Linking pages
- New study shows why simulated reasoning AI models don’t yet live up to their billing - Ars Technica https://arstechnica.com/ai/2025/04/new-study-shows-why-simulated-reasoning-ai-models-dont-yet-live-up-to-their-billing/ 4 comments
- The State of Reinforcement Learning for LLM Reasoning https://sebastianraschka.com/blog/2025/the-state-of-reinforcement-learning-for-llm-reasoning.html 1 comment
- Engineering reasoning LLMs: Notes and Observations https://www.thelis.org/blog/reasoning-model-notes 0 comments
- Data Science Weekly - Issue 590 https://datascienceweekly.substack.com/p/data-science-weekly-issue-590 0 comments
- The State of Reinforcement Learning for LLM Reasoning https://magazine.sebastianraschka.com/p/the-state-of-llm-reasoning-model-training 0 comments
Linked pages
- Claude 3.7 Sonnet and Claude Code \ Anthropic https://www.anthropic.com/news/claude-3-7-sonnet 972 comments
- Understanding Reasoning LLMs - by Sebastian Raschka, PhD https://magazine.sebastianraschka.com/p/understanding-reasoning-llms 188 comments
- [2502.05171] Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach https://arxiv.org/abs/2502.05171 57 comments
- Build a Large Language Model (From Scratch): Raschka, Sebastian: 9781633437166: Amazon.com: Books https://www.amazon.com/dp/1633437167/ 38 comments
- [2502.18600] Chain of Draft: Thinking Faster by Writing Less https://arxiv.org/abs/2502.18600 12 comments
- Grok 3 Beta — The Age of Reasoning Agents https://x.ai/blog/grok-3 2 comments
- [2408.03314] Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters https://arxiv.org/abs/2408.03314 1 comment
- [2501.18585] Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs https://arxiv.org/abs/2501.18585 0 comments
- [2501.19393] s1: Simple test-time scaling https://arxiv.org/abs/2501.19393 0 comments
- [2502.06703] Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling https://arxiv.org/abs/2502.06703 0 comments
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