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ChatGPT: The future of attribution? (Part 2)
Evaluating ChatGPT on a hard and useful task.
 • 
Robert Osazuwa Ness
December 2022
ChatGPT: The future of attribution? (Part 1)
Evaluating ChatGPT on a hard and useful task.
 • 
Robert Osazuwa Ness
2
November 2022
More robust, decomposable, and explainable AI
What is causal AI (Part 2)
 • 
Robert Osazuwa Ness
October 2022
What is causal AI? (Part 1)
Key motivations for learning causal AI
 • 
Robert Osazuwa Ness
August 2022
A code first Causal AI book
Available on early access, 40% off code valid until end-of-month
 • 
Robert Osazuwa Ness
1
June 2022
Beyond Bayes: Automating Human Reasoning
An ICML workshop focused on paths towards universal reasoning systems
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Robert Osazuwa Ness
April 2022
Tripwires
Or, how to avoid Nazi takeovers and other threats with reverse reasoning
 • 
Robert Osazuwa Ness
December 2021
Christmas Trees and Invariance in Machine Learning
Rotation invariant Christmas trees are trending this year.
 • 
Robert Osazuwa Ness
1
October 2021
Thoughts after one month at Microsoft Research
Plus a paradox and an internship opportunity.
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Robert Osazuwa Ness
September 2021
AI salaries and Chinese tea-boiled eggs
From Chinese A-bombs to exploding AI pay scales.
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Robert Osazuwa Ness
Towards Causal AI
Reverse engineering causal reasoning in humans
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Robert Osazuwa Ness
August 2021
Interventions and "no causation without manipulation"
A rough Internet guide to interventions in causal models.
 • 
Robert Osazuwa Ness
1
© 2023 Robert Osazuwa Ness
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