• I mentioned this in another thread, but I do worry that google is eventually going infect the APIs that metasearch engines like DDG, Kagi, searchxng, etc depend on.

      In my experience, a lot of the sysadmins who run high traffic sites will treat all bots as scrapers that have to be blocked or slowed to a crawl. Then they make special allowances for googlebot, bing/msnbot, and a few others. That means there is a massive uphill climb (beyond the technical one) to making a new search engine from scratch. With Google and MS both betting the farm on LLMs I fear we’re going to lose access to two of the most valuable web reverse indexes out there.

      • I fear that as well. I use Searx-NG at home, so am expecting that to start dying a death of a thousand cuts soon.

        Was thinking about standing up (or contributing to) either YaCY or Stract, but you made a good point about the bot allowances for the Googlebot et al crawler UAs. Wonder how frowned upon it would be to spoof the crawler UA in a self-hosted one?

          •  Admiral Patrick   ( @ptz@dubvee.org ) 
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            2 months ago

            …yeah.

            I had that thought after I replied when I realized that most of the reputable search crawlers will publish the IPs/ranges they use in addition to the UA. The disreputable ones (cough Bytedance cough Xiaomi cough) will just spoof Chrome on Windows 10 and flood you with requests from AWS datacenters in Shanghai or Singapore.

            That said, I may still continue looking into working with one of the actual self-hosted search engines (vs meta search) and see how well that works.

      • Yeah. This is going to suck worse before it gets any better. The good news is that all the useful content (outside of sales gardens) is going to be here in the Fediverse.

        The other good news is that the state of Cybersecurity investment is abysmal, and the walled garden content is going to get breached/leaked/pirated a lot, for a long time to come.

      • Is coming, and more. Very good video, with good points. Slightly outdated already, with AutGPT being a thing. What’s coming, is going to be orders of magnitude more than what they predicted in that video.

        • Slightly outdated already, with AutGPT being a thing.

          That’s the really disturbing thing and what makes this challenge so different to all others humanity has faced to date. I think Asa even referenced in the presentation that some of his slides were going out of date on a daily basis, that’s how fast the technology was moving.

          •  jarfil   ( @jarfil@beehaw.org ) 
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            1 month ago

            Yup.

            They also correctly identify the function of LLMs as a glue between siloed AIs. We have barely seen the beginning of that, but as the AI race continues, it seems likely that some LLM models will be created that will have less human language, and more “interop language”. Where nowadays LLMs can be somewhat probed for words and relationships, we’ll have zero chance to probe an LLM using tokens that are part of some made up (by the AIs) interop language. Black boxes inside black boxes.

            A naive approach will be to “democratize AI”, and that will surely be better than centralized AIs responding to every query… but won’t solve the deepening of inscrutability.

            One point made me chuckle: when they showed the graphs for cualitative jumps above certain network size. Recently someone commented about the “diminishing returns” and “asymptotic growth” of making a LLM larger and larger… but also so it was in these models: diminishing returns all the way up to a point… followed by a sudden exponential jump until the next asymptote. The truth is we don’t know where the asymptotes and exponential jumps lie, we don’t even have a remote hypothesis about it.