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Four Ways DeepSeek Could Change Everything

The release of DeepSeek’s highly effective and cost-efficient large language model has made waves in the AI industry, promising far-reaching implications for technology, trade, and U.S.-China economic relations. While the immediate market impact may have been brief, the long-term effects could be profound. Here are four predictions on how DeepSeek might shape the future:

  1. Artificial Intelligence Costs Will Continue to Plummet
    Innovations typically aim to achieve more with less, and AI is no different. Before DeepSeek’s release, the costs of leading AI models had already fallen by about 80% annually over the past two years. DeepSeek has accelerated this trend by making AI models 30 times cheaper compared to market leader OpenAI, through algorithmic advancements and aggressive pricing strategies. This deflationary trend is expected to persist as more research and competition in the AI field drive costs lower.

  2. The AI Economic Pie Will Get Bigger and Be Sliced Differently
    As AI becomes more affordable and accessible, demand is expected to grow, following the concept of Jevons paradox, which suggests that more efficient technology leads to greater consumption of resources. As foundational models become commoditized, the focus will shift to applications, pushing more resources toward the deployment of AI in specific tasks, or “inference,” rather than training models. This shift could spark increased demand for custom-designed chips like XPUs, optimized for specific AI applications, as opposed to traditional GPUs. Nvidia has already observed that demand for inference chips is growing faster than for training chips, signaling a broader industry shift.

  3. U.S. Chip Export Controls Will Deserve Careful Reassessment
    DeepSeek’s success came from utilizing less advanced and fewer chips than its U.S. counterparts, illustrating how innovation can thrive even under constraints. Despite ongoing U.S. export controls that may limit DeepSeek and other Chinese companies in the short term, these restrictions are unlikely to halt their progress. The U.S. risks isolating its chip technologies from China’s market, potentially on a permanent basis. Additionally, the export controls may undermine U.S. efforts to address trade imbalances with China, as the country may opt to focus on developing its own capabilities rather than relying on U.S. imports.

  4. U.S. and Chinese Tech Leaders’ Interests May Align
    While initially concerning to U.S. investors, DeepSeek’s breakthrough and its open-source model have been embraced by many major U.S. tech companies. Cloud platforms like Microsoft, AWS, and Hugging Face are already incorporating models based on DeepSeek’s R-1, noting that cheaper large language models should increase demand for their cloud services, boosting their revenue streams. In the long run, businesses across both countries could benefit from the productivity gains and cost savings that AI applications offer. This could foster potential collaboration between U.S. and Chinese tech leaders, despite existing tensions. The evolution of AI presents a tremendous opportunity for both superpowers to collaborate, especially as they pursue artificial general intelligence, though ongoing geopolitical conflicts could limit this cooperation.

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Ex-Google Engineers Who Founded Character.AI Rejoin Company with New AI Partnership

Noam Shazeer and Daniel De Freitas, who co-founded the AI startup Character.AI, are rejoining Google as part of a new collaboration with Google’s AI unit DeepMind. Character.AI, a prominent player in the AI field, uses large language models to enable users to create and interact with chatbots. Despite reaching a $1 billion valuation in its early days, the startup did not generate revenue initially but has considered offering subscription services in the future.

Shazeer and De Freitas left Google in 2021 after their attempts to advance Google’s chatbot technology were reportedly rejected. They founded Character.AI the same year. The startup has now agreed to provide Google with a nonexclusive license for its large language model technology. This partnership will allow Character.AI to secure additional funding and focus on developing personalized AI products.

The move highlights Google’s effort to strengthen its position in the competitive AI landscape, particularly as it faces increased scrutiny over its AI initiatives. The partnership is also part of a broader trend of major tech companies forming alliances and acquiring talent to enhance their AI capabilities amidst regulatory challenges. For example, Microsoft recently hired Mustafa Suleyman, co-founder of AI startup DeepMind, and U.K. regulators have scrutinized Microsoft’s acquisition of DeepMind staff.