AI Distillation AI News & Updates
Stanford Researchers Create Open-Source Reasoning Model Comparable to OpenAI's o1 for Under $50
Researchers from Stanford and University of Washington have created an open-source AI reasoning model called s1 that rivals commercial models like OpenAI's o1 and DeepSeek's R1 in math and coding abilities. The model was developed for less than $50 in cloud computing costs by distilling capabilities from Google's Gemini 2.0 Flash Thinking Experimental model, raising questions about the sustainability of AI companies' business models.
Skynet Chance (+0.1%): The dramatic cost reduction and democratization of advanced AI reasoning capabilities significantly increases the probability of uncontrolled proliferation of powerful AI models. By demonstrating that frontier capabilities can be replicated cheaply without corporate safeguards, this breakthrough could enable wider access to increasingly capable systems with minimal oversight.
Skynet Date (-5 days): The demonstration that advanced reasoning models can be replicated with minimal resources accelerates the timeline for widespread access to increasingly capable AI systems. This cost efficiency breakthrough potentially removes economic barriers that would otherwise slow development and deployment of advanced AI capabilities by smaller actors.
AGI Progress (+0.15%): The ability to create highly capable reasoning models with minimal resources represents significant progress toward AGI by demonstrating that frontier capabilities can be replicated and improved upon through relatively simple techniques. This breakthrough suggests that reasoning capabilities - a core AGI component - are more accessible than previously thought.
AGI Date (-5 days): The dramatic reduction in cost and complexity for developing advanced reasoning models suggests AGI could arrive sooner than expected as smaller teams can now rapidly iterate on and improve powerful AI capabilities. By removing economic barriers to cutting-edge AI development, this accelerates the overall pace of innovation.