The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch cover image

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

20VC: Bret Taylor: The AI Bubble and What Happens Now | How the Cost of Chips and Models Will Change in AI | Will Companies Build Their Own Software | Why Pre-Training is for Morons | Leaderships Lessons from Mark Zuckerberg

Oct 2, 2024
Bret Taylor, CEO and Co-Founder of Sierra and former CTO at Facebook, discusses the real state of AI, challenging the notion of an AI bubble. He questions the efficiency of companies building their own software and argues that pre-training models are outdated. As a board member at OpenAI, he claims foundation models are quickly depreciating. Taylor identifies the shift towards AI-driven interfaces and predicts a decline in phone reliance. He also shares insights on leadership in tech, including valuable lessons learned from Mark Zuckerberg.
01:10:39

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Bret Taylor argues that investing in pre-training AI models is often inefficient for companies lacking unique capabilities, favoring fine-tuning instead.
  • Despite skepticism regarding an AI bubble, the economic transformations and potential returns from AI innovations may justify current high valuations.

Deep dives

Skepticism Towards Pre-Training Models

There is a significant skepticism surrounding the practice of pre-training models, especially for companies that are not focused on artificial general intelligence (AGI) research. The belief is that investing in pre-training without unique capabilities leads to inefficient use of capital, much like investing in a custom data center rather than utilizing existing infrastructure. Most software companies should prioritize fine-tuning existing models instead of taking on the additional burden of developing their own. Thus, companies that engage in pre-training without a strong rationale may find themselves regretting that decision as their capital is essentially wasted.

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