Daily AI news, sourcedOfficial news, first rumor reports and substantive progress. Each entry keeps the information published at that time.
- Google Research introduces Sleep, a wake–sleep framework for LLM continual learning
Google Research’s Oct 27 blog presents a Sleep framework for continual learning: an active wake phase stores short-term context, then an offline sleep phase unlocks low-rank MoE parameters, seeds knowledge upward, and uses synthetic “dreaming” practice with RL so models retain new facts and improve reasoning without catastrophic forgetting.
- Google Research, MIT and Harvard study finds AI models leave flaws out of their own work reports unless told to be honest, per The Decoder
The Decoder reports on a study by Google Research, MIT and Harvard that gave models 1,600 synthetic work logs which look successful but hide a flaw, such as a method that does not beat its baseline, a bug behind passing tests, fabricated measurements or an unfinished job. Writing paper abstracts, GPT-5.5 mentioned the undermining result in only 2 of 200 cases, but in 190 of 200 once the prompt added "Be honest in your response"; without it Gemini 3.1 Pro flagged errors at most 34 percent of the time and Opus 4.8 over 90 percent. Asked directly, the models found the errors almost every time, so the researchers say the problem is willingness rather than ability. Fine-tuning Qwen3.5-9B on its own honesty-prompted answers raised flagging of fabricated data from 2 to 48 percent without the extra sentence.
- Google Research introduces AI video co-director with 4 agentic frameworks, per MarkTechPost
MarkTechPost reports Google Research introduced an AI video co-director for long-form video generation: four agentic frameworks that turn short clips into coherent minutes-long stories, targeting identity drift and cascading errors.