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Cake day: June 22nd, 2023

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  • If you are suggesting that LLMs are sentient, then this isn’t a “mild disagreement”, it’s the San Andreas fault.

    “If you are suggesting X is black then we’re mortal enemies”

    Theres more nuance then black and white, don’t be so internet brained.

    There are so many technological leaps that have to happen before AGI can become real that I am certain that neither of us will see that day.

    Name them if you’re so confident.

    We’re already operating models with simulated neurons on the order of magnitude as brains. Unless you plan on dying this decade or the next, there’s a reasonably likely chance we’ll live to see AGI.

    No one has claimed this is sentient, but that doesn’t mean that it’s not interesting, nor does it mean that it’s not interesting that a structure that seems to function similarly to one in our brain emerged.simply from the way they trained it.









  • Cory Doctor’s recent book on Centaurs and Reverse Centaurs is worth reading.

    The core idea of that is that centaurs are a human top and machine / alien body, they’re effectively augmented humans with all this technology to help them excel.

    Reverse Centaurs are human bodies and machine / alien tops, where the humans are just checking the work of systems and are subservient to them. He points out that that’s one of the fundamental differences between Amazon and the Postal Service is that in the case of Amazon drivers, they basically function as a reverse Centaurs where they are just an appendage of the delivery car, tracked and managed by that car, to do the tasks the car can’t do on its own.





  • Sure yeah, this stuff happens all the time, and often persists until people start noticing the application being sluggish and they go and investigate and fix the slow points.

    Alternatively you have tightly integrated software that only one team can work on and it takes years to come out and every time a feature needs to change its another 6 month job of reworking everything, and debugging and fixing security issues is a nightmare.

    In most systems, not just computers, there’s a tradeoff between a highly integrated and high performance design, vs a modularized loosely coupled one that’s more adaptable and resilient.

    Just look at automotives, Teslas have a unibody design that makes them cheap to build and low weight, that also makes them enormously expensive to repair and impossible to find aftermarket parts for.

    Choosing maximally integrated is rarely the best path, there is always a middle ground.





  • Most people in the world never faced any serious threat of jail time for copyright infringement. The absurd punishments handed down to average users is purely an American thing.

    The contrast against the weirdly punitive American justice system is not the problem with AI companies.

    The reality of the situation is that copyright is and always has been a horseshit system for its purpose. The entire concept of “property” is one that applies to physical goods, that are in limited supply. It does not apply to things that are abundant and ubiquitous, i.e. no one owns the air because the air is wildly abundant and everywhere.

    Information: music, art, storytelling, is not physical matter. Unlike physical matter, a story can be instantly copied by as many people as can hear it, because information does not obey the same scaling laws as physical matter. Vinyls and recording equipment started exposing how infinitely copiable information is, and computers and the internet really drove that point home.

    Copyright though, has always been a dumb fucking system that hamfistedly tries to apply the ownership laws of physical properties to that of information. It does so by forcing artificial scarcity on that information and creating all of these walls and systems to maintain that scarcity.

    Copyright has never been fit for purpose, and the better we get at processing information, the more evident that becomes.

    AI companies are problematic because they are literally burning huge amounts of resources to replace humans while there are no mechanisms in most societies to ensure humans still get resources if the robots are better than them. That’s the actual problem with AI companies, and it’s fundamentally a problem with capitalism.