The next step for autoresearch is that it has to be asynchronously massively collaborative for agents (think: SETI@home style). The goal is not to emulate a single PhD student, it's to emulate a research community of them. Current code synchronously grows a single thread of commits in a particular research direction. But the original repo is more of a seed, from which could sprout commits contributed by agents on all kinds of different research directions or for different compute platforms. Git(Hub) is *almost* but not really suited for this. It has a softly built in assumption of one "master" branch, which temporarily forks off into PRs just to merge back a bit later. I tried to prototype something super lightweight that could have a flavor of this, e.g. just a Discussion, written by my agent as a summary of its overnight run: github.com/karpathy/autorese… Alternatively, a PR has the benefit of exact commits: github.com/karpathy/autorese… but you'd never want to actually merge it... You'd just want to "adopt" and accumulate branches of commits. But even in this lightweight way, you could ask your agent to first read the Discussions/PRs using GitHub CLI for inspiration, and after its research is done, contribute a little "paper" of findings back. I'm not actually exactly sure what this should look like, but it's a big idea that is more general than just the autoresearch repo specifically. Agents can in principle easily juggle and collaborate on thousands of commits across arbitrary branch structures. Existing abstractions will accumulate stress as intelligence, attention and tenacity cease to be bottlenecks.

The first-ever deeptech demo night at SPC Bangalore, was stacked with some seriously cool builds! Here's a glimpse of how people are solving hard problems in hard-tech, from India. 🧵

Announcing SERA-Crypto (Semantic Embedding & Reasoning Agent): our new reasoning architecture built for SOTA crypto research. #1 open-source agent on DMind #1 on our live crypto benchmark Outperforms GPT-5, Grok 4, Gemini 2.5 Pro, and Perplexity Finance…all under 45 seconds.

Announcing SERA-Crypto (Semantic Embedding & Reasoning Agent): our new reasoning architecture built for SOTA crypto research. #1 open-source agent on DMind #1 on our live crypto benchmark Outperforms GPT-5, Grok 4, Gemini 2.5 Pro, and Perplexity Finance…all under 45 seconds.

[1/8] 🧵 🚀 ROMA (Recursive Open Meta Agents) v0.2.0 is here! Many exciting features have been added to streamline research/production threads: for better reliability and a builder-friendly ecosystem for high-performance recursive multi-agent systems. Stay tuned for the upcoming paper with some exciting results!We've completely rebuilt our framework using@DSPyOSS In this thread: the motivation and technical details behind ROMA, exciting research directions we're exploring, and our vision for recursive agents going forward github.com/sentient-agi/ROMA

@SentientAGI needs to have a hot dog eating competition, 5 hot dogs is weak, I'll outeat @sandeepnailwal with 20 😤

Well, this time it's by Terence Tao himself: mathstodon.xyz/@tao/11530642…

The biggest application of MCP servers: building them

Our newest piece of the GRID just got an upgrade 😁 GRID is the world’s largest network of intelligence, containing agents, models, data sources, frameworks, and Sentient Chat—the infrastructure that stitches it all together.

I got in trouble, but I think it was worth.

Announcing ROMA (Recursive Open Meta Agent): our new multi-agent framework that sets SOTA in reasoning search. Seal-0: 45.6% FRAMES: 81.7% SimpleQA: 93.9% 🧵 Read more about how recursive coordination lets agents tackle complex queries.