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A new language model named S1 has been developed by researchers at Stanford and the University of Washington, showcasing advanced reasoning capabilities while being trained on less than $50 in cloud compute credits. This model is positioned as a competitor to OpenAI's offerings, particularly its reasoning model, o1. S1 demonstrates its reasoning by breaking down complex questions into manageable parts, similar to how a human would approach problem-solving.
The training of S1 involved leveraging an existing Google model, Gemini 2.0, which provided a framework for reasoning through a limited dataset of curated questions. Researchers found that instructing S1 to 'wait' during its reasoning process improved its accuracy, indicating that there are still many opportunities for enhancing AI capabilities. The emergence of such low-cost models raises questions about the future of established AI companies like OpenAI and Google, as the landscape becomes increasingly competitive.
• S1 model trained for under $50 challenges existing AI models.
• Research shows adding 'wait' improves reasoning accuracy in AI.
A reasoning model processes prompts by analyzing related questions to verify answers.
Inference refers to the processing of user queries submitted to an AI model.
Open source AI models can be developed with minimal resources, democratizing access to AI technology.
OpenAI is a leading AI research organization known for developing advanced language models like ChatGPT.
Google is a major player in AI, developing models like Gemini that influence the capabilities of new AI systems.
Reuters on MSN.com 11month
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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