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15 results for “ai jobs”
especially if revenue trends continue, I expect to know a lot more about this in a couple in a year or two, probably within the next year because it will just be the case that, okay, we will have AI's earning enough to sub stand to be, like, a substa
23:13 / 24:22
from transcript23:13 – 24:22
Broadly, if you talk about, like, the start up opportunities, I'm not wholly skeptical of tools companies, but I'm fairly skeptical. There's always an exception for every rule, but I believe that, certainly there's a big market for frontier models, b
24:45 / 25:49
from transcript24:45 – 25:49
think a lot of jobs have limited data that anyone can can train from. And so I think it'll be interesting to see how how easy is it for research efforts to to overcome that that bottleneck. If you had to make a guess on what job category is going to
17:58 / 19:01
from transcript17:58 – 19:01
it's one of the things that I'm constantly learning. And I could spend an hour going through all of the strategies and tips and tricks and all the rest of that, and I think that's really important to do. Now, the other part to get to it is to say, th
4:29 / 5:31
from transcript4:29 – 5:31
...of jobs that frankly are in trouble, but I think for the vast majority of knowledge workers, AI is amazing. There's a lot of stuff you can't do. So this phantom AGI, someday with AI that can do everything a human can do, I think we're very far away f
14:55 / 16:19
from transcript14:55 – 16:19
Some of these banks and unions have systems from the eighties and they don't wanna change it because it works. So the same thing is gonna be true of whatever AI system they adopt. So we need to get there first. To get there first, we need a large inf
36:42 / 37:46
from transcript36:42 – 37:46
...kind of jobs. And I think that what you start to see is you see slices of things happening. For example, I hope it's not anyone's job in 2024 to do just expense reports, but an AI can do your expense reports. It can kind of look at your invoices. It
18:43 / 19:48
from transcript18:43 – 19:48
...jobs to be created. Everyone could still be influencers. But, on the higher end, it's like, there are not very good individual things that you can point to where it's very obvious that AI can't automate that job at this point. Now you could argue, ok
18:43 / 19:46
from transcript18:43 – 19:46
AI is amazing. There's a lot of stuff you can't do. So this phantom AGI, someday with AI that can do everything a human can do, I think we're very far away from that. Honestly, I know like decades away, maybe even longer. And the trick is if AI could
15:13 / 16:48
from transcript15:13 – 16:48
If you start to think about the half life of skills getting shorter and shorter, and we've done some work at our global institute that said for an employer the return on investment that you give an employee in terms of skills has shrunk by about half
29:20 / 30:20
from transcript29:20 – 30:20
...that can really leverage AI. And so so people who are good at using AI to to accomplish their jobs,
18:42 / 19:46
from transcript18:42 – 19:46
My biggest advice right now is truly become an expert in AI. Not how the models are trained, but in using AI for daily work. Like, if you are not an expert in just incredible prompt engineering, how to write the perfect prompt for doing a research pr
16:23 / 17:33
from transcript16:23 – 17:33
episode, everyone's building agentic AI at the moment. Y Combinator's Spring Batch alone had over 70 startups in that space out of a 144 startups in the cohort. The industries include solopreneur support, home buying, health care developer tools, som
15:43 / 16:47
from transcript15:43 – 16:47
Is it fair, like, as a starting point to say that nobody really agrees on the definitions of AGI and ASI? I kinda think there's a lot of disagreement, but among I've been getting pushback where a lot of people kind of say the same thing, which is lik
3:14:13 / 3:15:17
from transcript3:14:13 – 3:15:17
experience of all the other different humans in The United States and across the world, and you and you speak a certain way to each other. You convince each other of a certain thing, and that that can get you into real trouble. Whether AI is a big su
2:41:10 / 2:42:17
from transcript2:41:10 – 2:42:17
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