Xavienth @ Xavienth @lemmygrad.ml

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2

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867

Joined

5 yr. ago

We are not water.

But the weather is.

It's not too expensive, it's just more expensive than getting hydrogen from fossil fuels, so the only reason you'd electrolyze hydrogen from water right now is if you're trying to be green.

Hydro-LOx (read: water) is one of the most efficient conventional fuels, and it's in use in NASA's Space Launch System powering the Artemis program.

Even if you assume somehow all the fresh water has disappeared, there's still solar-powered electrolysis to create hydrolox from sea water.

Taking a natural language question and providing a foothold on a subject by giving you the vocabulary so that you can research a topic on your own.

"What is it called when xyz."

O fuck

Somebody is going to see this title and immediately jump to "See? The big corporations are all MARXISTS"

Delete all IP law ❌

Delete all P law ✅

And thus we see why UBI will never be a solution. You need an overwhelming political movement by the people outside the electoral system. And if you can force through UBI, why would you, when the people could actually take the reins.

Also there is no "point of no return." Every extra kilogram of CO2 is an extra small increase in temperature. The more we emit, the worse it gets. It's not on-off.

One, I said they are no more commonplace than they were ten years ago.

Two, I never said LLMs will go away. In fact I said they have their uses. But, and I will say this again in stronger terms: They are stupid, rote memorizers. Their fundamental flaw is that they cannot apply intelligent, rational thought to novel problems. Using them in situations that require rational thought is a mistake. This is an architectural flaw, not a problem of data. Large language models predict text, they cannot think. They can give an illusion of thought by aping a large body of text that itself demonstrates thought processes, but the moment a problem strays from the existing high quality data, the facade crumbles, it produces nonsense, and it is clear that there never was any thought in the first place. And now that we've scraped all the text there is, the body of problems LLMs can imitate the solution for has reached its greatest extent. GPT will never lead to a rational agent, no matter how much OpenAI and co say it will.

Smartphones reached their current saturation about 10 years ago, and perhaps not coincidentally that's when they stopped improving. Can you honestly say that since 2015, cell phones in developed countries have gotten more common? At a time when people were already giving them to 10 year olds? Can you even say they've become more useful, when you could already browse social media, check the weather, apply for jobs, write documents, and order food to your door with them?

Love how when someone has issues with Linux but not Windows somehow it's pebkac. Classic annoying Linux user response.

We've hit a wall in terms of progress with this technology. We've literally vacuumed up all the training data there is. What is left is improvements in efficiency (see DeepSeek).

LLMs are cool, they have their uses, but they have fundamental flaws as rational agents, and will never be fit for this purpose.

Reducing the amount of time people have for socializing and starting families will definitely fix the demographic collapse!

Telsa

Go outside

"If you swallowed or inhaled this battery you'd be exposed to significant amounts of radiation."

It's beta radiation, which can be stopped by a layer of tin foil, I think. So yeah if you ate the source itself that would be bad, but if you eat the battery with the casing, probably much less bad?

In uni they told us part of the purpose of lab coats was to be able to take it off quickly without second thoughts about sentimental value in case of e.g. fire.

I'm curious how safe it is. Like, obviously it's not powerful enough for a phone, but if it were, would you want to put it in your pocket right next to your balls?

I'm gen Z and I did that lol