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	Podcast:		The Gradient Podcast
	Episode:		Sara Hooker: Cohere For AI, the Hardware Lottery, and DL Tradeoffs
	Category:		Technology
	Duration:		00:52:55
	Publish Date:		2022-07-14 16:00:40
	Description:		In episode 34 of The Gradient Podcast, Daniel Bashir speaks to Sara Hooker. Sara (@sarahookr) leads Cohere for AI and is a former Research Scientist at Google. Sara founded a Bay Area non-profit called Delta Analytics, which works with non-profits and communities to build technical capacity. She is also one of the co-founders of the Trustworthy ML Initiative, an active participant of the ML Collective research group, and a host of the underrated ML podcast. Subscribe to The Gradient Podcast: Apple Podcasts \| Spotify \| Pocket Casts \| RSS Follow The Gradient on Twitter Sections: (00:00) Intro (02:20) Podcasting gripe-fest (06:00) Sara’s journey: from economics to AI (09:15) Economics vs. AI research (12:45) The Hardware Lottery (19:15) Towards better hardware benchmarks (26:00) Getting away from the hardware lottery (32:30) The myth of compact, interpretable, robust, performant DNNs (35:15) Top-line metrics vs. disaggregated metrics (39:20) Solving memorization in the data pipeline, noisy examples (45:35) Cohere For AI Episode Links: Cohere for AI Sara’s Homepage Get full access to The Gradient at thegradientpub.substack.com/subscribe
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