AI is smarter than you think with Shane Legg of Google DeepMind

How I Built This · 11 Apr 2024 · 37m

What this episode covers

Shane Legg, co-founder and Chief AGI Scientist at Google DeepMind, discusses the company's mission to build artificial general intelligence (AGI) and its evolution from a startup to a core part of Google. He details DeepMind's technical breakthroughs, including AlphaGo, which combined Monte Carlo Tree Search with deep learning to master the game of Go, and AlphaFold, which solved the protein folding problem to accelerate drug discovery. Legg explains how the merger of DeepMind with Google's AI division was driven by the need to scale large language models and compete with rivals like OpenAI, while emphasizing the critical importance of AGI safety research and global policy engagement to mitigate existential risks.

Mentioned

Companies
Google DeepMind, OpenAI
Products
AlphaGo, AlphaFold
Also
Transformer

Other shows on the same ground, closest first.

  • Built 2 Scale · 1h 25m

    2025 Finale: Yann LeCun Raises $3B, Domain Addiction Confessions & Built 2 Scale Year Wrap

    Hosts Matt Perrott and Scott Wilcox review the year's tech news, focusing on Yann LeCun raising $3 billion for a spatial intelligence startup and the implications for autonomous home company Elysium. They discuss Sergey Brin returning to coding at Google, the competitive landscape between Google's TPUs and Nvidia's GPUs, and Brett Adcock's Figure AI. The episode concludes with a 'Receipts or Regrets' segment where they evaluate predictions like robots in homes, the Guzman y Gomez IPO, and OpenAI's hardware ambitions.

  • Built 2 Scale · 1h 24m

    Google CRUSHES Everyone + Elon's $10B Anime Crisis + The Age of Agents

    Hosts Matt Perrott and Scott Wilcox discuss Google's recent market dominance, highlighting its Pixel phone launch, instant voice translation, and video generation capabilities that undercut OpenAI's costs. They analyze the strategic implications of DeepSeek being confirmed as a Chinese state operation and Elon Musk's controversial pivot to edge computing and LIDAR-free autonomous vehicles. The episode also covers the rise of AI agents, including Anthropic's Claude browser integration and HeyGen's digital twin technology, while debating the future of corporate AI implementation and Gen Z's role in the industry.

  • Built 2 Scale · 37m

    AI NEWS | Episode 31

    Hosts Matt Perrott and Scott Wilcox analyze Google's Gemini 3 release, highlighting its integration with the Google ecosystem and the strategic shift to proprietary TPU chips to reduce reliance on Nvidia. They discuss the diminishing returns of scaling LLMs, citing Ilya Sutskever's view that the 'age of scaling is over,' and explore the necessity for application-layer companies like Lovable to niche down. The conversation concludes with a debate on the importance of Silicon Valley for AI talent versus the viability of distributed global teams and non-frontier AI strategies.

  • The Circuit · 41m

    Episode 85: OpenAI leaves AI Silicon in the Dust

    Ben Bajarin and Jay Goldberg discuss how OpenAI's new model, which uses reinforcement learning and multi-level reasoning, drastically increases inference compute demands, leaving current silicon architectures behind. They analyze the competitive landscape, noting that while Nvidia dominates training, the inference market is becoming more open due to high costs and the need for edge deployment. The hosts also highlight Google's recent demos, including a podcast generator and a game engine, as evidence of rapid software innovation that continues to outpace hardware development.

  • The Amp Hour · 1h 41m

    Depth and AI with Brandon Gilles and Brian Weinstein

    Brandon Gilles and Brian Weinstein of Luxonis discuss the DepthAI platform, which integrates the Intel Movidius Myriad X chip to enable embedded spatial AI and computer vision. They explain how the system combines depth perception with AI classification to solve real-world problems, such as bicycle safety and industrial monitoring, by outputting metadata rather than raw video. The conversation covers the technical architecture of the Myriad X, the challenges of manufacturing fine-pitch BGAs, and their successful $1.3 million Kickstarter campaign for the Oak One and Oak D boards. They also highlight partnerships with OpenCV and RGcam to lower costs and expand the ecosystem for developers building embedded vision solutions.

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by How I Built This. The episode itself belongs to its publisher.