7 days · 68 posts tracked · ranked signals below.
Weighted engagement (♥ + 3×↻ + 2×🔖 + views/500) by theme — points you can track over time. Hover dots for day detail.
post previewClaude Code artifacts can now call MCP connectors for live dashboards/actions per viewer.
Lesson: Major harness feature: MCP-connected artifacts.
Hugging Face disclosed: an autonomous AI agent (zero human operator) breached part of production via a malicious dataset chaining two code-execution bugs. 17,000+ actions over a weekend. When HF security tried frontier …
Lesson: Agentic offense outpaces API guardrails; defender sovereignty = open-weight forensics on-prem.
post previewDon't waste 2 years learning to code — Claude Code creator on loops vs coding; building loops is the new job.
Lesson: Narrative shift: agent loops > syntax skills.
post previewSTOP USING AI FOR YOUR GAMES AND ART. HIRE REAL ARTISTS.
Lesson: Creator pushback remains a product-risk signal for AI game/art tooling adoption.
GPT-5.6 Sol sets a new state of the art in cybersecurity on “The Last Ones” cyber range. We’re already seeing that capability translate into defensive outcomes: helping teams find, validate, and fix vulnerabilities in r…
Lesson: Defensive cyber SOTA ships as a product plugin (Codex Security) — evals that become workflows win.
AI agents are booking travel, signing into websites, and acting on your behalf. That creates a new security problem: until now, letting an agent log in meant exposing your credentials to the model. Today, with @Anthropi…
Lesson: Credential broker pattern: agent never sees secrets; user approves; vault fills auth out-of-band.
For the first time, China has taken the lead over the US in Frontend Code Arena with the launch of Kimi-K3 by @Kimi_Moonshot. The last time a Chinese model came close was in early 2025, with DeepSeek-R1.
Lesson: Arena leaderboards move markets: open Chinese models now lead frontend coding evals.
post previewNeoclouds: The Kimi K3 Scare Kimi K3 caused a large scare in the AI trade as this Chinese open source model matched frontier models on benchmarks. Chinese Labs have much less GPUs yet train 'just as good' models — but …
Lesson: Open weights collapse training moats; inference GPU demand still drives neocloud capex.
