Predictive Models

topic on 6 shows · 10 statements across 9 episodes

No Priors the MAD Podcast the a16z Podcast Big Technology All-In 20VC

10 statements about Predictive Models, every show

NO PRIORS Prediction Not checkable as stated
Wickramasekara: Large pharma will produce unique proprietary predictive models
“I think while it's early on sort of the agentic how we work side, I think you're going to see very unique models come out of pharma where their computational scientists are building interesting predictive models that, you know, similar to what's happening in t…”
Sajith Wickramasekara Nov 13, 2025 ▶ 23:46 No Priors Ep. 140 | With Benchling Co-Founder and CEO Sajith Wickramasekara
NO PRIORS Disclosure
Goldman: KoBold Retrains Exploration AI Models Daily From Field Observations
“When our team gets on the ground every day that they're in the field, they are collecting new training data. And they're not just going to places where we have high confidence in what the rocks are, because we're not going to learn anything. We're going to pla…”
Josh Goldman Apr 17, 2025 ▶ 15:44 No Priors Ep. 111 | With KoBold Metals Co-Founder and President Josh Goldman
ALL-IN Prediction Not checkable as stated
Friedberg: AI models will drive discovery of novel drugs and materials in 2024
“So this year, I'm really excited based on the progress we've seen in 20, 23, Of predictive models, AI driven discovery of novel molecules, materials, and methods of production in biopharma, in chemical engineering, lots of new materials and new drugs that are …”
David Friedberg Jan 6, 2024 ▶ 1:08:50 E160: 2024 Predictions! Markets, tech, politics, and more
20VC Insight
Cillufo: Predictive models built during boom times fail in economic downturns
“No matter how good your modeling technology is, it's only so good as the inputs. And the inputs are only so good as the environment in which they're created. If you're building a business in boom times, and then you hit challenging times, all of your assumptio…”
Bill Cillufo Apr 22, 2022 ▶ 8:27 20VC: How Today's Market Changes How Companies Should Approach Burn and Runway, Are Financing Markets Closing? How To Know When To Pay Up vs Stay Price Disciplined & Why The Most Important Thing in Venture is Generating Positive Selection with Bill Cilluf
LeCun: Joint-embedding self-supervised learning is AI's best shot for world models
“I'm really excited about this area of research because I think it's the germ. I think it's our best shot as to you know, a path towards learning, you know, getting machines to learn abstract representations you know, and more predictive models. Where those pre…”
Yann LeCun Dec 10, 2021 ▶ 57:29 Daniel Kahneman and Yann LeCun: How To Get AI To Think Like Humans (Full Episode)
a16z Prediction Not checkable as stated
Rachel Kalmar: Future wearables will not require users to review data
“I think that what a cookie will look like will be apps and services built on top of this data that don't require people to look at the data. Predictive models like, hey, you're at risk for a heart attack because we've seen in all of the populations like you th…”
Rachel Kalmar Jan 2, 2019 ▶ 12:55 a16z Podcast | On Wearables, Quantified Self, and Biohacking
MAD Prediction Not checkable as stated
Douetteau: Winning companies will excel at putting predictive models into production
“So it might be that in the following decade, about, where everything will be about having intelligent connected devices, a company that will win will be companies that will be very good at putting predictive models in production, putting intelligence in produc…”
Florian Douetteau Apr 13, 2016 ▶ 4:54 The Solitude of the Data Team Manager // Florian Douetteau, Dataiku (Hosted by FirstMark)
MAD Insight
Medlock: Online profiles offer the best seed for personal predictive text models
“To get a really strong predictive model, you need to know how an individual user uses language, and online profiles give you an ideal way of getting a seed for this.”
Ben Medlock Apr 2, 2015 ▶ 12:51 Ben Medlock, SwiftKey // Building a Better Keyboard // Data Driven NYC (FirstMark Capital)
MAD Assertion Supported
Wallach: ML fairness research overwhelmingly focuses on predictive over exploratory models
“So much of the existing work on fairness and transparency in machine learning, not that there's very much of it, focuses on predictive models rather than models for exploratory or explanatory analyses”
Hanna Wallach Jan 15, 2015 ▶ 12:22 Hanna Wallach, Microsoft Research // Data Driven #33 // Jan 2015 (Hosted by FirstMark Capital)
MAD Insight
Wallach: Bias in exploratory models distorts subsequent predictive models
“As a result, the models used to perform these previous analyses and any kind of bias or unfairness in them will necessarily influence the resultant findings, and hence the representations that we then choose to use in our predictive models.”
Hanna Wallach Jan 15, 2015 ▶ 13:12 Hanna Wallach, Microsoft Research // Data Driven #33 // Jan 2015 (Hosted by FirstMark Capital)

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