machine learning models

2 statements across 2 episodes · 1 bullish · 1 bearish · 2 people on the record · first statement Sep 6, 2019 by Alex Wang · across every show →

Everything said about machine learning models, oldest first

Sep 6, 2019 bearish

Assertion Not checkable as stated

Alex Wang: Synthetic data is nowhere close to impacting machine learning progress

“It hasn't really worked in practice in most situations, particularly when it comes to visual data or even textual data. It really hasn't worked, and a lot of the reasons why it's sort of limited in terms of its overall impact is that at the end of the day, whe…”

Alex Wang Sep 6, 2019 ▶ 14:00 20VC: Scale Founder Alex Wang on How To Hire Incredible Talent Before You Are A Hot Company, Why Beating Competition Is Not As Clear Cut As Investors Believe & Why AI Is Under-Hyped Today In Terms of Total Impact

Oct 25, 2021 positive

Insight

ML models make delivery platforms far more profitable than greedy solvers

“While a greedy solver can get you maybe initially 70% of the way there, that's fine for a while. Layering on, you know, all of this, you know, additional machinery made it, you know, much more profitable over time.”

Will Shu Oct 25, 2021 ▶ 16:29 20VC: Deliveroo Founder Will Shu on The IPO This Year, The Rise of Quick Commerce and The Fierce Competition with Uber Eats

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machine learning models

Everything said about machine learning models, oldest first

Turn any episode into a week of clips.