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18 results for “controversy”
...one big YC controversy. In 2023, there was the AI news generator Glorbo, which was accused of plagiarizing journalists. And then just, I don't know, six months ago or so, there was Pear AI, which is an AI coding editor that basically admitted to clon
18:41 / 19:55
from transcript18:41 – 19:55
like, thoughtful person, and they'll generate some slop that maybe, like, 200 people in the world can actually understand and make sense of. But, of course, they wanna seem like the most interesting, thoughtful, like, intelligent person, but this jus
9:41 / 11:13
from transcript9:41 – 11:13
in a lot of a lot of hot button topics right now. Totally. Totally. There's a little bit of a motte and bailey where people you were talking about, sort of the critique of institutions. Instead of sort of assessing the critiques, some people deflect
41:14 / 42:16
from transcript41:14 – 42:16
moderate. So people there's a big debate. Do I interrupt too much or not enough? Do my interruptions, I call them interjections, do they help? And I actually looked at the interjections. And if if you look at McLaughlin, have you do you guys did not
47:24 / 48:23
from transcript47:24 – 48:23
...controversy. We got quite a bit of flex at the time for putting images into web pages under the theory that that would, like, fundamentally make everything worse because you'd have, like, normal content. That would be bad. And then, you know, so said
1:02:15 / 1:03:16
from transcript1:02:15 – 1:03:16
of controversialness from IG TikTok onto x linkedin, and they're just so not ready for it. That feels like the craziest thing ever. And this is something that I said before, but I guarantee, like, my videos do not go as viral on Instagram, like, Inst
10:24 / 11:48
from transcript10:24 – 11:48
...controversy, you know, how we vocalize and express, our views on things. And and I would just say there, like, you know, there there's a real there's a tension. There's a real it's, you know, maybe obvious, but, like, a very important tension. Like,
59:59 / 1:01:08
from transcript59:59 – 1:01:08
the areas that, we covered and where I would like to see progress on. I try to make sure it's between one to three, so it's not the whole list. And then the working team, we have a new process we started a while back, which is called Briefback. The t
17:28 / 19:21
from transcript17:28 – 19:21
...controversy. This is it's an interesting question of, like, you, your trust in government probably follows some type of, you know, logarithmic expectation or linear expectation of, like, the farther you are removed from those people, the least trust
14:11 / 15:17
from transcript14:11 – 15:17
...be controversy of some degree. Like, I I'm sure people I'm sure there's someone who hates Stripe. I don't know why they would, but I'm sure that person exists. Just like there's someone who hates Walmart. It's like they're trying to sell cheap grocer
21:28 / 22:46
from transcript21:28 – 22:46
people who basically are brave and controversial and take controversial stands, and articulate things clearly. And they and they want that for a bunch of reasons. One is because it's a demonstration of courage, which they appreciate, but the other is
1:00:33 / 1:01:50
from transcript1:00:33 – 1:01:50
...controversy over whether normal people should should be on it or not. There was controversy over whether the kind of content normal people wanted to be on it should be allowed to be on it.
1:01:30 / 1:02:34
from transcript1:01:30 – 1:02:34
critical. I think of companies using commercially available AI models via popular API hooks. I mean, like, a lot of companies are doing this. I think I'm right. I think if you use the commercially available models and you're not containing the learni
42:45 / 44:00
from transcript42:45 – 44:00
You take super high IQ people and you put them in a research or university setting, they go crazy. Like, they very frequently go very nutty on anything involving politics or society. Yep. And this was the American physics community in the nineteen tw
1:01:25 / 1:03:21
from transcript1:01:25 – 1:03:21
a different size of quorum depending on the size of the check, so who needs to be there. There are always folks from each office. So it's very important, you know, because we work as one team across offices. And then we vote. We vote one to 10. You c
24:39 / 26:30
from transcript24:39 – 26:30
It's come that is that just unknowable? Yeah. I guess I guess that's an interesting one because it's it's a case where Raiders are actually very polarized. I guess it actually kinda fits into the the core algorithm where there are some people who are
1:44:14 / 1:45:21
from transcript1:44:14 – 1:45:21
And so I have not been on reality TV. My understanding is if you're trained on reality TV, like, your mission is to create drama. Right. Right? It's it's like it's like the oppo it's right. It's the opposite training. Right? Your your mission to righ
56:12 / 57:24
from transcript56:12 – 57:24
Lead users. These are people who are not just creating something to go make a buck and seeing a a need in the market and making a widget. They're users of their own products. They love the product, and they understand what it's doing or what it needs
1:05:10 / 1:06:21
from transcript1:05:10 – 1:06:21
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