We engineered Zed to be instantly responsive, but what's... faster than instant? Anticipating your next move. Introducing edit prediction, powered by Zeta, our new open-source language model. 🚀show more

Introducing: Nvidia Pro Mode! Basically GPT-5 Pro, but for... the new Nvidia open source model :) Pro Mode chains together up to 50 instances of the new Nemotron 9B model, enabling it to produce a better answer than one instance alone could create! Open source, link here:show more

Announcing Fireplexity v2 - our open source Perplexity-like example... 🔥 Get instant AI answers with images and cited sources, powered by Firecrawl's new v2 endpoints and blazing fast @groqinc inference. Fork the repo and build your own AI answer app today 👇show more

Coming to Pixel later this year, we’ll be introducing... our latest model, Gemini Nano with Multimodality. This means your phone will not just be able to process text input but also understand more information in context like sights, sounds and spoken language. #GoogleIOshow more

Introducing Custom AI Agents (GPTs) Taskade! 🐑 🚀 We've... just rolled out our biggest update yet: Custom AI Agents, powered by GPT-4 Turbo! Ready to meet your new digital workforce? Build your team of AI Agents with /agent commands. Collaborate directly in Taskade and more!show more

A new era of mobile finance is coming to... Xiaomi's global user base. A next-gen finance app powered by Sei and designed for stablecoin payments, will be integrated into the Xiaomi mobile ecosystem, coming pre-installed on new devices. Money made instant — built into your phone.show more

Introducing CLUB ROUND*, a new mechanic to fundraise onchain... that has never been tried before. We believe consumer crypto should be built & funded by the people who care the most: community. Join our experiment. Open for 4 days.show more

We just released Amp Tab, our new completion engine.... It's based on a custom model and can complete not just single lines, but entire code blocks. Right next to your cursor or a Tab away.show more

Introducing Banana Placement in Higgsfield. Improved Higgsfield Product Placement... to read you precisely, adapt to reference images, and give you State-of-the-Art Inpainting. We just get you. Better and faster than anywhere else. Powered by Nano Banana. Retweet - FULL guide in DM. Don't forget to claim your 1 YEAR of Free Unlimited Nano Banana & Unlimited Kling Offer NOW!show more

Protein–ligand cofolding models are getting incredibly powerful… but do... they have to be so slow? 🧬🐢💊 Our new preprint introduces a new flow-map framework called DeCAF for fast few-step cofolding — up to 5× faster while preserving sample quality on the SOTA Pearl model and 20x faster than Boltz 1x. ⚡🧵 📜 Blog: 🔗arXiv: Code (coming soon):show more

🚀CoinMusme is LIVE! 🔥 Your Journey in the Web3... Waifu Universe Begins Now🎮 🎰Play NOW: (Player tutorial is going to be dropped soon!) ✅Checklist -All pre-reg & closed beta tickets distributed✨ -$150K+ in rewards for Early Supporters ready to claim! 🔥What's next? - Price Prediction Race opens this Thursday! (But you can start earning CP beforehand✨) - Payment by $OAS and $MSM is coming soon - Staking of $MSM is coming soon If you want to be part of our Waifu Universe, Check our TG and DC community too! We are sincerely grateful for our community on this BIG DAY!❤️show more

(1/n) 🚀 With FastVideo, you can now generate a... 5-second video in 5 seconds on a single H200 GPU! Introducing FastWan series, a family of fast video generation models trained via a new recipe we term as “sparse distillation”, to speed up video denoising time by 70X! 🖥️ Live demo: (Thanks to @gmicloud for the support!) 🔗 Blog: 🔓 We fully open-source our models, code, and data with Apache-2.0 licensesshow more

Introducing our most accurate /search yet. We trained a... model to return the excerpts that best answer your query, giving agents highly relevant context from each result. It's SOTA on SimpleQA while using 10x fewer tokens than processing full pages. Now on by default for free.show more

This is Rivian's next-generation Autonomy hardware and software platform,... which the company says is a "self-improving, end-to-end AI system for our autonomy platform that scales." • 11 cameras (65 total megapixels) • 5 radars • New front-facing LiDAR • Powered by a new in-house designed chip called RAP1 (5nm TSMC) Rivian also detailed its software-first approach to autonomy, powered by the new Rivian Autonomy Platform and an end-to-end data loop used for training. The company introduced its Large Driving Model, a foundational autonomous model trained like a Large Language Model: "Utilizing Group-Relative Policy Optimization, the LDM will distill superior driving strategies from massive datasets into the vehicle."show more

🔥 Introducing Aikido Machine, on-prem AI pentesting entirely under... your control. Attackers use AI to find and weaponize vulnerabilities faster and cheaper than ever. Now you can find them first, without your code ever leaving your network. Aikido Machine is a GPU server that runs continuous pentests on your critical applications, fully within your premises. Built for the regulated industries, and powered by our acquisition of Milou to bring AI pentesting fully on-prem. Offense is your best defense.show more

🚀 We introduce Neural Theorizer (NEO) — a new... type of world model that learns to theorize the world from observation, without language or LLM supervision. Selected as an ICML 2026 oral presentation — 0.7% of submitted papers. The paper asks: "What does it mean to understand the world and build a world model?" Today’s world models are often trained to predict the future: the next frame, next latent state, or next observation. But is prediction enough? We argue that a world model should be a theory-building system: one that discovers reusable primitives, composes them into executable explanations, and transfers those explanations to novel phenomena. NEO is our first step toward this vision — a World Theory Model that learns explicit, compositional theories from raw observation. This work was led by my wonderful students: Doojin Baek*(Doojin Baek), Gyubin Lee* (GyuBin Lee), Junyeob Baek (Junyeob Baek), and Hosung Lee (Hosung Lee). For more details, take a look at the paper — and if you’re attending ICML, let’s talk there! 📄 arXiv: 🌐 Project page:show more

🚀 A better, faster co-folding-based binding affinity model. Predicting... how tightly a drug candidate binds to its target is critical in drug discovery. It also requires massive computational resources. State-of-the-art models can take 20 seconds to a minute per prediction, impractical for the demands of large scale early-stage programs . 💠 Today, Recursion’s Valence Labs is releasing Nesso-1: the fastest open-source co-folding-based binding affinity model available. At 1 second per prediction, it’s roughly 20x faster than our previous collaboration on Boltz-2 while matching or surpassing its accuracy across public and internal benchmarks. By leveraging NVIDIA Healthcare cuEquivariance, we’ve been able to further accelerate both training and inference by an additional 2-3x. We look forward to continuing to improve Nesso-1 in collaboration with NVIDIA. Weights and code are fully open-sourced. The core architectural ideas behind Nesso-1 build on the insight that coarse-grained co-folding representations can match full-atom models for affinity prediction at a fraction of the cost. Nesso-1 is the first open implementation of this approach with no proprietary dependencies, trained entirely on public data, built to be reproducible and extensible. We’re already using Nesso-1 internally in active drug discovery programs. Fast, reliable affinity prediction at scale is foundational to the kind of autonomous design loops that define our vision for Autonomous Precision Design and Nesso-1 is a meaningful step toward that. 👉 Report: 👉 Github: 👉 HF:show more