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Neural deep network ltd idea to production design top house for design AI agents https://xitter.gq/t.co/U9MUH76LB4 #ai #3dprint #aiagents

Malta
Joined March 2018
Photo by NeuralDEEP.net (@NeuralDEEPnet)Photo by NeuralDEEP.net (@NeuralDEEPnet)Photo by NeuralDEEP.net (@NeuralDEEPnet)Photo by NeuralDEEP.net (@NeuralDEEPnet)Photo by NeuralDEEP.net (@NeuralDEEPnet)Photo by NeuralDEEP.net (@NeuralDEEPnet)Photo by NeuralDEEP.net (@NeuralDEEPnet)Photo by NeuralDEEP.net (@NeuralDEEPnet)Photo by NeuralDEEP.net (@NeuralDEEPnet)Photo by NeuralDEEP.net (@NeuralDEEPnet)
NeuralDEEP.net retweeted
Founders getting ready to do 30 minutes of marketing after 1 year of building features:
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"FIRST-TIME-RIGHT" at the @NeuralDEEPnet booth at Web Summit Lisbon! @NeuralDEEPnet @WebSummit #WebSummit2026 #InMalta neuraldeep.net – at Malta
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NeuralDEEP.net retweeted
We're in a computer graphics renaissance Drawings, photos, renders are all something world models can "see into", world vertigo
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NeuralDEEP.net retweeted
Who did this shit lmao
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NeuralDEEP.net retweeted
Fable 5.5 just f*cked whole anime studios industry... this is f*cking crazy i one-shote this 83-second film with Fable 5.5 in under 3-hours, no image generation, 100% code > 8 agent teams working in parallel > pure three.js, zero video model > 39 shots, 1,992 code-rendered frames > synthesized sound > single HTML file, works offline find full workflow + code below then, read the full guide on motion design
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NeuralDEEP.net retweeted
A robot for the 3D printing farm! 🖨️ 3D printing is often tied to a repetitive cycle: wait for the print to finish, remove it, clean up, start the next one, and repeat. But what if there were a solution that changed all of that? This robot powers an entire 3D printer farm. With this system, printing can run non-stop, as long as there’s filament to feed it. The robot handles the rest: collecting finished prints and placing them neatly on the rack, ready for the next job. Great showcase by DHR Engineering! 🦾 ~~  ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
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NeuralDEEP.net retweeted
Fable 5.5 just destroyed all anime film studios... this is f*cking insane. i one-shoted this 42-second animation with Fable 5.5, and it’s better than 90% of video models. > pure three.js, zero video model > code-rendered frames + synthesized sound > single HTML render file, works offline find full prompt + code below then, read the full guide on motion design
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A running NVIDIA SimReady factory you can drop into any three.js page with one line. 22 files, 115 MB, 17 fps to 1 file, 9.7 MB, 128 fps 9,883 draw calls to 1,116, first frame 8.9 s to 4.1 s free on GitHub (link in reply) Models by NVIDIA SimReady, CC BY 4.0
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NeuralDEEP.net retweeted
🚨 Fable 5.5 just made a 66 sec animated short film, with zero image models every frame + every sound = python it wrote itself fox, paper birds, clouds, lettering, score, sfx, all of it > 1920×804 · 24fps · single html file > no gen images / no stock / no samples / no font files > ~2h40m of autonomous work < not ghibli level, and it told me so itself lol >
Fable 5.5 its over for video and image models 🤯 THIS IS PURE CODE one shotted this video holy shit , how this is more beautiful than ai video models Two ways to check this yourself: Ask: “Where did @karpathy go in 2026?” with web search and memory turned off. Only the new Fable knows the answer. Then give it the prompt. Run the same prompt I used for the test (it’s in the screenshot) and see for yourself. Don’t rely on Grok for basic reasoning like this. Grok doesn’t have up-to-date knowledge of niche stuff. Either join the community or run the test yourself. Also, a knowledge cutoff doesn’t mean a model knows everything before that date. Sometimes a model doesn’t know about an event even if it happened before its cutoff. This test shows that too. Run the same prompt on regular Opus 5.5 and the quality drops. On Fable 5.1 it’s worse.
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NeuralDEEP.net retweeted
Andrej Karpathy dropped a 2-hour masterclass on everything that he knows It covers: - Agents - ⁠Harnesses - ⁠Loops - ⁠Graphs This is a must watch. Bookmark this post
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NeuralDEEP.net retweeted
Opus 5.5 built a live warehouse from NVIDIA's free SimReady models
NVIDIA put 2,595 free 3D models on Hugging Face. I optimized them for the browser Out of Blender they add up to 225 GB. After the pipeline the whole set is 3.8 GB The V8 engine went from an 888 MB file that takes 9 seconds to show up to 9.3 MB and 0.6 seconds, and it looks the same The optimized set is free on Hugging Face huggingface.co/datasets/code… Models by NVIDIA SimReady, CC BY 4.0
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