this post was submitted on 07 Jun 2026
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Of course it is, it’s essentially a scam. They just need enough humans to keep investing until they check out and run with a bailout.
Funny thing is, the US government doesn't even have nearly enough money to bail all these mfa out. So we are heading into uncharted territory here
Of course they don’t, that’s why they’re building bunkers. Thinking it’ll slow us down, as we’ll open their bunkers like cans of tuna. A bunker only works for so long, then the survivors start hunting for them like delicious shipwrecks.
Yeah, but it's not like they would be smart enough to know that
they are going to argentina. apparently NZ has blocked thiels compound.
And that's why they're trying underhanded tactics to inflate earnings and IPO directly into the index funds, so every American's 401K will legally have to rebalance and invest in them. They're racing to fleece retirement funds before the bubble bursts.
Not financial advice, of course :p but people should really consider getting their stuff out and into self-directed funds or whatever it is US people do to not depend on auto-allocated funds.
Money printer go brrrrrrr
I don't get why companies get to legally bailout like this. Why do people have to suffer for their bullshit? Enslave the CEOs if you have to make things right, leave the people out of it.
That's simple, because the people making laws and overseeing the adherence to those laws are great buddies with those same CEOs.
So, corruption.
Though i do agree with you, there is no such thing as too big to fail. Government shouldn't have any handouts to corporations.
These levels of corruption are frustrating; money shouldn't decide the law.
No handouts to corporations, indeed. Make them pay.
thats why they are peddling it to governments for "surveillance AI"
Both Uber and Spotify (and AWS too) had economics of scale going for them - the more users they have, the more the infrastructure could be leveraged. This does NOT work for LLMs. More users means using more compute, more advanced tasks (like coding) uses exponential amounts of compute. A single user running a complex task can make 8 Blackwell GPUs run full tilt, and you don't even have any guarantee that the output will be useable.
There are a few narrow areas where LLMs might be successful, like scanning for security vulnerabilities or searching large amounts of documents. The massive amount of money invested will never be recouped with these usage scenarios.
Although, most people aren't talking about Alphafold when they're talking about AI. They're usually specifically referring to the generative transformer models that are currently all the rage.
I doubt anyone would care too much about a linear regression model, or multi-layer peceptron , for example.
Tell me you listen to media news cycle without understanding what that actually mean without telling me that.
That's not exactly what happened, isn't it.
Multiple new vectors of attacks, automation of attack pipelines...
To clarify, my argument is that you don't know what you're talking about.
Erodos unit distance conjecture is a proposed solution to a Erodos unit distance problem. What the LLM model did was disproving Erodos unit distance conjecture, not solving it (you don't solve a conjecture), nor solving the problem (that remains unsolved).
Again, you seem poisoned by following news media cycle without understanding what they talk about.
Like literally just put that into Google, it's not some study that proves it, it's the multiple ones, and every cybersecurity expert talking about it. But if you want a one source you want to argue about, then https://blog.checkpoint.com/research/global-cyber-attacks-rise-in-january-2026-amid-increasing-ransomware-activity-and-expanding-genai-risks/