凡尘
7K posts


Or… what if we gave you $100 in Codex credits if you tell us what you love about GPT-5.6 Sol or why you switched? Tweet it, claim your gift, enjoy more usage. First 10k get the free tokens! switch-to-codex.openai.chatgpt.site













There seems to be some confusion on what ChatGPT plans give you, and what bonuses are active right now. I got you. ChatGPT Plus $20 = 1x NO ACTIVE BONUS ChatGPT Pro Lite $100 = 5x with a 2x Bonus (10x) ChatGPT Pro $200 = 20x with a 2x Bonus (40x) The bonus is ONLY for Pro plans. It includes BOTH $100 & $200 Tiers They both end May 31st. THANK YOU FOR YOUR ATTENTION TO THIS MATTER. SIGNED AMW

🚀 Qwen Code v0.14.0 – v0.14.2 are now available Channels:Control Qwen Code remotely from Telegram, DingTalk, or WeChat — send a message from your phone, get results on your server Cron Jobs :Schedule recurring AI tasks — auto-run tests every 30 min, pull & build every morning, monitor logs on a timer Qwen3.6-Plus :New flagship model with 1M token context, 1,000 free daily requests Sub-agent Model Selection:Assign different models to sub-agents — use a powerful model for the main task, a fast one for subtasks, save tokens without sacrificing quality /plan:Enter planning mode before execution — AI maps out all files and steps first, you confirm, then it executes Follow-up Suggestions:AI suggests 2-3 next steps after completing a task — "Add unit tests?" "Check similar files?" — click to continue Adaptive Output Tokens :Default 8K output, auto-escalates to 64K when truncated — no more manually tuning max_tokens Ctrl+O Verbosity Toggle :Switch between verbose and compact output mid-conversation — debug mode when you need it, clean mode when you don't 📋 Full changelog: github.com/QwenLM/qwen-co…






GPT-6 rumored for April 14 from @iruletheworldmo Unverified leak but the details are worth watching through a hardware lens 2M token context window Natively multimodal $2.50/$12 per million tokens “Superapp” merging ChatGPT, Codex, and Atlas browser into one agent Now connect this to what just happened with @AnthropicAI @bcherny confirmed Anthropic is deprioritizing third-party tool access because agentic workloads don’t fit their capacity model. OpenClaw got cut from subscriptions. Token rationing is here Two of the biggest AI labs are telling you the same thing at the same time: Agentic compute demand is outrunning infrastructure Anthropic can’t efficiently serve it on TPUs. OpenAI is allegedly throwing every GPU at their next model and killing Sora to free up capacity. Both are rationing access This is the Co-Design Thesis The models are ready. The software is ready. The hardware isn’t keeping up. And the hardware that handles agentic workloads best (dynamic, unpredictable, CPU+GPU coherent, memory bandwidth dense) is NVIDIA 2M token context? That’s a Memory Wars problem. KV cache at that scale requires HBM4-class bandwidth. There is no workaround Every frontier lab is converging on the same bottleneck. And Jensen has been building for it for three years The race isn’t to build the best model anymore anon The race is to serve it









