The Brain Behind OpenAI & Google 🤖 | 🎙️ Łukasz Kaiser, Lead Researcher at OpenAI | AI Podcast 🟣

🎙️ Today on our AI Podcast we are joined by Łukasz Kaiser, Lead Researcher at OpenAI and co-creator of the Transformer, the architecture that sparked the generative AI revolution, to discuss the evolution of Large Language Models, the future of step-by-step reasoning, computational efficiency, model-based planning, and the path toward AI with true understanding and agency. We also explore the role of reinforcement learning, video prediction, and tool integration in developing more autonomous systems, offering an essential deep dive into the direction of the new era of Artificial Intelligence.

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⏱ Timestamps:

00:00:00 Trailer
00:02:22 Introduction and presentation of Łukasz Kaiser
00:03:11 What is intelligence?
00:04:50 OpenAI’s vision: Toward beneficial AI?
00:07:08 Is AI moving too fast? The car analogy
00:09:26 AGI: Why Łukasz Kaiser doesn’t like the term
00:11:43 The real impact: Reasoning models in the workplace
00:14:55 The pace of AI: When will it surpass human capabilities?
00:18:11 AI’s bottleneck: GPUs and energy
00:18:21 AI’s bottleneck (continued)
00:26:02 Is a new “AI winter” coming?
00:32:08 “Attention Is All You Need”: The story behind the paper that changed everything
00:36:41 Did they invent or discover Transformers?
00:39:20 The next big breakthrough: Reasoning models
00:42:41 What sets reasoning models apart from LLMs?
00:49:18 The debate with Richard Sutton: Do reasoning models solve the problem?
00:52:32 The future of reasoning models: How far can they go?
00:56:46 AI’s potential to accelerate science
01:01:49 Hallucinations: Why they happen and how they’re being fixed
01:14:10 Culture in AI labs: Pressure vs. collaboration
01:21:52 The future of OpenAI hardware devices
01:26:00 The future of AI: A world of abundance or everyday problems?
01:29:06 Responding to AI skeptics
01:36:42 Conclusions