we're hiring btw https://t.co/vmlfTqbz8O https://t.co/hgfhVViQg5

we're hiring btw https://t.co/vmlfTqbz8O https://t.co/hgfhVViQg5

Today we're launching local scheduled tasks in Claude Code desktop. Create a schedule for tasks that you want to run regularly. They'll run as long as your computer is awake. https://t.co/15AYd0NHqR

New survey on agentic reinforcement learning for LLMs. LLM RL still treats models like sequence generators optimized in relatively narrow settings. However, real agents operate in open-ended, partially observable environments where planning, memory, tool use, reasoning, self-improvement, and perception all interact. This paper argues that agentic RL should be treated as its own landscape. It introduces a broad taxonomy that organizes the field across core agent capabilities and application domains, then maps the open-source environments, benchmarks, and frameworks shaping the space. If you are building agents, this is a strong paper worth checking out. Paper: https://t.co/qwXZNSp0ZA Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

Not a bad situation monitoring setup @jxnlco https://t.co/8uWMpamMKE

@SIGKITTEN @pdrmnvd https://t.co/oZpxlVOiGP

How it started. How it’s going Thanks @swyx https://t.co/OAQFjJW82S

Codex seamlessly auto-compacting and continuing the task https://t.co/EGjNl9QYG2

Codex seamlessly auto-compacting and continuing the task https://t.co/EGjNl9QYG2

i'm asian so its ok to say this https://t.co/JxuCRhjg4z

i'm asian so its ok to say this https://t.co/JxuCRhjg4z

SkillNet Create, Evaluate, and Connect AI Skills paper: https://t.co/k9gIkLsgPE https://t.co/5tAkG7AVGt

DARE Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval https://t.co/Jeo3lOI9ru

DataClaw🦞datasets are first class on Hugging Face datasets!! Full visibility into the reasoning, tool calls and thousands of Claude Code and Codex sessions on the hub https://t.co/Ooq9cGciGt

Zero code to protein pipeline now on @huggingscience 🤗 As a part of the PDW hackathon, the organizers built inference spaces for: 🧬 RFDiffusion 🧬 RosettaFold3 🧬 BoltzGen2 (+ soon to be MCP servers) https://t.co/qMrYQXFXPD

Yuan3.0 Ultra 🔥 A 1T multimodal LLM from YuanLab https://t.co/6hleo11DtL ✨ 64K context ✨ Enterprise-ready: RAG, summarization, Text-to-SQL ✨ 103-layer MoE w/ LAEP (49% efficiency boost) https://t.co/ZxWi0yazAC

Yuan3.0 Ultra 🔥 A 1T multimodal LLM from YuanLab https://t.co/6hleo11DtL ✨ 64K context ✨ Enterprise-ready: RAG, summarization, Text-to-SQL ✨ 103-layer MoE w/ LAEP (49% efficiency boost) https://t.co/ZxWi0yazAC

💥 New example out! Deploy @Microsoft VibeVoice-ASR on Microsoft Foundry with @huggingface for multi-lingual STT! Structured output with Who (Speaker), When (Timestamps), and What (Content), up to 60 minutes in a single pass. Step-by-step in the thread 🧵 https://t.co/f6D0QvUixA

ah yes, this is what post-agi feels like :) i didn't touch anything. brb sauna https://t.co/odILIDAQaF

https://t.co/0j0jKrGDqc

https://t.co/0j0jKrGDqc

McDonald’s CEO is playing 10D chess. Sets the bar low with Big Arch review. Comes back talking “beef notes” and “‘mouth feel” on McChicken Big Mac. Turns out he’s a Harvard MBA and latest IG post is about how he’s been asking Gemini to pitch new product ideas and it suggested McRib Nuggets (!!!) and more Korean sauces. Now, McDonald’s stock has an AI narrative and we all know about it because of the viral attention his Big Arch stunt has created. We all been played like a fiddle. Respect.

We’re launching Codex for Open Source to support the contributors who keep open-source software running. Maintainers can use Codex to review code, understand large codebases, and strengthen security coverage without taking on even more invisible work. https://t.co/ulWYlf7zhz https://t.co/4WexIEcNms

Another weekend another hackathon 👀 https://t.co/g6Jypg0Vuv