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Stupid AI Automation
Why knowing what not to automate with AI is a competitive edge
May 2
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Robert Osazuwa Ness
2
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Stupid AI Automation
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April 2025
A GraphRAG Explainer for Fellow Swifties
How Taylor Swift could use one the most powerful new AI techniques
Apr 8
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Robert Osazuwa Ness
4
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A GraphRAG Explainer for Fellow Swifties
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February 2025
My Book Is Out! Why I Wrote It and How You Can Help
Bridging the Gap Between Deep Learning and Causal Inference—A Code-First Approach
Feb 24
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Robert Osazuwa Ness
8
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My Book Is Out! Why I Wrote It and How You Can Help
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April 2024
Beyond Deepfakes: The Generative AI Threat to 2024's Elections
How platforms like TikTok become battlegrounds for AI-powered propaganda
Apr 1, 2024
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Robert Osazuwa Ness
1
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Beyond Deepfakes: The Generative AI Threat to 2024's Elections
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January 2023
ChatGPT: The future of attribution? (Part 2)
Evaluating ChatGPT on a hard and useful task.
Jan 13, 2023
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Robert Osazuwa Ness
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ChatGPT: The future of attribution? (Part 2)
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December 2022
ChatGPT: The future of attribution? (Part 1)
Evaluating ChatGPT on a hard and useful task.
Dec 24, 2022
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Robert Osazuwa Ness
6
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ChatGPT: The future of attribution? (Part 1)
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November 2022
More robust, decomposable, and explainable AI
What is causal AI (Part 2)
Nov 3, 2022
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Robert Osazuwa Ness
1
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More robust, decomposable, and explainable AI
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October 2022
What is causal AI? (Part 1)
Key motivations for learning causal AI
Oct 27, 2022
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Robert Osazuwa Ness
2
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What is causal AI? (Part 1)
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August 2022
A code first Causal AI book
Available on early access, 40% off code valid until end-of-month
Aug 23, 2022
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Robert Osazuwa Ness
4
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A code first Causal AI book
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June 2022
Beyond Bayes: Automating Human Reasoning
An ICML workshop focused on paths towards universal reasoning systems
Jun 3, 2022
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Robert Osazuwa Ness
1
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Beyond Bayes: Automating Human Reasoning
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April 2022
Tripwires
Or, how to avoid Nazi takeovers and other threats with reverse reasoning
Apr 29, 2022
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Robert Osazuwa Ness
3
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Tripwires
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December 2021
Christmas Trees and Invariance in Machine Learning
Rotation invariant Christmas trees are trending this year.
Dec 26, 2021
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Robert Osazuwa Ness
2
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Christmas Trees and Invariance in Machine Learning
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October 2021
Thoughts after one month at Microsoft Research
Plus a paradox and an internship opportunity.
Oct 25, 2021
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Robert Osazuwa Ness
1
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Thoughts after one month at Microsoft Research
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September 2021
AI salaries and Chinese tea-boiled eggs
From Chinese A-bombs to exploding AI pay scales.
Sep 18, 2021
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Robert Osazuwa Ness
1
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AI salaries and Chinese tea-boiled eggs
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Towards Causal AI
Reverse engineering causal reasoning in humans
Sep 2, 2021
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Robert Osazuwa Ness
1
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Towards Causal AI
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August 2021
Interventions and "no causation without manipulation"
A rough Internet guide to interventions in causal models.
Aug 26, 2021
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Robert Osazuwa Ness
2
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Interventions and "no causation without manipulation"
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Tiger moms, Bach, and Reichenbach
Causal sufficiency and the Causal Frame Problem
Aug 12, 2021
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Robert Osazuwa Ness
1
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Tiger moms, Bach, and Reichenbach
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Prenatalomica
Prenatal decision-making by the numbers
Aug 6, 2021
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Robert Osazuwa Ness
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Prenatalomica
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Ultrasounds are pretty fancy. Also, baby news.
Coming back online after hiatus.
Aug 2, 2021
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Robert Osazuwa Ness
4
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Ultrasounds are pretty fancy. Also, baby news.
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June 2021
A modeler's manifesto
If Martin Luther were a modeler, he'd have written this.
Jun 25, 2021
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Robert Osazuwa Ness
3
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A modeler's manifesto
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May 2021
Cognitive Bias & Deep Learning Bro-dom
The typical machine learning playbook and why it sucks.
May 7, 2021
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Robert Osazuwa Ness
4
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Cognitive Bias & Deep Learning Bro-dom
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April 2021
A Gemba Walk for Data Science
An excerpt from Altdeep.ai’s workshop Modern Probabilistic Modeler.
Apr 30, 2021
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Robert Osazuwa Ness
2
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A Gemba Walk for Data Science
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Causality and what Bayesian's are afraid to talk about.
Part 3: A primer on IID, exchangeability, and Bayesian causality.
Apr 26, 2021
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Robert Osazuwa Ness
4
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Causality and what Bayesian's are afraid to talk about.
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The story of MNIST and the perils of engineered data
Part 2: A primer on IID, exchangeability, and Bayesian causality.
Apr 10, 2021
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Robert Osazuwa Ness
4
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The story of MNIST and the perils of engineered data
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