• 93 Posts
  • 236 Comments
Joined 2 years ago
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Cake day: September 29th, 2024

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  • hopefully someone forks off a decent kernel

    uhhh…do you have any idea how much effort would be involved in maintaining a fork of the Linux kernel, just to preserve 486 support?

    this feels like a valuable door to keep open

    it’s not.

    it’s a vanishingly small install base, because of how slow and limited those chips are. the 486 had a whopping 1.2 million transistors. compare that to the big list on this wikipedia page. a few that stand out:

    • Playstation 2 (2003) had 53 million
    • Intel Core 2 Duo (2008) had 230 million
    • Apple A7 (2013) used in the iPhone 5S and iPad Air had 1 billion

    transistor count isn’t an exact proxy for performance, but with those orders of magnitude it puts into perspective just how underpowered that little 486 is going to be, for anything you might try to do with it in 2026.

    an original, first-generation Raspberry Pi will absolutely run circles around a 486. same with going to ebay or a local pawn shop / computer refurbisher and buying the absolute oldest/cheapest used laptop you can find.

    for people who already have 486s and really want to keep them going, the current Debian release still supports 486, and it’s supported until 2028 - meaning you have 2 more years of continuing to receive security updates and theoretically being safe to connect it to the internet.

    and even after that, FreeBSD has “tier 2” support for 386 and higher, and NetBSD supports it as “tier 1”

    and of course, nothing stops anyone from running an old kernel on their old hardware.






  • to some extent, this is “yeah, everyone knows they’ve given arrest quotas, and told to use bullshit AI apps that fabricate arrest reasons” - but it’s still important, for the historical record if nothing else, to have contemporaneous, under-oath statements about it.

    In the hearing, an ICE agent identified as JB testified that his team was given a verbal order to target eight arrests a day.

    JB testified that officers had started the day by surveilling an apartment complex. He suggested officers choose the location in part based on intelligence from an app called Elite. It’s unclear the exact role Elite played in identifying the area as a target – another officer testified that the ICE field office in Portland had provided “intelligence” that led them to visit the site. But JB explained that Elite was a “newer app” given to ICE agents. The app, he said, is “kind of like Google Maps” and shows how many individuals with an “immigration nexus” are believed to be in a certain area. Another officer testified that a “nexus” could mean any history of contact with immigration officials, which could include a naturalized US citizen.







  • Her engaging videos showcase little-known Staples services, boosting customer interest and store traffic.

    There are some businesses that have been around since we were children and are fixtures in our everyday lives. Staples is one of those brands; while we might not have daily needs for things at the office supply retailer, we know it’s there in case we do.

    Even if you haven’t seen her videos on your For You Page (FYP), you’ve most likely seen videos analyzing how effective she’s been at promoting this company or maybe even videos of people going to Staples for projects and saving a ton of time and money, thanks to her.

    holy sponcon batman






  • So I took the entire transcript, dumped it into AI, and asked what the racist dog whistles were in the speech, and it told me.

    right…and then you read the transcript yourself and/or watched the video, to confirm that the summary it gave you was accurate, right?

    …right?

    because if Trump used 9 racist dogwhistles in his speech, and the “AI” summary gave you a list of 10, and one of them was hallucinated, how would you know?

    you’re using the “AI” as a confirmation bias machine. you expect there to be dogwhistles, so you ask it for dogwhistles, and it tells you, “yup, here’s the dogwhistles”.

    try this. pretend you’re a MAGA true believer, take that exact same transcript, and ask the “AI” for a list of ways that the speech demonstrates Trump’s commitment to America First. or for ways that Trump is making America safer, or improving the economy, or whatever.

    no matter what you ask it, it’s just going to fill in the blanks of what it thinks you want to hear.

    humans are really good at confirmation bias, as it turns out. you don’t need to outsource it to a warehouse full of GPUs. you can just do it with your boring old analog brain.

    I get the information to kind of see what he’s up to.

    your news diet is full of empty calories. you read that “AI” summary and you feel like you’re better informed. but you’re not.




  • Eva Galperin, director of cybersecurity for the Electronic Frontier Foundation, believes ICE is fundamentally indifferent as to whether its AI outputs can be trusted. “I think that pointing out that AI is prone to giving ICE bad information is missing the entire point of ICE,” she says. “They don’t care if the information they have is good. There is an enormous amount of pressure from the Trump administration on ICE to simply make arrests and to detain people, to deport people, and to do it in large numbers, and you cannot get numbers that big by adhering to the rule of law, as we have seen.”

    Galperin also regards the Trump administration as the perfect gullible customers for overleveraged AI giants controlled by Trump’s billionaire tech-executive allies. “These companies are often in an enormous amount of debt, and one of the big problems that they’re having right now is that there’s simply not enough uptake by paying customers for all of these products that they’re building in order to justify the enormous cost of running them,” she says. “Leaving the U.S. government holding the bag is a way around that.”



  • That’s just the model we already have documented information about.

    OK. can you link to that “documented information”?

    because I googled “gemma chinese government” and nothing obvious popped up. but maybe I’m just out of the loop when it comes to reasons we should be afraid of those nefarious Chinese people who work for the Chinese government and/or the (insert ominous music here) Chinese Communist Party.

    Notice I mentioned CCP and government, not “the Chinese”.

    uh-huh. so, a thought experiment:

    a genie gives me the list of IP address ranges that the Chinese government is using when it scans the internet for potential exploits.

    I’m going to run Ollama, and expose it to the public internet…except I’m going to deny all traffic to & from those specific IP ranges.

    that’s still a bad idea, right? because there are many many many other possible threat actors?

    this is like the difference between someone telling you “lock your doors at night because of burglars” vs “lock your doors at night because of black people”. you’re showing your whole ass when you talk about cybersecurity in general but then make the jump to “cybersecurity is important because those sneaky Asians will hack you”.








  • The ban had bipartisan support

    yeah…that’s the point I was making?

    the initial attempt to ban TikTok happened in 2020, in Trump’s first term. it was part of the general wave of anti-Chinese racism and xenophobia that the Republicans stoked up during the pandemic.

    the “bipartisan support” for it is because a whole bunch of fucking Democrats hopped on board with it when they really should have known better.

    and even if that all never happened, you’d still be in the same situation.

    to be specific, when you refer to “that all” happening, you mean Biden signing the bill that banned TikTok in April 2024, I think?

    Keep in mind that TikTok also put out messages during that period practically deep throating Trump and sent it out to all their users.

    your timeline is jumping around a bit here, because now you’re referring to “that period” and linking to a source from January 2025, the time of Trump’s inauguration.

    This was going to happen either way.

    sigh. here’s the actual roll call vote.

    it had 197 Republican “yes” votes. which is not enough. it would have failed without Democratic support. and then Biden signed it into law.

    so like I said, this ban only passed because Democrats were bamboozled into supporting a proposal that has its roots in Republican “omg China scary” bullshit. I don’t know how to explain it any more clearly.

    Friendly fire doesn’t do a whole lot of good, but does support Trump, which I’m assuming isn’t your goal here.

    ahh yes, “criticizing Democrats is the same thing as supporting Republicans”, the free square on the bingo board.

    there’s an analogy I saw recently that I really liked:

    there’s cockroaches in my house, so I call an exterminator.

    the exterminator shows up, but he just hangs out with the cockroaches.

    I get mad at the exterminator, and he says “don’t be mad at me, be mad at the cockroaches”.

    but…I was already mad at the cockroaches. that’s why I called the exterminator in the first place.

    also, the cockroaches are cockroaches. me being mad at them is never going to change their behavior.

    on the other hand, if I get mad at the exterminator…it does have a chance of changing his behavior.

    if you want to view the world through an oversimplified lens that there’s the red team and the blue team and you can never criticize the blue team because that’s “friendly fire”…that is a choice that you can make. but don’t act surprised if I don’t subscribe to the same oversimplification that you cling to.



  • golly, just look at how useful AI tools are for normal, everyday people:

    After creating an account, the recruiter opened up an AI resume-generating website called livecareer.com. The previous applicant’s “work experience” page was still open; they used AI to generate a description for their nightclub bouncer job. I was directed to erase that and do the same with my own previous experience as a software engineer. “Make it sound as fancy as possible,” the recruiter said.

    After entering my former job title, a menu appeared with about 65 suggested job responsibilities, like “Mentored junior developers, sharing knowledge and expertise to support their professional growth and development within team.” When I clicked one, a bullet point was added to a “job description” field containing that text. “Click everything,” the recruiter said.

    I read each sentence, confirming that it was an actual part of the job that I completed, then I clicked it to add it to my job description. After I had added about five responsibilities, the recruiter reached over my shoulder to click all of them faster than either of us could read. “According to America, as a software engineer, you did all these things,” he told me. “You’re a rockstar.”