solresol

The second case mentioned in the article is interesting because no other case about employee choice had gone to merits before.

Thus it might be the first example of AI winning a case that sets some kind of precedent.

At the very least it shows that AI can put together coherent legal arguments even when there are no close precedents or case law it can refer to. This was something a lot of lawyers didn't believe would be possible for AI to do.

In some fields, all of those statements are true already.

In a large number of few fields, all of those statements will be true in the near future (10 years maximum).

There's no reason that the Humboldtian model should be the right structure for the next century's universities, just as it wasn't the right structure for the 18th century's universities.

I got banned for violating terms of use apparently, but I'm mystified as to what I rule I broke, and appealing just vanishes into the ether.

Has anyone else got examples of reasoning traces where it uses a word in a way that no human being would?

I create a separate Linux user (which doesn't have sudo rights) for each project. I have to log each user in to Claude code or codex, but then I can use ordinary Unix permissions to keep the bots under control and isolated.

> The volume of cargo carried by sailing vessels in the old days was orders of magnitude lower.

Surprisingly, no, it wasn't. I'll slightly fudge the numbers and talk in terms of proportion of world trade that was carried by ocean-going vessels (because if you double the population then it's reasonable to talk about doubling the number of ships).

The world economy was very globalised in 1913. That level of globalisation in trade wasn't matched again until the 1990s.

We're only a little more global now than we were in the age of sail.

The British navy and merchant fleet was a wonder of its era.

Writing a course for a customer on how to use Claude Code well, especially around brownfield development (working on existing code bases, not so much around vibe-coding something new).

If the "outcompeting" is possible because of Chinese government subsidies, then it's important to protect local industry from unfair competition.

It's similar to the logic behind anti-trust actions against monopolists. If the playing field isn't level, then the USA government steps in to level it.

(Whether BYD is subsidised or not is another question, but the above is the logic of protecting local industry.)

Indeed. The obvious counter-example to the claim is "rainbows" which were definitely the topic of heated scientific argument for hundreds of years (and non-scientific ones before that).

I think of it as trying to encourage the LLM to want to give answers from a particular part of the phase space. You can do it by fine tuning it to be more likely to return values from there, or you can prompt it to get into that part of the phase space. Either works, but fiddling around with prompts doesn't require all that much MLops or compute power.

That said, fine tuning small models because you have to power through vast amounts of data where a larger model might be cost ineffective -- that's completely sensible, and not really mentioned in the article.