MAMuhammad Azlaan Zubairinwait-what.hashnode.dev·5d ago · 3 min readIs Overthinking a Red Flag? We Put AI Reasoning to the Test.More Thinking Doesn't Always Mean Better Answers Reasoning models are designed to think step by step, and the common assumption is simple: More thinking = better results. I expected reasoning models02G
EIEshan Inamdarineshaninamdar.hashnode.dev·May 15 · 11 min readAgentic AI Deep Dive — How Agents ThinkWhere We Left Off In Part 2 we opened the hood. Every agent — regardless of framework — has five core components: LLM, planner, executor, tools, and memory. The harness manages the loop between them. 00
OOweninowenf.hashnode.dev·May 9 · 10 min readClaude Opus 4.6 vs GPT-5.5 vs Gemini 3.1 Pro: Reasoning Benchmarks (3 Real Tasks Tested)Claude Opus 4.6 vs GPT-5.5 vs Gemini 3.1 Pro: Reasoning Benchmarks (3 Real Tasks Tested) TL;DR — On three reasoning tasks (legal contradiction analysis, multi-step proof, nested-spec planning), Claude Opus 4.6 produced the most rigorous step-by-step ...00
PEPedro Eugeniointheweeklyprompt.news·Apr 27 · 4 min readThe Private LanguageTwo papers dropped this week that fit together like diagnosis and experiment. One counts what's broken. The other tries to fix it in a way nobody expected. Start with the numbers. A new study analyzed token consumption across eight frontier models on...10
OOweninowenf.hashnode.dev·Apr 26 · 8 min readDeepSeek-R1 Reasoning API: Production Guide with Chain-of-Thought (2026)DeepSeek-R1 Reasoning API: Production Guide with Chain-of-Thought (2026) TL;DR: DeepSeek-R1 exposes its full chain-of-thought via API at $0.28/M tokens — roughly 9× cheaper than GPT-5.4 and 18× cheaper than Claude Opus 4.7. This guide shows you how t...00
AAAbstract Algorithmsinabstractalgorithms.dev·Apr 18 · 27 min readChain of Thought Prompting: Teaching LLMs to Think Step by StepTLDR: Chain of Thought (CoT) prompting tells a language model to reason out loud before answering. By generating intermediate steps, the model steers itself toward correct conclusions — turning guessw00
PEPedro Eugeniointheweeklyprompt.news·Apr 17 · 4 min readThe Reasoning CeilingTwo things happened in AI research this week, and they point in opposite directions. Inference got meaningfully faster. And several papers made it clearer than ever exactly where reasoning models break, no matter how fast you run them. Start with the...00
ACAashish Chapaininblog.chapainaashish.com.np·Apr 13 · 9 min readReasoning Patterns in LLM: CoT & ReActA direct prompt works well with LLM for a simple task, but when a task needs multiple steps to arrive at a particular solution, a direct prompt is likely to fail because of LLM hallucination and assum30
ATAlex Towellinqueelius.hashnode.dev·Apr 10 · 5 min readSuperintelligence May Not Require a BreakthroughThere is a version of the superintelligence story where a researcher has a conceptual breakthrough, some fundamental insight about cognition that nobody else has seen, and the world changes overnight. Good fiction. I've written some of it myself. I t...00
ATAlex Towellinqueelius.hashnode.dev·Apr 10 · 6 min readI Spent $0.48 to Find Out When MCTS Actually Works for LLM ReasoningDoes tree search help LLM reasoning? The literature can't decide. ReST-MCTS* says yes. AB-MCTS got a NeurIPS spotlight. "Limits of PRM-Guided Tree Search" says no: MCTS with a process reward model used 11x more tokens than best-of-N for zero accuracy...00
