Uriel238 [all pronouns]

  • 0 posts
  • 19 comments
Joined 3 years ago
Cake day: June 25th, 2023
  • According to the order, the judges found Aarons to be in direct contempt of court, referred him to the Disciplinary Board for further consideration, and barred from appearing before the court pending the outcome of the board’s investigation. They also threw him off the case in question and assigned a public defender to his former client.

    If they don’t feel the consequences themselves, lawyers will just continue to use LLMs to do their research.

    This is another example why we need LLMs to be required to cite sources.

  • If you think Lemmy is bad, check out 4chan/b and /pol. We’ve had a few active shooters forecast there first, but it’s ignored in a sea of statements of intent and calls to violence.

    An awful lot of people have suicidal or homicidal thoughts cross their mind. Doubly so in an era in which entire demographics have no plausible hope for their future. I, for one, want to see the lifetime appointments of Federalist Society jurists become a liability. Especially, Justice Kavanaugh.

    So this incident raises a question of what specific clause of text convinced a human agent to escalate the matter to escalate to authorities who are very fond of using deadly force. Or if this is just a matter of a corporate CYA response.

  • So I saw a few relevant newspieces:

    ~ Companies are now ceasing their mandate to workers to use AI to do things that used to be done without AI. They’re now saying don’t use AI just to use AI. They’re trying to reduce their token purchases.

    ~ The estimation now for AI use cases is to reconsider if tokens cost ten times their current price. If the use case is still worth it, then that use case will likely survive the bubble. If it’s not worth it, it’s time to hire back employees.

    ~ The hyperscale AI industry will have to make $6 trillion annually to break even. Amazon makes $2 trillion by selling people material stuff. Walmart is similar. There may not be a market for $6 trillion in tokens every year, even from government projects. Also, it’s a bad sign if government projects are propping up the whole stock market.

    ~ China is mostly turning to a software AI model which does home and small business AI tasks fairly well without buying compute from a hyperscaler. You get a gaming machine, get open source AI software and a dozen terabytes of training data, and you should be able to create slop, vibe code or fix the grammar and style of your report. Also, hyperscale models are opinionated and don’t like certain topics. Home-grown AI doesn’t have those objections.

  • Sadly, there is an astounding number of stupid ignorant, gullible people who have not been trained in media literacy.

    In fact, the problem is so epidemic we should have more organizations that create and proliferate media literacy content.

    Such as If a news story sounds dubious, or if you are particularly invested in a story being true, search for other coverage from other news agencies, and (if the story isn’t verbatim) check the facts. The details that are consistent between separate coverage are more reliable than the rest.

  • Predicted by the Twilight Zone

    ETA Yeah, our C-Suite employees are very rich nowadays, so much that it’s difficult for them to not fail upwards when they make stupid (or harmful) decisions.

    Also human upper management and owners resent their own workforce, hence RTOs, efforts to micromanage them, denial of breaks and so on, all of which drastically reduce morale and productivity. This figures in to the hope that AI will replace human workers (almost) entirely, even if AI systems require more cost and maintenance and are less reliable.

    But we don’t train AI based on logic, rather we train it on what’s been done before, hence, for example, predictive policing programs carry the same racial biases that the human-run justice system does, on which they are based. So AI executives may carry the same resentment-fueled policies that their human counterparts do.

    Also if they’re entirely advisory, well, C-suite folk are not great at listening to advice. They tend to believe they’re the smartest guy in the room.

  • George W. Bush was not that long ago. He (too) won with a popular minority. He won by shenanigans in Florida with the help of a partisan SCOTUS.

    Bush ran as a compassionate conservative_ but he moved hard-right as soon as he was in office. He started abusing power such as his conspicuous legal-boilerplate signing statements. (Essentially, _I don’t have to enforce this law, IF i don’t want to.) He immediately started rolling back environmental and consumer protections.

    Then 9/11 happened, and we went to war, and language started pivoting towards Iraq and WMDs. Joseph Wilson wrote an article about how there’s no yellowcake (processed uranium) and to get revenge, the administration (via Scooter Libby) burned the CIA operative Valerie Plame, which was once a huge offense to the intelligence sector during the Cold War. I’m still sore about it, but I’m still sore about much of the Bush administration.

    Soon we started learning about the extrajudicial abductions of Arab, Muslim, Americans, extraordinary rendition (to black sites), torture, the prison camp in Guantanamo Bay, the PMC black ops (precursors to drone-strikes) and so on.

    It was awful. So much that the Democrats were taking seriously blaxk and women candidates for the first time. So much so, that Obama got the Nobel Peace Prize, mostly for not being Bush. (Even he was surprised.)

    I thought the US would never elect a Republican again.

    I totally overestimated the civic savvy of American voters.

  • Trump should keep going.

    He should raname the Atlantic, the American Ocean…

    Rename the moon Trump. Not Trumpworld, just Trump

    Antarctica is now Cold America. We can’t expect Trump or MAGA to comprehend America Australis

    Canada is now Canadian America even though it makes no sense. Greenland is now Green America even though it’s famously not Green at all, but glacial white.

    I want to see if Google and Apple will still humor him, no matter how unhinged he gets. I want to see them shouting to the world how Trump is absolutely the best-dressed emperor in the world.

  • I suppose AI content is human made the way cloth from a power loom is human made.

    The problem is still that we are in the hyperscale era, which is driving a lot of social problems, especially here in the States, and is causing a lot of harm.

    The current buildout is also being driven by the interests of the owners and regime for nefarious purposes.

    So long as data centers are encroaching on neighborhoods, polluting them and seizing needed resources, so long as AI is being used to process mass surveillance, I’m going to see a need to limit its use.

    When it comes to this matter, we may just be adversarial.

  • Privacy-intrusive age verification…for social media and video-sharing platforms.

    I stand by my hypothesis that this merely a protect the children justification to de-anonymize the internet.

    That way, when someone posts video of the situation on the ground in Gaza, the authorities know who it is, and can intervene.

    Here in the states, there’s all sorts of things the regime doesn’t want to appear on video, from ICE brutality and officer-involved shootings, to the conditions in for-profit detention centers, to the conditions in neighborhoods near data centers.

    I don’t know what all videos might be uploaded in the EU, but it’s not completely rosy and rainbows over there.

  • I anticipate for now AI contributions will be from hyperscale compute, rather than from private systems. There is a build cost of home-brew AI engines that is prohibitive for the most of us.

    And that doesn’t change that AI content will saturate the community and push out human-made content.

  • In terms of child casualties, it’s the deadliest American military targeting error of the 21st century.

    This should not be construed to say the United States has been mindful about not killing children.

    I did a bit of research regarding the CIA drone-strike program in Afghanistan. It ran about five-hundred sorties a year. The approximate rate was fifty civilians killed for every person-of-interest. Drone operators called casualties bugsplats. They called children fun sized terrorists. This was the lingo in used in the operation. When reported to the press, dead people, men, women, children, all were reported as militants.

    Drone-pilot burnout was epidemic in the program. It turns out soldiers get PTSD from killing people whether it’s up close or thousands of miles away. And often the drone would lurk for a while, watching all these people eat, work, play, sleep, fuck (they had IR and could see into buildings), and would clearly understand these were just people living their lives when the order would come down to incinerate them.

    And this wasn’t under George W. Bush (who still wiped out villages, but used PMC raiders doing black ops) this was under Obama. The disposition matrix and the FISC decided whether a POI needed to be executed. They didn’t consider the people that lived at the target site.

    And that’s just the Afghanistan program in the International War on Terror. There was also a Pakistan program.

    The United States in its military operations has been really merciless, and at some point we need to collectively decide if we’re okay with that, or are driven to change.

  • I think there are multiple reasons to ban AI slop. One is that it can push out and dilute human-made content.

    Another is that AI use is very resource intensive in an age that we’re facing an accelerating climate crisis. Speaking of which, we’re expecting a pretty extreme El Niño season this year.

    Another is that AI companies are lobbying the US federal government in bad faith (up to and including the current discussions of slowdown), and really don’t deserve any support or patronage.