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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)I

ignirtoq

@ ignirtoq @feddit.online

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58
Joined
11 mo. ago

  • 𝚒𝚏...

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  • The code block I wrote is a statement followed by an if. What I meant be "backwards" was the order of conditions, not that the statement came after the if. It's exactly what you asked for.

  • 𝚒𝚏...

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  • Python, though the logic would be backwards:

     
        
milk_gallons = 6 if eggs > 0 else 1

  • “I Didn’t Vote to Lose My Job”: DOGE Destroys $1.2 Trillion Industry as Rural Workers Bear the Cost

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  • That's what I meant by "private contacts." They don't outsource every single possible federal job, otherwise there would be no executive branch left. So the public sector jobs are highly efficient, and the waste has been outsourced to the private contracts where it's more obfuscated.

    We could do those jobs much more cheaply and efficiently by nationalizing them, but then that would be "big government," even though it would be saving tax payer dollars when all the accounting was said and done. So 🤷.

  • “I Didn’t Vote to Lose My Job”: DOGE Destroys $1.2 Trillion Industry as Rural Workers Bear the Cost

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  • "I believed we were cutting waste in Washington,” Mitchell said in an interview with local news. “I didn’t think they’d fire the people actually fighting fires and maintaining trails. That’s not waste—that’s the actual work.”

    It's all actual work. The relentless assault on all federal institutions for the last half century had the initial effect of making the vast majority of them the most efficient systems in existence. Both political parties initially agreed they should not be wasteful, and through several rounds of reform they became more efficient than private organizations doing the same job can even theoretically be. But it's never actually been about "waste," and they stated cutting bone by the early 2000s. The only federal jobs left do actual work, and better, more important work than the vast majority of private sector jobs.

    The waste is in private contracts that don't fund public sector jobs. But DOGE didn't go for those.

  • LG Electronics unveils 2026 Gram Laptop line with aerospace composite - up to 50% lighter than macbooks

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  • Personally I'm fine with them taking the noise levels from the aerospace industry, too. My primary concern is how's the battery life?

  • How the "Marvelization" of Cinema Accelerates the Decline of Filmmaking

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  • There's no "how" explained in this article. It's a few paragraphs saying very vague, abstract things, with just one somewhat concrete example in the lightsabre that I didn't really get because they didn't go into any real explanation. Is this article written by a movie critic for an audience of movie critics? Because I definitely don't seem to be the target audience.

  • Nvidia takes $5 billion stake in Intel under September agreement

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  • U.S. ‌antitrust agencies ⁠had cleared Nvidia’s investment in Intel, according to a notice ‍posted by the U.S. Federal Trade Commission earlier in December.

    Are they even giving reasons anymore? Or is the "antitrust agency" just a guy napping in a corner they periodically wake up just to give a thumbs up?

  • China parents buy AI clips of regretful single women to urge childless kids to marry

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  • What ghouls. Let people live the lives they want.

  • Locked

    Agriculture uses 98% of humanity's land usage

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  • You can see this very clearly flying almost anywhere. It's most obvious in places like the Midwest US, but even between cities in more densely populated regions, there's so much farmland. Islands of concrete in oceans of ordered crop fields.

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  • I interpreted that as for soups and stews. Peel the clove and plop it in. Once the cooking is done, take it out, like you would do with a bay leaf.

    I personally would never use garlic that way. I absolutely put it crushed into my stews. But that's how I read the image.

  • I Went All-In on AI. The MIT Study Is Right.

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  • We’re about to face a crisis nobody’s talking about. In 10 years, who’s going to mentor the next generation? The developers who’ve been using AI since day one won’t have the architectural understanding to teach. The product managers who’ve always relied on AI for decisions won’t have the judgment to pass on. The leaders who’ve abdicated to algorithms won’t have the wisdom to share.

    Except we are talking about that, and the tech bro response is "in 10 years we'll have AGI and it will do all these things all the time permanently." In their roadmap, there won't be a next generation of software developers, product managers, or mid-level leaders, because AGI will do all those things faster and better than humans. There will just be CEOs, the capital they control, and AI.

    What's most absurd is that, if that were all true, that would lead to a crisis much larger than just a generational knowledge problem in a specific industry. It would cut regular workers entirely out of the economy, and regular workers form the foundation of the economy, so the entire economy would collapse.

    "Yes, the planet got destroyed. But for a beautiful moment in time we created a lot of value for shareholders."

  • Google's Agentic AI wipes user's entire HDD without permission in catastrophic failure

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  • Eh, average is an ambiguous term. While in statistics it often means "mean," it can also mean "median" or "mode," and I would argue the layperson saying "average" intends it to mean "typical," which is closer to median (or even mode). And in that case, those 85 percent would not be smarter than average.

  • My Life Is a Lie: How a Broken Benchmark Broke America

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  • That would only be true if what people had to spend their money on stayed the same, and the author goes through great detail showing that the individual components of what people have to spend their money on to "exist" (i.e. a minimum cost of economic participation) have changed drastically in 60 years. Not only that, some of those pieces (child care, health care, higher education) have increased in cost breathtakingly faster than inflation. Sure, you could reduce that to a statement that "therefore the inflation metric is wrong," but the author goes on to show what a better, more representative metric would look like and tell us about the economy, and that's a good discussion mostly orthogonal to whether the inflation calculation is correct.

  • My Life Is a Lie: How a Broken Benchmark Broke America

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  • This is an amazing breakdown of how catastrophically bad the definition of the federal poverty line is in the modern economy. They use sound logic and data to calculate that the value should not be around $31,000, but in fact closer to $140,000.

    With this foundation, they revisit common graphs that economists trot out to "prove" life has objectively improved for the majority of Americans in the last 60 years, and show that they actually show the opposite. Those graphs are built on top of the poverty line, and that calculation is bunk, so the whole argument crumbles.

    The obvious next step would be to calculate the improved poverty line at key points in America's last 6 decades and generate corrected graphs, but that seems like a monumental effort. I feel like someone could make that into a dissertation.

  • New magnetic component discovered in the Faraday effect after nearly 2 centuries

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  • It always bothered me in class that they said the magnetic field of light was just too weak to have any significant effect compared to the electric field, but I just accepted it because I was still learning. Good to know my intuition wasn't too far off.

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  • Well the snake oil salesmen have taken over the health department. It was only a matter of time.

  • When it comes to nukes and AI, people are worried about the wrong thing | It’s more subtle than Skynet.

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  • TL;DR: While governments are putting out assurances AI won't make the final decision to launch nuclear weapons, they are tight-lipped about whether they are putting AI in the information gathering and processing components that advise world leaders making the decision to launch nuclear weapons. In risk assessment, there's little difference between wrong AI making the launch decision and a human informed by wrong AI making the launch decision.