Angry Trump Snaps at Media as Brutal New Data Shows Size of GOP Losses
newrepublic.com·4h
📉Loss Distributions
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China Reveals Specifications for Largest Nuclear-Powered Cargo Ship
marineinsight.com·18h·
Discuss: Hacker News
📡Telemetry
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Physicists prove the Universe isn’t a simulation after all
sciencedaily.com·6h
🔗Systems Thinking
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Til hat-trick for PSV sinks AZ as Ajax lose again at Utrecht
dutchnews.nl·18h
📉Time Series Analysis
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Junk science and government
americanthinker.com·4h
🔗Systems Thinking
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Nvidia Buys Illumina? The AI Foundry for Healthcare
newsletter.semianalysis.com·10h·
Discuss: Hacker News
🌪️Chaos Engineering
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Modern perspectives in proof theory (2023)
pmc.ncbi.nlm.nih.gov·18h·
Discuss: Hacker News
♻️Recursion Schemes
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Water at the heart of climate resilience
thestatesman.com·10h
🔗Systems Thinking
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Teixeira: The Big Tent is Overrated
thedemocraticstrategist.org·8h
😴Lazy Evaluation
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Military Moral Injury, Violence, and the Parable of the Guinea Worm
nakedcapitalism.com·8h
💾information theory
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Anxiety is one of the world’s most common health issues. How have treatments evolved over the last 70 years?
ourworldindata.org·14h
📈ROC Curves
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All Polynomial Generators Preserve Distance with Mutual Correlated Agreement
eprint.iacr.org·4d
➡️Arrows
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My go-to prompt for legacy code exploration
leftofthe.dev·6h·
Discuss: Hacker News
software development practises
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Subsecond dopamine fluctuations do not specify the vigor of ongoing actions
nature.com·14h
📐Gini Coefficient
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FinTrust: A Comprehensive Benchmark of Trustworthiness Evaluation in FinanceDomain
paperium.net·22h·
Discuss: DEV
📐Gini Coefficient
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Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response
arxiv.org·4d
📈ROC Curves
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What we learned in NFL Week 10: Crowded race atop AFC, Bears find a way - The New York Times
news.google.com·4h
💾information theory
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PICABench: How Far Are We from Physically Realistic Image Editing?
paperium.net·16h·
Discuss: DEV
🐛Fuzz Testing
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Why Our Minds Can’t Rest Right Now
psychologytoday.com·2h
🌪️Chaos Engineering
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Measuring Aleatoric and Epistemic Uncertainty in LLMs: Empirical Evaluation on ID and OOD QA Tasks
arxiv.org·4d
⛓️MCMC
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