Evidence receipt / prediction
Published · transcript-backedYi Ma: prediction
13 Dec 2025 Machine Learning Street Talk The Mathematical Foundations of Intelligence [Professor Yi Ma]
“I think we have reached the point, right, we'll be able to address what's next for understanding even more advanced forms of intelligence.”
— Yi Ma
Source trail
Everything needed to verify it.
- Speaker
- Yi Ma
- Attribution
- Verified speaker
- Claim type
- prediction
- Recorded
- 13 Dec 2025
- Publisher
- Machine Learning Street Talk
Transcript context
…In the past 10 years, I think the question about the intelligence or artificial intelligence has captured people's imagination. I'm 1 of them, but it took me about 10 years to try to really understand, can we actually make understanding intelligence a truly scientific or mathematical problem? To formalize it, you probably will get some of my opinion and also the facts about it. And it probably will change your view of what intelligence is, which is also a soul searching process for me. How do we clarify some misunderstandings, the common misunderstandings about intelligence? Through this journey, maybe we'll gain an entirely new view about what we really have done, in the past 10 years, the practice of artificial intelligence, the mechanism we have implemented, all the mechanics behind all the large models, deep networks, and the large models truly are, and the true natures, and hence understand their limitations, and also what it takes to truly build a system that has intelligent behaviors or capabilities. I think we have reached the point, right, we'll be able to address what's next for understanding even more advanced forms of intelligence. What's the difference between compression and abstraction? Difference between memorization and understanding? I think of the future, those are the big open problems for all of us to study. MLST is supported by Cyber Fund. The link in the description.…
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