The comfortable assumption that technology will always create more jobs than it destroys is facing a fundamental challenge. On The Diary Of A CEO, former OpenAI safety researcher Daniel Kokotajlo detailed why the dawn of general superintelligence breaks historical economic rules. Meanwhile, NVIDIA has expanded open-weight enterprise capabilities with a new family of high-performance embedding models designed to solve context errors in AI retrieval and memory systems.
We’ll talk about:
- Why traditional safety-net logic fails when AI reaches superintelligence and becomes cheaper, faster, and more adaptable than humans at every emerging task.
- A new open-weight embedding model taking top honors on the RTEB retrieval leaderboard, built specifically to eliminate search loops and lower token costs for RAG systems.
- Moonshot AI pausing new signups for its 2.8T Kimi K3 model within hours of launch due to overwhelming infrastructure demand.
- Fable 5 transitioning to exclusive access for Max and Team Premium tiers, while Pro users transition to a pay-per-use credit model.
Keywords: Daniel Kokotajlo, AI job, superintelligence, NVIDIA Nemotron 3, Kimi K3.
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