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Releasing INTELLECT-1: We’re open-sourcing the first decentralized trained 10B model: - INTELLECT-1 base model & intermediate checkpoints - Pre-training dataset - Post-trained instruct models by Arcee.ai - PRIME training framework - Technical paper with all details

The Mac OS App Store is seriously so bad. Resetting my laptop and looking to install ChatGPT. - which one is supposed to be the official app? - somehow, canvas and whatsapp made it to the top results. perplexity, I can get. - turns out it's not on the app store, ended up

In 2-3 years, calling a product “AI-powered” will be as dull as saying it runs on software. AI will be another tool in the tech stack for building products. If it solves their problems, users will use (and maybe pay for) it. If not, no buzzword will save it.

Everything you love about generative models — now powered by real physics! Announcing the Genesis project — after a 24-month large-scale research collaboration involving over 20 research labs — a generative physics engine able to generate 4D dynamical worlds powered by a physics

Too much irrational craziness around Deepseek. As a community & industry, we should get back to building the first principles: - building compute infrastructure - building energy infrastructure - building data infrastructure - invest in r&d and support open science - turn

Ben Shapiro Why are they "enemies?" No one that works at DeepSeek is an enemy of mine. The fact that they love open-source makes me think I would gel with them quite well.

There is an average of 60-70 in-game ads during Super Bowl. How many of them will be AI-generated this year? My bet: ~3 (not counting ads for ai-powered products).

Thinking out loud. In a world where AI coding agents (Claude Code, Devin, Cursor, Reflection, Lovable, etc.) become 50x better than they are today, what becomes insanely easy, and what remains difficult in building a SaaS product? My current take. What becomes insanely easy? -

Could you add speech-to-text transcriptions for voice notes WhatsApp, please? 🙏

Thrilled to be revealing a glimpse into what I've been building with Kelsie over the last year! A key bottleneck on the path to superintelligence is understanding causal relationships. We plan to fix that at Causal Labs, starting with AI physics models to predict and control the

Where are the "product ML engineers" hanging out in NYC? Folks who can build ml solutions, have product taste, and get business priorities. Feels like unicorn profiles right now, but know many people are looking for this intersection.

Excited to join GLOSAIC next week for a chat about open-source AI with clem 🤗 Hugging Face Robin Rombach Black Forest Labs & Erik Bernhardsson Morten Dalen. Check out the other talks as well. Livestream registration open at GLOSAIC.org

We shipped an alpha version of the new Surya OCR model. No hype, just facts: - 90+ languages (focus on en, romance langs, zh, ar, ja, ko) - LaTeX and formatting - Char/word/line bboxes - ~500M non-embed params - 10-20 pages/s

Longevity but for pets. Imagine a world where your dog lives 40 years instead of 10.

1/ We're dedicating $100M to support American scientists facing funding cuts through the Lux Science Helpline, an expansion of our Lux Labs program. To compete in the future, innovation must be funded 🧪💡

1/ 🔥🔥 Big news: We’re launching Percival, the first AI agent that can evaluate and fix other AI agents! 🤖 Percival is an evaluation agent that doesn’t just detect failures in agent traces — it can fix them. Percival outperformed SOTA LLMs by 2.9x on the TRAIL dataset,

We're hiring fullstack and research engineers for Datalab: - 7-figure ARR, 5x growth in 2025, 40k GH stars, team of 4 - Used by tier 1 AI labs, governments, universities - Train SoTA document models w/novel arch - 200k-400k, 1-3% eq - Culture: low ego, collaborative, GSD

High-quality, openly licensed data is essential for training ethical and performant language models, but much of it is locked away in PDFs. We're honored that our open-source parser (Marker) was used to support the open data ecosystem!

🔥Big exciting news - I've started a new company! 🚀 We are building AI agents that take actions in the real world by orchestrating the movement of physical goods. We're working with our first partners and are now growing the founding engineering team. We're building in NYC,

i'm working from paris this week, anyone has an empty desk, chair, and monitor for me?