No Priors: Artificial Intelligence | Technology | Startups Google DeepMind's Vision for AI, Search and Gemini with Oriol Vinyals from Google DeepMind
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Aug 1, 2024 Oriol Vinyals, VP of Research at Google DeepMind and co-lead of the Gemini project, shares his journey through AI, including leading AlphaStar. He delves into how Gemini enhances data processing and integrates with search technologies to transform user experiences. Vinyals discusses breakthroughs in infinite context length for better reasoning in AI models and the importance of balancing general and specialized AI. Lastly, he reflects on AGI timelines and advises future generations on skills for a tech-driven world.
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Language Models and Generality
- Language models offer a powerful abstraction for generality.
- Multimodality expands these techniques beyond language to encompass vision, sound, and video.
Reasoning Capabilities of LLMs
- Current language models possess reasoning capabilities, but they are not perfectly crisp and accurate.
- They can solve complex problems yet fail at simpler ones, highlighting inconsistencies in their reasoning.
Compute Allocation in LLM Training
- Most compute is currently spent on pre-training, unlike earlier models like AlphaGo, where reinforcement learning took precedence.
- Future development may involve shifting more compute towards reinforcement learning and inference-time search.