OpenAI's chief scientist says reasoning models can now self-improve

OpenAI's chief scientist said reasoning models have reached capability jumps that could sustain recursive self-improvement, urging stronger monitoring and coordination before the next jump. The remarks come as internal charts show AI spend per researcher spiking in late July, around when GPT-6 Astra reportedly reached internal users.

OpenAI's chief scientist argues reasoning models have crossed into capability jumps that could sustain recursive self-improvement, and says monitoring and coordination must strengthen before the next jump lands. Read: OpenAI's chief scientist argues reasoning models have crossed into capability jumps that could sustain recursive self-improvement, and says monitoring and coordination must strengthen before the next jump lands. Read: A look at how OpenAI's research team leans on coding agents internally, anchored by a chart showing AI spend per researcher jumping sharply in late July, around when GPT-6 Astra reportedly reached internal users first. Read: Tencent released EVIE-8B, a 4096-dimensional late-interaction visual document retrieval model that tops the ViDoRe V3 leaderboard and serves as the distillation teacher for the smaller EVIE-4.5B. Read: Tencent open-sourced EVIE-4.5B, a late-interaction visual document retrieval model with elastic embeddings from 64 to 2048 dimensions and a training-free compression scheme that cuts index size roughly 20x while still leading ViDoRe V3. Read: Figma's CTO argues AI is commoditizing code translation, from design to code and between languages, but not the harder work of choosing problems, building abstractions, and reasoning about systems from first principles.