visited the Ponte di Giulio area near Montereale Valcellina (province of Pordenone, Italy) to locate where the UFO video was filmed. They identified the exact spot on the left bank of the Cellina River, under the iron bridge on the SS 251 road. Based on the environment and perspective, they estimated the object was about 150–200 meters from the camera, moved from north‑northwest to south‑southeast, and was roughly 6–8 meters in diameter.
The area is heavily associated with military activity (near Aviano Air Base, test ranges, and a small emergency runway), as well as a nearby hydroelectric structure visible in the footage.
Photo taken by Investigators Antonio Pischiutti and Stefano Saccavino

The investigators noted that the region has a history of alleged anomalous events, including supposed teleportation, a crop circle, a possible abduction, strange lights near Mount Raut, and recurring UFO reports near the Aviano base. They suggest the area might be either a hotspot for “extraterrestrial raids” or a kind of “Dreamland” for exotic military aircraft. They find the footage impressive, especially when the object suddenly darts away, but admit that the object initially looks too sharp and perfect compared to the background, raising doubts.
Aviano Air Base:

Their work, published online and now Archived here.
The investigation focused on:
Pischiutti and Saccavino concluded that the location shown in the footage is consistent with an area near the SS 251 highway, a region of archaeological and military relevance, not far from Aviano Air Base.
Location:

Based on their calculations, they estimated that the object was approximately 6 to 8 meters in diameter. It appeared to move from north‑northwest to south‑southeast, crossing the frame rapidly before disappearing. If genuine, such behavior raises questions about the craft’s propulsion and nature. However, the poor quality of the available footage severely limited their ability to reach definitive conclusions.
In parallel, researcher Giuseppe Garofalo, from the SIRIO Nucleus, examined three different versions of the Aviano video available online. His analysis highlighted several suspicious features, including:
Giuseppe Garofalo analyzed the three versions of the video found online and found inconsistencies and anomalies: transparency effects in the object’s structure, apparent shape changes, odd filters and noise, a brief on‑screen timer, and mismatched lighting. He suspects digital manipulation, possibly involving a small physical model combined with computer graphics.
He concludes that the footage, especially in its online forms, is unreliable, although he argues that without the original video and direct witnesses, it’s premature to dismiss it purely as simple CGI.
One of the more striking fraud claims came from a user known as “onthefence” on the OpenMindsForum (unfortunately, their full analysis appears to have been lost and is not easily retrieved, even via WebArchive).
According to this researcher, the alleged UFO displays a blur pattern that differs significantly from the background. While some took this as evidence of a hastily rendered 3D model, onthefence argued that the discrepancy was more likely related to the contrast difference between the bright object and the darker landscape in the original footage.

Given the very low quality of the early online uploads, he argued that typical “pulsing” artifacts from quick 3D rendering would probably not be visible. Instead, he interpreted the mismatched blur as strong evidence that the saucer and the background were two separate layers: one genuine, one not. In short, the video appears to show a composite image rather than a single, coherent recording.
Despite the fraud accusations, Paola Harris has maintained a different position. When she presented the video at the MUFON Symposium in Denver in 2005, she suggested that the object was likely a remotely controlled military prototype, not an alien spacecraft.
According to Harris, further analysis conducted in Boulder, Colorado, treated the object as a physical craft, not as CGI. A 3D reconstruction by Alberto Forgione supported this, depicting the craft with movable triangular thrusters, implying an advanced, deliberate design rather than a simplistic hoax.
In 2004, the Italian regional TV channel Antenna Tre Nordest, based in Treviso (Veneto region), aired a report on the footage, helping to spread awareness of the case in Italy.
The recording of that news report can be watched here.

Some of the oldest copies of the Aviano UFO video available online today appear to have been uploaded to YouTube nearly two decades ago. You can watch it here.
Over time, various stabilized, enhanced, and zoomed versions have appeared, each adding new layers of interpretation, but not necessarily more clarity.
Stabilized version:
In 2019, a Swiss YouTube channel dedicated to UFO sightings featured an interview with an alleged witness to the Aviano case. The man, an Austrian named Stefan, claimed that he was traveling through Europe with his wife and son when he and his son saw the Aviano UFO at the same time it was filmed from the riverbed. That interview can be watched here.

Stefan asserted that the video is authentic and matches what he personally observed. However, his testimony remains impossible to independently verify. There is no definitive way to confirm whether he genuinely witnessed the event, misinterpreted something, or is simply repeating information he encountered later.
Stefans sketch of the sighting:

In the end, the Aviano UFO case sits in a grey zone.
What we do not have is the original, first‑generation recording or a fully documented chain of custody. The surviving copies are degraded, incomplete, and sometimes modified. This makes a final judgment extremely difficult.
As things stand, we cannot say with absolute certainty whether the Aviano UFO video is a clever hoax, a misidentified secret prototype, or something even stranger. The evidence is limited, the material fragmentary, and the investigations, while sincere, are ultimately inconclusive.
What can be said with confidence is that the story behind this footage, and the decades‑long debate it sparked, make the Aviano UFO one of the most intriguing and enduring cases in modern ufology.
What do you think?
My detailed analysis of the plane and orb teleportation videos that some people have linked to the disappearance of MH370.
A look at the “Skinny Bob” alien footage, where I break down why it’s so strangely convincing, what’s likely fabricated, and why the videos still spark debates years later.
A breakdown of a cryptic Forgotten Languages post about a supposed drone strike simulation off New Jersey, and how its details later echoed the real drone shutdowns across Denmark, Norway, and Germany. I compare the timeline, the political backdrop, and the odd overlap between fiction, leaks, and NATO airspace incidents.
A detailed look at the Carlos Díaz “Ships of Light” UFO: the molten amber craft he photographed over Ajusco, how it seemed half-machine, half-alive, and why the visuals still rank among the most striking UFO images ever captured, hoax or not.
A deep dive into the 2008 “Flyby” UFO video, where a disc-shaped object appears to following an airliner (or jet?), and why this short, grainy clip still sits in that uncomfortable space between what is could be a clever hoax, or genuinely a real UFO.
A collection of some of the best and most famous UFO photos ever taken. Looking at who took them, how they’ve been debunked or defended, and why a handful of images still sit in that annoying space between “obvious hoax” and “if this is real, everything changes.”
Follow me on X for more updates.