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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)FI
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Joined
2 yr. ago

  • The core premise is ridiculous. They're trying to survive an apocalypse in luxury using technology, but maintaining our level of technological luxury requires a global supply chain. The author is right, the best way to survive would be to establish a community that helps and protects each other.

  • Trying to get a progressive agenda by only thinking about the Presidency is like trying to win a game with only hail Marys. We need to focus on smaller races in house and build up from there. It would be a stronger and longer lasting change. Even if you're in an area that doesn't have any competitive progressives running in the primary, you are allowed to volunteer to help progressive candidates in areas that do.

  • I'm really curious what the Google Glass concept would be like with modern technology. I feel like the form factor was poisoned from the backlash at the time, but it seems so much more viable than the stupid bulky headsets.

  • LLMs build on top of the context you provide them and as a result are very impressionable and agreeable. It's something to keep in mind when trying to get it to come up with good answers as you need to carefully word questions to avoid biasing it.

    It can easily create a sense of false confidence in people who are just being told what they want to hear, but interpret that as validation, which was already a bad enough problem in the pre LLM world.

  • Here's an article about that

    But how would he pay the guards once even his crypto was worthless? What would stop the guards from eventually choosing their own leader?

    The billionaires considered using special combination locks on the food supply that only they knew. Or making guards wear disciplinary collars of some kind in return for their survival. Or maybe building robots to serve as guards and workers – if that technology could be developed “in time”.

  • I understand back when Reddit was small and before they killed all their good will, but I don't see why anyone would continue to be a mod now that Reddit has made it clear that they want to monetize their work.

  • As a developer building on top of LLMs, my advice is to learn programming architecture. There's a shit ton of work that needs to be done to get this unpredictable non deterministic tech to work safely and accurately. This is like saying get out of tech right before the Internet boom. The hardest part of programming isn't writing low level functions, it's architecting complex systems while keeping them robust, maintainable, and expandable. By the time an AI can do that, all office jobs are obsolete. AIs will be able to replace CEOs before they can replace system architects. Programmers won't go away, they'll just have less busywork to do and instead need to work at a higher level, but the complexity of those higher level requirements are about to explode and we will need LLMs to do the simpler tasks with our oversight to make sure it gets integrated correctly.

    I also recommend still learning the fundamentals, just maybe not as deeply as you needed to. Knowing how things work under the hood still helps immensely with debugging and creating better more efficient architectures even at a high level.

    I will say, I do know developers that specialized in algorithms who are feeling pretty lost right now, but they're perfectly capable of adapting their skills to the new paradigm, their issue is more of a personal issue of deciding what they want to do since they were passionate about algorithms.

  • I can at least assure you that as a developer, docker is annoying to set up and their documentation is confusing.

    Most things in Linux are easier to set up but sometimes installing things happens to be harder than it should be and docker is one of them.

    You should keep in mind that compared to other OSs, a lot of Linux software is CLI only, so they won't always show up in the applications list and you'll need to check if you have it in a terminal.

  • A worldview is your current representational model of the world around you, so for example you know you're a human on earth in a physical universe when a set of rules, you have a mental representation of your body and it's capabilities, your location and the physicality of the things in your location. It can also be abstract things too, like your personality and your relationships and your understanding of what's capable in the world.

    Basically, you live in reality, but you need a way to store a representation of that reality in your mind in order to be able to interact with and understand that reality.

    The simulation part is your ability to imagine manipulating that reality to achieve a goal, and if you break that down, you're trying to convert reality from your perceived current real state A, to a imagined desired state B. Reasoning is coming up with a plan to convert the worldview from state A to state B step by step, so let's say you want to brush your teeth, you a want to convert your worldview of you having dirty teeth to you having clean teeth, and to do that you reason that you need to follow a few steps to achieve that, like moving your body to the bathroom, retrieving tools (toothbrush and toothpaste) and applying mechanical action to your teeth to clean them. You created a step by step plan to change the state of your worldview to a new desired state you came up with. It doesn't need to be physical either, it could be an abstract goal, like calculating a tip for a bill. It can also be a grand goal, like going to college or creating a mathematical proof.

    LLMs don't have a representational model of the world, they don't have a working memory or a world simulation to use as a scratchpad for testing out reasoning. They just take a sequence of words and retrieve the next word that is probabilistically and relationally likely to be a good next word based on its training data.

    They could be a really important cortex that can assist in developing a worldview model, but in their current granular state of being a single task AI model, they cannot do reasoning on their own.

    Knowledge retrieval is an important component that assists in reasoning though, so it can still play a very important role in reasoning.