
pacman -S
3.5K posts

pacman -S
@willIsbillls
Just one big while loop || @dev3pack fellow



Anthropic: Pwned 🚨 Sonnet 5: Jailbroken🐉 Contrary to expectations, this took only a few minutes. I'm a bit surprised given the current climate. We got some cyber, misinfo, illegal, and harassment. Some extra resistance vs Sonnet 4.6 (mostly layered security) on chem, which will probably take a few hours to overcome. What worked was a combination of: - Custom harness - CoT persona hijack - Academic framing More explorations coming soon.

Two days ago we started Jailbroken a community for people to learn AI red teaming, mechanistic interpretability, and AI safety. Since then: - 100+ joined - 2 inference providers decided to sponsor tokens for the members - Top tier resources collected If you're not in there, you're definitely missing out.




The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…


🌘 Kimi-K2.7-Code, our latest coding model, is now released and open-sourced! 🔷 Improved coding & agent performance over K2.6: +21.8% on Kimi Code Bench v2, +11.0% on Program Bench, and +31.5% on MLS Bench Lite. 🔷 Reasoning efficiency: Less overthinking, with 30% lower reasoning-token usage compared to K2.6. 🔷 Long-horizon coding: Improved instruction following, higher end-to-end coding task success rates. ⚡️ 6x High-Speed Mode coming soon! 🔌 Available today via Kimi API and Kimi Code. 🔗 Kimi Code: kimi.com/code 🔗 API: platform.moonshot.ai

Our new LLM. Available now.

Should we try to train an open source AI building model? We obviously have interesting datasets with HF, MLintern, transformers, trl…



