WTF is Artificial Intelligence Really? | Yann LeCun x Nikhil Kamath | People by WTF Ep #4

ℹ️ EPISODE INFO

Released

November 27, 2024

Duration

1h 36m

Channel

Nikhil Kamath

Watch on YouTube

▶ Open ↗

📝 EPISODE DESCRIPTION

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 Twitter: https://x.com/nikhilkamathcio/ Instagram: https://www.instagram.com/nikhilkamathcio/ LinkedIn: https://www.linkedin.com/in/nikhilkamathcio?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app Facebook: https://www.facebook.com/nikhilkamathcio/ #YannLeCun Professor at NYU, VP & Chief AI Scientist at Meta Linkedin: https://www.linkedin.com/in/yann-lecun/ Instagram: https://www.instagram.com/yannlecun/ Facebook: https://www.facebook.com/yann.lecun Twitter: https://x.com/ylecun **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?

🎤 SPEAKERS

• Nikhil Kamath

  host

• Yann LeCun

  guest

🧾 EPISODE SUMMARY

In this episode of Nikhil Kamath, featuring Nikhil Kamath and Yann LeCun, WTF is Artificial Intelligence Really? | Yann LeCun x Nikhil Kamath | People by WTF Ep #4 explores yann LeCun explains AI’s roots, limits, and next architecture frontier Yann LeCun frames AI as a long-running quest to understand and build intelligence, arguing the field historically split between top-down reasoning/search (GOFAI) and bottom-up learning from data (machine learning/deep learning).

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