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- LLM Release Cycle: Game Theory and Market Dynamics https://talsperre.github.io/blog/2025/game-theory/ 0 comments
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- https://openai.com/index/hello-gpt-4o/ 2481 comments
- Safe Superintelligence Inc. https://ssi.inc 1068 comments
- https://openai.com/index/openai-o3-mini/ 902 comments
- Introducing the next generation of Claude \ Anthropic https://www.anthropic.com/news/claude-3-family 704 comments
- Prisoner's dilemma - Wikipedia https://en.wikipedia.org/wiki/Prisoner%27s_dilemma 152 comments
- Home \ Anthropic https://www.anthropic.com/ 48 comments
- Manim Community https://www.manim.community/ 25 comments
- OpenAI has evidence that its models helped train China’s DeepSeek | The Verge https://www.theverge.com/news/601195/openai-evidence-deepseek-distillation-ai-data 21 comments
- Stag hunt - Wikipedia https://en.wikipedia.org/wiki/Stag_hunt 18 comments
- https://openai.com/index/introducing-openai-o1-preview/ 17 comments
- Focal point (game theory) - Wikipedia https://en.wikipedia.org/wiki/Focal_point_(game_theory) 13 comments
- https://twitter.com/sama/status/1889755723078443244 11 comments
- [1503.02531] Distilling the Knowledge in a Neural Network https://arxiv.org/abs/1503.02531 5 comments
- Anthropic's next major AI model could arrive within weeks | TechCrunch https://techcrunch.com/2025/02/13/anthropics-next-major-ai-model-could-arrive-within-weeks/ 5 comments
- [2106.05237] Knowledge distillation: A good teacher is patient and consistent https://arxiv.org/abs/2106.05237 2 comments
- https://twitter.com/elonmusk/status/1890958798841389499 1 comment
- [2203.15556] Training Compute-Optimal Large Language Models https://arxiv.org/abs/2203.15556 0 comments
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