Show HN: Sync Supabase Users to Beehiiv
emails.lindra.ai·20m·
Discuss: Hacker News
🗄databases and optimization
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How machine learning works for payment fraud detection and prevention
stripe.com·4h·
Discuss: Hacker News
🗄databases and optimization
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The Transformer and the Hash: building blocks of 21st century political science
nothinghuman.substack.com·6h·
Discuss: Substack
🗄databases and optimization
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How AI and Hyperlocal Targeting Are Rewriting the Rules of Advertising
entrepreneur.com·21h
🗄databases and optimization
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From Rabbit Holes to Recommendations: Reddit’s Vishal Gupta
sloanreview.mit.edu·1d
🗄databases and optimization
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How to Achieve 4x Faster Inference for Math Problem Solving
developer.nvidia.com·3d
🗄databases and optimization
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Feature Detection, Part 2: Laplace & Gaussian Operators
towardsdatascience.com·23h
🗄databases and optimization
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Why AI Won't Save Your PLG Strategy (But It's Changing How I Find It)
ksred.com·2d·
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🗄databases and optimization
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Phoenix – Highly Optimized Solver for the Nonlinear 2D Schrödinger Equation
github.com·1d·
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🗄databases and optimization
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Choosing Your AI Orchestration Stack for 2026
thenewstack.io·15h
🗄databases and optimization
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GrabExpertClone AI Review- Finally... An AI That Doesn't Just "Help" You Create Content
dev.to·2d·
Discuss: DEV
🗄databases and optimization
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Next-Latent Prediction Transformers Learn Compact World Models
arxiv.org·2d
🔤type system theory and implementation
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The Secret Life of Python: Generator Secrets - Functions That Remember
dev.to·2d·
Discuss: DEV
🔤type system theory and implementation
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The 6% Problem: Why AI Safety Monitoring Isn’t Optional Anymore
pub.towardsai.net·1d
🗄databases and optimization
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Interaction Dynamics as a Reward Signal for LLMs
arxiv.org·1d
🗄databases and optimization
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Guardian-regularized Safe Offline Reinforcement Learning for Smart Weaning of Mechanical Circulatory Devices
arxiv.org·2d
🗄databases and optimization
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Towards Optimal Constellation Design for Digital Over-the-Air Computation
arxiv.org·2d
🔤type system theory and implementation
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Grizzlies coach Tuomas Iisalo slams team's effort after 36-point loss to Celtics
nytimes.com·6h
🐘PostgreSQL
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Spatial Information Bottleneck for Interpretable Visual Recognition
arxiv.org·6h
🗄databases and optimization
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Towards a Standard, Enterprise-Relevant Agentic AI Benchmark: Lessons from 5.5 billion tokens' worth of agentic AI evaluations
arxiv.org·1d
🗄databases and optimization
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