He / They

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Joined 2 years ago
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Cake day: June 16th, 2023

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  • Voter harvesting usually involves knocking on doors and asking if volunteers can deliver completed absentee or mail-in ballots to voting centers or ballot drop boxes, a legal act in most of the country, and encouraged by both parties. But in 2021 Gov. Greg Abbott signed legislation that outlawed delivering a ballot for a third party, the law which is now being challenged as unconstitutional.

    So yeah, it’s not voter fraud at all, it’s Texas criminalizing absentee ballot deliveries (which are important especially for the elderly and disabled), and then calling it ‘fraud’.




  • One of the interesting things of exploring other languages on especially social media is that you realize just how un-moderated the US platforms are for anything but English. When people talk about Facebook advancing genocides, it’s the platforms not bothering to moderate non-English content but still applying their maximum-engagement algorithms in those spaces, so you get this snowballing of negative content.

    Be wary if you go looking for non-English social media (it’s actually not hard at all, you use a VPN and change either your OS or browser locale settings), because you can easily end up seeing some grisly stuff.




  • That’s not diminishing returns in terms of time and speed, which is CanadaPlus’ point. 100km/h faster is 100km/h faster, not 100% increase each time. The time reduction is perfectly in line with the added speed, so for 100 kilometers of distance:

    100km/h = 1hr -> 200km/h = 1/2hr -> 300km/h = 1/3hr -> 400km/h = 1/4hr

    It would be diminishing returns if doubling the speed each time didn’t halve the travel time, but “diminishing input = diminishing output”, or 100% -> 50% -> 25%, etc, is not diminishing returns, that’s linear.

    The first time they added/input twice as much speed. The second time they didn’t.

    An actual example of diminishing returns would be the cost to speed ratio, where doubling the budget each time will not result in a doubled speed, e.g.

    $10m = 100km/h -> $20m = 200km/h -> $40m = 325km/h -> $80m = 525km/h


  • I actually asked my locally running LLM(s) to rework my resume and specifically to add in any common skills or tools for the roles that I didn’t have listed (8 years as a generalist you touch a LOT of stuff, and I hadn’t remembered quite a few of them), and removed any that weren’t applicable.

    I’ve been getting a decent number of interviews (3 this week, 2 last).

    One would hope a network engineer knows how to configure routers, but if you just say Cisco, the AI won’t give it as much weight as when you say both

    Honestly this isn’t just an AI issue, this is also a recruiter issue. The hiring manager gives a role description and a list of skills or other keywords for the posting, but the recruiter doesn’t know what half of them are. An actual human may not know that “Cisco” + “network engineer” = configured routers. Hell, I’ve had people ask me if Cisco (who I actually did work for, but not as a network engineer) is the food company, thinking of Sysco.


  • From what I’m seeing and hearing in the tech space, I think the opposite is true. I think the current admin’s war on non-white people is making companies really wary of hiring H1B holders (even European ones) and even green card holders.

    A lot of companies are just halting hiring altogether for a bit, and the ones who are hiring are looking for local, laid-off tech workers at lower salaries, who have to take it because there’s such a glut of them to compete with. Somewhat counterintuitively, this doesn’t mean an easier time for Americans to get hired, it means fewer overall Americans getting hired period (which the recent jobs reports prove to be the case).

    Companies tend to hire visa’d workers when they are doing rapid business expansion, because that’s when saving the 20-30% per-head adds up (e.g. if you’re saving 20% per-head when hiring 100, you’re saving yourself 20 salaries-worth, but if you’re hiring 5, you’re better off getting the most experienced ones who give you the best bang-for-your-buck). And no one is doing rapid business expansions in this economy.



  • t3rmit3@beehaw.orgtoTechnology@beehaw.orgAI Is A Money Trap
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    4 days ago

    and there is not a single actually profitable company

    This is a little misleading, because obviously FAANG (and others) are all building AI systems, and are all profitable. There are also tons of companies applying machine learning to various areas that are doing well from a profitability standpoint (mostly B2B SaaS that are enhancing extant tools). This statement is really only true for the glut of “AI companies” that do nothing but produce LLMs to plug into stuff.

    My personal take is that this is just revealing how disconnected from the tech industry VCs are, who are the ones buying into this hype and burning billions of dollars on (as you said) smoke and mirrors companies like Anthropic and OpenAI.







  • Literally all the time.

    Every major piece of tech in use by police domestically was built originally for military use. Every large police department in the US operates fixed-wing surveillance drones, stingrays/imsi-catchers, camera-based tracking systems, etc. All but the smallest departments receive tons of milsurp vehicles, weapons, and gear. Night vision and thermal imaging systems were military tech, and now they’re standard for police. CS gas was military gear (until it was banned under the Geneva Convention), and now it’s used exclusively by police.

    And that’s just use of military tech against us by police. Get into domestic surveillance by 3-letter agencies, and it’s even worse.


  • people are fundamentally egalitarian but are led to collapses by enriched, status-obsessed elites, while past collapses often improved the lives of ordinary citizens.

    After a time new “elites” will worm their way into power, sure, but in the meantime things are often better, and things may even end up less bad at the next ‘peak’ of elitist control than the last time. Since it’s currently getting worse by the day, it doesn’t seem as though the normal calculus of “don’t risk collapse to fix imperfection” really applies; we seem to be heading for collapse (whether economic, democratic, or otherwise) anyways.