New Paper: Towards a science of AI agent reliability

Quantifying the capability-reliability gap

Feb 24 • Sayash Kapoor and Arvind Narayanan

284

31

64

AI Won’t Automatically Make Legal Services Cheaper

Applying the AI as Normal Technology framework to legal services

Feb 12 • Justin Curl, Sayash Kapoor, and Arvind Narayanan

60

12

14

January 2026

Fact checking Moravec's paradox

This famous aphorism is neither true nor useful

Jan 29 • Arvind Narayanan

164

10

22

September 2025

A guide to understanding AI as normal technology

And a big change for this newsletter

Sep 9, 2025 • Arvind Narayanan and Sayash Kapoor

184

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July 2025

Could AI slow science?

Confronting the production-progress paradox

Jul 16, 2025 • Sayash Kapoor and Arvind Narayanan

283

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May 2025

AGI is not a milestone

There is no capability threshold that will lead to sudden impacts

May 1, 2025 • Sayash Kapoor and Arvind Narayanan

184

38

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April 2025

AI as Normal Technology

A new paper that we will expand into our next book

Apr 15, 2025 • Arvind Narayanan and Sayash Kapoor

561

35

119

December 2024

Is AI progress slowing down?

Making sense of recent technology trends and claims

Dec 18, 2024 • Arvind Narayanan and Sayash Kapoor

168

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29

We Looked at 78 Election Deepfakes. Political Misinformation is not an AI Problem.

Technology Isn’t the Problem—or the Solution.

Dec 13, 2024 • Sayash Kapoor and Arvind Narayanan

120

6

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November 2024

Does the UK’s liver transplant matching algorithm systematically exclude younger patients?

Seemingly minor technical decisions can have life-or-death effects

Nov 11, 2024 • Arvind Narayanan and Sayash Kapoor

101

11

7

October 2024

FAQ about the book and our writing process

What's in the book and how we wrote it

Oct 4, 2024 • Arvind Narayanan and Sayash Kapoor

87

13

6

September 2024

Can AI automate computational reproducibility?

A new benchmark to measure the impact of AI on improving science

Sep 18, 2024 • Sayash Kapoor and Arvind Narayanan

47

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