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Cake day: June 5th, 2023

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  • Ashelyn@lemmy.blahaj.zonetoMicroblog Memes@lemmy.worldTrue
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    5 days ago

    We can still push for positive climate policies on the local and state level. If Trump and his cronies try and say states can’t acknowledge the climate in their policy, then we double down and push for it anyways for the reasons of grid resilience and pollution/health instead






  • In the US, there are still a lot from McCarthy-era sentiment and “Communist” is a pejorative within the general population. For instance, The Communist Control Act of 1954 is still on the books. Though it has issues as a law for being really vague, and hasn’t been used seriously against leftist organizing on account of that, it nonetheless remains and has never been outright challenged to the Supreme Court of the United States. Either way, it had a chilling effect, and was pretty successful as part of the US’s broader campaign to demonize communism and communist organizing.

    Because of the way “Communism” and “Marxism” are used within US press and mainstream politics (especially by the Republican party), the average voter is conditioned to view them as bad words accordingly. The Democratic party, trying to court “moderate” voters within the political landscape here, all but refuses to touch those words with a 10-foot pole. It’s not part of their brand (and not part of their policy either, not by any stretch of the imagination).

    Progressivism in my view is an umbrella term, but still pretty linked with liberalism as a movement in the sense that it’s mostly reformist, and acts a subgroup within the Democratic party. Most “Progressive” candidates for US political office are SocDems at most.

    You can call it newspeak, but political movements arise under new/different names as the situation dictates, and often refer to different things. I’d argue that the point of newspeak within 1984 was actually to limit the evolution of language and restrict the development of new words/ideas, but I do get where you’re coming from on account of “progressive” being considered more politically correct.




  • On the whole, maybe LLMs do make these subjects more accessible in a way that’s a net-positive, but there are a lot of monied interests that make positive, transparent design choices unlikely. The companies that create and tweak these generalized models want to make a return in the long run. Consequently, they have deliberately made their products speak in authoritative, neutral tones to make them seem more correct, unbiased and trustworthy to people.

    The problem is that LLMs ‘hallucinate’ details as an unavoidable consequence of their design. People can tell untruths as well, but if a person lies or misspeaks about a scientific study, they can be called out on it. An LLM cannot be held accountable in the same way, as it’s essentially a complex statistical prediction algorithm. Non-savvy users can easily be fed misinfo straight from the tap, and bad actors can easily generate correct-sounding misinformation to deliberately try and sway others.

    ChatGPT completely fabricating authors, titles, and even (fake) links to studies is a known problem. Far too often, unsuspecting users take its output at face value and believe it to be correct because it sounds correct. This is bad, and part of the issue is marketing these models as though they’re intelligent. They’re very good at generating plausible responses, but this should never be construed as them being good at generating correct ones.



  • Advertising is like the Kudzu vine: neat and potentially useful if maintained responsibly, but beyond capable of growing out of control and strangling the very landscape if you don’t constantly keep it in check. I think, for instance, that a podcast or over-the-air show running an ad-read with an affiliate link is fine for the most part, as long as it’s relatively unobtrusive and doesn’t put limitations on what the content would otherwise go over.

    The problem is that there needs to be a reset of advertiser expectations. Right now, they expect the return on investment that comes from hyper-specific and invasive data, and I don’t think you can get that same level of effectiveness without it. The current advertising model is entrenched, and the parasitic roots have eroded the foundation. Those roots will always be parasitic because that’s the nature of advertising, and the profit motive in general when unchecked.




  • I’d also consider myself pretty tech-savvy, but that came from plenty of mistakes growing up including putting malware on the family computer at least twice (mostly ads for these “Pokemon MMOs” back in the mid aughts that were too enticing for my kid brain to refuse 😅).

    It’s very easy for me to forget how much of an outlier my tech experience is among most folks around my age. I had an acquaintance in the first year of college I helped by giving essay advice, and was very surprised to see that the only thing they really knew how to do was basic use of apps on their iPhone. They got a laptop for school, but no computer experience, no keyboard typing experience, and even just the iPhone Settings app was a scary place to be avoided for the most part. To this person, Microsoft Word was a new thing they had to learn on top of everything else. In college. It was also in the South so I don’t know if I should be that surprised unfortunately.

    Regardless, it was pretty wild to me, but a very real reminder that not everyone has access to the same resources education, and/or experience to draw on.




  • The device wouldn’t necessarily have to be constantly streaming the audio to a central server. If it’s capable of hearing wake up words like “Ok Google” it’s capable of listening for other phrases and having onboard processing to relay back the results much more compressed. Whether or not this is common practice is another matter, and yes the algorithms are scary good even without eavesdropping.