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Cake day: August 8th, 2023

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  • If I had to come up with a steelman argument for small “AI focused” systems like this, I’d say that the more development in this space, makes the cost of entry cheaper, and actually eventually starves out the big tech garbage like OpenAI/Google/Microsoft.

    If everyone who wants to use AI can locally process queries to a locally hosted open-source model with “good enough” results, that cuts out the big tech douchebags, or at least gives an option to not participate in their data collection panopticon ecosystem.





  • Almost more concerning is the way big tech has consolidated on standards that hurt anonymity, even though they aren’t legally required to.

    For example, have you tried to make a burner email account lately so you can register at some stupid app or site that you only intend to use once? It is surprisingly difficult now because all the “legit” email providers are moving towards requiring phone-based (mobile SMS) 2FA which inherently deanonymizes you in the US due to KYC laws.

    Also the throwaway email sites like GuerillaMail are being blocked more often by various sites. Their domains are now frequently blacklisted so you can’t use a burner account as easily to register anonymous social media or other website accounts.





  • Well it’s “here to stay” I agree. But there are some real economic indicators that it is also a bubble. First, the number of products and services that can be improved by hamfisting AI into them is perhaps reaching critical mass. We need to see what the “killer app” is for the subsequent generation of AI. More cool video segments and LLM chatbots isn’t going to cut it. Everyone is betting there will be a gen 2.0, but we don’t know what it is yet.

    Second, the valuations are all out of whack. Remember Lycos, AskJeeves, Pets.com etc? During the dotcom bubble, the concept of the internet was “here to stay” but many of the original huge sites weren’t. They were massively overvalued based on general enthusiasm for the potential of the internet itself. It’s hard to argue that’s not where we are at with AI companies now. Many observers have commented the price to earnings ratios are skyhigh for the top AI-related companies. Meaning investors are parking a ton of investment capital in them, but they haven’t yet materialized long-term earnings.

    Third, at least in the US, investment in general is lopsided towards tech companies and AI companies. Again look at the top growth companies and share price trends etc. This could be a “bubble” in itself as other sectors need to grow commensurate to the tech sector, otherwise that indicates its own economic problems. What if AI really does create a bunch of great new products and services, but no one can buy them because other areas of the economy stalled over the same time period?