VoicesAndrew Ng AGI Decades Away Real Bubble in Training LayerFast Company·high signalXBlueskyLinkedInCopy linkNg pushes back on AGI hype, identifies training layer as real AI bubble risk, argues job loss fears are overstated.SourceSource pageFast Company↳ Follow the threadStack layer / Threat patternVibe Coding Cut Task Time 27% and Raised Security Vulnerabilities in the Same TrialarXiv 2609.09560Policy dependency / Stack layerCROSS-CATEGORY: Three Independent Agent-Action Gates Shipped in 48 Hours, All Judging the Command Against Stated IntentProduct Hunt, github.com/AGGIB/Stroq and rewarelabs.com (three independent sources; the 72% figure is Reware's own)Policy dependency / ContrastA Fine-Tuned 4B Qwen in 2.6 GB Beats GPT-5.6 on a Transit-Kiosk Agent Benchmark, and PEFT Gains Vanish by 27BarXiv 2609.10016Stack layer / ContrastSebastian Raschka says delete or regenerate your AGENTS.md and SKILL.md files, because the hand-holding now constrains newer modelsAhead of AI (Sebastian Raschka)Stack layer / ContrastEcdysis: fix the harness only for failure patterns that recur across tasks, not for each single failurearXiv 2609.11677Stack layer / Follow-up threadΦ-Bench tests whether LLMs can engineer their own serving and training stack, from kernels to end-to-end optimizationarXivPolicy dependencyZvi's AI #185 'Preference Cascade' argues the Coxon resignation made extinction risk sayable in the mainstreamDon't Worry About the Vase (Zvi Mowshowitz)Threat patternJensen Huang at Goldman Sachs: "What better way to create demand than to create a problem?"Axios