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Model alignment protects against accidental harms, not intentional ones
The hand wringing about failures of model alignment is misguided
Dec 1
•
Arvind Narayanan
and
Sayash Kapoor
38
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Model alignment protects against accidental harms, not intentional ones
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What the executive order means for openness in AI
Good news on paper, but the devil is in the details
Oct 31
•
Arvind Narayanan
and
Sayash Kapoor
41
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What the executive order means for openness in AI
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How Transparent Are Foundation Model Developers?
Introducing the Foundation Model Transparency Index
Oct 18
•
Sayash Kapoor
35
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How Transparent Are Foundation Model Developers?
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Evaluating LLMs is a minefield
Annotated slides from a recent talk
Oct 4
•
Arvind Narayanan
and
Sayash Kapoor
81
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Evaluating LLMs is a minefield
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Is the future of AI open or closed? Watch today’s Princeton-Stanford workshop
By Sayash Kapoor, Rishi Bommasani, Percy Liang, Arvind Narayanan Perhaps the biggest tech policy debate today is about the future of AI, especially…
Sep 21
•
Sayash Kapoor
and
Arvind Narayanan
29
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Is the future of AI open or closed? Watch today’s Princeton-Stanford workshop
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One year update: book submitted; TIME 100; Sep 21 online workshop
It's been an eventful year
Sep 8
•
Arvind Narayanan
and
Sayash Kapoor
37
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One year update: book submitted; TIME 100; Sep 21 online workshop
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Does ChatGPT have a liberal bias?
A new paper making this claim has many flaws. But the question merits research
Aug 18
•
Arvind Narayanan
and
Sayash Kapoor
34
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Does ChatGPT have a liberal bias?
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Introducing the REFORMS checklist for ML-based science
ML-based science is in trouble. Clear reporting standards for researchers could help.
Aug 16
•
Sayash Kapoor
and
Arvind Narayanan
38
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Introducing the REFORMS checklist for ML-based science
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AI Snake Oil
What makes AI click, what makes it fail, and how to tell the difference
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AI Snake Oil
What makes AI click, what makes it fail, and how to tell the difference
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