Nvidia says investors have a mistaken interpretation of Deepsic’s success

Nvidia CEO Jensen Huang says artificial intelligence investors have mistakenly interpreted the progress and success of the Dip -Sick Startup and have shown an emotional reaction to it.

Nvidia is one of the companies that was heavily influenced by the success of Dipsic AI. Last month, after the release of the Dip Sick’s R1 AI, Nvidia’s market value declined $ 2 billion, one of the biggest declines in the company’s history. Nvidia’s CEO now believes that investors have had an emotional and extreme reaction to Dipsic.

Jensen Hwang admired Dipsic’s success

According to Business Insider, Jensen Huang said in a recent interview that the market’s strong market reaction to Dip -Sick’s artificial intelligence was due to the misconduct of investors. As a result, Dip -Sick’s success and the devaluation of Nvidia’s market value, Jensen Huang also declined by 5 %. Nvidia, of course, re -regained its lost value.

After introducing Deepsic, investors doubted billions of dollars in artificial intelligence infrastructure. Huang says the technology industry still needs more computing for post-training methods; These methods allow artificial intelligence to conclude or predict it after completing its workouts. He says the need for Nvidia chips will also increase with the growth and variety of post-training methods.

Nvidia CEO said:

“From the investor’s point of view, there was a mental model where the world was learning ahead, and the inference was that you were asking artificial intelligence and responding immediately. “I don’t know who is the fault, but obviously this paradigm is wrong.”

According to Huang, it is very important in artificial intelligence, but post-education is the most important part of intelligence and is where you learn to solve problems. Nvidia’s CEO continued to admire Dipsic’s successes, saying that the startup’s innovations give the world of artificial intelligence.

The major excitement around Dipsic was because the startup said it would spend less than $ 5 million in developing their models, while Western competitors usually devote billions of dollars. Many artificial intelligence professionals, including the head of Google’s Dipmind Unit, later described the exaggerated Dip -Sick claim.

Nvidia will release its first new year’s financial report at the end of this week, and we are expected to see changes in Nvidia’s financial forecasts as a result of the sudden success of Deepsic and other open source models.