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introducing swarm: an experimental framework for building, orchestrating, and deploying multi-agent systems. 🐝 github.com/openai/swarm

Amjad's Law: the return on learning to code is doubling every 6 months.

We asked, you answered — our State of AI Agents Report is here! 🤖✨ We surveyed 1300+ industry professionals, from developers to business leaders, on how they're using AI agents today — and the results are in. What are the top use cases for agents? The biggest challenges

Unstated but kind of interesting fact: this 7B is better at coding on most benchmarks than the 105B Command R+.

innovation happens due to childlike wonder, innocence, not accepting the world the way you’re given the world. innovation is childlike. it’s pure. it’s naive. innovation is a very childlike thing to pursue. it doesn’t come from a place of greed or competition; true innovation

Reddit has always been the best search engine—just held back by its UX. Reddit launching 'Answers' changes everything.

For the past six months, I haven't checked email directly, but rather have relied on an AI email assistant to triage and draft emails for me This is an example of an "ambient agent" We're open sourcing the code today, as well as a hosted version for people to try out 👇

My o1-based AI programming agent is now state of the art on SWE-Bench Verified! It resolves 64.6% of issues. This is the first fully o1-driven agent we know of. And we learned a ton building it.

Announcing Pig Windows Desktops for Agents

Introducing Autodelve 🤖⚡️ YC-backed AI customer support tools quoted us nearly $20,000/yr for a simple Discord Q/A bot. So built our own with Cursor in 2 hours and made it open source. Fork the repo, index your docs site, and get answers in Discord in under 5 minutes

I strongly believe AIs will create *more* secure, more correct, and more performant software than humans. The “vibe” in vibe coding should speak to the creative direction style, rather than the quality of the output. This is certainly our goal with v0, prevent slop at all

Introducing Gemini 2.5 Pro Experimental. The 2.5 series marks a significant evolution: Gemini models are now fundamentally thinking models. This means the model reasons before responding, to maximize accuracy -- and it’s our best Gemini model yet. Blog -

Our Llama 4’s industry leading 10M+ multimodal context length (20+ hours of video) has been a wild ride. The iRoPE architecture I’d been working on helped a bit with the long-term infinite context goal toward AGI. Huge thanks to my incredible teammates! 🚀Llama 4 Scout 🔹17B

here i'm running 12 - 16 claude 4 opus/sonnet code agents through claude code bridged to eigencode for coordination, additional memory layers & additional tools they're running 95% autonomously with minimal input for several hours straight

Codex was a key co-author of our new Agents SDK for TypeScript! 261 tasks handled, 103 PRs merged, and bugs caught early. Check out dominik kundel’s thread for all the details:

this could open an entire new category of ai products where the unit economics just couldn't have worked before.

I'm really impressed by the new Gemma 3n I tried a 7.5GB model from Ollama and a 15GB model through mlx-vlm - they seem very capable, and this is the first model of that size I've tried that can handle both image AND audio input in addition to text! simonwillison.net/2025/Jun/26/ge…

Claude Code is going multi-agent! One of the features I've been most excited about releasing, Sid is so cracked

Blindly following your curiosity is deeply underrated, creating demos is how we excavate model capabilities, and you have a moral obligation to apply the unique context of your life to further the field of computing. here’s a brief talk I gave on those ideas: