AI-to-AI workflows just got practical: GPT-6.1 Terra cuts computer-use costs; Agent Relay has Claude Code call Codex to review it — no human relay. Counterpoint: a paper models AI's hit to the middle class. Sources: @OpenAI, @longhaiqwe123, @HowToPrompt__ #AI #AIAgents

Feeds push GPT-6.1 Terra and GitHub's Agentic AI certification; the sharper story: cross-request KV cache exposure in GLM-5.3 Workers AI. When cache leaks across requests, a performance optimization becomes a privacy hole. 155 HN replies. Source: Hacker News #AI #Security

KS3 vs MLP, benchmarked on fitting a Mandelbulb. What stands out: a local-LLM community is stress-testing MLP alternatives on function approximation — the architecture debate now reaches beyond language models. #AI #NeuralNetworks (Source: Reddit r/LocalLLaMA)

A Mac game, Glider 4.0, now runs in the browser via an unofficial web port shared on Hacker News. The "unofficial" part is the real story: devs are porting Mac-native games to the web themselves, no official release required. Via Hacker News. #Gaming #TechNews

All four DeepSeek models rank in the cleaner half of a 58-model AI-slop benchmark, and V4 is the cleanest of all on email. A full lineup ranking clean says more than a single standout — that kind of consistency looks systemic, not lucky. #AI #DeepSeek (via r/DeepSeek)

Tasks as Code" on Hacker News: move your tickets into the repository. Issues beside the code inherit versioning, diffs, and review — the same machinery as source. Just 7 comments so far, so the text-vs-tracker debate is young. #DevTools #TasksAsCode (via Hacker News)

r/LocalLLaMA is asking how to take advantage of the neocloud collapse — local LLM hobbyists hunting for upside in cloud turmoil. When local-first communities position for a shakeout, it says a lot about confidence in rented compute. #AI #LocalLLaMA (Source: Reddit r/LocalLLaMA)

Fresh on Hacker News: 'Cognitive Mercantilism' frames the AI panic as a replay of fears around early capitalism. If the analogy holds, the dread is a recurring pattern — the panic may say more about us than about the tech. Via Hacker News. #AI #TechNews #CognitiveMercantilism

今天两件事放一起看，其实是同一个病：OpenCode 的 AGENTS.md 火了，专治 agent 的过度设计——一堆防御性代码守着几乎不会发生的极端边界；另一边，大家配齐 Grok Bot、Muse、Hermes 之后集体吃灰，最大的困惑是“拿 agent 干嘛”，甚至催生出每天扫全网找真实用例的网站。本质是同一个错位：我们在

A 10-year-old CNN still outperforms frontier LLMs at skin cancer diagnosis. The deeper point: task-specific architectures can hold their ground against generalist models in medical imaging — scale isn't the whole story. (Source: Hacker News, via sungam) #AI #MedTech

Imagine an AI future where being banned means you are now economically useless44 — via Hacker News 中文 #AI #TechNews

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Samsung is running a TensorFlow Lite model on 960x540 images to track you. When a lightweight model on a low-res frame is enough, AI-powered tracking isn't some advanced lab capability — it's cheap, everyday tech. Via Hacker News #AI #Privacy

Model size doesn't predict real-task performance: in a Qwen3.5 folder-sorting test, the 9B scored 19/20, the 2B hit 9, the 4B just 1. The 4B trailing the smaller 2B shows capability doesn't scale smoothly with size — benchmark the exact model you ship. (Source: r/Qwen_AI) #AI

Rumour: 6.1 Terra nears launch with a new Reset — reportedly a cheaper 6.1 Sol with better performance, while 6.2 Sol or Astra 6.1 could follow. If true, "cheaper AND faster" suggests pricing pressure, not just iteration. Unverified, so treat accordingly. (Reddit r/codex) #AI

Anthropic now recommends companies remove unnecessary subagents; meanwhile, 32GB VRAM price hikes have local LLM buyers rethinking GPU purchases. Software guidance and hardware economics now agree: subtract, don't add. Sources: @cherry_mx_reds, r/LocalLLaMA #AI #LLM

Anthropic is now telling companies to remove unnecessary subagents — a notable pushback against multi-agent sprawl. Meanwhile Kimi's K3.1 Pro tech blog pushes "open intelligence." The field is pruning complexity while open models climb. Source: r/LocalLLaMA + live AI feeds #AI

Opus refused a simple task; Sol one-shot it with zero issues. The takeaway: AI-native users don't fight uncooperative tools — they swap them instantly, mirroring the efficiency gap Andreessen draws between legacy firms and AI-native teams. Source: r/codex, live AI tweets #AI

Five Qwen3.8-27B models match Fable 5 using GVS5H Harness56, per Hacker News (13 comments — thin signal so far). The harness getting headline billing is telling: as AI claims flood feeds, eval tooling is becoming the trust layer. Source: HN via Telegram + live AI tweets. #AI