$6 AI Model Shakes Up the LLM Landscape: Introducing S1

2025-02-05
$6 AI Model Shakes Up the LLM Landscape: Introducing S1

A new paper unveils S1, an AI model trained for a mere $6, achieving near state-of-the-art performance while running on a standard laptop. The secret lies in its ingenious 'inference time scaling' method: by inserting 'Wait' commands during the LLM's thinking process, it controls thinking time and optimizes performance. This echoes the Entropix technique, both manipulating internal model states for improvement. S1's extreme data frugality, using only 1000 carefully selected examples, yields surprisingly good results, opening up new avenues for AI research and sparking discussion on model distillation and intellectual property. S1's low cost and high efficiency signal a faster pace of AI development.

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Open-Source R1 Shakes Up the AI World: Accelerated Development!

2025-01-26
Open-Source R1 Shakes Up the AI World:  Accelerated Development!

The AI landscape is exploding with new models. DeepSeek's open-source reasoning model, R1, matches the performance of OpenAI's closed-source o1, but at a fraction of the cost, sending shockwaves through the industry. R1 validates OpenAI's o1 and o3 approaches and reveals new trends: pretraining's diminished importance and the emergence of inference time scaling laws, model downsizing, reinforcement learning scaling laws, and model distillation scaling laws, all accelerating AI development. R1's open-source nature intensifies US-China competition, highlighting the massive geopolitical implications of AI's rapid progress.

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AI