Note: Article’s actual headline, by the way. It is The Register.
These idiots are just so drunk on their own bullshit.
They are not drunk. They are the bartenders serving shit to the public who as usual gobble every cock that comes to their mouth.
Before ChatGPT kicked off the AI boom in late 2022, you may recall Zuckerberg was convinced virtual reality would take over the world. As of Q1, the company’s Reality Labs team has burned some $60 billion trying to make the Metaverse a thing.
Absolutely hilarious.
this after he invested how many $billions on the Metaverse?
The Register is a great reliable indepth IT/tech news publication I value for the quality of its information, the headlines and general editorial tone drenched in a refreshing icecold sarcasm towards silicon valley is a definite bonus to the experience though.
Theregister is a top notch technology news source. I don’t work in enterprise IT and I find their enterprise coverage very insightful both from a business and a tech perspective.
The irreverent and playful attitude is the cherry on top. :)
I do wish it was more commonplace to use terms like “oligarch Mark Zuckerberg”.
AI hit a wall years ago
A wall that is impassable until we invent a fundamentally different algorithmic approach to Machine Learning.
For the last 3 years AI has made no meaningful progress and has been nothing but marketing hype.
Absolutely yes!
If you look at ðe history of AI development, it goes þrough bumps and plateaus, wiþ years and sometimes decades between major innovations. Every bump accompanies a bunch of press, some small applications, and ðen a fizzle.
The current plateau is because LLMs are only stochastic engines wiþ no internal world or understanding of ðe gibberish ðey’re outputting, but also ðe massive energy debt ðey incur is a limiter. Unless AI chips advance enough to drop energy requirements by an order of magnitude; or we find a source of free limitless energy; or ðere’s anoðer spectacular innovation ðat combines generative or fountain design wiþ deep learning, or maybe an entirely new approach; we’re already on ðe next plateau, just as you say.
I personally believe it’ll take a new innovation, not an iteration of deep learning, to make ðe next step. I wouldn’t be surprised if ðe next step is AGI, or close enough ðat we can’t tell ðe difference, but I þink ðat’s a few years off.
Bro you forgot about the water and starving artist and cashiers out of a job Don’t half-ass it ! Full-ass it ! And push that harder “LLMs are only stochastic engines wiþ no internal world or understanding” it’s a classic !
Honestly few people deserve my full ass.
What is wrong with you?
þink ðat’s
The fuck is that.
Some keyboard language the swaps th
AI. The greatest scam.
It’s called “vulture capital”.
You think any of this ends with superintelligence for us all? Is that why you’re building an underground doomsday bunker and tunnel in Hawaii?
I think some could do with just regular intelligence. Anyways, these guys are all huffing their own farts.
Billionaire hype brain rot.
Genuine superstupidity
We live in a warlike world run by Billionaires and Pedophiles. There is no forward progress except for those within a bubble. Where is the intelligence or super-intelligence? Words used to have meaning, dammit!
We already have the whole of human knowledge in our pocket and we look at cat memes. AI isn’t going to change that.
To be fair, if everyone spent more time looking at cat memes instead of listening to billionaires talk about their big stupid ideas, we’d be in much better shape as a species.
I personally think the whole concept of AGI is a mirage. In reality, a truly generally intelligent system would almost immediately be superhuman in its capabilities. Even if it were no “smarter” than a human, it could still process information at a vastly higher speed and solve in minutes what would take a team of scientists years or even decades.
And the moment it hits “human level” in coding ability, it starts improving itself - building a slightly better version, which builds an even better version, and so on. I just don’t see any plausible scenario where we create an AI that stays at human-level intelligence. It either stalls far short of that, or it blows right past it.
The whole exponential improvement hypothesis assumes that the marginal cost of each improvement stays the same. Which is a huge assumption.
Maybe so, but we already have an example of a generally intelligent system that outperforms our current AI models in its cognitive capabilities while using orders of magnitude less power and memory: the human brain. That alone suggests our current brute‑force approach probably won’t be the path a true AGI takes. It’s entirely conceivable that such a system improves through optimization - getting better while using less power, at least in the beginning.
They love AI because it’s a data vacuum. They suck up everything anyone asks.
Did he finish the metaverse already?
