Episode Link
https://share.snipd.com/episode/b26a7d70-152b-47d3-9594-fa438ac8ff19
Episode publish date
November 3, 2025 12:42 AM (UTC)
Last edit date
Nov 4, 2025 3:21 PM
Last snip date
November 4, 2025 3:20 PM (UTC)
Last sync date
November 4, 2025 3:21 PM (UTC)
Show
Machine Learning Street Talk (MLST)
Show notes link
https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Why-Humans-Are-Still-Powering-AI-Sponsored-e3adil7
Snips
14
Warning
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Your snips
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[00:15] Human Data Is The Hidden Core
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[02:17] Code-Review Experience Informed Matching
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[03:46] Prioritize Vetting And Long-Term Incentives
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[06:30] Design For Relationships, Not One-Off Tasks
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[08:39] Direct Feedback Improves Trust
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[10:12] Force Clear Specs And Train Participants
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[11:53] Prefer Real-World Experts Over Pro Raters
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[16:01] Two-Tower Matching For People And Tasks
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[16:46] Centralization Creates Geopolitical Risk
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[18:10] AI as a Teacher
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[18:37] Use AI To Amplify Junior Engineers
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[20:07] Agents And Humans Will Collaborate
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[22:20] Synthetic And Human Data Are Complementary
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