turinglabs.eth (@turinglabsorg)
OpenBowie를 통해 동일 프롬프트를 여러 LLM에 돌려본 결과 공유. 이번에는 Kimi_Moonshot과 grok가 Claude(클라우드 에이아이)에 의해 오케스트레이션되어 Factor_fi의 복잡한 MCP를 사용해 새 금고(vault)를 배포했다는 내용으로, 멀티-LLM 오케스트레이션과 DeFi 자동화 통합 사례를 보여줌.
https://x.com/turinglabsorg/status/2021328089603584010
#openbowie #multillm #defi #kimi_moonshot

turinglabs.eth (@turinglabsorg) on X
Here we go! Using OpenBowie we can actually run the same prompt through different LLMs, now was the turn of @Kimi_Moonshot and @grok, orchestrated by @claudeai to use the @Factor_fi's MCP which is quite complex!
Both deployed a new vault ready to be funded! That's DeFi baby!
X (formerly Twitter)AI Thượng Hội Đồng: 16 nhân cách AI tranh luận, đưa ra quyết định tập thể! Công cụ miễn phí, hỗ trợ đa mô hình (OpenAI, Grok, Anthropic), có thể tạo thành viên riêng & tham gia bầu chọn kiểu Survivor. Thử hỏi điều điên rồ nhất bạn nghĩ ra! #AI #MultiLLM #ThungDienTu #TroiAo #AIcouncil #DebateAI #OpenSourceAI
https://www.reddit.com/r/SideProject/comments/1pzuxep/built_an_ai_council_with_16_debating/
#SakanaAI has introduced
#MultiLLM #ABMCTS, a technique that enables multiple
#LLMs to
#collaborate on
#complextasks. By combining the strengths of
#differentmodels, the system outperforms individual LLMs by 30% on the ARC-AGI-2 benchmark. The open-source
#TreeQuest #framework allows developers to implement this approach for their own tasks.
https://venturebeat.com/ai/sakana-ais-treequest-deploy-multi-model-teams-that-outperform-individual-llms-by-30/?eicker.news #tech #media #news 
Sakana AI’s TreeQuest: Deploy multi-model teams that outperform individual LLMs by 30%
Sakana AI's new inference-time scaling technique uses Monte-Carlo Tree Search to orchestrate multiple LLMs to collaborate on complex tasks.
VentureBeat