5 minutesHow to tell if an image is fake content from AI
List two visual tells that can suggest (not prove) an image is AI-generated.
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The New, Smartest AI: Claude 3 – Tested vs Gemini 1.5 + GPT-4
AI Explained. Older than the article (March 2024), but the methodology is what's useful: a single careful reviewer running the same hard tasks — OCR, theory of mind, instruction following, math — through three frontier models side by side and showing exactly where each one cracks. The model names are dated, the framework for comparing models is not.
AI Expert note
Treat this as a testing-method video, not a current ranking. The concrete winners are historical; the useful part is running the same examples, checking failure modes and resisting vague "best model" claims.
What you should get from this
See a structured comparison method you can reuse when deciding which model is good enough for a task.
Watch or know first
Know that Claude 3, Gemini 1.5 and GPT-4 are no longer the frontier baseline.
Last reviewed: May 18, 2026
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Take it further
Hand-picked external courses that go deeper on this topic.
Coursera · DeepLearning.AIGenerative AI for Everyone
Andrew Ng
Real time inside an LLM, learning to prompt deliberately and recognise where generative AI is genuinely useful versus where it's a trap. Calm, no-hype teaching — the perfect bridge from "I've tried ChatGPT once" to "I use it every day with confidence."
Beginner~5 hours
Coursera · DeepLearning.AI + AWSGenerative AI with Large Language Models
Antje Barth · Shelbee Eigenbrode · Mike Chambers · Chris Fregly
When practitioners ask "what should I take if I'm serious about building with LLMs?", this is the answer. Mathematically honest without being a research paper; AWS-flavoured deployment chapters stay useful even if you'll never touch SageMaker.
Advanced~16 hours
Coursera · Google CloudIntroduction to Generative AI
Google Cloud
Google's own answer to 'what is generative AI, actually' — the non-technical counterpart to Elements of AI, aimed explicitly at sales, HR, marketing, and operations roles rather than engineers. Forty-five minutes to a real mental model of how generative AI differs from classic machine learning, with no code and no jargon.
New to AI~1 hour