Ashwin deshpande·6d agoHow to Handle New Models in a Multi-Model BackendA backend that calls a hosted language model rarely uses just one. The service keeps a fixed list of the models it knows about, and each…
Abivarma·Oct 28The Grandmaster’s Scratchpad: Why AI Models Are Spending 30 Seconds ThinkingExtra thinking let a small model beat a 14× larger one on some MATH problems. Here’s how it works, where it fails, and what it costs.
Muhammad Awais·Oct 23Inside the “Thinking” AI Engine: 5 Surprising Takeaways From the New Wave of Reasoning ModelsHuman cognition operates on two distinct gears. When asked a simple question like “what day is it today?”, your brain retrieves the answer…
Salman Khan·Oct 16Reasoning Models: What “Thinking” Actually Means for an LLMEvery major lab now sells a model that pauses before it answers. Here’s what that pause really is, what it costs, and the research showing…
Atharva Weginwar·Oct 12Agents Trust What They RetrieveA misleading claim persuades AI reasoning models up to four times more often when it sits inside a retrieved document than when the user…
Clemence Ayekple·Oct 7OpenAI’s 722 AI-Written Math Papers: The Real Breakthrough Is the DenominatorAn unreleased OpenAI model was given about 4,000 open research problems. The company have now published 722 manuscripts, along with their…
SANZO Lotuswalker (eiko watanabe)·Oct 7Easy reasoning training for a structure thinkI practised simple reasoning training with friendship anime.
ComfyAI·Oct 7When Reasoning Models Think Too Much: Mapping Where “Thinking” Actually Pays OffReasoning models have a well-known bad habit. Ask them something trivial, like “What is 7 + 2?” or “What date is 1,000 days from today?”…
ComfyAI·Oct 4Is Latent Reasoning Actually Reasoning? Three Probes Say YesToday’s large models do multi-step reasoning mostly at the token level. Chain-of-thought (CoT) writes the thinking out step by step as…
InGoPenAIbyDeepak Mishra·Sep 28One Model, Two Speeds: Designing a Unified Reasoning and Fast-Response Inference SystemHow to stop choosing between “smart but slow” and “fast but shallow”, and let the model decide how much to think.A response icon1A response icon1
