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Published · transcript-backed

Sholto Douglas: belief

22 May 2025 Dwarkesh Podcast Is RL + LLMs enough for AGI? — Sholto Douglas & Trenton Bricken

“If you made an extremely efficient transform implementation on TPU, or Trainium, or Incuda, then I think there's a pretty high likelihood that you'll get a job offer.”

— Sholto Douglas

Source trail

Everything needed to verify it.

Speaker
Sholto Douglas
Attribution
Verified speaker
Claim type
belief
Recorded
22 May 2025
Publisher
Dwarkesh Podcast

Transcript context

…There's just so many interpretability projects. There's so much low-hanging fruit, and we need more people, and I don't think we have much time. I also want to make a plug for performance engineering. This is one of the best ways to demonstrate that you have the raw ability to do it. If you made an extremely efficient transform implementation on TPU, or Trainium, or Incuda, then I think there's a pretty high likelihood that you'll get a job offer. But there's a relatively small pool of people that you can trust to completely own end-to-end the performance of a model. And if you have broad, deep electrical engineering skills, I think you can probably come up to speed pretty fast on accelerator stuff.…

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