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I see it already mentioned in the page ;) Jevons Paradox and DeepSeek AI The Jevons Paradox, an economic principle stating that increases in efficiency often
by StefanBatory 2y ago
I see it already mentioned in the page ;)
Jevons Paradox and DeepSeek AI
The Jevons Paradox, an economic principle stating that increases in efficiency often lead to higher overall consumption, has been observed in the context of DeepSeek AI. DeepSeek, a Chinese AI startup, recently introduced its R1 model, which achieves comparable performance to leading AI systems like OpenAI's ChatGPT while requiring significantly less computational power and energy. This efficiency has made the technology more accessible and affordable, spurring wider adoption across industries.[30] As Microsoft CEO Satya Nadella noted, the increased accessibility and efficiency of AI tools like DeepSeek's R1 model could lead to a surge in applications and use cases. This expanded usage may result in higher energy consumption overall, despite individual efficiencies. For example, while DeepSeek's model uses fewer resources per task, the growing demand for AI-driven solutions—ranging from chatbots to complex reasoning models—could increase the total energy requirements of the global AI infrastructure.[31]
- HeatrayEnjoyer 2y agoDeepseek is 651B, GPT models are suspected to be <200B. Where are they getting the idea that Deepseek is more efficient?
- enragedcacti 2y agoIts an MoE model so only 37B parameters are activated per token.
- aurareturn 2y agoMoE models aren’t new. Rumors are that GPT4 was one.
- swyx 2y agoyea specifically 8x220B https://www.latent.space/p/geohot https://www.latent.space/p/geohot
- enragedcacti 2y agoYes, with substantially more active params for SOTA.