"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

Anthropic's Responsible Scaling Policy, with Nick Joseph, from the 80,000 Hours Podcast

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Sep 25, 2024
Nick Joseph, Head of Training at Anthropic, discusses the pivotal topic of responsible scaling in AI development. He examines Anthropic's proactive safety measures and the importance of transparency in AI risks. Joseph emphasizes the need for public scrutiny and collaboration among tech companies to enhance safety frameworks. Additionally, he shares insights about the career opportunities in AI safety and the evolving landscape of AI technology, advocating for rigorous testing and ethical practices to navigate potential challenges.
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INSIGHT

Scaling Laws Continue to Work

  • AI models get better with more compute and data, defying skeptics who predict scaling limits.
  • This trend, observed with models like Claude, suggests scaling continues to yield improvements.
INSIGHT

Bottlenecks in Model Improvement

  • While compute and data are important, people, time, and efficient algorithms are now key bottlenecks.
  • Anthropic's progress is currently limited by people and time, not resources.
ANECDOTE

Shifting Difficulty in AI

  • Nick Joseph found robotics research hard, but early code model work at OpenAI felt shockingly easy.
  • Progress has slowed as low-hanging fruit has been picked, but resources have also increased.
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