o1 - What is Going On? Why o1 is a 3rd Paradigm of Model + 10 Things You Might Not Know
AI Explained. The clearest non-hype explanation of why o1 (and by extension o3, R1, Claude extended thinking) is trained for correctness instead of next-token prediction, and what that means for how you talk to it. Watch this and the article's "stop saying think step by step, start writing the spec" advice stops feeling arbitrary.
AI Expert note
Treat the o1 terminology as historical context. The useful lesson is the prompting shift toward tight task specifications; current model names, product limits and best practices will keep changing.
What you should get from this
Understand why reasoning-model prompts should specify the problem, constraints and success criteria instead of asking for visible chain-of-thought.
Watch or know first
Basic prompting experience and familiarity with model names such as o-series, Claude extended thinking and R1.
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Take it further
Hand-picked external courses that go deeper on this topic.
DeepLearning.AIChatGPT Prompt Engineering for Developers
Ninety minutes to a year's worth of intuition. If you've started writing code that calls an LLM — or you're about to — this is the most efficient course online for closing the gap between "playing with ChatGPT" and "shipping a feature that calls an LLM."
Coursera · Vanderbilt UniversityPrompt Engineering for ChatGPT
The academic complement to DeepLearning.AI's short course — same discipline, longer arc, written for people who don't code. Dr. White teaches prompting as a set of reusable patterns (Ask for Input, Outline Expansion, Fact Check List, Menu Actions) rather than tricks. After this you'll prompt LLMs like a designer, not a guesser.