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No Priors: Artificial Intelligence | Technology | Startups
DeepSeek, Deep Research, and 2025 Predictions with Sarah and Elad
Feb 7, 2025
The hosts delve into the launch of DeepSeek, an innovative open-source AI model, exploring its low costs and market dynamics. They discuss the commoditization of AI models and the implications of emerging synthetic data technologies. The conversation shifts to bold predictions for 2025, covering advancements in autonomous vehicles, self-driving technology, and new AI applications. They also highlight the evolving role of AI in content creation and the integration of reasoning models in tech solutions, hinting at exciting breakthroughs on the horizon.
22:32
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Quick takeaways
- DeepSeek's open-source approach and reduced model training costs signify a transformative shift in AI accessibility and competition dynamics.
- The introduction of OpenAI's Deep Research highlights concerns about reliability and implicit biases, impacting knowledge work and technology governance.
Deep dives
The Rise of DeepSeek in AI
DeepSeek represents a significant development in the AI landscape, particularly due to its open-source approach and advanced reasoning capabilities. The cost of its development, estimated at around five and a half million dollars, sparked discussions regarding the overall investment that likely preceded the final product, which might have been in the hundreds of millions. There are insights from the podcast indicating that the excitement surrounding DeepSeek may have overshadowed some of the fundamental challenges it presents, such as the overall costs associated with model training and deployment. This highlights ongoing market dynamics and the relativity of technological advancements between various global players, particularly in the context of U.S.-China technological competition.
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