BNY CFO says bank is monitoring AI spend to avoid overspending

A Reddit poster says Qwen 3.8 FN solved a work problem requiring local-model privacy with the same skill as a frontier cloud model. The task involved tracking students and supervisors for an MSc dissertation module.

Community inference engines and quants run the 125B–177B MoE model on setups as small as 8 GB VRAM plus 32 GB RAM, with one report hitting 900 t/s prompt processing and 30 t/s generation. capy-flash v0.7.1 runs the 125B model in 64 GB RAM at 234 tok/s on two 16 GB cards.

OpenAI released dots at its late-September developer day; it's available in ChatGPT desktop and mobile to Pro-tier subscribers and up, with plans starting at $100/month. Enterprise product lead Alexander Embiricos said much of dots' functionality was already reachable via the Codex coding app, but required more hand-holding.

The New York Times Style section profile, by Alexandra Alter, centers on Mayer struggling with a task for her daughter Marielle's 10th birthday before turning to her new AI startup Dazzle. Daring Fireball's John Gruber criticizes the piece's framing of Mayer.

A growing patchwork of AI security benchmarks each measures different variables, and none substitutes for testing models against your own code and workflows, Dark Reading reports.

A r/LocalLLaMA post claims all winning notebooks in this year's ARC-AGI-3 Kaggle competition will be Qwen-3.8-FN agents unless something changes within a week. The author hedges that the model's capabilities are only "supposedly" established.

A developer who started with ChatGPT and moved to Gemini 1.5 Pro says they regret not trying Claude sooner for AI-assisted coding. The post describes directing the model on functions and design systems rather than pure vibe coding.