Securing and governing the rise of autonomous agents​​
microsoft.com·1d
🔐Capability Systems
I am an AI expert, here’s how you can separate real AI innovation from marketing hype
techradar.com·1d
🤖AI Curation
Inquiries-Week 4: Triangulate the Triangle
fractalkitty.com·19h·
Discuss: Hacker News
📊Computational Geometry
Nullable vs. Nullable in C#
einarwh.no·2d·
Discuss: Lobsters, Hacker News, r/programming
✅Format Verification
Did GPT-5 Solve 'New Math'?
tech2geek.net·1d·
Discuss: Hacker News
🎯Performance Proofs
[D]GEPA: Reflective Prompt Evolution beats RL with 35× fewer rollouts
reddit.com·2d·
Discuss: r/MachineLearning
🧮SMT Solvers
Architecting Beliefs for a Contested World
vasily.cc·2d·
Discuss: Hacker News
⚙️systems theory
Beyond the terminal: Gemini CLI comes to Zed
developers.googleblog.com·4h
📟Terminals
7 Steps to Mastering No Code Automation with n8n for Data Professionals
kdnuggets.com·2d
🌊Stream Processing
Everything I Studied to Become a Machine Learning Engineer (No CS Background)
towardsdatascience.com·1h
🧠Machine Learning
LLM Monitoring and Observability: Hands-on with Langfuse
towardsdatascience.com·1d
👁️System Observability
Kimi K2: The Game-Changing Open-Source AI That's Rewriting the Rules of Intelligent Development
dev.to·1d·
Discuss: DEV
🧠Intelligence Compression
Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets
arxiv.org·14h
🤝Consensus Protocols
Linguistic Neuron Overlap Patterns to Facilitate Cross-lingual Transfer on Low-resource Languages
arxiv.org·1d
💻Programming languages
A Review of Developmental Interpretability in Large Language Models
arxiv.org·2d
🤖Grammar Induction
Why Clean Code Feels Invisible (And That's the Point)
dev.to·13h·
Discuss: DEV
📏Code Metrics
Simulation Results of Distributed Fair Assignment and Rebalancing in Mobility‑On‑Demand
hackernoon.com·1d
⚡Incremental Computation
useMergedRefs: The Essential Custom Hook for Component Composition
dev.to·1d·
Discuss: DEV
🎯Gradual Typing
Flatness-aware Curriculum Learning via Adversarial Difficulty
arxiv.org·14h
📊Learned Metrics
CausalSent: Interpretable Sentiment Classification with RieszNet
arxiv.org·1d
⚖️Feed Ranking