World
Nvidia’s Jensen Huang claims AGI is already achieved, adds caveats

AGI — a loosely defined concept generally referring to AI systems that can match or exceed human intelligence — has been widely debated across the technology industry.
While some executives have reportedly begun avoiding the term in favour of alternative labels, it remains central to discussions around the future of AI and is even embedded in key commercial agreements between major firms such as OpenAI and Microsoft.
During the conversation, host Lex Fridman described AGI as a system capable of effectively performing complex real-world tasks, such as building and running a billion-dollar company. When asked how far away such a milestone might be, Huang replied, “I think it’s now. I think we’ve achieved AGI.”
Fridman noted that the statement would likely generate strong reactions, prompting Huang to point to the rapid rise of AI agents, including platforms such as OpenClaw.
He said users are already deploying individual AI agents for a wide range of tasks and suggested that unexpected consumer applications, such as digital influencers or novel social tools, could emerge and scale quickly.
However, Huang later tempered his remarks, acknowledging the limitations of current systems. While some AI-driven tools gain early traction, he noted that many lose momentum over time, adding that the likelihood of such agents independently building a company on the scale of Nvidia remains extremely low.

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