

Talking DeepSeek and the Meaning Crisis with Richard Hanania
9 snips Jan 29, 2025
Richard Hanania, a thought leader on AI and societal dynamics, joins the discussion to explore the innovative approach of DeepSeek, which prioritizes knowledge over traditional patents in the AI race. He dives into the tense competition between U.S. and Chinese tech firms and the economic factors shaping this landscape. The conversation also tackles the interplay of AI and employment, arguing that technology can create new job opportunities instead of merely displacing existing ones. Lastly, they examine how digital culture impacts social behaviors and search for meaning in a rapidly evolving world.
AI Snips
Chapters
Books
Transcript
Episode notes
Open Source Model
- DeepSeek uses the MIT license, making its AI model widely accessible.
- Companies profit from DeepSeek's open-source model by providing expert knowledge and distribution.
Benefits of Open Source
- Open-sourcing AI fosters decentralized experimentation and rapid innovation.
- Open-source models benefit from free work by academics and researchers who improve and adapt them.
DeepSeek's Cost Advantage
- DeepSeek's breakthrough is its cost-effective approach to training AI models, at $5 million vs $100 million - $1 billion.
- This cost efficiency challenges the previous belief that only large, well-funded companies could train large language models.