Discussion

• @gergely.pragmaticengineer.com Gergely Orosz on bluesky

  Cognition's article, discuss why it's too hard to build multi-agent systems (for them, at least) cognition.ai/blog/dont-bu...  Anthropic explaining how they overcame engineering challenges to build a multi-agent system: anthropic.com/engineering/...

• @timkellogg.me Tim Kellogg on bluesky

  pretty strong argument for multi-agents  —  www.anthropic.com/engineering/ ...  [image]

• @anthropicai @anthropicai on x

  New on the Anthropic Engineering blog: how we built Claude's research capabilities using multiple agents working in parallel. We share what worked, what didn't, and the engineering challenges along the way. https://www.anthropic.com/...

• @melissapan Melissa Pan on x

  multi-agent outperforms single agent by 90.2% is very interesting. One reason we haven't seen multi-agents winning is that existing benchmarks are rather “simple.” This makes multi-agents seem more like a PoC than a necessity, which is not a true reflection of MAS's capability.

• @andrewcurran_ Andrew Curran on x

  Claude Opus, coordinating four instances of Sonnet as a team, used about 15 times more tokens than normal. (90% performance boost) Jensen has mentioned similar numbers on stage recently. GPT-5 is rumored to be agentic teams based. The demand for compute will continue to increase.…

• @mikeyk Mike Krieger on x

  Our engineering & research team put together a deep dive on the multi-agent system that powers our Research capability in Claude[dot]ai; lots of fun details architectural diagrams, and prompting learnings here: https://www.anthropic.com/...

• @geniebrandini Brandon Guo on x

  @AnthropicAI just dropped a better future-facing AI market map than any VC, and it's a visualization of common Claude use cases craigslist was the great bundling-unbundling of internet 2.0 this map will be the great bundling-unbundling of machine intelligence @deedydas [image]

• @simonw Simon Willison on x

  My notes on Anthropic's substantial essay about how they built their multi-agent research system, which has finally talked me around to taking multi-agent LLM prompt engineering seriously https://simonwillison.net/...

• @neilhtennek Kenneth on x

  “There's so much useful, actionable advice in this piece. I haven't seen anything else about multi-agent system design that's anywhere near this practical.” Agents are are real and they are here! This is a great breakdown of our latest work.

• @swyx @swyx on x

  every single cluster of these is a viable startup btw my contribution to @saranormous' excellent @aidotengineer talk about how to become a gpt wrapper millionaire is “take something people are ALREADY doing in raw chat and pave the cowpath” in every million copy pastes to/from

• @manosaie @manosaie on x

  Fascinating research on multi-agent systems from @AnthropicAI Excellent notes from @simonw My favorite part is when you let the AI teach itself how to be better [image]

• @deedydas Deedy on x

  Anthropic's latest data drop shows Claude is used for a lot more than software and text. 1. Sports betting strategies 2. Explaining religious texts 3. Performance enhancing substances 4. Drafting legal documents 5. Financial market trading 6. Optimize video games [image]