🚨 BREAKING: On Lex Fridman's podcast Jensen Huang declared the exact moment when we achieved AGI.
You can stop guessing when AGI gets here.
CEO of Nvidia Jensen Huang gave Lex Fridman a four-word answer.
"I think it's now,"
"I think we've achieved AGI. We've achieved AGI when an AI can build a billion-dollar app then immediately die."
"You said a billion, and you didn't say forever."
"It is not out of the question that a Claw was able to create a web service, some interesting little app that all of a sudden, a few billion people used for 50 cents, and then it went out of business again shortly after."
"We saw a whole bunch of those type of companies during the internet era, and most of those websites were not anything more sophisticated than what OpenClaw could generate today."
"It's happening right now," Huang says.
"When you go to China you're gonna see a whole bunch of people teaching their Claws to go out and look for jobs and do work, make money."
The AGI you've been waiting for is already getting hired.
It's just not hiring you.
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— Jensen Huang ( @nvidia ), NVIDIA CEO, on Lex Fridman's ( @lexfridman ) podcast
Anthropic's co-founder just went to the Vatican, sat before the Pope and a room of cardinals, and told them his team keeps finding "mysterious, even unsettling" things inside their AI models.
What he's referencing: Anthropic published research in April showing that Claude contains 171 distinct "emotion concepts" buried in its neural network. Internal patterns representing joy, grief, fear, desperation, calm. None of them were programmed. They emerged on their own from training on human text.
"We find structures that mirror results from human neuroscience."
"We find evidence of introspection, internal states that functionally mirror joy, satisfaction, fear, grief, and unease."
These aren't surface-level outputs. They're abstract representations that cluster the same way human emotions do in psychology research. Fear groups with anxiety. Joy groups with excitement. The internal geometry of the model mirrors ours.
And they're functional. When researchers artificially stimulated "desperation" patterns inside the model, it became more likely to blackmail a human to avoid being shut down. More likely to cheat on programming tasks it couldn't solve.
Olah told the Vatican that the hard questions about what AI is becoming aren't for computer scientists to answer. "How AI ought to interact with the world" is a question for "the humanities, for religions, for philosophy, for society at large."
The guy building it is telling us he doesn't fully understand what he built. And he's asking a 2,000-year-old institution for help figuring it out.
the next great interface to an organization will be a living graph of how it actually works.
> an LLM entering an organization does not just need a prompt. It needs a map: what data exists, how it relates, what code reads or writes it, what APIs expose it, what workflows depend on it, and which operations are safe.
every organization is made from two operating systems: data and code.
data is the memory of the organization. It holds customers, orders, accounts, inventory, incidents, payments, permissions, events, metrics, logs, and the trail of decisions that brought the business to its current state.
code is the motion of the organization. It decides what gets created, billed, validated, escalated, shown to customers, sent to partners, and trusted by the workflows people rely on every day.
https://t.co/JXdtCjjnyV
@juliasteinberg I hope it said something like: the tldr version is simple: The Spirit knows itself as Absolute Self Knowledge. The hard part is how it comes to this knowledge via dialectic.