Technology

And that's without paying royalties to content creators as they should be required to do

An entire industry built around burning cash, water, and electricity to generate questionable answers based on glorified autocorrect. It’s astounding.

Throw another few trillion and a couple dozen rain forests at it. Completely rational behavior.

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.

Why haven't they just asked Claude how to make money with their business model? /s

The loss, up from $13 billion a year earlier, was driven by $72 billion in accounting charges tied to changes in the value of financial instruments Anthropic issued to raise money

This right here is how all of this will come crashing down. Anthropic and OpenAI, along with several associated companies, are using accounting tricks to hide their debts and obligations. These two are trying to maintain hype for investors so they can cash in on an IPO with total disregard for long-term fiscal sustainability. At some point the bill will come due, and you can bet the C-Suite will have already made out like bandits.

All those loans are getting hot. They're starting to toss them around and trying to hide them.

I have strong doubts they can ever make this particular approach to AI work at all, let alone in time to cover their bets.

This path looks like a dead end. But, I don't know jack about shit.

This IPO is going to be one of the biggest rug pulls in history.

$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.

Billion is officially the new million.

Stop_trying_to_make_AI_happen.jpg

The ai crash of 2026 can’t come soon and fast enough

It is obvious to me that AI computing is a COMMODITY, in that it will inevitably be something that can not be effectively gate-kept.

These two major US companies (OpenAI and Anthropic) are playing the game of “locking in” a monopoly in a product category that has yet to mature. This is a pretty old capitalist game, of course… Uber, Microsoft, facebook,and many others have played this game in the past.

But, unlike OSes or word processing file compatibility I don’t see a “network effect” in that an open source/weight model can/will do 99% of what a proprietary model can, will do it “transparently,” will eventually become so optimized that it can run locally, etc. etc.

I mean: maybe its name recondition that is worth “trillions” but a race to be “Xerox” or “Kleenex” or even “PC” (as in IBM PC) did not really work out well for these companies.

I think that even the established players (MS, Google, etc.) are biding their time, making sure that they don’t get locked out while non-proprietary solutions become feasible.

I means I know that much of the issues have to do with the limited availability of hardware, but locking down supply is not sustainable for the “big 2” and sooner or later more adequate memory and GPU supply will enter the market…

Can't wait to end up holding the bag for this because they're "too big to fail" again.

Please don't make the tax payer pay for it. The tax payer is gonna pay for it, right?

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.

80 billion could have bought a whole lot of Chinese EV's to resale and they could have made a profit.

That's a lot of money that could have been spent on healthcare, food security, housing, transit, climate change problems...

"A MINOR SETBACK ON THE PATH TO THE SINGULARITY!" -

i wish them ruin, you made my day

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.

See here's the thing: it isn't really their money, so they don't give a shit. If it was, things would be... ✨different✨

I just recently installed Strata which runs on qwen 3.8 flash next. I'm getting over 50 toks. Now a deepseek v4 version is out along with glm 5.3 flash. It's slower but useable and very capable. All this on a 5080 16GB and 128GB ddr5.

The future for me is going to be open weights and on your own hardware.

Repeating the DotCom burst.