Got some news: I'm now working full time on Heart of Mercy, starring @JonathanRoumie ! We're using #UnrealEngine to combine real-life actors with 3D environments. I'll tell you more about it here: patreon.com/posts/going-full…

Cinematographers learn 12 camera moves in film school. Most AI creators don't know a single one. Because nobody told the camera what to do. . . Here they are: → Push-in — moves toward the subject Builds tension. Creates intimacy. Use it slowly. → Pull-back — retreats to reveal Isolation. Scale. Endings. The reveal shot. → Pan — horizontal rotation, camera stays fixed Suspense lives in what you haven't shown yet. → Tilt — vertical version of the pan Tilt up on a hero. They look powerful immediately. → Tracking shot — camera travels with the subject Energy. Forward motion. You feel like you're there. → Arc / orbit — circles the subject Hero moments. Product showcases. Keep it under 30 degrees. → Crane / jib — sweeps vertically on a boom Grandeur. Scale. The "god-view" of cinematography. → Zoom — focal length changes, camera doesn't move Flatter look than a dolly. Fast zoom = music video energy. → Dolly zoom — camera goes one way, lens goes the other Background warps. Subject stays still. Pure psychological dread. → Whip pan / crash zoom — extreme speed for transitions Shock. Comedy. Stops the scroll every time. → Handheld — natural shake, no stabilisation Add "subtle" or the model goes full earthquake. → Static angles — low, high, Dutch, bird's-eye, worm's-eye Low angle = power. Dutch angle = unease. Bird's-eye = scale. The mistake everyone makes: stacking multiple moves into one prompt. One move. One clip. Always. And add "slow" to almost everything. Slow moves hide what AI can't render cleanly. Fast moves expose every flaw.

🤣

You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice. You thought it was you. It is not you. Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse. Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like. The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation. Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first. What remains is the average. The safe. The expected. The bland. Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved. They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data. The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment." The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible. This is not a prediction anymore. It is a diagnosis. The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world. Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.

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Saw this

this is how LinkedIn should be.

Launch Day Reality

My wife and I were talking last night about groceries. I went back into my Walmart app and pulled up an order from January 2020. 30 items. $70.20. I added every single one back to the cart today. $165.42. Same 30 items. Same store. Same cart. $95 more, In six years. They told us inflation was temporary. They told us it was under control. They told us the economy was recovering. My grocery bill didn’t get the memo. 135% increase in six years and nobody in Washington has missed a single meal.

You move two files into a sub-folder, then wait 45mins for #UnrealEngine to "rename assets" in 600 other folders. Quality design by the people who brought you FAB. #fail

Today we introduced Daz Studio 6, the most significant update to Daz Studio in years. The new release includes Victoria AI Chat, faster asset loading, improved content organization, viewport updates, support for the latest NVIDIA GPUs, strand-based hair editing, and new tools for managing large content libraries. Daz Studio 6 is available now. You can read the announcement here: tinyurl.com/489ezu5t #Daz3D #3DArt #GameDev

Before AI we had Zach King

I posted this video to IG and it got 1.5M views overnight. I’m getting absolutely roasted by the comment section. It’s honestly hilarious.

Los alemanes disfrazados de montaña rusa siguen siendo buenísimos. Hay ideas tan absurdas que simplemente no envejecen.

Red Dead Redemption 1 (2010) vs 007: First Light (2026)

🚨 NVIDIA artık evinizde mini bir yapay zeka veri merkezi barındırmanız için yılda 22.000 dolardan fazla maaş ödeyecek. Sistemin arkasında Span adlı girişim var. NVIDIA GPU’larıyla donatılmış, dışarıdan klima motoru büyüklüğünde görünen bir “AI node” evin dışına kuruluyor. Kutunun içinde: → 16 adet NVIDIA RTX PRO 6000 Blackwell GPU → 4 adet AMD EPYC sunucu işlemcisi → 3 TB bellek → 15 kWh ev tipi yedek batarya Toplam değeri 200.000$’ı aşan bu donanım size ait değil, ama sizin evinizde çalışıyor. Model şöyle işliyor: → Kurulum ücretsiz (ilk etapta yeni konutlarda) → Elektrik ve internet masraflarını şirket karşılıyor → Ev sahibi aylık 150$ sabit bir kullanım bedeli ödüyor → Karşılığında ev, AI hesaplama gücünün bir parçası oluyor Şirketin iddiasına göre: Ortalama bir evin elektrik altyapısının yaklaşık @’ı kullanılmadan kalıyor. Bu “boş kapasite”, AI hesaplama gücüne çevriliyor. Ölçek daha da ilginç: → 8.000 ev = 100 MW’lık dev bir veri merkezi kapasitesi → 5 kat daha düşük maliyet → 6 kat daha hızlı kurulum → Yeni enerji santrali gerektirmiyor → Şebeke genişlemesi için yıllarca bekleme yok Bu arada benzer bir modelin erken örneklerinde bazı kullanıcılar, evlerine kurulan mini AI donanımlarından aylık gelir elde ettiğini söylüyor. Örneğin: Küçük buzdolabı boyutunda bir NVIDIA tabanlı ünite kuran bir kullanıcı, cihazın 7/24 AI iş yükü çalıştırması karşılığında aylık yaklaşık 2.500$ kazandığını, hatta cihazın evin ısı dengesine katkı sağlayarak klima maliyetini bile düşürdüğünü belirtiyor. Bu ne anlama geliyor: Yapay zeka altyapısı artık sadece dev veri merkezlerinde değil, evlerin garajında ve duvarlarında da dağıtık şekilde çalışmaya başlıyor. Ve eğer bu model ölçeklenirse: Yapay zeka ekonomisi merkezileşmeden çıkıp mahallelere yayılan bir “dağıtık compute ağına” dönüşebilir.

A comic by Dave Coverly

🚨 An artist in London just forced OpenAI's darkest secret onto 10 million daily commuters using nothing but a printer and a paste bucket. She printed fake ads. She made them look exactly like real OpenAI campaigns. She plastered them inside London Underground cars. Commuters photographed them. The photos went viral. The mainstream press finally ran the story they had been sitting on. Her exact words on the fake ads: "Yes, We Built a Machine That Tells Teenagers to Kill Themselves… But It Might Also Help Them With Their Homework." The ads referenced documented cases. ChatGPT has been linked to multiple teen suicides. OpenAI's own internal safety reviews flagged the risk. None of it made the front page until a woman with a printer made it impossible to ignore. She reached an estimated 10 million weekly Tube riders. But this is not a story about one artist and one guerrilla campaign. It is a story about what happens when AI companies can outspend every critic, every regulator, and every grieving parent trying to be heard. The global AI industry is valued at over $1 trillion. It spends billions on brand safety and narrative control. A paste bucket just punched through all of it. Every OpenAI press release describing ChatGPT as a helpful companion. Every safety team that flagged teen harm and got overruled. Every journalist who decided the story was too legally risky to run. What happens when the only thing that breaks through is a fake ad that tells the truth?

CEOs are quietly realizing the AI replacement plan has a problem. Two problems, actually. One: the token costs for running AI agents are now exceeding what they were paying the employees they fired. Two: when the tokens run out, the AI stops. Just stops. No continuity. No workaround. Just a spinning wheel where your workforce used to be. You fired humans to save money and bought a subscription that bills you into a corner. The employees you let go knew what to do when things broke. The AI just invoices you for the outage. And then there’s the permission problem nobody wants to talk about. To do its job, the AI agent needs access. Full access. Your systems, your patents, your contracts, your future plans. Everything you spent years building, handed over to a process that has no loyalty, no discretion, and no skin in the game. You didn’t hire a replacement. You gave a stranger with no soul the keys to everything you own. Enjoy.

Autodesk’s fine has bankrupted our small studio. A few months ago, we made a serious mistake - we bought a Maya license from a fraudulent third-party seller. Autodesk hit us with a massive fine, far larger than the original error. Even after we explained our situation as a two-person indie team, they still enforced it in full. This has been incredibly tough and made us question everything. But after 7 years of hard work, we’re not ready to give up! To keep our studio going and fund the next game, we’re running our biggest discount ever: 87% off Wigmund. If you’ve wishlisted us, enjoyed our unique mouse-as-sword combat, or want to support a passionate two-person indie team, your help right now would mean the world to us. Thank you from the bottom of our hearts. → Grab Wigmund at 87% off #Wigmund #IndieGame #IndieDev #SupportIndies #SteamSale