That's not how LLMs work. They can only extrude what's in their training data, and they have no way to understand if a case is relevant. This is one of many reason why LLMs are of limited usefulness. They don't encode knowledge, just words. They don't reason, in spite of OpenAI's claims. They're a clever trick, and have some uses, but they aren't a universal solution to knowledge work, nor are they a path towards that goal.

It might exist. Extracting the cites from a brief is trivial (formats are standardized), and then verifying that they exist should (magic word!) be straightforward. What that can't do is verify that the citation is relevant. But I would imagine that if anyone were closely reading the briefs one generated by an LLM would stick out like a sore thumb if you know what to look for. But lawyers and judges are busy, so they don't do that. That's why so many ChatGPT written briefs are showing up, and it's only going to get worse.

That won't work, because LLMs encode relationships between words/tokens in the training data, not knowledge. You can't get a coherent cite just from following probability chains.

No, it's not a search engine. It's a probabilistic algorithm that finds the next likely word to follow what it generated before, extruding synthetic text at the end in the shape of a response to the prompt. The most important thing to realize here is that it doesn't encode knowledge, just the probabilities of what word comes next. There's a very large amount of interconnections in the training data, which is why it can often extrude text that resembles a correct result. What they don't have the ability to verify information against an outside source, which is why you can ask it to only give you cases in the Lexis database and still get completely fictitious cases.

More likely it's the engineers that they wanted, and grossly overpaid for them. Most likely the back-end was OpenAI anyway.

Cisco used to do a ton of acquisitions like this, ones that look pointless, but serve some function. And the function is to get pre-screened engineers, as well as stymie a potential competitor in a field that they might want to enter in the future. Of course, Altman being Altman, they massively overpaid for this one. Effectively they are paying $3B to acquire 191 employees, not all of which will be kept. That works out to around $15.7M per employee before layoffs. By contrast, Cisco used to pay around $100M per company, and inflation isn't THAT bad. Also, Cisco had enormous profits and swimming pools filled with cash to do this with. OpenAI loses $5B/year, and you could heat a city of 1M people with the heat of all the cash they burn.

What it means is that the party line from Meta is that it's full of lies, but they know it's all true. Hence blank accusations instead of refutation. Bozworth proving once again that tech executives are at least out of touch, if not complete idiots. I long for the days of press releases instead of social media tirades, too.

Muskovites think that they're going to manufacture methane on Mars for the return trip using the Sabatier process. No idea where they plan to get sufficient feedstocks, equipment, or power.

F9 Can't get enough of them up there to populate the full constellation before the first sats reach EOL and need to be de-orbited. Starship is necessary for StarLink to operate.

I would really like to see the results broken down by experience level. For juniors? Sure, and that's been replicated in many studies. I want to see how their tools work for developers with 5+ years experience. Or are they just firing every experienced dev and replacing them with bootcamp grads armed with an AI coding tool, since they're so much more productive now?

I've never had a problem with 3rd party toner, but I only use B&W lasers. Overall, my experience with Brother laser printers is that they are the most un-printer-like printers I've ever used, in that they are absolutely reliable, even on WiFi.

Do you also make backstaffs? Or should that be backstaves?

The power to set tariffs was given to the executive decades ago. Congress has no say in the matter, and even if it did, the GOP is just going to roll over and play dead for Trump on every topic.

The fact is that phones represent the worst trade-offs in UI/UX. Multi-touch does not make up for small screens, smaller targets, and the lack of a real keyboard.

When I was last dating, I decided that Android use is a dealbreaker.