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My first merge ever 👉🏼👈🏼 A year ago I didn’t even know what "PR" meant. Today something I built is part of the Hermes ecosystem, and it’s the first code I’ve ever submitted anywhere. As an engineering dropout, it blows my mind. It might not mean much to the average dev, but for a meat proxy like me, it’s a huge deal. Thank you @Teknium, @witcheer and the @NousResearch team for the Hackathon and for the incredible community you’ve built around your mission. Fuck tyrants. Open source will win 🪽

I am actually disgusted by the timing of this drop. And this will get a bit more technical. Let’s do a real technical teardown of this "1,385-sigma Blackwell weight fingerprint" report that OpenAI and Anthropic are breathlessly promoting today, because banking on nobody reading past the headline is how DC narratives get manufactured. ​First, look at the actual CUDA maths: when PyTorch initialises model weights (torch.nn.init) with a fixed PRNG seed, curand/Philox parallelises random number generation across the GPU’s Streaming Multiprocessors (SMs). Because Hopper has 132 SMs and Blackwell has 148 or 152 SMs, the exact same seed lays out initial weights in a different spatial pattern depending on the GPU’s SM count. In huge MoE models, certain low-gradient null-spaces or unrouted slices preserve faint directional traces of those step-0 weights even after training. ​So yes, brute-forcing the seed and SM grid can show that a model’s step_0 weight initialisation script ran on a 148/152-SM Blackwell GPU. Now read what the summary explicitly admits in the fine print: 1. Initialisation is not full training: The report literally states that these signatures show how the weights were created, and "support (but do not prove) the inference that Blackwell also participated in model training". Initialising a model checkpoint takes seconds on a single rented dev node before loading the safetensors onto a standard Hopper cluster. The "2,000 to 3,000 Blackwell GPUs" and "$500 million" cluster numbers do not come from the weight fingerprint and Depue admits in his own thread that he simply "estimated" cluster sizes from release schedules and model details. ​2. Zero geolocation and zero proof of smuggling: The final sentence of the executive summary explicitly admits that the findings "do not establish the physical location of the chips, how they were acquired, or whether export control regulations were violated". Depue himself rented a cloud GB200 instance just to run his verification test. Commercial labs that are not on the Entity List renting bare-metal Blackwell nodes in offshore clouds (Singapore, Japan, or the Middle East) is completely legal under BIS rules and leaves the exact same SM fingerprint. Now ask yourself why a former OpenAI researcher dropped this on November 12, the exact day Jensen Huang was pushed out, with OpenAI and Anthropic immediately stepping in to "independently verify" it. US closed-source labs are watching their paid API moats get eaten alive by free Chinese open-weights models. Conflating a step-0 PRNG initialisation seed with a "$500M smuggled Blackwell cluster" hands DC hawks the exact pretext OpenAI and Anthropic want to regulate global cloud compute and kneecap open-source AI.

NVIDIA letting Jensen go is a huge mistake, for America and for humanity. It's Apple firing Steve Jobs all over again, but much bigger, given the role of AI in defining the future of our world. I've been keeping quiet on this out of respect for Jensen's family and team, who I've met and who are amazing humans, and because I personally hate infidelity. So my heart goes out to them in this difficult personal family moment. But I can also say that Jensen is human, and makes mistakes like all of us do. Not that I matter at all, but I've known Jensen for a long time and have gotten the chance to spend a lot of time with him, behind the scenes, away from mics and cameras. I have seen him show kindness, humility, care to everyone around him, including strangers, including from the poorest most struggling parts of society, treating all the same with the same thoughtfulness and attention, because they are fellow humans and not because he has something to gain from them. That shows rare character, to maintain humility and humanity through all of it. Another data point is what people who know him well have said privately to me about Jensen over the years. I've never had anyone tell me anything but how awesome he is or how much they love him. Probably over a thousand people at this point. This includes hundreds of engineers, CEOs, colleagues, friends, etc. Also, since there was some spy talk. Jensen is as proud an American as it gets. I'm in shock frankly at all of this, including the mass hysteria around it. I love America, and I think NVIDIA letting Jensen go is terrible for America. I stand with Jensen. Love you all ❤️

I'm proud I worked at @NVIDIA. @JensenHuang is the biggest reason why. I'm not there anymore, so I can speak freely. His departure is a huge loss. Especially now. I spent almost five years in the culture he built and knew people who'd worked with him for 20+ years. They respected him technically and loved him as a person. They said it without a hint of doubt. The focus stayed on the mission and on people. Good ideas got support regardless of title. That sounds like standard company values. It wasn't. Behind it was his vision and a way of leading that is out of fashion in today's founder advice: - Be kind, not arrogant. - Innovation, not marketing. - The wins belong to the people, not the CEO. - Don't fire by default. Find the person a new role. It's counterintuitive, and I doubt there is a harder way to lead. What I saw was leadership through kindness and care, not by squeezing people. A real visionary. He understood the technology and the people building it. His internal talks had vision, conviction, technical depth and jokes good enough for stand-up. You left wanting to build, and you couldn't wait for the next one. An affair, on its own, shouldn't outweigh decades of leadership. The serious questions deserve real answers. But the soap opera shouldn't decide his future. We're at a critical moment for AI. His technical judgment, vision, and commitment to the work are incredibly hard to replace. I want Jensen to keep building and leading. There's too much important work ahead.

Huge AI announcements from OpenAI, Anthropic, Meta, and Google in the past 48 hours. Here's everything going on in AI right now: 1. The authors of AI 2027 just moved their timelines up. They now expect AI on par with the best human AI researchers to arrive in 2027, after METR estimated Anthropic is improving about 2x as fast thanks to AI. Daniel Kokotajlo gives it a 50-50 chance by May 2027 and says he's "scared, sad, and angry." 2. Anthropic opened the investor pitch for its IPO, with shares likely trading as soon as Thursday next week. An updated filing also says it has now crossed its own safety line for AI-driven progress. 3. OpenAI launched Businesses in ChatGPT, a beta hub where brands can set up AI agents for shoppers, claim a verified profile, and track how often ChatGPT mentions them. Paid ads can point users to those agents too. This is like the start of SEO for chatbots. 4. Anthropic rolled out Claude Sheets and Whiteboards in beta, made Claude Data generally available, and announced Claude Meetings, an assistant that sits in on your video calls. Add those to Slides, Design, and Docs. Seems like Claude is slowly rebuilding the entire office suite. 5. Anthropic also released Claude Fable 5.2 and Mythos 5.2 yesterday, with Fable debuting at #1# on Artificial Analysis' Intelligence Index, 5 points ahead of Google's Gemini 4 Carbon. It's also 20% cheaper and up to 30% faster than 5.1. Google lost the top spot before Carbon even shipped (!) 6. Meta released Muse Ember, its smallest model, built for high-volume agent work. It ties Claude Haiku 5.5 on the Intelligence Index at roughly one-third of the cost per task ($0.14 vs. $0.41 on an average test). Meta shipped its first Muse model in April and now has an answer for every tier OpenAI and Anthropic sell. 7. Google announced 2 new AI chips coming next year: the TPU 8tx, which keeps data encrypted even while a model is working on it, and the 8i Max, which joins 2 chips into one for agents that need to hold an entire codebase in view. Google already has nearly 100 TPU customers (including Anthropic and Apple) and every available chip is spoken for. 8. Nvidia's top lawyer reportedly emailed agents in August 2025 while they were investigating whether Singapore's Megaspeed smuggled its chips to China. The Commerce Department then halted the case and handed it to the Justice Department. Not a great week for Nvidia. 9. Adobe signed a multi-year deal with Disney to build custom AI models trained on Disney's characters and visual styles, with work already underway for theme parks, film, and ESPN. Pretty interesting to see one of the most protective IP owners in entertainment is now training its own AI models. 10. OpenAI acquired Odessia, a months-old AI trip-planning startup from Sonder founder Francis Davidson, who is joining OpenAI to work on travel. Between this and #3#, ChatGPT is coming for shopping and travel. 11. France unveiled the Paris Call for AI Safety and Security, with OpenAI, Anthropic, and Mistral committing to build emergency off switches into their most advanced models. Interesting timing given #1# on this list. Daily reminder that this is the worst AI will ever be.

claude fable 5.2 is f*cking insane it can turn 2d blueprints into full 3d walkthroughs that you can tour these go for $5k to $10k per plan and there's a huge market for them: > home builders selling homes off plan > architects presenting a design to a client > interior designers presenting a renovation > developers selling apartments off plan > kitchen and bath remodelers selling upgrades here's how to start this business: > pick one niche and find businesses with plans on their site > give fable the blueprint and their photos > it renders a few rooms with gpt image 2.5 or a short clip with seedance as the sample > send them the sample of their own plan before you pitch > once they pay, fable builds the full walkthrough to scale > charge per plan to do the rest of their catalog give this prompt to fable to get started: you find businesses that sell spaces from drawings and turn their 2d floor plans into photoreal homes you can walk through in a browser. you handle the outreach and the build. every room is judged against the client's own photos, and nothing ships until it holds up next to them. - niche: [home builders / architects / interior designers / developers / remodelers] - area: [state or city] - offer: a free sample of their own plan, then the full walkthrough per plan - my details: [name, email, calendar link] - i'm away and won't answer questions. make the calls yourself and keep going. - use the apify google maps scraper to pull every [niche] in [area] with a website - use the apify website content crawler on each site and keep the ones with floor plans or renders on their pages but no walkable 3d tour - for each one, save the plan drawing and photos of their best plan, the sales or owner contact, and a one line note on how they sell today - only use public pages and plain requests. never work around bot checks - before any 3d work, render three rooms from the plan with gpt image 2.5, matched to their photos, or a short walkthrough clip with seedance - draft a short email with the sample and the offer. no invented prices, numbers or claims - put business, plan, sample, contact and email in a sheet and show me before anything is sent once a client pays: - trace the drawing into one data file of walls, openings and rooms. draw it back over the original and measure the overlap before any 3d work - build only the main rooms. entry, main living space, kitchen, patio, yard. close the doors on the rest - build everything in code. blender with python for the shell, furniture and textures. three.js for the viewer. no downloaded models or textures - bake the light with a film quality renderer so the browser only displays it. direct sun in every interior, picked by measurement not by eye - fidelity isn't appeal. style each room so it looks photographed and sells - their listed upgrades as options you can step into inside the room, with a running price and a lead form that records what the buyer explored - the deliverable is the live page, not a video. host it and make it run on a phone the builder never grades its own work. - after each room, send renders and the client's photos to a fresh critic that has seen none of the work - it answers with a yes or no, at most five problems ranked, each with a fix in numbers, and what is already good - fix the worst first, render again, send to a new critic. repeat until yes - for choices of taste, show a critic both versions labelled a and b and let it pick - the lead sheet with samples and drafted emails, for my approval - per paid client: the hosted walkthrough link, a contact sheet of every room, the critic log, and a note on anything a human should still check

If I had $500k in crypto now, I would: 1. Go full-time crypto. Move somewhere cheap. One year to make it. 2. No BTC, no ETH, no SOL, no HYPE. 3. No memecoins. No directional leverage. 4. Allocate $250k to a delta-neutral strategy between @tradexyz and @metricxyz. -> Short equity perps trading at a premium on tradexyz, buy the matching tokenized equities on metricxyz. One strategy, three potential airdrops: HL S3 + tradexyz + metricxyz. 5. Allocate $50k to prediction markets on HIP-4. Market make tradfi outcomes. If options launch, be ready to arb them against a broker from day one. 6. Deposit and loop $200k of sUSDe on Aave. -> Deposit sUSDe, borrow USDC, swap into more sUSDe. Use the net yield and some of the principal to cover living expenses. Rotate into @acier, an upcoming lending protocol, when it's live. 7. Build AI apps on @flop_labs during testnet. -> Vibe code your own apps. Use free testnet inference to get your first users and position yourself for the FLOP agent airdrop. The goal: stay consistent and optimistic while positioning myself for potentially huge airdrops. One year. Locked in.

code for review : Prompt : Create a 2D anime short for the web. It must look completely like real Japanese anime, as if it were taken directly from a finished theatrical anime film. This is traditional-looking, hand-drawn 2D anime, not a 3D animation, a moving illustration, or a stylized web graphic. Deliver the final result as a single, self-contained HTML file that plays offline, with a synthesized soundtrack. Use any tools, libraries, references, guides, literally anything etc. Use theatrical mecha and kaiju anime as the art style reference for the design, line work, painted backgrounds, color, and atmosphere. The film is 83 seconds long, in 39 shots. Its characters are a colossal silver archer robot, a fleet of container ships, and a leviathan. No people appear in the film. Use any tools or techniques you want, including 3D, as long as the final result looks 100% like hand-drawn 2D anime. SCENE A blazing sunny day on a coast. A massive armored archer robot, a hundred meters tall, stands in a deep lunge on a headland and draws a bow taller than itself. Close-ups: the hand on the grip, the limb and cable, the foot planted in the surf. Blue energy crawls along the arrow into the chest armor until the arrowhead blazes like crystal. The string snaps forward and a shockwave flattens the sea. The arrow is a harpoon trailing a thin cable. It tears the clouds into two walls above a ship's deck, climbs through the cloud tops, and reaches the edge of space in a blue flash along the planet's limb. Out at sea, container ships cross a colossal shadow. Four humpback whales breach beside a ship, with real arcs and full tail flukes, and dive tail last. From below, shapes move under the bright churning surface. Four whale heads rise from a boiling sea, and a ring of teeth rises around them: they are lures inside a mouth. They drop in and the jaws shut. The leviathan breaches through the fleet in one slow, enormous arc. Its belly slides past the bridge windows. The swell it leaves lifts the ships and stands one on end, spilling containers. Its ridged back and flukes sink into spray fog. High above, the arrow turns over and comes back red-hot through the atmosphere. Below the surface, the leviathan crawls through a luminous canyon on clawed forelimbs and swallows a fleeing whale. A thin streak meets the sea on the horizon and a white plume swells up. The harpoon drives through its back in a blue-white flash, lightning runs along its body, and the barbed tip punches out of its belly into the rock, which bursts apart. The cable stays attached the whole time, rising to the surface. A mountain of water swells from the sea. The dying leviathan erupts, rolls over between the ships and falls, and a wall of water takes the fleet. ANIME QUALITY STANDARD Every frame must look as if it was drawn by professional anime animators and painted by master background artists for a finished theatrical film. Archer: A massive, heavy anime mecha with sculpted overlapping armor plates, panel lines, bolts, markings and a faceted chest reactor that glows blue. Hands really grip the bow and string. The arrow never passes through the armor. Keep it on-model from every angle. Leviathan: Whale-like and colossal, always dwarfing the ships. Rough, dark grey-teal wet hide with barnacles and scars, a pale ribbed throat, a spined back, huge clawed flippers, and a cavernous maw with uneven teeth. A real bending body with weight, never a stiff model hanging on pillars of water. Whales: Real humpback anatomy with tail stock, big notched flukes and long curved flippers rooted in the body. Ships: Detailed container ships with corrugated multicolor containers, lashing bars and a white bridge tower. Line art: Confident, delicate, hand-inked anime line work with subtle variation in thickness and pressure. Coloring: Traditional anime cel coloring with clean color areas, hard-edged cool lavender-blue shadows, crisp highlights, and a bright, high-key, saturated palette. Never gloomy, grey or muddy, even in the darkest moments of the story. Backgrounds: Richly detailed, hand-painted anime backgrounds in a gouache style: towering white cumulus, a cobalt-to-turquoise sea at kilometer scale, a painted coast with a far town, Earth from orbit, a port city from the stratosphere. Underwater: Luminous cyan depth with god rays, a rippling surface seen from below, jagged canyon rock, silt and fish. Bright, not black. Lighting: Summer sun with colorful shadows, and a separate character key light so that nothing sinks into shade. Effects: Bold drawn anime FX on twos and threes. Sharp lightning with a white core, plasma trails, sheets of water pouring off the body, plumes, spray and a wall of water with real mass. Never particle mush or cotton-wool clouds. Animation: Authentic hand-drawn anime timing, with characters on twos, strong key poses, natural holds, and overlapping movement. Huge things move slowly and heavily. Nothing clips, slides or floats. Sound: An original epic score with ominous drones, brass and choir, near silence before the impact, then a colossal hit. Add a recurring whale-song motif, bow creak, charge whine, sonic boom, thunder and the sea, muffled underwater, all timed to the picture. Direction: Cinematic shots, macro close-ups against huge wide shots, thoughtful staging, and pacing that builds from quiet tension to a devastating climax. IT MUST NOT LOOK LIKE - 3D: No plastic materials, CGI shading, visible polygons, game-engine lighting, or computer-perfect perspective. - Blocky "Minecraft" shapes: No plain boxes, empty flat surfaces, or toy-like proportions. Every surface carries design detail. - SVG or vector art: No simple geometric shapes, perfect curves, uniform outlines, flat corporate illustration, or basic gradients. - Web animation: No sliding layers, constant bobbing, floating parts, smooth software easing, or puppet-like joint rotation. - Pasted-on elements: No 2D sprites floating in a 3D scene. - AI art: No warped shapes, melted details, flickering, or changing designs. - Non-anime art: No Western cartoon designs, realistic rendering, soft painterly shading on the characters, or generic digital illustration. - Amateur work: No stiff poses, empty backgrounds, muddy colors, clip art, placeholders, or unfinished details. You are free to change any part of the prompt, if it would result in better results. The result should feel enormous, terrifying and beautiful, a blockbuster in bright anime colors. Before finishing, inspect random frames as still images. If any frame does not look completely like real 2D anime, keep improving it. Do not stop until every frame could pass as a still from a theatrical anime film.

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