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Cake day: August 9th, 2023

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  • The main findings from the Economic Index’s first paper are:

    • Today, usage is concentrated in software development and technical writing tasks. Over one-third of occupations (roughly 36%) see AI use in at least a quarter of their associated tasks, while approximately 4% of occupations use it across three-quarters of their associated tasks.
    • AI use leans more toward augmentation (57%), where AI collaborates with and enhances human capabilities, compared to automation (43%), where AI directly performs tasks.
    • AI use is more prevalent for tasks associated with mid-to-high wage occupations like computer programmers and data scientists, but is lower for both the lowest- and highest-paid roles. This likely reflects both the limits of current AI capabilities, as well as practical barriers to using the technology.

    Interesting, not really surprising, and nowhere near as entertaining as when Pornhub does it’s annual introspection.














  • The scenario you describe with ISPs is pretty US-centric, as are the various copyright laws and companies backing it, which is (one of the reasons) why many of the most successful VPN companies are either not based in the US (and most have server nodes that are not too).

    Mullvad is from Sweden, for example, and Proton is from Switzerland, so if a content company can even figure out which endpoint nodes are hosting/routing the pirate content they then also have to figure out (a) who owns the node and (b) then send them an angrygram which will just immediately be torn up by the VPN provider as they’re not subject to US law.

    Finally, an operating principle of these companies is to keep no logs, so even if a US-based VPN company got an angry letter, they’d probably be unable to do anything since they would have no record of the activity.








  • will_a113@lemmy.mltoTechnology@lemmy.mlWhy are we not banning algorithms?
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    28 days ago

    Algorithm is just a fancy word for rules to sort by. “New” is an algorithm that says “sort by the timestamp of the submissions”. That one is pretty innocuous, I think. Likewise “Active” which just says “sort by the last time someone commented” (or whatever). “Hot” and “Scaled”, though, involve business logic – rules that don’t have one technically correct solution, but involve decisions and preferences made by people to accomplish a certain aim. Again in Lemmy’s case I don’t think either the “Hot” or “Scaled” algorithms should be too controversial – and if they are, you can review the source code, make comments or a PR for changes, or stand up your own Lemmy instance that does it the way you want to. For walled-garden SM sites like TikTok, Facebook and Twitter/X, though, we don’t know what the logic behind the algorithm says. We can speculate that it’s optimized to keep people using the service for longer, or encouraging them to come back more frequently, but for all intents and purposes those algorithms are black boxes and we have to assume that they’re working only for the benefits of the companies, and not the users.


  • Algorithms can be useful - and at a certain scale they’re necessary. Just look at Lemmy - even as small as it is there’s already some utility in algorithms like “Active”, “Hot” and “Scaled”, and as the number of communities and instances grows they’ll be even more useful. The trouble starts when there are perverse incentives to drive users toward one type of content or another, which I think is one of the fediverse’s key strengths.