machine learning models

also referred to as: machine learning model

4 statements across 3 episodes · 4 bullish · 0 bearish · 3 people on the record · first statement Aug 29, 2025 by Ari Morcos · across every show →

Everything said about machine learning models, oldest first

Aug 29, 2025 bullish
Assertion Not checkable as stated
Morcos: Proper data curation enables smaller models with equal or better performance
“Help the folks we work with to train models much faster to much better performance and to also help them train much smaller models to the same or better performance, which I actually think is some of the most exciting stuff going forward. But fundamentally, th…”
Ari Morcos Aug 29, 2025 ▶ 1:43 Better Data is All You Need — Ari Morcos, Datology
Aug 29, 2025 positive
Insight
Morcos: Data curation choices fundamentally determine machine learning model performance
“There are a ton of choices you would make in that process, ranging from how you're going to filter the data, how you're going to sequence the data, what synthetic data you're going to generate, if any how you're going to batch the data, all of those things. An…”
Ari Morcos Aug 29, 2025 ▶ 0:58 Better Data is All You Need — Ari Morcos, Datology
Mar 24, 2026 bullish
Assertion Not checkable as stated
Kulik: ML models deliver 100x to 1000x speedup per optimization dimension
“Usually, just even for a not so accurate machine learning model, you get, you know, at least a hundred to a thousand-fold speed up for every dimension you're optimizing over”
Heather Kulik Mar 24, 2026 ▶ 8:14 🔬There Is No AlphaFold for Materials — AI for Materials Discovery with Heather Kulik
Jun 24, 2026 positive
Disclosure
Xin: Databricks uses ML models to optimize database algorithms at runtime
“They use that to build a model. Like a machine learning model, not an L, a machine learning model. Machine learning model basically can very, very quickly tell us how any algorithm and how any implementation will perform for any specific type of queries with v…”
Reynold Xin Jun 24, 2026 ▶ 48:03 The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
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