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Private Equity Funcast
Shock and Nawww : DeepSeek and the Future of LLMs
Jan 30, 2025
Join Alan Williamson, CTO of HiBid, and Kristopher Kubicki, CTO of OpenBrand, as they delve into the recent DeepSeek AI announcement and its seismic impact on the tech and VC sectors. The duo debates whether the hype represents a genuine paradigm shift or just noise. They highlight the rapid evolution of AI, particularly LLMs, in shaping software development and investment strategies. The conversation skips between the challenges of AI adoption and the intriguing dynamics between agile teams and larger enterprises in the ever-changing tech landscape.
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Quick takeaways
- The introduction of DeepSeek AI is prompting industrywide reassessments, potentially signifying a fundamental shift in AI development strategies and investment approaches.
- Effective model performance in AI applications heavily relies on prompt engineering, highlighting the necessity for companies to refine their operational integration of AI technologies.
Deep dives
DeepSeek's Impact on AI Market Dynamics
The emergence of DeepSeek has sparked significant discussion regarding its implications for the artificial intelligence landscape, particularly among venture capitalists. Its low-cost model for training, reportedly around $5.6 million, suggests a departure from traditional, resource-intensive AI development, leading to concerns about over-reliance on expensive infrastructure. Competitors noted discrepancies in the reported costs, and some speculated that DeepSeek might be distilling data from established sources like OpenAI. This situational analysis has prompted investors to reassess their strategies and possibly pivot towards developing supplementary tools rather than solely foundational models.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode