Question: how is gen AI different from how we think?t=0
Cued up to:
 

Lex Fridman Podcast:
#416 – Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI


Answer:

Generative AI, particularly large language models, can give the impression of human-like intelligence due to their fluency in language manipulation. However, this fluency can be misleading as it doesn't equate to the full spectrum of human intelligence (01:01:35 - 01:01:59). Unlike how we traditionally think of intelligence, generative AI doesn't necessarily involve reasoning or understanding but rather excels at processing and generating text.

Furthermore, the development of AI systems is expected to be gradual rather than a sudden event (02:11:28), which contrasts with the often linear and event-driven way we think about technological advancements. AI systems are designed to be more controllable and useful, which is different from the potential bias and unpredictability we associate with human decision-making (02:22:00 - 02:22:08).

In summary, while generative AI can mimic certain aspects of human intelligence, it operates on fundamentally different principles and developmental trajectories.