> the US can “sanction” companies that engage in intellectual property theft.
Peak hypocrisy, US AI companies can train on unlimited intellectual property with 0 rights to it, while Chinese AI companies have to explicitly get the rights to data that isn’t even copyrightable/copyrighted (since AI alone can’t copyright it).
And if the accused company is outside of the US, well, US courts have no jurisdiction so apparently the US government can just claim they are guilty and impose the sanctions...
>Anthropic was asked to pay book authors because it trained on pirated downloaded books.
No, it was asked to pay book authors because it pirated copies of books and stored them on their hard drives. The ruling had nothing to do with training.
Aaron Schwartz was re-publishing the journals, which is the core concern or copyright and indeed where the word "copyright" comes from. Anthropic could get in a lot more trouble if their models are caught reproducing copyrighted work from their training set wholesale.
I think the Aaron Schwartz case is incredibly vexing because he was obviously acting out of a sense of altruism without personal self-interest. I don't think he deserved the book getting thrown at him like that. But the whole copyright system, which people seem to think is simultaneously good and bad, kinda rests on not allowing those kinds of violations
I've linked this several times, but LLMs are capable of reproducing entire books. Researchers were able to extract books nearly verbatim: https://arxiv.org/abs/2601.02671
The judge explicitly ruled that training on the books was fine.
They just should have bought them, rather than pirating them.
Also LLM output is not IP (in itself) in the first place, nor would Anthropic want to claim it is and that they have rights to it - that would drive paying customers away.
> The court also held that the third factor favored fair use as to the purchased library copies converted from print to digital because the purpose of the copying was to keep the books in its library but with more favorable storage and searchability properties. This purpose required copying, there was no surplus copying and the source copy was destroyed. With respect to the pirated copies, however, the court held that because “Anthropic lacked any entitlement to hold those copies” and retained them “even after deciding it would not make further copies from them for training,” this third factor weighed against Anthropic for that particular use.
I think you’re suffering from a false dichotomy. The average car capacity is 1.1 people per car, and 90%+ of the time, a normal individual is not hauling more than a backpack.
Just imagine how much less traffic would be on the road if the people who could just biked. They get 1 protected lane (out of 6), and you get 50% less traffic? Hell yeah, that’s be awesome, right?
In terms of economics, consider how terrible car parking can be. A bike rack can park 20+ people in the space of 1 car parking spot (1-4 people). Do you really think a business would be better off with 1/10th the number of customers who can actually enter their building at once?
Bikes and rail should exist as options, not requirements. And when done well, like in Amsterdam, people will like using them. And driving will be even better, because of so much less traffic.
I think it’s akin to a child growing up with technology, and therefore being able to operate with it at an intuitive level.
These interns have never not used AI (in the industry), so they haven’t had the “handicap” of traditional development experience that slows down their AI usage.
A senior will see a problem they’ve done a thousand times and do it again the same way, a junior with AI will try to make it fit into any new hole they find.
Kagi arguably “pauses” your subscription if you don’t use it in a month. They give you a credit at the end of the month that then applies to the next month, so that people aren’t charged if they aren’t using it.
Weather data in prediction markets can definitely be gamed. One example that exists in real prediction markets is that the contract specifies a single source as the source of truth. But that source rounds data during unit conversion twice (F -> C -> F), meaning there’s an unequal probability distribution, and some numbers have a 0% chance of winning.
If you pay attention, your source has an asterisk of “typically” and “usually”, aswell as a distinction between phenotype and karyotype traits. While it is true that the majority of people with a Y chromosome are male, there are many people with Y chromosomes you’d call female because of their phenotype (which is what society primarily cares about), among other cicumstances.
I specifically said sex. Gender is mostly undefined. If you say that gender is the societal presentation as male or female, but you can’t define male from female then what are you defining? Its the “trans women are women” contradiction.
What are the chances that, just like moltbook, the rankings are botted, meaning that not many people actually downloaded the skill.
People are more likely to download more popular items, so I don’t doubt that people are affected, but given how botted moltbook was, I wouldn’t be surprised for download numbers to be botted aswell.
Peak hypocrisy, US AI companies can train on unlimited intellectual property with 0 rights to it, while Chinese AI companies have to explicitly get the rights to data that isn’t even copyrightable/copyrighted (since AI alone can’t copyright it).
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