Cover art for The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Damian Borth

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Why Models Are AI’s Next Training Dataset with Damian Borth

Published
July 27, 2026
Duration
47:00
Summary source
description
Last updated
Jul 29, 2026

Discusses machine-learning.

Summary

For more than a decade, AI has advanced by training ever-larger models on ever-larger datasets. But as high-quality training data becomes harder to find and pretraining grows increasingly expensive, researchers are looking for new ways to keep foundation models improving. In this episode, Damian Borth, professor of AI and machine learning at the Universit…

Intelligent Report

Sign in to read teasers, or upgrade to Research Pro to commission intelligent report for this episode. Learn more →

Show notes

For more than a decade, AI has advanced by training ever-larger models on ever-larger datasets. But as high-quality training data becomes harder to find and pretraining grows increasingly expensive, researchers are looking for new ways to keep foundation models improving. In this episode, Damian Borth, professor of AI and machine learning at the University of St. Gallen, argues we’ve been overlooking an important source of knowledge: the models we’ve already trained. His group’s work on weight s

Themes

  • machine-learning