Philip Meier
@der_meier
Lex Fridman Podcast cover image

#438 – Elon Musk: Neuralink and the Future of Humanity

Lex Fridman Podcast

The Role of Compute, Data, and Post-Training in AI Systems

3min Snip

00:00
Play full episode
The effectiveness of AI systems hinges on a balance of compute power, data quality, and post-training efficiency. Compute serves as the engine driving performance, where greater horsepower can lead to superior outcomes regardless of operator skill. The efficiency of utilizing this training compute and conducting inference relies heavily on human talent. Access to unique and timely data boosts AI performance, with real-time information presenting a significant advantage. Tesla's Optimus robots are poised to become a primary source of data, leveraging their ability to gather information from the real world at an unprecedented scale. This capacity greatly surpasses the data collection methods of humans, emphasizing AI's potential to glean insights from practical, everyday interactions. The scale of data gathered by these robots can provide rich, contextual learning that is invaluable for AI development.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode