They remember it too. It's why they try to keep the bubble going by jumping to the next shiny investor lure. Just a few years it was all deep learning, blockchain and NFT. One guess is that they'll go for humanoid robots next.

Chatgpt, what is sunken cost fallacy and why are rich people so profoundly stupid?

This comment is underrated.

Make the internet 'net' again.

Suck it berg produced a platform for spreading hate snd constant relationship drama. Nothing he produces is good or helpful. He jumped on the Trump bandwagon like a little bitch the second he could. He's a real piece of work.

Why such wealth got into his hands is sick. It could be used for some real good if it went to someone with some compassion. At least Gates is trying to save his soul.

I disagree a bit. Any money the ultra-rich invest into research is better spent than on their next Mega-Yacht. Even if AI cannot meet the expectations of AGI etc.

At least they‘ve wasted their money for research of what doesn‘t work instead of just building silly products as for the .com bubble.

Humanity will gain insights to the kind of AI approaches that won‘t work much faster than without all the money. It‘s just an allocation of human efforts

Do so please, dump some more money! No need to make jobs, but destroy them from AI.

Not really. None of what has been going on with transformer models has been anything but hyper scaling. It's not really making fundamental advances in technology it's that they decided what they had at the scale they had makes convincing enough demos that the scam could start.

Believe it or not I can complain about more than one thing at a time.

There are people who both get llm summaries of their emails and get llm to rewrite what they send. It's amazing that anyone can't see how incredibly stupid it is

It has been more than just hyperscaling. First of all, the invention of transformers would likely be significantly delayed without the hype around CNNs in the first AI wave in 2014. OpenAI wouldn‘t have been founded and their early contributions (like Soft Actor-Critic RL) could have taken longer to be explored.

While I agree that the transformer architecture itself hasn‘t advanced far since 2018 apart from scaling, its success has significantly contributed to self-learning policies.

RLHF, Direct Policy Optimization, and in particular DeepSeek‘s GRPO are huge milestones for Reinforcement Learning which arguably is the most promising trajectory for actual intelligence. Those are a direct consequence of the money pumped into AI and the appeal it has to many smart and talented people around the world

Go broke

This is not that. They're all hoping to be the next Google or FaceBook. They know damned well most are going to lose. The gamble is that they won't be the one holding the bag when the bubble pops.

This is as high stakes as tech gets today.

This is no revelation. THEY KNOW. The play is obvious.

Not one these investors wants to risk missing out on being the next Google or FaceBook or Twitter or Amazon. They know damned well the vast majority will fail. They're gambling on not being the one left holding the bag.

AI is here to stay, will continue to improve, and there will be a killer app, probably a dozen. My money is on life sciences, particularly medicine.

Unimaginable amounts of money spent just to provide a free service to help improve the human race by sharing knowledge. Such marvellous gentlemen.

Spend it all and fail

Well, in the Soviet example everything was government.

And governments seem to be so excited by the prospects of this "AI" so it's pretty clear that it's still their desire most of all.

EDIT: On telegraph and Panama you are right (btw, it's bloody weird that where it sounds like canal in my language it's usually channel in English, but in the particular case of Panama it's not), but they might perceive this as a similarly important direction. Remember how in 20s and 30s "colonization of space" was dreamed about with new settlements supporting new power bases, mining for resources and growing on Mars and Venus, FTL travel to Sirius, all that. There are some very cool things in Soviet stagnation - those pictures of the future lived longer than in the West against scientific knowledge. So, back to the subject, - "AI" they want to reach is the thing that will allow to generate knowledge and designs like a production line makes chocolate bars. If that is made, the value of intelligent individuals will be tremendously reduced, or so they think. At least of the individuals on the "autistic" side, but not on the "psychopathic" side, because the latter will run things. It's literally a "quantity vs quality" evolutionary battle inside human kinds of diversity, all the distractions around us and the legal mechanisms being fuzzied and undone also fit here. So - for the record, I think quality is on our side even if I'm distracted right now, and sheer quantity thrown at the task doesn't solve complexity of such magnitude, it's a fundamental problem.

I'm more about separation of addressing data and data model from addressing services and service model for storing and processing it, to make those uniform, because in uniformity lies efficiency and redundancy and ability to switch service models, and uniformity inside proprietary services is already achieved, so in this case uniformity works for the people.

I mean, that's probably what you meant, I'm being this specific to fight my own distractions and fuzziness of thought.

All for it to fail and implode on its own weight.

Imagine what we could have achieved globally if we had spent all that money on a different cause.

We could have managed to establish a colony on Mars, or perhaps we could have even finished developing Star Citizen.