Feed Aggregation, FreshRSS, ATOM, Content Syndication

How to Spread the Gospel Digitally: Reaching Souls in the Online World
open.forem.com·2d·
Discuss: DEV
💻Tech
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PolyForm Noncommercial 2.0.0-pre.1
writing.kemitchell.com·1d·
Discuss: Hacker News
🛠️Developer Tools
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Use AMP to send interactive, dynamic emails
amp.dev·2d·
Discuss: Hacker News
✍️Prompt Engineering
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The Noise and the Signal
russmiles.substack.com·2d·
Discuss: Substack
✍️Prompt Engineering
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Notes on Google's Space Data Centers
angadh.com·21h·
Discuss: Hacker News
Model Efficiency
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Casing Collar Identification using AlexNet-based Neural Networks for Depth Measurement in Oil and Gas Wells
arxiv.org·2d
LLM Optimization
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Dynamic Modeling of Precipitation in Electrolyte Systems
arxiv.org·2d
🤖AI
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Beyond Localhost: Security, Authentication, and Real-World Sources
hackernoon.com·3d
🔓Hacking
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Hypergraph Embedding Optimization for Graph Database Query Acceleration via Differential Evolution
dev.to·1d·
Discuss: DEV
LLM Optimization
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GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
arxiv.org·2d
LLM Optimization
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Unlocking Developer Revenue: How Monetzly Transforms AI App Monetization
dev.to·14h·
Discuss: DEV
🔍AI Interpretability
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Two-Parameter R\'enyi Information Quantities with Applications to Privacy Amplification and Soft Covering
arxiv.org·1d
LLM Optimization
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Daily Artificial Intelligence Digest - Nov 06, 2025
dev.to·12h·
Discuss: DEV
🔍AI Interpretability
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From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilers
arxiv.org·8h
LLM Optimization
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Analysis of Iterative Deblurring: No Explicit Noise
arxiv.org·1d
LLM Optimization
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How to Install Meetily: Complete Desktop Setup Guide (Windows & macOS)
dev.to·1h·
Discuss: DEV
LLM Optimization
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Dynamic Neuro-Network Resilience via Stochastic Gradient Amplification and Adaptive Sparsity (DNSAS)
dev.to·4h·
Discuss: DEV
Model Efficiency
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Adaptive Beamforming Optimization via Decentralized Reinforcement Learning in Millimeter Wave Networks
dev.to·17h·
Discuss: DEV
LLM Optimization
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