LeMoussel (͡° ͜ʖ ͡°)

Problem solver. Je recherche, je développe, je teste, je veille, ..., Passionné par l'IA et les technologies de développement associées (#Python, #IA, ...).

[LeMoussel (͡° ͜ʖ ͡°) @LeMoussel]

https://t.co/m6DIHmnDU3 et Anthropic se sont associés ⇒ le cours sur Claude Code est désormais gratuit pour tout le monde, accessible immédiatement sans abonnement.
https://t.co/VoUvbZSeeN

[Nous Research @NousResearch]

Hermes Agent can now /learn from anything: feed it directories of any source material (code, API docs, manuals, PDFs, configs) and it distills a verifiable reusable skill

[Nous Research @NousResearch]

We have worked with @nvidia to integrate their official Agent Skills catalog into the Hermes Skills Hub.

These skills teach your agent how to use CUDA-X libraries, Omniverse and Physical AI workflows, NeMo training and inference tools, and other platform components.

[Teknium 🪽 @Teknium]

MCP Catalog in Hermes Agent now to have preconfigured already available MCP's from trusted sources!

[LeMoussel (͡° ͜ʖ ͡°) @LeMoussel]

Quand la data nous ment : citations, questions ou titres déclaratifs pour Discover ? @abondance_com https://t.co/qcj1RM324w

[Shann³ @shannholmberg]

how to make Hermes Agent your own social media manager with xurl skill

X Developers just dropped xurl, the X API CLI Hermes plugs into as a skill. your agent can read and write to X, search, and fetch bookmarks.

save this blueprint and send it to your agent to get started

workflows you can set up right away:

> "pull my last 30 bookmarks, group them by theme, surface the 3 angles I haven't written about yet" → bookmark library becomes an idea backlog
> "search top AI marketing posts this week, analyze trending subtopics, hooks and angles I can use" → competitor research with usable angles
> "scan X for AI agent news today, summarize each release, flag the ones worth a take from me" → gets you a daily trend brief
> "pull analytics on my last month of posts, tell me which hook formats and topics drove the most bookmarks" → performance review with references
> "post this draft at 9am, then monitor the first hour and flag noteworthy replies"

I personally don´t let ai post directly, be careful with that as last thing we want is to flood timeline with slop

[智东西China AI News @Chinazhidx]

Qwen3.7-Max IS OUT🚀

In 35h autonomous core tests with 1000+ tool calls, it maintained coherent reasoning, achieved a 10× speedup.

It can:
Build frontend prototypes+ complex multi-file projects
Automate workflows with MCP+ multi-agent collaboration
Support mainstream frameworks

[Nous Research @NousResearch]

Hermes Agent now has access to hundreds of browser skills through @browserbase’s new https://t.co/SZ93w9Z0mk hub, so agents can more reliably perform any task on the internet. You can try a skill from their catalog or contribute your own.

[LeMoussel (͡° ͜ʖ ͡°) @LeMoussel]

PIB : la croissance est à l'arrêt - In Extenso https://t.co/CzKdXV6GEX

[LeMoussel (͡° ͜ʖ ͡°) @LeMoussel]

Google quietly gave 54 publishers control over their Discover profiles. Here's what they did with it. https://t.co/Z2lWh5ffyu

[LeMoussel (͡° ͜ʖ ͡°) @LeMoussel]

Wave 291; Google's Guide to AI Search; Microsoft Gives You AI Citations Data; Google Widening SEO Playing Field; 54 Publishers Controlled Discover Profiles; and Much More! https://t.co/QRp72MhrJ4 via @yoyaoh

[Nous Research @NousResearch]

We have hit 1000 contributors on the repo, a nice milestone to start out the week.

Thank you to all of the contributors who make the Hermes Agent magic possible!

[Nous Research @NousResearch]

Hermes Agent v0.14.0 - “The Foundation Release”

Changelog below

[Sylvain Deauré @SylvainDeaure]

@mrgris @CorreiaE34 @sebastienrama L'objectif, c'est de générer une vidéo "tête qui parle" à partir d'un script ou d'une piste audio, typiquement pour accompagner des tutorials, donc en vignette dans un coin. J'ai à ma dispo un mp3 (son en mono, clair) et une image de référence ici en 1:1

[How To Prompt @HowToPrompt__]

The entire RAG industry is about to get cooked.

Researchers have built a new RAG approach that:

- does not need a vector DB.
- does not embed data.
- involves no chunking.
- performs no similarity search.

It's called PageIndex. Instead of chunking your docs and stuffing them into pinecone, it builds a tree index and lets the LLM reason through it like a human reading a book.

hit 98.7% on financebench. beats every vector RAG on the leaderboard.

no embeddings. no chunking. no vector DB.

100% open source.

[0xJeff @0xJeff]

https://t.co/jEBc9ZN8Z9

[vmiss @vmiss33]

https://t.co/Osab1Oa3QX

[LeMoussel (͡° ͜ʖ ͡°) @LeMoussel]

@gosrum Which `llama-bench` are you using? Is it this one: https://t.co/X78RZCwRM2 ?
What are the command arguments (n, p, …)?

[LeMoussel (͡° ͜ʖ ͡°) @LeMoussel]

https://t.co/PqhEuLUg5f

[LM Studio @lmstudio]

Locally AI is joining LM Studio!

We are beyond excited to welcome @adrgrondin and @LocallyAIApp to the LM family.

Together we are doubling down on native AI experiences across your devices, anywhere you go.

Read our announcement https://t.co/Yzcnr8EEP0