← Scaling current AI models
What podcasts say about Scaling current AI models
Every statement, with the speaker, the exact quote and the moment it was said.
What experts have said about Scaling current AI models
2 statements · 1 negative · 1 neutral
Scaling AI models can produce discontinuous jumps in emergent capabilities.
“as you add in more data and you train the models with more compute, you essentially see these actually discontinuous emergent capabilities jump”
Open the episode · Anthropic’s first technical PM on token maxing, the jagged edge, and living in the future | Dianne PennListen at 18:28
Scaling current model size alone cannot close the human-AI sample-efficiency gap.
“So scaling the size of current models simply can't make up for that discrepancy.”
Open the episode · The data black hole at the center of AIListen at 7:28
Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.