“The model can also generate videos… the model can also generate its own training data so that becomes a self-fulfilling flywheel”
♫
Said on Latent Space: The AI Engineer Podcast
“The subset that you're generating along the way is not itself intrinsically valuable… there are going to be a little bits of gold that we have generated as a consequence of doing all of the screening”
Latent Space: The AI Engineer Podcast · Lab-in-the-Loop at Compute Speed - Ian Quigley, Leash Bio
Play from 1:31:26
1:31:26
Audio streams from the publisher’s own feed. Verbatim does not host or copy it.
What was described
Built an engine for data generation and model training that produces reasoning traces (metadata) that can be monetized
Said nearby on the same subject
“…we do that through this chain of thought and reasoning and traces… term… serial depth opacity… make sure we can actually still see what the model is thinking”
JM
James Manyika
Silicon Valley Girl: AI, Tech and Career Growth ·
“You need more pre-training data… give the model a bunch of data and think… transform this data… pre-trained on it would make the model smarter”
♫
Said on "The Cognitive Revolution"
“Then I hired basically backend engineers to build the data lake. The technology is really built on a very fast BigQuery data warehouse.”
MT
Marcus Tober SEMrush
The SEO Podcast: Page 2 Podcast ·
Moments like this, every Monday
The strongest new moments on your topics, in the speakers' own words. Free for three topics.
No card. No password. One-click unsubscribe.
Track a competitor?
Pro watches up to 25 names or phrases and emails you the morning after they are said.
See Pro, $29 a monthVerbatim quotes a short extract and links to the episode; the episode belongs to its publisher. Remove a show.