Bee A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs
OPEN SOURCE
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Metis AIPU Docker x86 AI Hardware Acceleration Option
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AI hardware option for balenaOS when our Metis AIPU now runs fully in Docker on x86. What’s really interesting:
– Custom kernel unlocks container-native AI acceleration
– Manual driver builds = reproducibility & compliance at scale Details https://
eu1.hubs.ly/H0nXSHp0 -
Claude’s Skills Transform AI into Specialists
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Skills turn Claude from a generalist into a specialist instantly. You’re not prompting an assistant anymore. You’re deploying experts. Full details on the Anthropic blog: https://
anthropic.com/news/skills -
Claude’s Dynamic and Composable Expertise
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1. Dynamic Expertise
— God of Prompt (@godofprompt) 17 octobre 2025
Claude now scans your available skills and automatically loads only what’s relevant to the task.
No bloat. No latency. Just the right expertise, when needed.
2. Composable + Portable
Skills stack together like Lego pieces.
Build once → use across Claude… pic.twitter.com/EkFYL92IeN1. Dynamic Expertise Claude now scans your available skills and automatically loads only what’s relevant to the task. No bloat. No latency. Just the right expertise, when needed. 2. Composable + Portable Skills stack together like Lego pieces.
Build once → use across Claude -
AGI Jobs v0: Operating System for AGI Work Launch
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[ AGI Jobs v0 : "The Operating System for AGI Work" ] AGI Jobs v0 (v2) truly enables the construction of unprecedented, scalable, utility‑maximizing systems …” — and then does it. GitHub : https://
github.com/MontrealAI/AGI
Jobsv0
… $AGIALPHA #AGIALPHA #ASIFirst -
Meta’s ScaleRL reveals predictable RL scaling laws
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Holy shit… Meta just cracked the art of scaling RL for LLMs. For the first time ever, they showed that "reinforcement learning follows predictable scaling laws" just like pretraining. Their new framework, 'ScaleRL', fits a sigmoid compute-performance curve that can forecast
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Zed Now Supports Codex Integration Through ACP
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Codex @zeddotdev As of today, Zed supports Codex out-the-box via ACP!
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RiskPO: Risk-Based Policy Optimization for LLM Post-Training
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#PapersAccepted by Jiqizhixin
Our report: https://
mp.weixin.qq.com/s/9TbUIT6ed_wO
viVU0GuLqg
… RiskPO: Risk-based Policy Optimization via Verifiable Reward for LLM Post-Training Peking University
Paper: https://
arxiv.org/abs/2510.00911
v1
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Code: https://
github.com/RTkenny/RiskPO -
Release AI Models and Datasets to Community
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Really cool! You should release some models or datasets in open-source for the community!
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Google AI Breakthroughs Accelerate Cancer Research Discovery
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AI is rapidly accelerating scientific discovery and contributing to the effort to better understand cancer. We're proud to announce two major open-source breakthroughs from @GoogleResearch and @GoogleDeepMind that demonstrate the immense potential of AI in this field:
— Google AI (@GoogleAI) 16 octobre 2025
First,… pic.twitter.com/BC5elPFmNJAI is rapidly accelerating scientific discovery and contributing to the effort to better understand cancer. We're proud to announce two major open-source breakthroughs from @GoogleResearch and @GoogleDeepMind that demonstrate the immense potential of AI in this field: First,