But hang on. None of this argument is about companies or people using AI being unfair in their practices. It is about companies and people training models and building AI products being unfair in their practice. (By forcing others to choose between adopting unscrupulous practices or dying.)
I don't think I said anything about people using ai being unfair in their practices, the unfair part being that people are forced to adopt products they find unscrupulous. It's hard to argue you find a thing "unscrupulous" (1934 case) when you use it while also liking the outcomes.
> It is about companies and people training models and building AI products being unfair in their practice.
Khan's argument is tied to an "unfair" definition in a 1934 law, not the colloquial usage today about unfair around copyright usage, which is also debated. The "unfair" there is about any activity which leads into a spiral of decreasing public good. The dark patterns of social media are another place we ought to use this law to hold companies and execs accountable. It's "unfair" because others feel compelled to adopt the practice or lose their business. The News Media industry is another example where this has played out. It is arguable that developers feel "unfairly" compelled to adopt Ai or lose their trade. Certainly many in the field have openly expressed this anxiety. While not exactly the same situation as the case (companies in competition with each other), it is developers in competition with each other in the (perceived to be taken by ai) job market. This was the analogy I was making, which is closer to the 1934 case than the "unfair" copyright around Ai that is widely debated.
The theorem doesn't exist in a vacuum. It talks about objects that must be formally defined. And if that formal definition (which is part of the API) is not immediately compatible with those others use, and every single theorem comes with its own definitions of the objects they're working on, you're going to be reinventing the wheel over and over again.
Replacing thought and curation with repeated automation is tech debt, pushed down to fundamental knowledge and understanding.
All this means in practice is that anyone who wants to use it for ads needs to get in touch with the devs and negotiate another set of licensing terms and an amount...
This author disagrees with this take. They are setting a scene here, and explicitly saying that the Block story wasn't about AI at all a few paragraphs later.
If that "bait" caused you to stop reading despite the fact that you probably agree with the author's sentiment, it's not very good bait.
I agree with none of this. It's clickbait slop, very obviously, and that did make me skim it faster than I normally would have, but I read it. The burden shouldn't be on me to try to understand the point clickbait slop is making. This "style" is unreadable and exhausting and that was my salient point. Read what I just linked, it makes the complete opposite conclusion just a few months ago.
How good, non-slop writing usually works is - you lead with your main point, and break it down further throughout the main article. The fact he contradicts his leading hook indicates slop and bad writing, not failure for me to understand whatever the hell the point of this nonsense is (other than to get clicks).
But, on the whole, the server seems to be doing well enough for something near the top of HN. The website is served by nginx and appears to be mostly static pages.
Pretty sure that's 20% of revenue, and I'm assuming that their business plan relies on skimming from settlements, not just taking donations. But they are also paying investigators and lawyers out of all of that.
If this is a business, which it sure seems like it is, then this is such a messed up idea. Exploiting whistleblowers and the whistleblowing system for profit. And they're trying to incentivize whistleblowers with money too.
Whistleblowers take all of the risk here, and only get 20% of the proceeds. Seems like a pretty shit deal, besides being confoundingly greedy.
There already are people you can trust, who aren't anonymous, who are professionals bound by ethics, and who aren't out to sue for profit: Journalists. investigations@icij.org
And don't forget that Sony and Microsoft have compilers teams, working on specialised GCC and LLVM backends, and sometimes upstreaming general improvements.
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