Abstract:
Nvidia CEO Jensen Huang once again touted the arrival of general artificial intelligence (AGI). He said after OpenAI released the latest AI model: "AGI has arrived."
Huang Renxun: From ChatGPT to Astra in 4 years, AGI has arrived
Huang Renxun posted a post on social platforms to congratulate OpenAI on Sunday. Previously, the company released its latest AI model, which was trained using Nvidia chips.
“From ChatGPT to o1 to Astra in 4 years,” Huang wrote, “AGI has arrived. Congratulations to the @OpenAI team.”
OpenAI released the Astra model last week, calling it the world's "smartest, most aligned model" capable of "complete the most demanding professional jobs with unparalleled speed, accuracy and judgment." Company president Greg Brockman told reporters on a conference call after the model was released that welcome to the "AGI era."
The definition of AGI is still vague
AGI is a "vague concept" but has become a key goal for companies such as OpenAI. Google defines it as "a hypothetical machine intelligence with the ability to understand or learn any intellectual task that a human can perform." OpenAI stated that AGI refers to "highly autonomous systems that surpass humans in most economically valuable tasks."
In March this year, Jen-Hsun Huang told the Lex Friedman Podcast "I think we have achieved AGI," but he seemed to partially retract this statement later in the interview, according to The Verge.
There are obvious differences in timetables in the industry
AI pioneer Andrew Ng said earlier this year that the industry is still decades away from AGI. He defines AGI as artificial intelligence capable of performing any human intellectual task, such as learning to drive a truck or write a doctoral thesis.
Tesla CEO Musk gave another prediction in March, believing that AGI may be led by Tesla's Optimus robot.
PYMNTS commented in a report on March 11 that machines that can "perceive, reason and act in the physical world may lead to AGI more directly than software running in data centers." "If this argument is correct, the current construction of physical AI is not just a manufacturing story, but an early infrastructure for something bigger."
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