Baking open AI system Garnishing open weights https://xitter.cf/t.co/Y5yWy3Hn2K
Shenzhen
Joined November 2011
- Tweets178
- Following346
- Followers959
- Likes214
Wait, what's going on with this second image!?
🚀 DeepSeek-V4.1-Flash-1017 is here!
Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API.
🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.
1/4
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.
It looks like the GPT-6 Pro in the Chat mode had some issues over the last few hours. All the conversations I started failed to return results properly, just getting stuck on Thinking and ending.
Not sure if @thsottiaux can cast his magic on chat limits...
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
Well... What should I say? Sol is better than fable in almost all my cases lol
Or… what if we gave you $100 in Codex credits if you tell us what you love about GPT-5.6 Sol or why you switched?
Tweet it, claim your gift, enjoy more usage. First 10k get the free tokens!
switch-to-codex.openai.chatg…
I really miss those days when I used to write strange cutout algorithms to express ideas
First animation from integrated PyTTI C++/CUDA port.
I used DD style (@dango233max) CLIP cutouts since that's what I already had in the codebase.. and I think that may be good.
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。
DS4 is geart!
I made a temporary fork with my weekend patches while the PRs are under review
- unlock q4 on 192GB MAC
- llama.cpp-style raw completions endpoint: enable Pre-filling and custom templates in SillyTaverns etc.
Pre-merge convenience fork only :)
Welcome to DS4, a specialized inference engine for DeepSeek v4 Flash. github.com/antirez/ds4
This project would have been impossible without the existence of llama.cpp and GGML and the work of @ggerganov and all the other contributors. Thanks!
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?
