Chain of Thought — why 'think step by step' actually works

<p>The release of OpenAI's o3 and o4 reasoning models marked a shift in how we understand language model capabilities. These models do not simply generate text. They allocate

<p>You opened ChatGPT before Slack this morning.<br /><br /> Not for anything complicated. Just to figure out how to begin.</p> <p>That small move is already changing what

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<h1> How Many R's in Strawberry? Your AI Has No Idea Why That's Hard </h1> <p>How many R's are in the word "strawberry"?</p> <p>If you ask ChatGPT, there's a decent chance you'll

<blockquote> <p>This article is syndicated from the original post on <a href="https://blogs.oracle.com/developers/16-ways-to-make-a-small-language-model-think-bigger"

arXiv:2610.15107v1 Announce Type: new Abstract: Chain-of-thought prompting enables reasoning in large language models but produces explanations that are difficult to verify,

<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1sk599r/the_stamp_and_the_shadow_how_control_mechanisms/"> <img alt="The Stamp and the Shadow: How Control

<p>GPT-5.4 shipped on March 5. Seven weeks later, on April 23, 2026, OpenAI released GPT-5.5 — and the pace alone tells you something about where this race is headed. This isn't