A lot of us have heard conjectures around A.I., edge cases of the positive and negative side of A.I., and a lot of us are trying to predict what’s next. Most of my understanding of A.I. comes only from viewing what is apparent today.. reinforcement learning spaces like chat gpt becoming a go-to..
In this episode of People by WTF, we uncover the basics of this mystery of artificial intelligence with one of the founding fathers of A.I., Yann LeCun. We spoke about popular AI myths and broke down complex concepts that can perhaps help the next generation of builders build in this space.
To learn more about Machine Learning, we’ve collated some sources for your benefit and growth in this industry.
(https://www.notion.so/Machine-Learning-Resource-Document-14ba9e22882a8022a878ee25a3738267?pvs=21)
#NikhilKamath Co-founder of Zerodha, True Beacon and Gruhas
Host of #wtfiswithnikhilkamath
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#YannLeCun Professor at NYU, VP & Chief AI Scientist at Meta
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**Timestamps:**
00:00 Yann’s Intro
01:50 Difference between an Engineer and a Scientist
03:15 Yann’s interest in AI and Mathematics
04:05 Godfather of AI | Yann’s feelings about it
05:22 Teaching & fame at NYU
06:00 Heroes in Science
07:46 Three problems with the world - Yann’s lens
10:18 What is AI and how did we get here?
13:13 What is intelligence? | The Elephant Analogy
15:00 AI - perception & understanding
16:20 The two branches of AI - solving & learning
17:30 Emergence of classical computer science | Heuristic programming
20:15 Is A.I. inspired from biology?
26:36 Is building authentic models for finance possible through AI?
28:36 Different parts of A.I | GOFAI, Machine learning
30:18 What is GOFAI?
31:14 Different types of Machine Learning
32:22 What is Reinforcement learning?
33:19 What is Self supervised learning? Up & Coming
35:14 Is AI telling you what you want to hear?
38:00 What is a transformer?
40:24 What is a back propagation algorithm?
42:58 What’s happening in the reinforcement learning space?
48:06 What is a convolutional neural network ?
49:08 What is a Neuron - the Machine Learning perspective
50:00 What is a neural network language model & how does it work?
58:00 The AI tree | LLMs
59:55 The next challenge of AI
1:01:40 - Pictures/ Videos - what's happening there?
01:03:20 LLM’s limited memory | Types of memory
01:04:45 AI’s path to human like learning
01:10:26 What is JEPA ?
01:11:58 How far in the future can you predict through JEPA ?
01:14:10 AI’s future prediction - Utopian or Dystopian ?
01:16:30 The LLM Loop | What needs to change
01:18:50 Building data centers in India - Yann’s thoughts
01:21:09 What should a 25 y/o build in the AI space? | Careers in the AI space
01:26:18 What should an investor invest in | Yann’s future prediction
01:29:13 What happens to human intelligence in an AI world?
01:32:09 What is intelligence? | Final Verdict
01:34:00 The end or just the beginning?
