Baking open AI system Garnishing open weights https://nitter.gq/t.co/Y5yWy3Hn2K
Shenzhen
Joined November 2011
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Dango233 retweeted
A 30M-parameter model, on CPUs, inside Postgres
It matches a 0.6B dense embedding model on top-100 recall, to within 0.004, and finds more in the top 1,000
Meet Evoke. Open source today.
Dango233 retweeted
Most AI tools only do one part of building a product.
One researches.
One designs.
One writes code.
One generates images.
One deploys.
You still have to connect everything yourself.
II-Agent is different.
Give it an idea, a reference website, or an existing repo.
It researches the opportunity, plans the product, builds the frontend + backend, connects databases & payments, tests it, deploys it — and keeps developing with you.
Don’t just generate code.
Build the product.
Watch it happen ↓
agent.ii.inc
Dango233 retweeted
Make your agent smarter.
The II-Commons skill gives your agent reliable knowledge from arxiv, PubMed & more, plug it in
Repo: github.com/Intelligent-Inter…
Add it to II-Agent: agent.ii.inc
Dango233 retweeted
20 years ago, my first startup was all about enterprise search. Two decades later, we’re still building search engines. The technology has shifted from NLP to NN and the users from humans to agents. but searching is still the core. opensource the fastest bm25 engine:
Dango233 retweeted
我們開源了這顆星球🌎上速度最快的低成本 bm25 引擎。
Dango233 retweeted
我们始终还是相信 multi-agents 是必须的，尽管很多公司都认为它实现起来难度太大。我承认确实比预期困难一些，但是这应该是目前最“不一样”的多agent框架了。这个视频中每个节点都是agent，没有工作流，它们是自组织的，诞生，合作，互相攻击和死亡都是自主行为。
Dango233 retweeted
Unstructured intelligence = chaos
Most agent frameworks ship without a nervous system: deadlocks, context loss, vacuum hallucinations.
We built Common Ground to fix this, agents coordinate on a shared protocol.
Dango233 retweeted
我参与了中文版翻译工作。希望把关于 AI 时代经济与治理的讨论带给更多中文读者，欢迎大家指出任何翻译/术语建议。虽然AI已经能做大部分翻译任务，但翻译过程中还是有很大量的人类对齐工作，尤其一些概念中/英差距很大，又要兼顾原作者表达的语气和方式，整个工作体验还是很有意思的。
你好，中国的朋友们！
《The Last Economy》中文版现已上线，可在我们网站免费阅读。
“The Last Economy” by @EMostaque is now available in Chinese
What language should we do next?
Dango233 retweeted
Our state of the art open source general purpose agent hits V1
Feature equivalent to Replit / Manus / Genspark etc, to make websites to presentations and more connected to all your other tools
Readying open repo update in a week or two, give it a try and give feedback!
Dango233 retweeted
II-Agent V1 is here.
The AI agent built for real work is finally out of beta.
Faster, smarter, and production-ready. It’s time to change how you build.
👇 Let’s see what’s new.
Dango233 retweeted
Find research faster with II-Commons
Search arXiv + PubMed
(web app + Agent demo, API/MCP/A2A)
Beta now live for II-Accounts
Dango233 retweeted
While building II’s open stack, we put together a Gemini-CLI → MCP+OpenAI a bridge to access the tools + model in our tests.
This lets any MCP-savvy agent tap Gemini + its tools via your gemini-cli instance!
Dango233 retweeted
II-Medical-8B-1706 is our latest state of the art open medical model 💡
Outperforms the latest @Google MedGemma 27b model with 70% less parameters 🤏
Quantised GGUF weights, works on <8 Gb RAM 🚀
One more step to the universal health knowledge access that everyone deserves ⚕️
Dango233 retweeted
II-Commons
Infrastructure for shared knowledge.
Transparent. Distributed. Open source.
The foundation for trustworthy AI.
Dango233 retweeted
II-Researcher sets a new high on the @GoogleDeepMind FRAMES RAG benchmark with 80% accuracy.
Read the in-depth blog post, use the open source code & try it out yourself.
Dango233 retweeted
♊ Introducing II-Researcher: Our open-source AI research agent with strong benchmark performance ♊
🚀 Key highlights:
• New open-source framework for complex, multi-step search with reasoning tasks— a powerful, transparent alternative to proprietary systems
• Two methods were implemented: finite state machines and tool-augmented thought processes with advanced reasoning models (R1 & QwQ)
• Consistently delivers strong performance on GAIA and FRAMES benchmarks
Come build with us and use II-Researcher!
