The word for what you're thinking of is "faith". Theory and belief are the constituents of all consciousness.
Young engineers sometimes fall into this trap - that there is absolute truth, and everything else. It would be nice if true, but it's wildly out of line with reality.
"Believing" something is not the same as having a dogmatic faith in something. We (ideally) change our beliefs with every new piece of input. That's good.
> We (ideally) change our beliefs with every new piece of input. That's good.
sounds like a cope. like shifting goalposts. or no true scotsman fallacy.
if I see a tree in front of me, and 2 seconds later I close my eyes, and someone asks me if there is a tree in front of me, should I say yes because I "know" it, or because I "believe" it ?
In that 2 seconds, the tree could have fallen down. So if i said "yes", I wouldn't be lying but I would be incorrect.
Therefore all "knowledge" is belief about some past "truth". Whether you call it faith, evidence-based, dogma etc. they all do fall under the same bucket if you think deeply about it.
> I don’t like them. They talk to me in this grating LLM-voice
I find that what makes people hate LLM-voice isn’t the voice itself. It’s that the voice pings their brain with a reminder of their AI anxiety. That ping makes people instantly upset.
> They confidently bullshit me - often giving me useful, helpful answers. But also just making stuff up with the same assurance … When we think of AI agents, we shouldn’t anthropomorphize... They are (software) machines
I believe these ideas contradictory. I find that people get angry at LLMs bullshitting precisely because they are not anthropomorphizing. People bullshit all the time. But, these are machines! Machines are not supposed to bullshit! And, when they do, there’s supposed to be a bug filed and fixed.
By holding LLMs up to the expectations of machines instead of expectations of (simulated) people, users are frustrating themselves.
If you take the same “trust but verify (everything)” approach with LLMs as you do with people, you’ll be a lot less frustrated.
I can't speak for others, but there's no anxiety in my dislike of "LLM-voice." The writing is terrible, overly dense, and often needlessly self-congratulatory or hedged. Many times it reads as if someone rewrote a perfectly good sentence with an unimportant preamble and adjectives pulled at random from a thesaurus which, I suppose, is kind of what happens.
Micropayments would solve so many problems for the internet. And, cryptocurrencies would solve so many problems for micropayments. But, it's a non-starter because any proposal gets flooded with people popping veins about how crypto can't solve anything.
If it's so easy to solve, go solve it. Set up a test site with micropayments. Maybe scrape CNN and see how many people will pay you micro for a copy of CNN.
Check it out: As millions of people have recognized, we have a new discoverability problem! How about, out of the 9 billion people on Earth, we figure out how to get a few dozen of them motivated to work on that instead of sitting and moping for the rest of our lives about the end of human creativity?
They are ridiculous because the reality of the situation is boring. Boring doesn’t drive engagement. So, all the clickbait headlines and ragebait comments imply scandal. If they didn’t, they wouldn’t get attention.
After being clickbaited and ragebaited, media consumers feel deeply anxious and angry. But, explaining that they are angry over a boring situation feels silly, not righteous. So, they give summaries, impressions, sometimes extrapolation of the bait they have been consuming. That feels righteous.
This observation applies to a wide variety of topics trending in the various media every day. Distinguishing injustice from ragebait unfortunately requires non-trivial effort from the reader.
Lots of wild guesses about mixed human-AI copyright in here. Last time I read the copyright office’s statements in this, their stance was basically: The human owns exactly what they contribute. The rest is public domain.
Yes, that is vague. I think the examples were like:
If you paint a symbol and use an AI filter over that to stylize it, you own the symbol aspect of the image but not the stylized final result.
You can own a book of AI images as a curated collection. But, not the individual images.
Seems about right. Copyright is supposed to literally prevent outright copying. The output from an LLM is not a creative work of the prompter. It's genuinely the opposite, I use them when I don't care about something but have to do it anyway for whatever reason. It makes more time for me to do the things I like working on.
It feels shitty that they have been trained on the life sums of all of our work and online presences with absolutely no credit given... But then again, I'm not sure I'd want to know what parts of the weights were from me and which weren't.
I feel like people will be upset by this take... But you don't get credit for the creativity of an idea alone. Every asshole has ideas. It's called a work of art for a reason, emphasis on WORK.
I’m trying to imaging what giving credit would look like… “Credit: Everyone who has made anything freely observable on the internet.” Would folks be less upset if that was included?
Frankly, I should have been putting something similar attached to any drawings or paintings I make physically. My entire life I’ve been training my brain on countless works of others. And, I’ve never asked one of them for permission or given anyone any credit.
You are reacting to the author reacting to Zuck reacting to Zuck's daughter mentioning she uses AI to help plan recipes. It's a one-sentence, third-hand anecdote in a large article that folks in here are fixating on because of bike shedding.
Maybe Zuck's daughter appreciates cooking differently than you do. If AI helps her enjoy the part she likes about cooking by getting her past whatever friction would make her less likely to cook otherwise, then good for her.
Does anyone have any numbers on what percentage of recent datacenters don't follow those rules? Those are completely reasonable requirements. But, the high-pitched online discussion tends to imply building a datacenter requires doing everything the worst possible way every time.
I know there are problematic data centers. I just want to know what the stats are vs. the rhetoric.
I don't have all the numbers but as someone who lives in VA and has had their power bill _double_ over the last year, I'd be hard-pressed to think DCs are commonly paying their fair share when tariffs like this need to be passed: https://virginiamercury.com/2026/08/05/scc-orders-dominion-t...
When I see stories about how a hardware startup like SpinLaunch has had to move over and over because no matter where they go, locals flood the town hall meetings to declare their relatively boring technology is too scary, I'm not surprised town halls are being flooded over AI datacenters.
Are you talking about the Box Elder County Stratos project? I did some digging into that. AFAIK, they are mostly going to be powered by a natural gas pipeline. I haven't heard of them using nuclear. Got any links?
It is in a remote valley. And, it's going to use less groundwater than the previous use of the land. The only things to really complain about are huge amounts of gas consumption and AI bad. If the locals pinned them down to building out solar and mini-nuke power, the only thing left would be AI bad.
reply