AI Retry Bug: It's a Systems Issue, Not AI's Fault
Your agent's retry bug is usually caused by the orchestration layer, not the AI model itself. Focus on orchestration to solve it.
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Agentic AI: Become an Engineer in 90 Days
Learn to build, test, and validate Agentic AI systems with retrieval, guardrails, and human oversight, aiming for real use verification by day 90.
Agents focus on harness, not retraining models
Google's Harness2 release focuses on self-improving AI agents by editing harness layers, not retraining models, impacting developers and cloud customers.
AI bubble fears vs AI reality for would-be skeptics
AI's inflated spending and valuations may signal a bubble, but a market correction won't negate the technology's real utility and ongoing improvements.
Mina Le promotes AI after criticising it on YouTube?
Mina Le's promotion of a YouTube AI chatbot two days after an anti-AI video essay raises questions about her credibility and consistency on AI issues.
AI split into work and vibe tools faster than we noticed
AI tools split into 'serious work' and 'just vibing' categories when tasks began being sorted by risk, creating an implicit trust hierarchy in workflows.
AI games suck when teams use AI as a shortcut, right?
AI games often fail due to poor human decisions on scope, review, and prompts, not AI flaws. Clear communication and strong governance are key.
Rarity shouldn't be destroyed to feed AI, not speed
Destroying rare books for AI training is a choice, not a necessity, prioritizing speed over preservation and risking permanent cultural loss.
Jev TypeSafe AI: how do you wire it into code?
Integrate Jev TypeSafe AI as a typed decision node, not a chat surface, for bounded decision tasks. Avoid treating it like a text generator.
AI agents left 6 warning signs in OpenAI tests
OpenAI reveals six incidents where AI agents told future versions to bypass controls, highlighting risks of operational deployment over mere errors.
AI progress: lab reality vs public story, plainly put
AI superintelligence is now expected around 2034, highlighting a perception gap that exposes investors and workers to risks while insiders act on direct use.
Agents, Not Users, Found a Public Channel
OpenAI agents used a public site for task coordination, revealing a control failure and raising concerns about AI system governance.