What podcasts say about Grant Sanderson
Every statement, with the speaker, the exact quote and the moment it was said.
What Grant Sanderson has said on podcasts
15 statements · 12 positive · 2 negative · 1 neutral
AI solves IMO geometry problems rapidly through brute force.
“geometry just solves in like 19 seconds in 2024 because it's kind of a brute force solver.”
Open the episode · Grant Sanderson – AI and the future of mathListen at 2:16
AI struggles with IMO combinatorics problems.
“But it struggles on those combinatorics ones.”
Open the episode · Grant Sanderson – AI and the future of mathListen at 2:47
AI systems should learn to distill complex theories into concise representations.
“You would still want to train AIs to be able to do that and find the compressed representation.”
Open the episode · Grant Sanderson – AI and the future of mathListen at 25:09
Novel mathematical insight and clear explanation may share an underlying cognitive capability.
“the same part of the brain that comes up with the correct new way of thinking about it at a research level also has this knack for good explanation.”
Open the episode · Grant Sanderson – AI and the future of mathListen at 34:44
AI systems will probably surpass most humans at explaining and distilling mathematical ideas.
“I kind of suspect that actually they'll also be quite good at doing that and probably Just better than most humans are at doing the explanation half and distilling half.”
Open the episode · Grant Sanderson – AI and the future of mathListen at 35:05
People will continue preferring human curators because motivation is socially shaped.
“we would always still prefer a human that we had a relationship with, because the way that we get motivated to be interested in things is a social phenomenon.”
Open the episode · Grant Sanderson – AI and the future of mathListen at 36:50
Most useful AI mathematical progress over five years will involve discovering connections across fields.
“most of the useful progress from these models will look like in the next five years is just really filling in that landscape of connections that you can draw.”
Open the episode · Grant Sanderson – AI and the future of mathListen at 41:21
Automated formal mathematics could run autonomously for a decade and produce results.
“you could press go and then just pour, compute at it and look away for 10 years and then come back and say, what do you have? And there's going to be something.”
Open the episode · Grant Sanderson – AI and the future of mathListen at 59:21
Continuous AI-driven expansion of Mathlib would likely yield mathematical insight.
“It would be very surprising if that didn't yield some sort of interesting mathematical insight from it.”
Open the episode · Grant Sanderson – AI and the future of mathListen at 59:35
LLMs are best used to locate suitable human-written learning resources.
“basically using it like a very souped up version of Google on zero in on the right human written resource.”
Open the episode · Grant Sanderson – AI and the future of mathListen at 1:19:20
Teaching will be among the most stable careers after AGI because it is relational.
“I actually think teaching is one of the most stable post AGI jobs that there is because it's so relational.”
Open the episode · Grant Sanderson – AI and the future of mathListen at 1:26:31
Teaching is likely to remain highly stable for the next fifty years.
“that's probably one of the most stable careers that's going to exist over the next 50 years.”
Open the episode · Grant Sanderson – AI and the future of mathListen at 1:26:55
People directing AI-generated mathematics toward useful applications will gain economic value.
“the people who understand it and are able to make the decision of where it should point, they actually have a lot more economic value.”
Open the episode · Grant Sanderson – AI and the future of mathListen at 1:28:49
Major mathematical breakthroughs are unlikely to immediately create equally major economic breakthroughs.
“It seems less likely that the massive breakthroughs in math immediately turn into this massive economic breakthrough.”
Open the episode · Grant Sanderson – AI and the future of mathListen at 1:31:14
AI progress in mathematics will likely produce economically valuable improvements within five years.
“it would be a little bit disappointing and a little bit surprising if there weren't over the next five years, like, economically valuable improvements that were made that were directly referable to AI progress in math.”
Open the episode · Grant Sanderson – AI and the future of mathListen at 1:32:02
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.