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Brillant curation of these developments. The GPT-5.3 leak is particularly intresting because it shows OpenAI pivoting to "cognitive density" rather than just scaling up parameters. I've seen similar patterns in enterprise deployments where smaller, more efficient models actually outperform bloated ones on specific tasks. The pruning approach could fundamentaly change how we think about model architecture if the leaks hold true.

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