That just supports all my speaking out that these are just LLMs that have been in development since before I was a wee student at University. Even studied AI in my Computer Science degree, my Engineering degree ignored it back then.
The breakthrough recently was the ability to understand language (words and more importantly context/meaning). So they put 60 years of AI development plus their language module and came up with LLM (its in the name Large Language Model).
It is not AI at all as people understand AI, it is a language module with a huge “decision tree/neural” network behind it.
Fantastic breakthrough for sure but not AGI or AI as commonly understood. Its enough to start reducing workloads on people for doing trivial mental tasks and assisting in larger tasks. It will reduce the need for workers in large industries and so on. But it is not AI
But of course the leeches have touted this as AI and AGI is almost upon us so they can keep getting funding and people forking out huge sums of money to them. All those fake news items about the current AI is astounding.
Maybe you’ve already heard of journalist Karen Hao and her book ‘Empire of AI’. Also not so positive, The book seems (I haven’t read it myself) mainly about OpenAI and Sam Altman. But with more than 300 interviews done for that book, it seems she knows that she is talking about
And @neo one of the issues: what is the exact definition of things like AGI (around 14:50). That these definitions are vague is also talked about in the beginning of this video:
I know it’s not AI, but that isn’t the hype I’m referring to. It’s ideas such as the following I’m afraid.
The studies aren’t saying this is not really AI, they are debunking claims about utility, efficiency, productivity etc.
Some people using it sincerely believe it’s improved things but that’s sometimes part of the problem associated with this kind of tool - it’s hard to judge. Others disagree, so the research that’s emerging is important.
I don’t claim it isn’t useful - translation and speech interfaces etc seem good ways to improve accessibility. There are plenty of places it can help but the hype from the industry goes way beyond that as they chase investment at a time when the super rich have fortunes and high return investment opportunities are few. All those trillions they’ve amassed each year fuel this madness.
The money being put into this could solve all the major problems we face of it were directed elsewhere.
The AI bust will be bigger than the dot.com bust, its happening in real time as AI capabilities are morphing to become a ‘commodity like’ feature inside existing tech, which is already monetized (ie Servicenow ). Most Solo AI plays imo will go Bust.ai and become AI roadkill or , if partly worthy suffer deeply discounted valuations during M&A triage and get rolled up/acquired by existing companies for pennies on the VC $, to be integrated as a feature within an existing revenue stream by end of 2026.
Karen Hao was on Democracy Now recently - she was brilliant, I’ve annoyed a few people by sending it to them. Would recommend to anyone, very happy to see it being posted here.
I forced myself to sit through a few snippets from a Bloomberg documentary on the Stargate “Megafactory” there a week or so ago, and it was heady viewing. In particular, I was looking for what the idea was - they’ve spent $100,000,000,000 and will be going up to $500,000,000,000, allegedly.
The idea is… vague allusions to competitivity, and the future, and nothing of substance, as far as I can tell. Connect lots of GPUs and then cross our fingers and poof, maybe actual literal magical stuff will happen.
I’m aesthetically fond of the notion of big wild ideas, and crazy large engineering projects are wondrous and awe-inspiring. But in this instance, we’ve got a biosphere and a species with well-defined, urgent, challenging problems, and the thing we put half a trillion dollars into is – the pipedream of some oily tech-bro man-child. What a world
And in 2 years the tech will cost 5 billion to do the same. Yes its going too fast for their own good. This is one case where more thought rather than just throwing money at it would prove valuable. Let the tech catch up to the plans.
A partnership with one or more of these wearables producers would be fantastic. They are going more mainstream and privacy for your medical data is very important.
RFKrj - “My vision is that every American is wearing a wearable within four years” … he’s stepped back from that a bit as the privacy people nailed him for it, but he came back with: “What I was trying to say is that I want this technology to be universally available as one of the ways people can get on top of their health,” he explained. “Of course I don’t want to mandate it. And the idea of everyone’s body being hooked up to a data center somewhere is horrifying. This data should be private, and when it is shared with the device provider it must be subject to health privacy laws.”
Do they have everyone hooked up with mandated recording devices to keep everyone’s private conversations “just in case”
And not everyone carries a phone nor has the phone in a place it can record the conversation. For those who swear that all phones are recording your speech and sending it off to be kept. Alexa excepted since its proven it does keep recordings, in court cases no less.
The other interesting morph going on is Big Player AI tools morphing into full service players by
becoming storage providers, check out your settings in Grok, I have a 1GB free limit now, and they recently added image creation, so X.AI is making a move on trad google gsuite territory…
So Autonomi having an AI image creation capability with local storage and easy upload permanently pay one time is what creates demand for storage , same goes for video/animation shorts…
is change!
