EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
MIT Technology Review·10d ago·5 min read
Don’t be fooled—LLMs don’t reason
TL;DR
AlphaGo's unexpected move 37 during its match against Lee Sedol showcased its unique blend of intuition and reasoning, challenging perceptions of AI creativity. However, this reasoning capability is not present in current AI systems, highlighting a critical gap in their development.
✦ Why It Matters
Focus on enhancing AI systems with reasoning capabilities to improve their reliability and creativity.
Key Takeaways
- Explore integrating structured reasoning in AI systems.
- Develop models that maintain a clear epistemic state.
- Focus on auditable reasoning processes in AI applications.
- Assess AI conclusions based on evidence and inference.
How It Works
AlphaGo combines a policy network that predicts human moves with a search mechanism that evaluates future game states. This dual approach allows it to weigh immediate moves against long-term consequences, maintaining a game tree that records its reasoning process.