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Nathan Lambert GitHub
si-rl-samples — Investigate the sample efficiency of classical system identification with control verses model-free RL.
identificationsamplesinvestigate
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29 August
9 August
8 May
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But, what's not been successful is learning about uh biology and biological change. And one big reason for that has been that the sample sizes have been too small.
23 February
23 January
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korrents.com
A personalized classifier needs several hundred labeled examples before its predictions become reliable.Their words
Predictions were poor until I got to over 250 samples in the training set.
Email triage with an embedding-based classifieradamwiggins.com
23 November 2025
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korrents.com
Human annotators can miss up to half of defects due to fatigue when reviewing large volumes of samples.Their words
And human annotators can miss as many as 50% of the defects due to fatigue after looking at hundreds of samples.
17 October 2025
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Their words
all of the samples you get from models are silently collapsed. They're silently, this is not obvious if you look at any individual example of it. They occupy a very tiny manifold of the possible space of um sort of thoughts about content.
18 September 2025
13 September 2025
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korrents.com
Nine tenths of the cost of Mars Sample Return comes from a single planetary-protection requirement.Their words
something like 90% of the complexity and cost of MSR is driven by a requirement that the samples “break the chain” on the way home
8 May 2024
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Their words
Both the genome sequences of pandemic viruses and step-by-step protocols to make infectious samples from synthetic DNA are now freely available online.
4 February 2023
15 April 2022
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