Emerging reasoning with reinforcement learning | Hacker News
news.ycombinator.com
Emerging reasoning with reinforcement learning | Hacker News
LeCun points to four essential characteristics of human intelligence that current AI systems, including LLMs, can’t replicate: reasoning, planning, persistent memory, and understanding the physical world. He stresses that LLMs’ reliance on textual data severely limits their understanding of reality: “We’re easily fooled into thinking they are intel... See more
Azeem Azhar • 🧠 AI’s $100bn question: The scaling ceiling
The biggest bottleneck in building superintelligence is that AI agents are not as of yet very good at evaluating how they’re doing at a given goal. If they could better self-assess, they could self-improve. And digital self-improvement loops could lead to superintelligence. Making progress on importing particular human taste/judgement into LLMs cou
... See more