Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
techxplore.com·17h
Experiments on Reward Hacking Monitorability in Language Models
lesswrong.com·3h
Use of Assertions
blog.regehr.org·17h
How Flavor Is Informed by More Than Just Taste
laughingsquid.com·14h
How Static Analysis Can Expose Personal Data Hidden in Source Code
hackernoon.com·20h
Publisher Correction: Multiple oestradiol functions inhibit ferroptosis and acute kidney injury
nature.com·17h
SandboxAQ Supercharges OpenFold3 with AQAffinity: High-Speed, Structure-Free Drug Potency Prediction
prnewswire.com·1d
An (Science) experiment and one questionable blackberry–mocha–banana smoothie ☕
notesonmydesk.top·14h
Building a Self-Healing Data Pipeline That Fixes Its Own Python Errors
towardsdatascience.com·19h
Causal analysis of ship inspection data and maritime accidents through causal neural networks
sciencedirect.com·17h
AI has a bias problem. Can we build something smarter?
news.berkeley.edu·1d
Learning from Models
rodney.bearblog.dev·1d
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