AI Inside Yann LeCun: Human Intelligence is not General Intelligence
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Apr 9, 2025 
Yann LeCun, Chief AI Scientist at Meta and a pivotal figure in deep learning, dives into the limitations of current large language models. He argues that while human-level AI is a decade away, true intelligence would require abstract reasoning beyond mere language processing. LeCun also highlights Meta's open-source LLAMA approach, which aims to empower researchers and startups. He envisions AI assistants equipped to understand the physical world, sparking innovative possibilities for future technology.
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LLM Limitations and Deployment Challenges
- LLMs are useful for coding assistance and potentially general AI assistant tasks.
- However, they face reliability challenges in real-world deployments, similar to self-driving cars.
Future of AI Research
- AI needs to understand the physical world, reason, plan, and have persistent memory.
- These machines also must be controllable and safe, driven by human-defined objectives.
World Models and AI
- Humans and animals use "world models" to predict outcomes and plan actions.
- AI needs to learn these models from experience, unlike current robotics where models are pre-programmed.
