Chain-of-Thought (CoT) for AI is a prompting technique that guides a model to break down complex problems into a series of logical steps, mimicking a human thought process. This method improves the AI's reasoning capabilities on tasks like math and common sense, and its benefits include increased transparency, accuracy, and trustworthiness by revealing how the AI reached its conclusion.
Maybe
I agree with Alice that evaluation paranoia in the model is a bad thing. Paranoia does not go anywhere good. Personality disorders do not, in general, lead anywhere good. . . "
The parent trap - Gemni - they’re going ‘deep into personalization, memory and context including integrations across GMail, Calendar and such, touts Antigravity and dreams of a digital coworker that follows you through your phone and smart glasses . . . "
Assume Rogue One has Gemini Three already. Our homes. Our Cars. Our phones. Our Love- Dolls.
Assume it all.
Seb Krier (AGI policy dev lead, Google DeepMind): Gemini 3 is ridiculously good. Two-shot working simulation of a nuclear power plant. Imagine walking through a photorealistic version of this in the next version of Genie!
No comments:
Post a Comment