Your project probably isn’t needed. Prove us wrong! Kill Switch Live returns for EP. 5 this Friday, Nov 21st at 2PM EST. 5 projects. 1 live arena. Zero spin. This is not about hype. It’s about necessity. 99% of new protocols are pure BS. So why does yours deserve to exist? Who will be stepping into the arena for EP. 5? 👇 1.@AIPowerGrid 2.@thepipegdao 3.@NeuralNetCoin 4.@interniccm 5.@realclownicp Smash that reminder in the post below!

Now @OpenAI officially announce they are doing this: violating user rights, and human rights as well. Anyone being routed by using simply any random words from dictionary like “home”, “friend”, “National Geographic” might feel like being treated like SECOND-CLASS CITIZEN, or fraud since paying the same amount for a promised product but they downgrade to another one. I wonder why the regulators haven’t done anything about this yet..

🇨🇳 China's Zhipu AI released its GLM-4.6 open-sourced LLM. Competitive with Claude Sonnet 4. Expands context to 200K and upgrades agentic coding and reasoning. In live multi-turn tasks it reaches a 48.6% win rate vs Sonnet 4 with 9.5% ties, and it uses about 15% fewer tokens than 4.5 and roughly 30% fewer than some domestic peers. On context-window, the jump from 128K to 200K gives about 56% more working memory so longer projects, deeper tool traces, and bigger browsing sessions fit in one run. Average tokens per round drop from 762,817 to 651,525, lowering cost and latency for long agent loops without cache. Tool use and search integration are tighter so multi-step plans execute more reliably, and writing and role-play follow style instructions more cleanly. The model is open-weight under MIT, weights are arriving on HF and ModelScope, it serves with vLLM or SGLang, and it plugs into Claude Code, Cline, Roo, and Kilo. This looks like a strong open option for agentic coding with big context and solid efficiency, but teams chasing peak coding accuracy may still favor Sonnet 4.5.