AI companies

“False negatives are harder And most companies will do solutions like this and forget to figure out how to label the false negatives.”

“There are definitely some that have, you know, tens of thousands of stars on GitHub. But if you look at the use, where those stars are coming from, it's mostly hobbyists, and I'm sure you can monetize hobbyists and sort of grow from there. But I think it is li…”

“Real-time is getting closer and closer and I think it will be perhaps the sole focus of many companies over the next couple of months.”

“I think it's actually very important that AI companies start to establish similar governance policies, because this is something that requires that level of just oversight and of assurance. It is a becoming You know, a massive industry, and just like there are…”

“You can't just sort of trust models to get safer by getting bigger. You have to put in the work to actually make them safer. And this is, I think what a lot of AI companies are investing in. This is why we in fact do have models that are improving on these dim…”

“There were a lot of conversation about hitting data walls, and it seems like we did not quite hit it. So the larger the model is, the more data it needs to ingest to be trained. And it seems like different companies kind of found different ways to overcome the…”

“So like more than one in six signups at AI companies are this kind of abuse.”

“There's a lot of risk from just internal deployment, especially if you're deploying within AI companies and government, right, which are two of the most high stakes Applications”

“But then that actually really happens by sort of early in 20, 28, like SWE is fully automated. SWE within AI companies is fully automated.”

“I think that a bunch of likely government action at least seems to push in favor of AI companies keeping their models internal and not deploying them, which I think for the risks that I'm most worried about doesn't help and in fact is anti-helpful”

“AI companies are not robust to employees at those AI companies or to outside actors in terms of stealing their model, sabotaging their models, or like back-drawing their models, or like data poisoning them.”