Last month, DeepSeek released a report that sent shockwaves through the global market after claiming that the cost of training its AI models was only a fraction of that of top players and that it used less advanced Nvidia chips.

DeepSeek's advancements have caused a wave of panic in global stock markets, while also sparking debate about whether major tech companies are spending too much on AI infrastructure.

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Google DeepMind CEO Demis Hassabis commented that DeepSeek's model is not technologically groundbreaking. Photo: Google

On February 9th, at an event in Paris, France, Google DeepMind CEO Demis Hassabis shared his views on Chinese startups.

Accordingly, he praised DeepSeek's model as "an impressive piece of work" and "perhaps the best from China."

These models demonstrate the company's exceptionally strong technical capabilities and "change things on a geopolitical scale."

However, from a technological perspective, he saw this as neither a major change nor a groundbreaking scientific advancement, but simply the use of well-known techniques in AI.

He argued that the excitement surrounding DeepSeek was being "exaggerated." He also pointed out that Google's recently released Gemini 2.0 Flash model was more effective than DeepMind's model.

DeepSeek's claims about costs and chips have been questioned by experts, who believe the actual development costs are higher.

Also at the event, the CEO of Google DeepMind commented that the AI ​​industry is on its way towards general artificial intelligence (AGI), a technology he described as "a system that demonstrates all the cognitive abilities that humans possess."

He predicted we are about five years away from AGI and that society needs to prepare for it, as well as the impacts of technology on the world – both beneficial and harmful.

Many prominent figures in the industry have voiced concerns about the risks associated with AGI. One of the biggest worries is that humanity will lose control over the systems they create. This is also the view of the brilliant AI scientists Max Tegmark and Yoshua Bengio.

(According to CNBC)