Jensen Huang and his company NVIDIA are at the forefront of the current AI revolution. At a recent conference, he spoke about how AI technology is likely to develop in the next few years and when he expects the first Artificial General Intelligence (AGI) that can keep up with humans.
• NVIDIA CEO sees rapid progress in AI
• Huang expects to soon have off-the-shelf AI tools that can be customized
• Will AI be competitive with humans in five years?
NVIDIA is one of the biggest beneficiaries of the current boom in artificial intelligence (AI). CEO Jensen Huang’s company develops powerful graphics processors that are used, among other things, to operate and train AI models. Demand for the chips is correspondingly high: In the third quarter, NVIDIA made three times more sales and twelve times more profit than in the same period last year.
At the New York Times’ “DealBook Summit” conference at the end of November, NVIDIA co-founder and CEO Jensen Huang recalled how he delivered the first AI supercomputer to OpenAI just a few years ago and also gave an outlook on how how he thinks artificial intelligence will develop over the next five to ten years.
AI sector with extremely fast development
As Huang told Andrew Ross Sorkin of the New York Times at the event, NVIDIA developed the “world’s first AI supercomputer” between 2012 and 2017 – and actually only for its own engineers. However, after speaking about it at a conference, Tesla became the boss Elon Musk approached him, told him about the company OpenAI, which Musk co-founded, and said that he wanted to have a supercomputer like that. “I delivered the world’s first AI supercomputer to OpenAI that day,” the NVIDIA CEO continued.
Only a few years have passed since then, but the field of AI has developed enormously in the meantime – also thanks to OpenAI and its chatbot ChatGPT. “There’s no question that the pace of progress is fast,” Huang said at the DealBook Summit. NVIDIA now uses AI within the company in many areas, for example to design graphics chips. “Otherwise we wouldn’t be able to fit so many transistors on one chip or optimize the algorithms to the level we have,” says Huang. In his opinion, AI will likely be used in most companies in the near future. According to the NVIDIA CEO, there will soon be off-the-shelf AI tools that will be “really, really good at solving a lot of problems.” Companies would then further adapt these to their needs and thereby make them “super good” in the relevant field of activity.
Artificial General Intelligence is not far away
But despite all the progress, there are still some things that artificial intelligence cannot currently do, for example argue. “AI cannot do this multi-stage reasoning that humans are very good at,” says Huang. But even if AI is currently lagging behind complex human intelligence in some areas, according to Huang, it shouldn’t be long before it can catch up here too – after all, “everyone is working on it.”
When New York Times reporter Sorkin asked whether we would have Artificial General Intelligence (AGI) in ten years, the NVIDIA co-founder said that the answer would be “yes” – but depending on how you do it Define AGI. In general, Artificial General Intelligence (AGI) – also known as “artificial general intelligence” in German – is understood to mean an AI that is able to learn, understand and solve tasks like humans, i.e. that masters the entire spectrum of human cognitive abilities. At the conference, Huang defined an AGI as software that can take a range of tests that measure basic intelligence and whose results on these tests are “fairly competitive” with those of a normal human. According to the NVIDIA boss, AIs that pass such tests will “obviously” be available in the next five years.
Huang has a somewhat different opinion than researchers at Alphabet subsidiary Google Deepmind, who recently published a research paper on the state of development of AI and concluded that AGI is not yet in sight and is rather hypothetical. The future will have to show which of the experts is right and how many years will pass before the first artificial general intelligence actually exists.
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