Google DeepMind CEO Demis Hassabis has acknowledged
Deepseek’s AI model as a notable development from China but said it does not
introduce any new scientific breakthroughs.
Speaking at a Google-hosted event in Paris yesterday (Sunday),
ahead of the AI Action Summit, Hassabis described the model as “an impressive
piece of work” and said it demonstrates “extremely good engineering.” However,
he emphasized that the underlying techniques used in the model are already
well-known, CNBC reported.
“I think it’s probably the best work I’ve seen come out of
China,” Hassabis said. He also noted that Deepseek’s AI model has geopolitical
significance, as it showcases China’s ability to develop advanced AI systems.
However, he cautioned against overestimating its impact. “Despite the hype,
there’s no actual new scientific advance … it’s using known techniques,” he
added.
Demis Hassabis, Google’s DeepMind CEO, Source: LinkedIn
Last month, Deepseek released a research paper claiming that
it had trained its AI model at a fraction of the cost incurred by leading AI
firms and used less-advanced Nvidia chips. The announcement had a significant
market impact, triggering a stock sell-off and sparking discussions about the
cost efficiency of AI development.
Hassabis’ comments add to the debate over whether AI firms
are spending excessive amounts on infrastructure. While acknowledging
Deepseek’s engineering capabilities, he pointed out that DeepMind’s recently
launched Gemini 2.0 Flash models are more efficient.
Meanwhile, some experts have questioned Deepseek’s claims
about low-cost development, suggesting that the actual expenses may be higher
than reported.
The AGI Timeline Debate
Hassabis also addressed the broader topic of artificial
general intelligence (AGI), which refers to AI systems with human-like
cognitive abilities. He suggested that AGI could be achieved within the next
five years.
“I think we’re close now, you know, maybe we are only, you
know, perhaps 5 years or something away from a system like that,” he said. He
added that society needs to prepare for the potential consequences of AGI,
ensuring that its benefits are widely distributed while also addressing risks.
Deepseek’s AI model is ‘the best work’ out of China but the hype is ‘exaggerated,’ Google Deepmind CEO says https://t.co/GJLhpT5eQv
— CNBC (@CNBC) February 9, 2025
His remarks align with those of OpenAI CEO Sam Altman, who
has said that he is “confident we know how to build AGI as we have
traditionally understood it.” However, concerns remain within the AI community.
Researchers such as Max Tegmark and Yoshua Bengio have warned that AGI could
lead to a loss of human control over AI systems, raising ethical and safety
concerns.
As discussions on AGI continue, the debate over AI
innovation, cost efficiency, and global competition remains at the center of
industry developments.
Italy’s Data Protection Authority Blocks DeepSeek’s
Chatbot
Italy’s data protection authority, the Garante, has
ordered DeepSeek to block its chatbot due to privacy concerns. The
regulator raised questions about DeepSeek’s data collection practices,
including the sources, purposes, and legal basis for gathering personal data,
as reported by Finance Magnates.
Giorgia Meloni, the Prime Minister of Italy, said, “Italy was the first country to ban DeepSeek. I hoped that other Western countries, especially the United States, would follow suit. But I didn’t expect that I’d end up being ‘left alone’. ” Right after she said this, Meloni… pic.twitter.com/hjeqsRqxdK
— 雁过留声 (@szygls) February 3, 2025
The Garante stressed the importance of protecting Italian
users’ data. Despite DeepSeek claiming its AI models rival those from the
United States, the order was issued, coinciding with investigations by data
regulators in Ireland and France.
Prediction on XRP and Bitcoin Prices for 2025
DeepSeek AI has made projections for XRP and Bitcoin in
2025, using machine learning, sentiment analysis, and economic data. For XRP, DeepSeek
predicts a price range between $3.50 and $5.00 by the end of 2025, based on
factors such as Ripple’s legal situation, adoption of its On-Demand Liquidity
platform, and overall market conditions.
The model assigns a 70% probability of a positive resolution
in Ripple’s legal case, which could boost investor confidence and institutional
adoption. For Bitcoin, DeepSeek’s predictions include a base case range of
$100,000 to $150,000, with potential for higher prices in a bullish scenario or
a “black swan” event.
DeepSeek AI Predicts XRP’s Price by End of 2025: A Game-Changer for Crypto Investors? https://t.co/IqSwacNxGX
— SaLiCryp (@SaLiCryp) January 28, 2025
The App Rises to Top of US App Store Charts
DeepSeek has quickly risen to the top of the US App Store
charts, surpassing
ChatGPT as the most downloaded app. The app’s success is attributed to its
ability to match leading AI models while reportedly being developed for under
$6 million, far less than the billions spent by competitors.
Its open-source
foundation, DeepSeek-V3, has sparked discussions on cost efficiency in AI
development. DeepSeek’s rise has led to declines in stocks of major US tech
firms, while some analysts caution that Chinese companies, like DeepSeek, could
face challenges due to limited access to advanced US chips. The app’s efficient
use of Nvidia A100 chips, stockpiled before US export restrictions, has been
credited with reducing costs without sacrificing performance.
Google DeepMind CEO Demis Hassabis has acknowledged
Deepseek’s AI model as a notable development from China but said it does not
introduce any new scientific breakthroughs.
Speaking at a Google-hosted event in Paris yesterday (Sunday),
ahead of the AI Action Summit, Hassabis described the model as “an impressive
piece of work” and said it demonstrates “extremely good engineering.” However,
he emphasized that the underlying techniques used in the model are already
well-known, CNBC reported.
“I think it’s probably the best work I’ve seen come out of
China,” Hassabis said. He also noted that Deepseek’s AI model has geopolitical
significance, as it showcases China’s ability to develop advanced AI systems.
However, he cautioned against overestimating its impact. “Despite the hype,
there’s no actual new scientific advance … it’s using known techniques,” he
added.
Demis Hassabis, Google’s DeepMind CEO, Source: LinkedIn
Last month, Deepseek released a research paper claiming that
it had trained its AI model at a fraction of the cost incurred by leading AI
firms and used less-advanced Nvidia chips. The announcement had a significant
market impact, triggering a stock sell-off and sparking discussions about the
cost efficiency of AI development.
Hassabis’ comments add to the debate over whether AI firms
are spending excessive amounts on infrastructure. While acknowledging
Deepseek’s engineering capabilities, he pointed out that DeepMind’s recently
launched Gemini 2.0 Flash models are more efficient.
Meanwhile, some experts have questioned Deepseek’s claims
about low-cost development, suggesting that the actual expenses may be higher
than reported.
The AGI Timeline Debate
Hassabis also addressed the broader topic of artificial
general intelligence (AGI), which refers to AI systems with human-like
cognitive abilities. He suggested that AGI could be achieved within the next
five years.
“I think we’re close now, you know, maybe we are only, you
know, perhaps 5 years or something away from a system like that,” he said. He
added that society needs to prepare for the potential consequences of AGI,
ensuring that its benefits are widely distributed while also addressing risks.
Deepseek’s AI model is ‘the best work’ out of China but the hype is ‘exaggerated,’ Google Deepmind CEO says https://t.co/GJLhpT5eQv
— CNBC (@CNBC) February 9, 2025
His remarks align with those of OpenAI CEO Sam Altman, who
has said that he is “confident we know how to build AGI as we have
traditionally understood it.” However, concerns remain within the AI community.
Researchers such as Max Tegmark and Yoshua Bengio have warned that AGI could
lead to a loss of human control over AI systems, raising ethical and safety
concerns.
As discussions on AGI continue, the debate over AI
innovation, cost efficiency, and global competition remains at the center of
industry developments.
Italy’s Data Protection Authority Blocks DeepSeek’s
Chatbot
Italy’s data protection authority, the Garante, has
ordered DeepSeek to block its chatbot due to privacy concerns. The
regulator raised questions about DeepSeek’s data collection practices,
including the sources, purposes, and legal basis for gathering personal data,
as reported by Finance Magnates.
Giorgia Meloni, the Prime Minister of Italy, said, “Italy was the first country to ban DeepSeek. I hoped that other Western countries, especially the United States, would follow suit. But I didn’t expect that I’d end up being ‘left alone’. ” Right after she said this, Meloni… pic.twitter.com/hjeqsRqxdK
— 雁过留声 (@szygls) February 3, 2025
The Garante stressed the importance of protecting Italian
users’ data. Despite DeepSeek claiming its AI models rival those from the
United States, the order was issued, coinciding with investigations by data
regulators in Ireland and France.
Prediction on XRP and Bitcoin Prices for 2025
DeepSeek AI has made projections for XRP and Bitcoin in
2025, using machine learning, sentiment analysis, and economic data. For XRP, DeepSeek
predicts a price range between $3.50 and $5.00 by the end of 2025, based on
factors such as Ripple’s legal situation, adoption of its On-Demand Liquidity
platform, and overall market conditions.
The model assigns a 70% probability of a positive resolution
in Ripple’s legal case, which could boost investor confidence and institutional
adoption. For Bitcoin, DeepSeek’s predictions include a base case range of
$100,000 to $150,000, with potential for higher prices in a bullish scenario or
a “black swan” event.
DeepSeek AI Predicts XRP’s Price by End of 2025: A Game-Changer for Crypto Investors? https://t.co/IqSwacNxGX
— SaLiCryp (@SaLiCryp) January 28, 2025
The App Rises to Top of US App Store Charts
DeepSeek has quickly risen to the top of the US App Store
charts, surpassing
ChatGPT as the most downloaded app. The app’s success is attributed to its
ability to match leading AI models while reportedly being developed for under
$6 million, far less than the billions spent by competitors.
Its open-source
foundation, DeepSeek-V3, has sparked discussions on cost efficiency in AI
development. DeepSeek’s rise has led to declines in stocks of major US tech
firms, while some analysts caution that Chinese companies, like DeepSeek, could
face challenges due to limited access to advanced US chips. The app’s efficient
use of Nvidia A100 chips, stockpiled before US export restrictions, has been
credited with reducing costs without sacrificing performance.
