From Python Programmer to Distributed Systems Researcher in 10 Years Without a PhD
emptysqua.re·6h
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
Who Cares About Dogs?
theparisreview.org·15h
📡RSS Readers
The New Skill in AI is Not Prompting, It's Context Engineering
philschmid.de·1d·
Discuss: Hacker News
⚙️TLA+
[R] LSTM or Transformer as "malware packer"
reddit.com·2d·
Discuss: r/MachineLearning
🔍BitFunnel
We accidentally solved robotics by watching 1M hours of YouTube
ksagar.bearblog.dev·1d·
Discuss: Hacker News
🔲Cellular Automata
The Base Rate Fallacy: Why Your Smartest Model Still Gets It Wrong
hackernoon.com·1d
🎯Arithmetic Coding Theory
Challenging projects every programmer should try
austinhenley.com·4d·
Discuss: Hacker News
📝Compiler Design
Ken Kocienda - Coding With AI using Cursor
kocienda.micro.blog·3d
🔄Language Evolution
Big Data Fundamentals: spark
dev.to·9h·
Discuss: DEV
🌊Streaming Systems
From Jupyter to Production: Operationalizing ML Models at Scale
dev.to·3d·
Discuss: DEV
👁️Observatory Systems
A Modern Blueprint for Digital Insurance Transformation
dev.to·13h·
Discuss: DEV
🌊Streaming Systems
Exploring the Nuances of JavaScript's 'this' Keyword
dev.to·1d·
Discuss: DEV
💻Programming languages
Amazon Q vs. Claude vs. GPT-4o: Who Really Codes Better Under Pressure?
dev.to·1d·
Discuss: DEV
📏Code Metrics
Feature-Wise Mixing for Mitigating Contextual Bias in Predictive Supervised Learning
arxiv.org·1h
🧠Machine Learning
Critical Security Importance Digital Age Web Techniques（1751287605550100）
dev.to·16h·
Discuss: DEV
🔒WASM Capabilities
From expected to actual: Kotlin doesn't reinvent, it reuses 🔄
dev.to·4d·
Discuss: DEV
💧Liquid Types
EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysis
arxiv.org·1h
🧠Machine Learning
AWS open source newsletter, #211
dev.to·1d·
Discuss: DEV
🌊Streaming Systems
From Manual Testing Hell to Automated Paradise: How Keploy Revolutionized My Testing Workflow
dev.to·3d·
Discuss: DEV
🔍Concolic Testing
Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy
arxiv.org·4d
🛡️Differential Privacy