machine learning

“Currently what we can do in machine learning is more like the system when the stuff that, you know, here is an input, here is an output that does not re require reasoning if you want.”

“There is no intelligence without learning. And in the engineering world, it's almost true as well. And it's probably because I'm either lazy or not smart enough to, that I think that as human engineers, we cannot actually directly conceive and construct an int…”

“If you look at the subset of tasks where machine learning can Help or take over for humans or augment humans. It adds up to about a trillion dollars worth of work if you were most conservative.”

“What we found was that in most jobs, there were some tasks that machine learning could do better than humans, or would be able to if you applied the technology, and there's kind of a gold rush now to do that. But in not a single occupation, we looked at all of…”

“Our analysis that we did in a follow-up paper with Daniel Rock of Wharton suggests that as with the previous wave, the next wave of technology also will disproportionately affect some of the lower and middle skill jobs compared to the higher skill jobs”

“One of the super interesting things about generative AI is inherently because you're not training the models yourself, you're taking models from Amazon and Meta and a whole host of other stability, AI, and just building on top of them, ah, it makes machine lea…”

“Going to zero user investment seems good in the short term, but I don't think it's good in the long term because you actually lose signal from that user. And at the end, I think they feel less participatory in the experience.”

“And also, you know, another, another BS thing that Apple pitched, which this is privacy thing, which honestly, like, I cannot believe how much mileage they got out of that. They kind of just painted themselves into a corner because, you know, all these other c…”

“In the precision system, one of the inherent advantages is that the data is so regular in structure that we're able to compress it. We're able to learn across patients, across populations, and leverage those learnings in the machine learning algorithms that we…”