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Today, AI model improvements depend a great deal on expert human data. Fun No Priors with Brendan (can/do) founder Mercor on - how to identify outlier talent - the data we need - the future of the labor markets - verifiability, evals - if we can capture “taste”

sarah guo

126,294 subscribers

27,167 次观看 • 1 年前 •via X (Twitter)

财经科学技术教育

Anya Rossi• Live Now

Private livecam show

5 条评论

sarah guo // conviction 的头像

sarah guo // conviction1 年前

full episode everywhere you get you podcasts, every Thursday. YouTube:

ksminnovation 的头像

ksminnovation1 年前

Can AI redefine scientific discovery? Dr. Tal Patalon explores OpenAI’s Deep Research in her latest Forbes article. 🎨 Future by Eduardo Kobra, provided by Eden Gallery. @TalPatalon @forbes @edengallery_

Muad'Deep - e/acc 的头像

Muad'Deep - e/acc1 年前

@NoPriorsPod @BrendanFoody @mercor_ai Really felt the AGI with this one. Great pod!

Ethan_Building AI Marketer 的头像

Ethan_Building AI Marketer1 年前

Capturing "taste" in AI models feels like decoding audience engagement patterns – both hinge on outlier data points. Ran experiments where adjusting content tone based on interaction spikes (not resumes) boosted retention. How do you quantify "taste" when training models? Podcast debates on verifiability vs intuition? Curious.

EquiTea 的头像

EquiTea1 年前

@NoPriorsPod @BrendanFoody @mercor_ai Great podcast

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