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ThomasW
Center for AI Safety
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9
[MLSN #9] Verifying large training runs, security risks from LLM access to APIs, why natural selection may favor AIs over humans
2mo
0
10
[MLSN #8] Mechanistic interpretability, using law to inform AI alignment, scaling laws for proxy gaming
3mo
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24
Announcing the Introduction to ML Safety course
10mo
3
20
$20K In Bounties for AI Safety Public Materials
10mo
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29
Examples of AI Increasing AI Progress
10mo
4
19
Open Problems in AI X-Risk [PAIS #5]
1y
2
17
Perform Tractable Research While Avoiding Capabilities Externalities [Pragmatic AI Safety #4]
1y
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19
Complex Systems for AI Safety [Pragmatic AI Safety #3]
1y
1
41
A Bird's Eye View of the ML Field [Pragmatic AI Safety #2]
1y
2
29
Introduction to Pragmatic AI Safety [Pragmatic AI Safety #1]
1y
0
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