Anthropic's progress in retraining the Mythos model
The story so far
Anthropic can retrain its Mythos model with 'a small part of the original computing resources,' indicating an accelerated improvement in algorithmic efficiency. This is further progress for the model after achieving a major leap in capabilities in the spring.
AI-written from the reports · Updated 5 hours ago
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- ITHome · AIFormer Anthropic researcher Jacob Cowen: To retrain Mythos, only a small part of the initial computing power is needed
Former Anthropic researcher Jacob Cowen pointed out that the performance breakthrough of Anthropic's Mythos model launched this spring is due to the accelerated improvement in algorithmic efficiency, and retraining the model only requires a small part of the computing power used in the initial training. He left the company after presenting a computing power demand chart during the IPO roadshow, believing that algorithmic improvements will be automated, and recommended suspending cutting-edge AI research next year. Cowen, who previously worked at OpenAI and Anthropic, recently issued a public warning about AI risks, drawing attention.
- The DecoderFormer Anthropic researcher Coxon: Anthropic can now retrain the Mythos model using 'a small portion of the original computing resources'
Former Anthropic and OpenAI researcher Jacob Coxon said the IPO roadshow slides for Anthropic were the main reason for his departure, as they showed that after a major leap in capabilities for its Mythos model in the spring, it could be retrained using 'a small portion of the original computing resources,' indicating that algorithm efficiency was accelerating.
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