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Joined 3 years ago
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Cake day: July 18th, 2023

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  • Yeah, I was going to say something similar. What job you take, where you decide to live, friends you make all have a risk/reward element to them.

    That being said I do believe there is a big difference between polymarket/prediction markets and stocks (or at least some stocks). Prediction markets is either betting on pure chance or against insider knowledge. Technically stocks should be seen as investing in a company (especially ones that pay dividends). Could a company run into hard times and lose you money, sure, but there is at least a bit more freely available information on that available to you.







  • Not the person you responded to, but I’ve liked Tainted Grail a lot.

    It feels more like what skyrim should be in that the RPG elements are more integrated with the gameplay while still keeping the action moving.

    Some general thoughts:

    • I like the writing, it’s nice to have a different world/setting.
    • the combat is okay, but at least requires a bit of skill/strategy.
    • I like the more limited item set with a focus on upgrading/modifying weapons rather than just finding good gear.
    • The fact attributes actually matter in quests/dialog is nice to see and done decently well.
    • Crafting actually feels somewhat rewarding and useful.



  • I mean, it’s either American (OpenAI, Google, Anthropic) Billionaires or Chinese (Alibaba, Z. AI) Billionaires making the models.

    And even if you find a model not built by the billionaire class, you still require datacenters to train the models.

    And even then, the data required to build these models must take from millions of artists/writers/etc.

    I’m not saying you have to hate AI, but saying you can run a model locally doesn’t change who created it and how they created it.










  • My response was only in regard to the speed in which something like IoT devices can operate.

    You’re right that goals/directions of LLMs can be persisted anywhere, but a swarm or fleet of AI running on IoT devices will be severly hampered by compute (based on current models). Which was the main point I was making, in that there is only so much you can do to distribute their processing. Meaning you can parallelize the number of models, but can’t speed them up beyond a certain limit. This is based on the fact that some form of a layer and it’s weights must exist within the memory of a single device.

    The downside to this limitation is that it is temporary, eventually IoT devices will probably be powerful enough, or the worms could just attack phones/laptops and easily get the compute they need. I think the real risk of IoT devices is low security mixed with low “supervision” (no one would easily notice their IoT device is doing extra processing).