In 3 Body Problem, humans' secret weapon is fiction
domusweb.it·1d·
Discuss: Hacker News
🎮Verification Games
API Auth Is Deeper Than It Looks
nango.dev·1d·
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🌐NetworkProtocols
Is the Interstellar Object 3I/Atlas Alien Technology?
avi-loeb.medium.com·9h·
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🔬Unikernels
Microsoft Names Threat Actors
learn.microsoft.com·1h·
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🍎Apple
Marcus compressed all human knowledge into one word
hey.paris·1d·
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🍎Apple
Why isn't packaging part of Python core development?
pydevtools.com·1d·
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❄️Nixified Development
What is the smallest space in which a needle can be rotated to point in the opposite direction? This mathematician has finally solved the Kakeya conjecture
english.elpais.com·3d·
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🔬Unikernels
Huawei's star AI model was built on burnout and plagiarism
the-open-source-ward.ghost.io·1d·
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🔬Unikernels
Sandcastles Made of Bits
jsfour.substack.com·1d·
Discuss: Substack
🧱Immutable Infrastructure
AGI Is Mathematically Impossible (3): Kolmogorov Complexity
news.ycombinator.com·4d·
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✓Automated Theorem Proving
Grep a million GitHub repositories via MCP
vercel.com·9h·
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🛡️seL4
How much attention do you need, really? Experiments in O(1) task completion
notion.so·4d·
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🏹Effect Systems
Claude Code Unleashed
ymichael.com·2d·
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🤖Program Synthesis
Memory-Efficient Personalization of Text-to-Image Diffusion Models via Selective Optimization Strategies
arxiv.org·2d
💻CS
Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series
arxiv.org·2d
🏹Effect Systems
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps
arxiv.org·2d
🛡️seL4
From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research
arxiv.org·2d
🔠Type-Level Programming
SentiDrop: A Multi Modal Machine Learning model for Predicting Dropout in Distance Learning
arxiv.org·2d
💻CS
HANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging
arxiv.org·1d
💻CS
Time series classification of satellite data using LSTM networks: an approach for predicting leaf-fall to minimize railroad traffic disruption
arxiv.org·18h
💻CS