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Cake day: August 14th, 2024

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  • No it only applies to books because books have an entirely different legal system than everything else.

    SCOTUS case: White-Smith Music Publishing Co. v. Apollo Co. (1908) created a new issue for the Government about copying people’s printed works.

    Copyright Act of 1909 is passed. New framework is established, books get an entirely different legal system from everything else. Publishers lobbied to prevent it’s passage and fought it especially hard in the Great Depression because libraries were becoming very popular during that time.

    But printed books have a whole different thing that applies to them that doesn’t apply to anything else. So you can’t use “physical medium” because books are a special case and have their own special US law.

    For books, transformative, has to deal with the intent.

    • Book - I want to read them.
    • Anthropic - I want to convert it to weights for use in massive matrix multiplication operations.

    Since the intent is different, the book first sale doctrine applies here to grant transformative. Which is but just one pillar in their defense.

    Same goes for what Google did like a decade ago.

    • Book - I want to read them.
    • Google - I want to convert it to a searchable database of terms that can refer you to the correct ISBN.

    And transformative applies too to things like DVDs, it’s just under a different framework known as the DMCA.

    • DVD - I want to watch the movie.
    • MP4 - I want to watch the movie.

    That’s not transformative.

    • DVD - I want to watch the movie.
    • MP4 - I want to take clips to make memes.

    That is transformative. And again, transformative is but one thing out of the whole “fair use” thing.

    This is the thing. Those news articles are oversimplifying a massive amount of legal technicalities. I’m not saying what Anthropic is doing is correct or not. What I am saying is that the conclusion that people are getting from these stories is like the last 10% of a massively technical legal battle. And running with that small amount can lead to conclusions that aren’t true.

    And I know someone is going to bring it up. No you aren’t LEGALLY allows to rip a copy of a DVD for your personal use. Violates the DMCA. BUT in order to sue you, a publisher has to know ahead of time before discovery, that you broke their encryption scheme, which if you only keep it personally, is impossible for them to ever enforce. So we have a law that is written in a way, that if you never put it online, it’s impossible to enforce the law. As a summary of how all that works.


  • See entry level people believe it’s fundamentals. Smarter people understand that it’s reading people and knowing when they’re dumb enough to invest and knowing when to bail before they wise up. So if you think about it in those respects, it is indeed an honest to goodness “real” thing. People are really being ripped off by con-artist.

    But yeah, the days of the 1890s to 1930s of structured investment, measured risk, and mitigation of the unforeseen, those days are dead. There aren’t market fundamentals outside of being able to identify rubes.




  • Thom Yorke has literally tried everything for selling music. Though it all he’s seen the music industry eventually consume it.

    You can’t invent something new without it eventually turning into what was the old. We can always keep moving the tech, we can always keep inventing some new platform, but we never get to keep to ourselves forever.

    The reason why this keeps happening is because people keep trying to apply a solution that doesn’t apply to the problem. We don’t need some NEW method of delivery. We just need to get rid of the OLD system of industry.





  • Things to note.

    • Gambling is a revenue stream for States.
    • States up to this point have been terrible at managing revenue, gambling now gives them this glut of cash.
    • Gambling has been promoted as a social activity. Know a gambling platform? Likely there’s a whole social media presence for it. And for some digital platforms that include gambling, they may even have whole social network.
    • Aggressive advertising and hidden psychological factors have played a role in how people view it. “Risk-free” sign up, give the impression of harmless entertainment and some platforms deeply hide the gambling aspect.
    • Low barrier to entry. Gambling usually has very little friction to get people into the platform, some even allow very low wagers, allowing “everyone” to get in.
    • The escape illusion is real for the most hardcore. During periods of high inflation, stagnant wages, and high living costs, individuals look for alternative income sources, looking to escape their current situation.
    • And finally, the gig market mindset where everyone feels a need to have a side hustle. Digital income streams with low entry have become popular for fulfilling this mindset.

  • Human beings are terrible at balancing short-term gains for long-term consequences. It’s mixed into our DNA. Our ancient ancestors, securing immediate calories or escaping a threat was a matter of life and death. Long-term planning wasn’t as critical as immediate survival. Now do note, that’s not an excuse for the people who foolish went head long into this.

    This is why this struggle with the rich and powerful is eternal. It fundamentally taps on an ingrained flaw we collective fall for every single time. There is no one solution, there can never be one solution. People must forever fight themselves and the powerful from the exploitation of this fundamental flaw of humanity.



  • Ish.

    The issue is that it isn’t a straight shot as a lot of people paint. Call Centers work off of User Interfaces, AI can’t see or use those, so those UIs suddenly have to be retooled in a way that the AI understands, which that’s not easy. Additionally there’s business logic that is complex and there’s a lot of siloed knowledge, all of that is hard to extract and put into a model that’s usable.

    The thing is that these LLM and AI companies were thinking the rest of the world is as structured as the data models they trained their AIs on and that’s just not the case. The LLMs can absolutely do the task if given the task correctly, it just that it’s near impossible to give the task they need to perform correctly in 100% of the situations. Hell, even humans fail this, people get written up at call centers all the time.

    To put it simple, you ever hear the joke, “we don’t have to worry about AI taking the programmers jobs because then the CEO would have to accurately explain the problem they’re trying to solve/sell”? It’s IRL that, that’s holding up a ton of the LLMs in call centers. Like there’s two VERY narrow processes that the company I work for has implemented AI for, and those are really basic situations where explaining the full scope is pretty easy.

    But take what I have to say with a grain of salt. I can’t say the company I work for has ever really been that gung-ho about AI to begin with. But I can tell you that it’s WAY, WAY, WAY more work to deploy AI than the tech bros like to paint it. Like you can just hit the button and “go”, but it’s going to crash and burn. Like to get it right is way more work than the AI industry let’s on.





  • Many local government’s aren’t on the home rule, they follow some form of the Dillon Rule. This applies to utilities and land use. For some local areas they are required by some degree to follow the State’s allocation and billing of utilities to remain classified as a public utility in the State.

    In many areas our legal framework at the State and local level were never made to handle what’s coming down the pipe with new advances. This is why I always indicate that data centers and their impact need to be addressed at the local level. That’s why I think Federal regulation is the wrong step for the building part of AI. This is very much a local and/or State level that needs to desperately be answered there.

    The good news is that we see more people who are involved with their local government with this issue. But this underlying issue has been one since the 1970s, it’s just that these companies have hired firms that are incredibly well versed in the shortcomings of local ordinances and State law. It’s super difficult to patch up flaws in the laws when they’re being exploited at rapid fire pace.


  • That supply is constrained artificially for particular markets. There’s nothing that stops Samsung, Hynix, or Micron from indicating particular runs for different sectors. And if those three had not removed other competition, we would have producers to increase that supply.

    Again, this doesn’t absolve the AI industry in the least. But we have makers that are only making limited selections of product for pure gain and are able to do that via their manipulation of the market. We don’t always have to have a good guy and a bad guy, it can bad guys all around.