

DeepSeek Fallout, Export Controls & Agentic Evals
Feb 5, 2025
Hosts dive into the significant impact of DeepSeek's latest R1 model on the open-source AI landscape. They discuss export controls and their mixed effects on global innovation, hinting at a shift towards "Agents as a Service." The necessity for robust evaluation frameworks for increasingly complex agentic systems takes center stage, revealing challenges in measuring performance. The launch of customizable evaluation tools is highlighted as a game-changer for developers, promising a safer trajectory for AI agents.
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Open-Source AI Rise
- Open-source AI models are gaining prominence, as expected.
- DeepSeek's R1 model uses standard AI fundamentals with innovative cost-saving techniques.
DeepSeek's Innovation
- DeepSeek innovated by combining existing AI techniques like distillation and reinforcement learning.
- This allows training large models at significantly lower costs.
Shifting Cost Curve
- DeepSeek's work demonstrates the decreasing cost of training advanced AI models.
- This efficiency gain makes AI more accessible for various applications.