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A guide to understanding AI as normal technology
And a big change for this newsletter
Sep 9
•
Arvind Narayanan
and
Sayash Kapoor
167
32
30
July 2025
Could AI slow science?
Confronting the production-progress paradox
Jul 16
•
Sayash Kapoor
and
Arvind Narayanan
276
34
58
May 2025
AGI is not a milestone
There is no capability threshold that will lead to sudden impacts
May 1
•
Sayash Kapoor
and
Arvind Narayanan
177
40
41
April 2025
AI as Normal Technology
A new paper that we will expand into our next book
Apr 15
•
Arvind Narayanan
and
Sayash Kapoor
532
36
114
December 2024
Is AI progress slowing down?
Making sense of recent technology trends and claims
Dec 18, 2024
•
Arvind Narayanan
and
Sayash Kapoor
168
17
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
119
6
23
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
86
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
2
2
Start reading the AI Snake Oil book online
The book was published September 2024
Sep 10, 2024
•
Arvind Narayanan
and
Sayash Kapoor
178
5
9
August 2024
AI companies are pivoting from creating gods to building products. Good.
Turning models into products runs into five challenges
Aug 19, 2024
•
Arvind Narayanan
and
Sayash Kapoor
225
24
27
July 2024
AI existential risk probabilities are too unreliable to inform policy
How speculation gets laundered through pseudo-quantification
Jul 26, 2024
•
Arvind Narayanan
and
Sayash Kapoor
112
39
15
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