> Lets redefine work into discovering the world again. Let people do old handcraft jobs, let them do more sports, let them read more, let them write and make more. Let them enjoy nature.
Why leave something so important up to what AI does or doesn't do?
> I certainly don’t think individual cells have any subjective experience or sense of agency.
There's definitely research and scholarship that would beg to disagree with you there. At least in terms of completely writing off the notion of "agency" when it comes to cells.
> something like the universal approximation theory comes to mind, transformer architecture clearly has the shape of a universal algorithm approximator
But what is the shape of the algorithm of the human brain? It has a complex physical structure. We know the folds on the surface are important, but why is that shape specifically important? The brain is made up of two hemispheres - why, what does that do? There are different "types" of brain inside the human skull. There are physical areas that perform specific tasks. There are different types of neurons. Then there chemicals that interact with the brain, changing how it function depending on things happening to the body. All that stuff and more is the "algorithm" of the human brain. It's not the same algorithm as an LLM.
I'm hearing different from PhDs. The bottleneck with much research isn't "trying out ideas" so much as it's all the bureaucratic minutiae, grants, mentoring PhD candidates, collaboration with other researchers, etc.
I've heard LLMs can be helpful in limited targeted ways. But not as some kind of "game changing" accelerant.
Same size? Maybe by a bit. Cost? Absolutely. Newer flagship models are often slightly larger each generation, but not even 2x. But more efficient architectures are coming out all the time, and it'd be a waste to retrain an old model. So it washes out.
Well, it seems like collectively we are all struggling to perceive model progress, given that it seems like every reply to you is reporting different experiences with which of the models has subjectively performed best for them.
I have my original gmail address from 20 years ago still and even old youtube videos my friends and I uploaded from ~18 years ago.
The cringe is rough but at some point the cringe becomes so bad it loops back around to me just feeling nostalgic and grateful that there's proof I was able to do things, create, be silly, whatever without worrying about appearances so much.
Also, I figure if I ever become a megalomaniac then old youtube videos of my teenage self doing parkour should go pretty far in humbling me (although, honestly, I think 13 year old me was way cooler than I am now, so I guess it could backfire).
Also it was but a few months ago that their CFO said, in a court filing, that Anthropic's revenue across the entire lifetime of the company "exceeds $5 billion". Pretty strange.
How is it strange? The "exceeds $5B" quote was from December 2025. Anthropic has seen tremendous growth since then, ever since Claude Code with Opus 4.5 got really good at coding.
If you've ever been at a startup, this is exactly what it looks like when you go from not having product-market fit to having it (though with a few extra zeros on the end compared to most).
All three of those are official releases from Anthropic. You can choose not to believe the if you like, but since they plan to IPO this year it's in their interest not to get caught lying to potential investors.
As a non-public company they can use whatever non-GAAP black magic accounting to claim anything while still not technically lying. It just doesn't correlate to anything we'd actually call revenue.
Not at all, because the magic can be applied differently at different times. They're undergoing a funding run now so they've got a massive incentive to come up with all kinds of revenue.
They've also signed a deal for billions in compute with xAI for april-may so they're certainly using that to fake billions in revenue using non-GAAP bullshit. It just seems a tad more likely than them legitimately increasing actual revenue by 233% in four months out of the blue.
Sorry man I hate to say this but you and many others need to stop commenting on accounting, finance and economics as its clearly way out of your realm of expertise.
Do you know what revenue recognition is? Do you know what accrual accounting is? Do you know of the phenomenon that is 'managed earnings'?
The only true objective number in finance is cash flows.
> Their revenue has quadrupled in just a few months
Maybe, maybe not. We haven't seen that S-1 yet. All we have is the 5B in lifetime so far. PLUS - revenue quadrupled or not, it only matters if their costs did not expand at the same rate or more. Revenue is not profit.
OK, so when S-1 comes out you will finally allow yourself to be wrong? Your prior is, a 1T company plans to IPO and their leader has been loudly committing an insane amount of fraud? I mean this of course is possible but that is quite the conspiracy. The scrutiny of an IPO would be a crazy thing to do if you were committing fraud at the scale you're suggesting.
Revenue is not profit yet the discussion in this particular thread is about revenue.
No, it's not. It's a stupid thing to say. Perfectly stupid assumption. There are 1000s of multi billion $ revenue companies operating and as a % the number that are fraudulent is close to zero, especially those public or looking to go public. There is always the possibility, but it's extremely naive to think it's likely.
Why leave something so important up to what AI does or doesn't do?
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