ComfyAI·Sep 2Chain of Thought Isn’t Lying to You. It’s Just Leaving Things Out.There’s a popular claim going around: chain-of-thought reasoning from large language models is unfaithful, and therefore doesn’t count as a…A response icon1A response icon1
Kunal Shenoy·Aug 23Can We Trust Chain-of-Thought? A Faithfulness Test for Reasoning ModelsA controlled open-model experiment shows why a plausible rationale is not automatically a faithful explanation.
KV Perumal·May 25The 5 Prompting Techniques Separating Senior AI Engineers from Everyone ElseFrom zero-shot instructions to graph-structured reasoning — a production engineer’s guide to the five prompting paradigms that actually…
Naren Suri·Apr 4Beyond the Guess: The Rise of Reasoning in Large Language ModelsIn the early days of generative AI — meaning, all of three years ago — we were impressed if a model could write a semi-coherent poem about…
Micheal Lanham·Feb 4Replace “Think Step-by-Step” with a 2-Line Scratchpad Contract: Same Reasoning, Fewer TokensStop burning tokens on verbose chain-of-thought. A simple format swap cuts 90% of reasoning costs while keeping accuracy intact.
Ayush Kumar·Dec 18, 2025Interleaved Thinking in LLMs for LLMsRecent advances in large language models (LLMs) and multimodal foundation models increasingly rely on inference procedures that alternate…
Kan Yuenyong·Nov 23, 2025Why I Judge GPT-5.1In November 2025, Google released its long awaited Gemini 3 series. Presented as its most capable foundation model to date, Gemini 3…
InStackademicbyDhanushKumar·Nov 11, 2025The Truth About LLM Hallucinations — And How We Can Stop ThemLarge Language Models (LLMs) like GPT-4, Claude, and LLaMA are changing the way we interact with technology. But even as they dazzle us…A response icon1A response icon1
