Kogasa

Yes, with Iosevka font

Stokes’ theorem. Almost the same thing as the high school one. It generalizes the fundamental theorem of calculus to arbitrary smooth manifolds. In the case that M is the interval [a, x] and ω is the differential 1-form f(t)dt on M, one has dω = f’(t)dt and ∂M is the oriented tuple {+x, -a}. Integrating f(t)dt over a finite set of oriented points is the same as evaluating at each point and summing, with negatively-oriented points getting a negative sign. Then Stokes’ theorem as written says that f(x) - f(a) = integral from a to x of f’(t) dt.

Would not be surprised if it’s getting confused about a wallet sponsorship

We aren’t trying to establish that neurons are conscious. The thought experiment presupposes that there is a consciousness, something capable of understanding, in the room. But there is no understanding because of the circumstances of the room. This demonstrates that the appearance of understanding cannot confirm the presence of understanding. The thought experiment can’t be formulated without a prior concept of what it means for a human consciousness to understand something, so I’m not sure it makes sense to say a human mind “is a Chinese room.” Anyway, the fact that a human mind can understand anything is established by completely different lines of thought.

This fails to engage with the thought experiment. The question isn’t if “the room is fluent in Chinese.” It is whether the machine learning model is actually comparable to the person in the room, executing program instructions to turn input into output without ever understanding anything about the input or output.

Hom functors exist for locally small categories, which is just to say that the hom classes are sets. The distinction can be ignored often because local smallness is a trivial consequence of how the category is defined, but it’s not generally true

You can get blight free versions of JavaScript too, if you use TypeScript.

In a hypothetical and highly unlikely world where everyone had to pay Oracle to use Java, everyone would switch to something else. It would be guaranteed suicide. Anyway, in that world, they would need to both make this ridiculous decision and win an unwinnable legal battle afterwards. It’s not a realistic concern.

3 billion devices

What’s the lockin? Is it really harder than just swapping the jdk path to switch between Coretto and OpenJDK? I understand Coretto being preferable for performance and security patches but I don’t imagine it’s that big of a deal if one eventually had to switch

Before I blocked the instance I had nothing but miserable interactions with Hexbear users, and it had nothing to do with political opinions.

I’m not suggesting that. It just looks like he did in fact choose to have that hair color.

It looks dyed

I tend to agree, but I also don’t see it as a fault of Linux/Arch. If you’re not the sysadmin for your own system, who is? I’d rather do it, assisted by the collective knowledge of the community, than have Microsoft do it for me. For the last few years it’s only required a handful of interventions, with the vast majority of time being spent on initial setup and (re) configuration rather than fixing bugs or addressing breaking changes. So IMO it’s more of a test of your personal willingness to invest time into learning and building things than your ability to diagnose and solve technical issues.

That’s not necessarily wrong, but not the big explaining factor here I think. The technological challenges behind aligning ML models with factual reality aren’t solved, so it’s not an engineering decision. It’s more that AI is remarkably easy to market as being more capable than it is

Mesa is usually pretty quick to update, it’s just that stable distros won’t update mesa all that quickly. I assume most of them have some way to install a newer mesa from a community repo or something.

That would make it impure

Monkey laundering.

Docker is lighter and easier to manage than a VM. I run a collection of services as docker compose services inside a NixOS host VM. It’s easy to start, stop, monitor, update etc. even from a different computer (via ssh or docker contexts). It’s great.

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