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Tony

@antoineguyon

Aspen, CO & Provence/French Riviera

Aspen, CO Katılım Mayıs 2009
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Tony
Tony@antoineguyon·
͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
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Tim Cook
Tim Cook@tim_cook·
50 years of Apple, 50 years of innovation. Thank you to our teams, our users, and everyone who’s been part of the journey. #Apple50
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Kevin Ho
Kevin Ho@kho·
Had to jump in and experiment with @_chenglou's Pretext. BioMap is a 52 biomarker blocks that expand as you explore, reflowing text across every block every frame. 0.04ms for all 52 layouts only possible with Pretext turning text measurement into pure math. No DOM reads, no reflows. kevinho.com/experiments/bi…
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Patrick Yin
Patrick Yin@patrickhyin·
We’re releasing OmniReset, a framework for training robot policies using large-scale RL and diverse resets for contact-rich, dexterous manipulation. OmniReset pushes the frontier of robustness and dexterity, without any reward engineering or demonstrations. Try the policies yourself in our interactive simulator! weirdlabuw.github.io/omnireset/ (1/N 🧵)
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Cheng Lou
Cheng Lou@_chenglou·
My dear front-end developers (and anyone who’s interested in the future of interfaces): I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept): Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow
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pedram.md
pedram.md@pdrmnvd·
men in their 40s used to have cool midlife crisis but now they just have agentic workflows
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Justine Moore
Justine Moore@venturetwins·
Truly blown away by a new AI image model launching this week ✨ Finally, you can generate photos that actually look like you! It's so much better than everything I've tried - from LoRAs to NB Pro. Onboarding some early testers. DM or comment if you want access 👀
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Physical Intelligence
Physical Intelligence@physical_int·
We developed an RL method for fine-tuning our models for precise tasks in just a few hours or even minutes. Instead of training the whole model, we add an “RL token” output to π-0.6, our latest model, which is used by a tiny actor and critic to learn quickly with RL.
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Runway
Runway@runwayml·
A breakthrough in real-time video generation. As a research preview developed with @NVIDIA and shared at @NVIDIAGTC this week, we trained a new real-time video model running on Vera Rubin. HD videos generate instantly, with time-to-first-frame under 100ms. Unlocking an entirely new creative paradigm and bolstering the foundations of our General World Model, GWM-1. Real-time generation opens a fundamentally different design space for video models and world simulation. We're investing in co-designing our models alongside advances in hardware to keep pushing this frontier.
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JulianSaks
JulianSaks@JulianSaks·
Introducing Humanoid Atlas, the Bloomberg Terminal for humanoids. Every OEM, every supplier, every dependency humanoids.fyi
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Todd Grilliot
Todd Grilliot@GrilliotTodd·
Pixel Engine v1.1 (left) vs Nano Banana 2 (right). I gave both models basically the same prompt. Unless you've tried to create spritesheets with image models before, you probably don't realize how hard it is to get good motion. Image models don't want to animate things, they want to make images. I trained my own animation model (Pixel Engine 1.1) to solve this problem. It's a completely novel approach, and it works surprisingly well. You can try it for free rn in the pixel engine app.
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Justine Moore
Justine Moore@venturetwins·
Stumbled upon a fun use case for AI image editing ✨ Redfin now has a "redesign" button on listings that allows you to redecorate any room in a new style. This is going to be really useful for homes that need to be renovated or aren't staged - but it's fun to use anywhere 👇
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Tony
Tony@antoineguyon·
@ylecun Bravo
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Tony
Tony@antoineguyon·
@lennysan That’s pre-bot era Now do Claude + a body
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Adrien Grondin
Adrien Grondin@adrgrondin·
The new Qwen 3.5 by @Alibaba_Qwen running on-device on iPhone 17 Pro. Qwen 3.5 beats models 4 times its size, has strong visual understanding, and can toggle reasoning on or off. The 2B 6-bit model here is running with MLX optimized for Apple Silicon.
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Tony
Tony@antoineguyon·
@kimmonismus Now we need Optimus the size of a phone/toy and go do things for us
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Chubby♨️
Chubby♨️@kimmonismus·
Honor is building the first phone that also includes an AI robot. It's a robot in the sense that the pop-up camera acts as the AI's eyes, and if I understand correctly, it allows a continuously active AI companion to work as an assistant. Interesting, but probably more of a gimmick. However, personal AI companions are coming.
HONOR@Honorglobal

It used to be a concept, but now it has come into reality -- HONOR Robot Phone embodies a new form of AI device featuring both intelligence and vitality It is a robot phone from the future, an intelligent companion for you.⚡️

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Tony
Tony@antoineguyon·
@janusch_patas And just like that: Programmatic sponsored Ads in your splats :)
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MrNeRF
MrNeRF@janusch_patas·
Fooling around with webcam live-feed integration into LichtFeld Studio. Probably never going to ship it, but kinda fun. Do you think this has any value?
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Aakash Gupta
Aakash Gupta@aakashgupta·
Karpathy is telling you something most product teams haven’t internalized yet. The new distribution channel for software is agents. Agents don’t browse your marketing site, watch your demo video, or click through your onboarding flow. They call your CLI. They hit your MCP server. They read your docs programmatically. If none of those surface areas exist, your product is invisible to them. Look at how fast this moved. MCP went from zero to 97 million monthly SDK downloads in twelve months. 10,000+ active servers. OpenAI, Google DeepMind, Microsoft, and Cloudflare all adopted it. By December 2025, Anthropic donated MCP to the Linux Foundation because the standard had already won. Running an MCP server is now compared to running a web server. That’s the new baseline for product discovery. 85% of enterprises are expected to have AI agents deployed. Those agents need structured, programmatic access to your product. They need CLIs, MCP endpoints, and machine-readable documentation. A beautiful React dashboard is worthless to an agent trying to pull data into a workflow at 3am. This tells you everything about why Karpathy’s framing of CLIs as “legacy” technology is so precise. Legacy means battle-tested, standardized, universally parseable. stdin/stdout, flags, JSON output. The entire Unix philosophy was accidentally designed for AI agents decades before they existed. Your competitor ships an MCP server and suddenly every Claude Code user, every Cursor session, every autonomous workflow can discover and use their product. No human ever visits the website. No sales call. No onboarding email. The agent just finds the tool and starts using it. The companies that win the next 24 months are the ones building agent-accessible surface area right now. The ones that lose are still optimizing their landing page above the fold.
Andrej Karpathy@karpathy

CLIs are super exciting precisely because they are a "legacy" technology, which means AI agents can natively and easily use them, combine them, interact with them via the entire terminal toolkit. E.g ask your Claude/Codex agent to install this new Polymarket CLI and ask for any arbitrary dashboards or interfaces or logic. The agents will build it for you. Install the Github CLI too and you can ask them to navigate the repo, see issues, PRs, discussions, even the code itself. Example: Claude built this terminal dashboard in ~3 minutes, of the highest volume polymarkets and the 24hr change. Or you can make it a web app or whatever you want. Even more powerful when you use it as a module of bigger pipelines. If you have any kind of product or service think: can agents access and use them? - are your legacy docs (for humans) at least exportable in markdown? - have you written Skills for your product? - can your product/service be usable via CLI? Or MCP? - ... It's 2026. Build. For. Agents.

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Alistair McLeay
Alistair McLeay@alistairmcleay·
Unsurpisingly the AIs had originally built a range of super inefficient things including calling the google APIs WAY more than it needed to Also were just a load of performance optimizations missing Ran huge swarms of Agent Teams in Claude Code to identify everything and then go and fully rebuilt it So it should be 100x more robust and scalable now Still not cheap though
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Alistair McLeay
Alistair McLeay@alistairmcleay·
My flight sim went viral and cost me $1,200 in 24hrs So I got Claude + Codex to rebuild the whole thing from scratch v3 is live — fly anywhere on Earth in photorealistic 3D You can also nuke each other now Inspired by the OG flight sim vibe coder @levelsio
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