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Cake day: May 1st, 2024

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  • For now, he does have that yes, but his wealth is for a significant portion a house of cards built on the value of tesla stock. If the value of that stock falls far enough, lenders who gave him loans with tesla stock as collateral could margin call him, essentially asking for more collateral. That could make him the poorest person in the world quite quickly, i.e. billions in debt.


  • It’s also kind of obvious by accounting for concentrations why this kind of carbon capture is a fairytale, isn’t it. Trying to capture from a carbon source like an exhaust, you’ll see a gas that’s easily 80% CO₂, compared to the meager 0,04% (400ppm) concentration in regular air. My guesstimate is that you’ll easily produce more CO₂ than you’re able to capture just trying to move enough CO₂ molecules through the capture device, even if you’re 100% efficient in capture.

    Also a sidenote: I think carbon capture at the source has its use in combatting climate change, but we must not forget reduce > reuse > recycle. Carbon capture is very much recycling, so we should be careful to only do it for situations where it’s very hard to decarbonize.


  • I agree with the overall sentiment, but I’d like to add two points:

    1. Everyone starts off as a code editor, and through a combination of (self-)education and experience can become a software engineer.

    2. To the point of code editors having to worry about LLM’s taking their job, I agree, but I don’t think it will be as over the top as people literally being replaced by “AI agents”. Rather I think it will be a combination of code editors becoming more productive through use of LLMs, decreasing the demand for code editors, and lay people (i.e. almost no code skills) being able to do more through LLMs applied in the right places, like some website builders are doing now.



  • It’s also such a funny contradiction: a big part of the free market model rests on the idea that well informed consumers can vote with their wallet, which should reward good businesses and punish bad ones. Yet it is very difficult to argue consumers have ever been informed enough to make this work, which is in large part due to advertising flooding communication channels with noise, and also because it is unreasonable to expect a consumer to be fully informed for the hundreds of purchases they make on a daily basis.



  • Yeah in this case I think it’s more a case of “hey this guy looks kind of like my son”. In this case I think it led to a miscarriage of justice, but I think in other cases that kind of thinking could protect against excessively harsh punishments. In the end I think it comes down to inequality. Bigger inequality shrinks the pool of people judges can intuitively relate to, which in turn makes judgements more unequal.




  • Even though I haven’t run anything Debian based as a daily driver in about a decade, I still recommend Debian based distro’s to beginners. With Ubuntu being so widespread it just makes sense, because whenever you search for “how do I install xyz on linux” it’s going to be a guide for Ubuntu 99% of the time, which should work on other Debian based distro’s most times.




  • I agree that it’s editorialized compared to the very neutral way the survey puts it. That said, I think you also have to take into account how AI has been marketed by the industry.

    They have been claiming AGI is right around the corner pretty much since chatGPT first came to market. It’s often implied (e.g. you’ll be able to replace workers with this) or they are more vague on timeline (e.g. OpenAI saying they believe their research will eventually lead to AGI).

    With that context I think it’s fair to editorialize to this being a dead-end, because even with billions of dollars being poured into this, they won’t be able to deliver AGI on the timeline they are promising.