Setback for allowing robotaxis in Illinois.
AUTOMATION
-
Teaching Codex to automate QA testing of OpenClaw via VNC and browser
By
–
Been teaching codex to be my QA assistant. For every commit it creates a user-test scenario and uses webVNC (crabbox), computer/browser use (peekaboo/mcporter) to test OpenClaw like a user/QA person would. This runs in the background and opens PRs with fixes.
-
Build Autonomous Claude Code Routines in 15 Mins with Anthropic Engineer’s Guide
By
–
This Anthropic engineer reveals how to build rad Claude Code Routines in 15 mins.
— Charly Wargnier (@DataChaz) 31 mai 2026
The result?
A 24/7 autonomous coding partner.
Along with @zodchiii's guide, you'll automate 50% of your workload with Claude Code.
No fluff. Just the playbook from the ppl who actually built it. https://t.co/b9b0dzFvb2 pic.twitter.com/LG0Vro1Gt5This Anthropic engineer reveals how to build rad Claude Code Routines in 15 mins. The result? A 24/7 autonomous coding partner. Along with @zodchiii
's guide, you'll automate 50% of your workload with Claude Code. No fluff. Just the playbook from the ppl who actually built it. -
AI agents should know when to ask good questions
By
–
/goal and other fully automated AI agents are cool, but not a great model for the future of work with people. Instead you want your AI to know when to ask you GOOD questions, maybe because it is stuck, maybe because your taste matters, maybe because you would find it interesting.
-
Solving a multi-agent management problem with Google DeepMind
By
–
It's been almost 1 and a half years that I can't solve a multi-agent cohort management problem and now I just came across a library from @GoogleDeepMind released 2 months ago that offers an ultra elegant approach. Damn, this company is really the boss.
-
Human imperfection compared to machine capabilities in various tasks
By
–
If we are so perfect, why are we so bad at arithmetics, computing integrals symbolically, playing chess, go, or poker?
Machines are already more "perfect" than us at these and many other tasks. (Also, why can we die from diseases if we are so perfect?) -
Fear of losing key features after automatic updates
By
–
I used to let Codex Desktop update itself, now I feel I must resist updates in case they remove key features I depend on!
-
AI Agents: Orchestrating Multiple LLMs for Enhanced Capabilities
By
–
AI Agents ≠ single LLM They’re systems of models • General LLMs → reasoning
• Domain LLMs → expertise
• RAG → real-time data
• Tools → actions & automation
• Open-source → control & privacy Real power = orchestration of multiple LLMs Via Giuliano Liguori -
AI agents process manufacturing data at scale, speed, and compliance.
By
–
Agents process manufacturing data at scale and speed no human could match while maintaining regulatory compliance.
-
From Apprenticeship to Agentic Orchestration: Digital Workers as the Primary Engine
By
–
This represents a transition from slow apprenticeship to agentic orchestration where digital workers become the primary engine.