Technology

Safety vs speed: Artificial general intelligence divide at Davos

January 23, 2026

The China factorThe discussion took place against the backdrop of intense scrutiny over Nvidia’s plans for semiconductor exports to China. If done, Google DeepMind and Anthropic are worried it’ll give more arsenal to Chinese AI companies such as DeepSeek. Amodei did not address DeepSeek’s claim of training its V3 model for $5.5 million, but the contrast with the US spending is stark.

CEOs of DeepMind and Anthropic, Demis Hassabis (left) and Dario Amodei, at a talk during the WEF meeting on January 20. REUTERS

Credit: Hindustantimes

Key Highlights

According to research by Epoch. AI, Google and OpenAI spent between $70 million and $100 million in 2023 to train the Gemini 1.0 Ultra and GPT-4 frontier models respectively—costs that have only increased since.

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Safety vs speed: Artificial general intelligence divide at Davos

This quick summary is automatically generated using AI based on reports from multiple news sources. The content has not been reviewed or verified by humans. For complete details, accuracy, and context, please refer to the original published articles.

Safety vs speed: Artificial general intelligence divide at Davos

Key Highlights

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