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Goddamm… This could easily have housed every man, woman, and child in this country. But no, no free housing while we squander wealth with our stupid ideas.
this goes in line with thier aggresive pandering to the govt to be used mass surveillance.
Billion is officially the new million.
If any of these AI companies IPO, you could make a lot of money shorting them!
Spacex really changed the game, forcing the markets to load up that ish in our 401(k)'s.
Next, when Musk threatens to “gift” every child spacex stock in their Trump accounts, it’s another form of using the general public as an exit , well artificially propping up the moonshot companies stock values.
It is a Master Class in forcing volatility into the financial lives of not just retail investors but Main Street people.
A billion here, a billion there. Over some time it might become quite a sum.
I’m totally spamming this across the thread with copy/vaste.
80 billion could have bought a whole lot of Chinese EV’s to resale and they could have made a profit.
I’m totally spamming this across the thread with copy/vaste.
Forget resale, for 80 billion you could probably get BYD to produce custom vehicles under your own brand.
Oh sure. Too bad the captive market here in the US wouldn’t allow it.
I’m doing my part by constantly asking chatgpt questions without ever logging in or paying them money. Eventually they’ll all go belly up and maybe we can ditch this shit.
No wonder they’re panicking so hard over open weight Chinese models
I firmly believe OpenAI, Anthropic, etc., will all eventually collapse under their own weight, meanwhile open weight distillations of their models will become the de facto standard for AI usage. There’s just no way they can ever make up all the money they’ve burned in R&D, especially when distillations are right behind them.
they have to pay off those datacenters somehow, the only one whos partially laughing to the bank is jensen.
90% of Anthropic money is enterprise API use which is far less subsidised than their subscriptions being 10% of their income. OpenAI on the otherhand relies on the subs.
There is still going to be a big bubble bursting. It’ll be interesting to see how each company handles it.
Check out what portion of Anthropic revenues turned out to be processing distillation for others, namely Chinese market players.
A huge portion of their revenue basically came from their competitors using their horsepower against them to build the next, better mouse trap
Good.
Repeating the DotCom burst.
but worst. because some of those sites provided actual value, “AI” does not, most heavily used by Palantir/AI as mass surveillance and profiling people for bombings or harrasment.
I’m totally spamming this across the thread with copy/vaste.
Idk man, to me, it feels like we are further from AGI than fusion reactors actually being hooked up to the grid, considering LLMs are still just glorified autocorrects, needing a ton of prompt injections from their providers. And yet, the AI companies make it seem like it’s right around the corner (obviously, because $$$), whereas to me it feels like we are still at least 50 years away. Maybe AGI will be the next fusion generator chase.
Ironically there was notable news in the fusion reactor space this week as Gemini 4, building on the work of Matt Landreman and GPT-6 Astra a little while ago, expanded counterexamples to Grad’s conjecture which had claimed exact solutions for controlling a key aspect of fusion were impossible.
So fusion may actually be more around the corner thanks to the advances of capabilities of AI which helped prove that the fusion problems aren’t as hard as they were thought to be for decades.
And if you actually believe that, I have an amazing business proposition to you. So, there is a bridge in NY, and I can sell it to you for very little money…
Building on other people’s work to provide examples for something is actually one of the things an LLM can be good for.
AGI has been achieved more or less because it just means self sufficient at completing tasks. An LLM is just a component these days because they are Vision-Audio-Language-Models with multi frequency ‘thought’ loops. The next letter is A for action where they just have high frequency outputs for direct computer and robot use.
Just because it is bad AGI doesn’t mean it is not AGI right
See the problem is that people expect AGI to learn on its own. LLMs sorta do with big enough context and writing memories, but… They also don’t. They don’t get better at reasoning or anything, they only get better at solving the tasks they’ve written notes on. Which are themselves often pretty bad notes.
They do learn they use search tools and create long term memories. Mechanically that is just tool use it isn’t magic. Do you need these things as emergent properties for them to be real? That would be cool but I don’t think it takes away what is possible now.
They did manage to do something different, though. I thought at one point that proof assistants should offer to automatically upload your proofs to a central repository so everyone can benefit from them. But such a system would require many to opt in for it to be useful.
What AI does best is giving you existing solutions. It even adapts them if they don’t quite fit. Because many people now discuss their ideas with AI, ideas may spread the same way as well when the conversations are used as training data.
So no, definitely not AGI but valuable. Though as typical of explosively growing startups the value does not come from the technology but from activity bordering on criminal that lawmakers can’t keep up with.
Because many people now discuss their ideas with AI, ideas may spread the same way as well when the conversations are used as training data.
As a training data it’s possible less then useful, unsupervised data like that is actively harmful. As a central repository of everyone’s private conversations it can be in a way useful, but I can’t understand how anyone could be OK with a private company reselling your most private data.
i wish them ruin, you made my day
That is about what Taiwan just purchased in natural resources.
$8B real loss on $16B revenue. ($72B is a bondholder gain (accounting loss) from conversion). $9B in training costs not counted as loss, even though it is worthless whenever next model version is released.
$561B in forced spending on compute over next 10 years, with $750B total compute costs lined up. Structural losses are baked in for a few years.
I’m totally spamming this across the thread with copy/vaste.
even though it is worthless whenever next model version is released.
For most version releases I actually doubt that, I’m pretty sure they just keep training the model and release checkpoints every few months. Architectural changes, however, will indeed invalidate the previously trained models, and occasionally they have to do that to keep up with the competition.
But if you do architectural changes even just once a year, that means you’d have to depreciate those training costs over just that one year to be truthful. Meaning they might as well be losses rather than depreciating capital investments.
New models are trained on older models, so even if the older model is not longer at par, without it the new model couldn’t exists
But, when the word guessing program gains consciousness, it will be capable of doing the job of every worker in the world, and eager to do those jobs, and anybody who owns Anthropic shares will be a trillionaire in an economy that totally works and is healthy. So, better invest now!
Musk giving 1 share (about $160) to all US children with a Trump account, will make the next generation cheer for skynet genocide and oppression. “For a while, it added 10-20% to my net worth.”
Why haven’t they just asked Claude how to make money with their business model? /s
They have.
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Wait for excited CEOs to fire all their staff.
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Crank up the prices.
2 only works if regulatory capture in place to prevent cheaper competition from open models.
That’s why they keep trying to play the “AI is so dangerous” narrative and why you keep hearing about “rogue AI agents” which in reality someone had to instruct to break the law, and they probably used some of their no-guardrails internal-use models (so Claude Mythos rather than Fable).
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