I think weve achieved AGI er Jensen I don't think we have
Date:
Tue, 24 Mar 2026 21:00:00 +0000
Description:
Nvidia CEO Jensen Huang just said I think weve achieved AGI while on a podcast.
FULL STORY ======================================================================Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Tech Radar Get daily insight, inspiration and deals in your inbox Sign up for breaking news, reviews, opinion, top tech deals, and more. Contact me with news and offers from other Future brands Receive email from
us on behalf of our trusted partners or sponsors By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over. You are now subscribed Your newsletter sign-up was
successful An account already exists for this email address, please log in. Subscribe to our newsletter Nvidia CEO Jensen Huang just said, I think weve achieved AGI, while on a podcast.
Of course, this has generated a lot of buzz as, if hes correct, it would be a major leap forward in AI capabilities. Spoiler, we havent made AGI. Article continues below You may like Nvidia CEO Jensen Huang says we dont need to
fear AI How Arthur C Clarke predicted the rise of AGI and the looming demise of humanity 'Don't be a doomer' - Nvidia CEO Jensen Huang says no one currently has 'any reasonable ability to create god AI', so we should all
just relax While appearing on the Lex Fridman podcast , Fridman defined AGI
to Jensen Huang as a tool to "essentially do your job specifically, Huang's role of launching a successful company that grows to a value of over a
billion dollars. Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 - YouTube Watch On In response to Fridman's question of how many years that kind of capability is away from launch, Huang said, I think its now. I think weve achieved AGI.
He then went on to explain that an AI might not achieve Nvidia's lasting success, but it could maybe make a viral paid app that costs 50 cents and
sell it to a lot of people before going out of business.
He explained it could be some social application that, you know, feeds your little Tamagotchi or something like that, and it becomes an out-of-the-blue instant success. A lot of people use it for a couple of months, and it kind
of dies away. Meanwhile, the odds of AI producing an Nvidia, even 100,000 agents doing so, are zero. Get daily insight, inspiration and deals in your inbox Sign up for breaking news, reviews, opinion, top tech deals, and more. Contact me with news and offers from other Future brands Receive email from
us on behalf of our trusted partners or sponsors By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over.
The thing is, this isn't AGI even an AI that mimics Nvidia's success
wouldn't be AGI. It would be impressive, sure, but artificial general intelligence is something much more special. (Image credit: Future) No, we havent achieved AGI Artificial General Intelligence is the holy grail of AI development. It would be a digital form of human intelligence that is,
rather than an AI needing to be trained on each specific task being asked of it (like existing, so-called narrow AI are right now), the bot would be able to apply its existing information to new situations just like a human can.
AGI would combine self-learning, common sense, contextual understanding, and the ability to think abstractly at high speed into one system. What to read next 'I dont like it when doomers are out scaring people': Nvidia on why AI rhetoric damages America's chances to lead in the AI race "The entire stack
is being changed" - Nvidia CEO Jensen Huang looks ahead to the next
generation of AI The AI conversation is a mess and thats stopping us from making good decisions
It would be a monumental leap forward for what AI is capable of, but as you might expect, it isnt something researchers have been able to crack quickly with some debating that we might never achieve it.
Even if we do construct AGI, most researchers believe that we arent anywhere close to that eventuality. The majority of the 475 AI researchers surveyed by the Association for the Advancement of Artificial Intelligence (76%) said
that scaling up our current AI efforts is unlikely or very unlikely to result in AGI.
AGI isnt just an upgraded LLM; its a whole different AI architecture, and it requires its own research and development imagine trying to build an incredible airplane by making better and better cars, thats sort of whats happening with AGI and LLMs.
At the same time, AGI isnt a well-defined thing partly because its hard to define something which doesnt exist yet. Theres a difference between AGI and an AI that can simply do lots of different things, but where the line is
drawn is difficult to determine. AGI isn't DLSS 5 slop either (Image credit: Nvidia) What further muddies the water is the financial incentive companies have to deliver AGI, or to at least promise its almost here.
For example, OpenAIs deal with Microsoft gives it some incredible benefits if AGI is achieved.
AGI, and making it feel close, is also how you appeal to investors. The economic potential of AGI is huge for how it could truly revolutionize every industry, and the promise/hope its just around the corner is what could convince investors to hold onto their stake in the AI company of their choice for longer or risk feeling the ultimate financial FOMO rather than selling out.
This is true too for Nvidia, which, as the pan and pick seller in this AI
gold rush, wants to keep hype up. If it falls, demand for chips would drop too, and that would seriously affect Nvidias bottom line.
At the same time, many have noted that AGI isnt the be-all and end-all. Just because an AI isnt a jack-of-all-trades doesnt mean it cant be a master of one, and just like humans, having someone/something that hyperspecializes in
a key area is more useful in a way than something thats okay at lots of
tasks. AGI is still some time away, if it ever happens (Image credit: Future/Flux) I dont care if my surgeon is a decent horticulturist, could
teach me to be a confident skier, and moonlights as a vintage car restorer I simply want them to be a leading expert in human biology as they cut me open.
As AI stretches into medicine, law, manufacturing, and everything, a series
of individual experts is more than fine, its arguably ideal even if it isnt as flashy as AGI.
So no, AGI isnt here yet, but AI disruption is, and it will only creep
further into our lives. Todays as bad as AI will ever be. It will only get better, and its only a matter of time before AI morphs from being an
assistive tool to seriously eating up whole jobs with or without AGI. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds. Make sure to click the Follow button!
And of course you can also follow TechRadar on TikTok for news, reviews, unboxings in video form, and get regular updates from us on WhatsApp too.
======================================================================
Link to news story:
https://www.techradar.com/ai-platforms-assistants/i-think-weve-achieved-agi-er -jensen-i-dont-think-we-have
--- Mystic BBS v1.12 A49 (Linux/64)
* Origin: tqwNet Technology News (1337:1/100)