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Cake day: June 30th, 2023

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  • But I think the point is, the OP meme is wrong to try painting this as some kind of society-wide psychological pathology, when it’s rather business people coming up with simple reliable formulas to make money. The space of possible products people could want is large, and this choice isn’t only about what people want, but what will get attention. People will readily pay attention to and discuss with others something they already have a connection to in a way they wouldn’t with some new thing, even if they would rather have something new.


  • that is not the … available outcome.

    It demonstrably is already though. Paste a document in, then ask questions about its contents; the answer will typically take what’s written there into account. Ask about something you know is in a Wikipedia article that would have been part of its training data, same deal. If you think it can’t do this sort of thing, you can just try it yourself.

    Obviously it can handle simple sums, this is an illustrative example

    I am well aware that LLMs can struggle especially with reasoning tasks, and have a bad habit of making up answers in some situations. That’s not the same as being unable to correlate and recall information, which is the relevant task here. Search engines also use machine learning technology and have been able to do that to some extent for years. But with a search engine, even if it’s smart enough to figure out what you wanted and give you the correct link, that’s useless if the content behind the link is only available to institutions that pay thousands a year for the privilege.

    Think about these three things in terms of what information they contain and their capacity to convey it:

    • A search engine

    • Dataset of pirated contents from behind academic paywalls

    • A LLM model file that has been trained on said pirated data

    The latter two each have their pros and cons and would likely work better in combination with each other, but they both have an advantage over the search engine: they can tell you about the locked up data, and they can be used to combine the locked up data in novel ways.


  • Ok, but I would say that these concerns are all small potatoes compared to the potential for the general public gaining the ability to query a system with synthesized expert knowledge obtained from scraping all academically relevant documents. If you’re wondering about something and don’t know what you don’t know, or have any idea where to start looking to learn what you want to know, a LLM is an incredible resource even with caveats and limitations.

    Of course, it would be better if it could also directly reference and provide the copyrighted/paywalled sources it draws its information from at runtime, in the interest of verifiably accurate information. Fortunately, local models are becoming increasingly powerful and lower barrier of entry to work with, so the legal barriers to such a thing existing might not be able to stop it for long in practice.




  • I have an Index also, one thing I find frustrating is that because the Quest has such a dominant marketshare and packages games differently, some smaller VR games and experiences I see seem to be only available as an apk file for Quest sideloading and there is no straightforward way for me to play them.

    The main reason I don’t use it more though is I never got past the physical discomfort, I still feel nausea playing most games for more than a few minutes, and headaches from the pressure on my scalp/face if going longer than that, ie. trying to watch a movie with the headset. So that basically means I’m not going to just spend a lot of time passively chilling out in VR, it has to be some specific thing I want to do that feels worth it to push through the discomfort involved and can be gotten through relatively quickly. Mostly that ends up being just Beat Saber.




  • do they need to? I don’t think so.

    Why not? How can you be sure that all these laws are going to be about all the same things and not have many tricky edge cases? What would keep them from being like that? Again, these laws give unique rights to residents of their respective states to make particular demands of websites, and they aren’t copy pastes of each other. There’s no documented ‘best practices’ that is guaranteed to encompass all of them.

    they don’t want this solution, however, but in my understanding instead to force every state to have weaker privacy laws

    I can’t speak to what they really want privately, but in the industry letter linked in the article, it seems that the explicit request is something like a US equivalent of the GDPR:

    A national privacy law that is clear and fair to business and empowering to consumers will foster the digital ecosystem necessary for America to compete.

    To me that seems like a pretty sensible thing to be asking for; a centrally codified set of practices to avoid confusion and complexity.



  • In 2022, industry front groups co-signed a letter to Congress arguing that “[a] growing patchwork of state laws are emerging which threaten innovation and create consumer and business confusion.” In 2024, they were at it again this Congress, using the term four times in five paragraphs.

    Big Tobacco did the same thing.

    Is this really a fair comparison though? A variety of local laws about smoking in restaurants makes sense because restaurants are inherently tied to their physical location. A restaurant would only have to know and follow the rules of their town, state and country, and the town can take the time to ensure that its laws are compatible with the state and country laws.

    A website is global. Every local law that can be enforced must be followed, and the burden isn’t on legislators to make sure their rules are compatible with all the other rules. Needing to make a subtly different version of a website to serve to every state and country to be in full compliance with all their different rules, and needing to have lawyers check over all of them would create a situation where the difficulty and expense of making and maintaining a website or other online service is prohibitive. That seems like a legitimate reason to want unified standards.

    To be fair there are plenty of privacy regulations that this wouldn’t apply to, like the example the article gives of San Francisco banning the use of facial recognition tech by police. But the industry complaint linked in the article references laws like https://www.oag.ca.gov/privacy/ccpa and https://leg.colorado.gov/bills/sb21-190 that obligate websites to fulfill particular demands made by residents of those states respectively. Subtle differences in those sorts of laws seems like something that could cause actual problems, unlike differences in smoking laws.








  • It’s not actually clear that it only affects huge companies. Much of open source AI today is done by working with models that have been released for free by large companies, and the concern was that the requirements in the bill would deter them from continuing to do this. Especially the “kill switch” requirement made it seem like the people behind the bill were either oblivious to this state of affairs or intentionally wanting to force companies to stop releasing the model weights and only offer centralized services like what OpenAI is doing.