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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”

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sarah guo

126,294 subscribers

27,167 Aufrufe • vor 1 Jahr •via X (Twitter)

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Profilbild von sarah guo // conviction
sarah guo // convictionvor 1 Jahr

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

Profilbild von ksminnovation
ksminnovationvor 1 Jahr

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_

Profilbild von Muad'Deep - e/acc
Muad'Deep - e/accvor 1 Jahr

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

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Ethan_Building AI Marketervor 1 Jahr

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.

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EquiTeavor 1 Jahr

@NoPriorsPod @BrendanFoody @mercor_ai Great podcast

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