Deep Impact

Source: Where’s Your Ed At Date: 2025-01-29 URL: https://www.wheresyoured.at/deep-impact/

Summary

Ed argues DeepSeek’s release exposed that the American AI industry’s “we need bigger, more expensive models” narrative was deliberate rather than necessary — DeepSeek’s v3 competes with GPT-4o at 53x lower operating cost while being open source. The conclusion: OpenAI and Anthropic never attempted similar efficiency optimization despite superior resources, talent, and capital. The expensive model narrative protected market position, not technological necessity.

Implications

• AI financial sustainability. If competitive performance is achievable at 53x lower cost, the entire pricing and revenue model of the major AI labs is built on artificial scarcity — DeepSeek removes the technical justification for current pricing levels.
• Generative AI ROI. Enterprises buying OpenAI or Anthropic APIs at premium prices when comparable outputs are available at 53x lower cost will face pressure to switch — or justification to question whether they’ve been overpaying.
• Vendor BS detection. “Bigger models require massive data centers” was never an engineering constraint — it was a moat. DeepSeek proved the moat doesn’t exist, which is why the American AI establishment reacted to DeepSeek with alarm rather than curiosity.