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About
Conjecture Machines
AI agents and the new validation bottleneck in science
Jul 15
•
Conor Griffin
and
Don Wallace
24
5
6
The Science of Learning
A discussion with Carl Hendrick
Jul 8
•
Conor Griffin
22
4
3
5 Rules of AI Writing
Who cares if humans write anymore?
Jun 30
•
Tom Rachman
52
22
16
Q&A: Pangram CEO
How can you detect AI writing? Max Spero explains
Jun 23
•
Tom Rachman
27
8
Stop Shouting. Start Policymaking.
AI tools can show politicians what the public wants—not just where people disagree
Jun 17
•
AI Policy Perspectives
25
2
2
Latest
Top
Discussions
The World Cup & AI
Technology promised to fix football—but fans are raging. Here’s what the bungled rollout tells us
Jun 3
•
AI Policy Perspectives
16
4
Four Interesting AI Safety & Responsibility Papers (#5)
What we're reading
May 28
•
Conor Griffin
12
3
3
AI for Criminals
What outlaws could become—and how police can respond
May 21
•
AI Policy Perspectives
9
2
Good Under the Hood?
When facing dilemmas, AI needs “moral competence”
May 7
•
Julia Haas
and
Tom Rachman
15
4
5
Science Needs AI Data Stocktakes
A proof-of-concept for fusion energy
Apr 30
•
Conor Griffin
,
Don Wallace
, and
Theo Brown
20
9
7
Q&A with Ethan Mollick
"People like AI when they use it themselves; they don’t like AI writ large"
Apr 22
•
Tom Rachman
17
6
AI Agents Running the State
What could possibly go wrong?
Apr 15
•
AI Policy Perspectives
30
7
AI Policy Primer (#24)
Identifying agents, self-improvement, and artificial clouds
Apr 9
•
Conor Griffin
18
2
2
How Tech Changed Chess
And why AI won’t end our games
Mar 25
•
AI Policy Perspectives
16
1
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AI Policy Perspectives
Contributions from a range of thinkers on AI policy and governance topics, all in a personal capacity.
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Recommendations
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