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Nick Joseph

Head of Pretraining at Anthropic with deep expertise in training large-scale AI models, infrastructure engineering, and alignment; discusses pretraining, scaling laws, and production challenges in the episode.

Top 3 podcasts with Nick Joseph

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306 snips
Oct 1, 2025 • 1h 4min

Anthropic Head of Pretraining on Scaling Laws, Compute, and the Future of AI

Nick Joseph, Head of Pretraining at Anthropic, shares insights from his extensive background in AI model training and infrastructure engineering. He discusses the complexities of scaling frontier AI models, emphasizing the importance of pretraining and the intricate balance of compute resources. Nick highlights how infrastructure challenges often overshadow machine learning issues and the necessity of practical engineering skills. He also touches on AI alignment and the evolving landscape of data availability, offering a glimpse into the future of artificial intelligence.
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72 snips
Aug 22, 2024 • 2h 29min

#197 – Nick Joseph on whether Anthropic's AI safety policy is up to the task

Nick Joseph, Head of Training at Anthropic and a co-founder, discusses AI safety policies in-depth. He outlines the Responsible Scaling Policy, emphasizing the need for safeguards as AI capabilities grow. The conversation touches on the complexities of training models and the importance of external oversight. Nick addresses the financial implications of safety testing, the need for evolving safety measures, and securing AI from potential misuse. He concludes by highlighting the vital role of independent auditing and effective governance in AI development.
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11 snips
Sep 25, 2024 • 2h 39min

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

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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