What Alexander Wissner-Gross has said about Training data quality in machine learning

2 quotes · 1 episode · Sep 11, 2026

Alexander Wissner-Gross, Computer scientist and founder of Reified, co-host of Moonshots, has been quoted on Training data quality in machine learning 2 times in 1 episode of Moonshots with Peter Diamandis, most recently on September 11, 2026. Each quote below is verbatim and links to the moment it was said.

In their words

Wissner-Gross argues that historically AI grand challenges have been solved by assembling the right dataset rather than by algorithmic innovation.
“the solutions to all of the grand challenges in AI historically over the past 30 years have actually been the result of putting together the correct data set, not the right algorithm”
Moonshots with Peter Diamandis: Should we slow down AI progress? | MOONSHOTS #288 (Sep 11, 2026) · Listen from 8:57
Wissner-Gross warns that proprietary enterprise data has value but a limited shelf life, citing Bloomberg GPT as a cautionary example.
“I do think there is value in internal enterprise data, but it has a shelf life”
Moonshots with Peter Diamandis: Should we slow down AI progress? | MOONSHOTS #288 (Sep 11, 2026) · Listen from 18:05

Should we slow down AI progress? | MOONSHOTS #288
Moonshots with Peter Diamandis · Sep 11, 2026 · 2 h 44 min
The Moonshots panel and Emad Mostaque debate AI safety resignations, P(doom), the Navier-Stokes solution, data as moat, GPU economics and AI-designed longevity drugs.