Revisiting Mojo: A faster Python?
infoworld.com·3d·
Discuss: Hacker News
📦uv
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Why are sizes signed in the Futhark programming language?
futhark-lang.org·1d·
Discuss: Hacker News
📏Linear Types
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Self Hostable and Open Source Multi-Location Uptime Monitoring
govigilant.io·5h·
Discuss: Hacker News, r/opensource, r/selfhosted
☁️Cloudflare Workers
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How to Write a Book in Markdown
carlalexander.ca·1d·
Discuss: Hacker News
📝Markdown
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The Generalisation Illusion: A 2025 Psychological Audit of Artificial Intelligence
jorgebscomm.blogspot.com·1d
🛡️AI Security
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Windows ARM Goes Tier 1
weeklyrust.substack.com·5d·
Discuss: Substack
🐧Rust for Linux
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LogSentinel (Rust) – High-Performance Rule Engine for Real-Time Log Threat Detection
github.com·19h·
Discuss: r/rust
🔎Quickwit
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Decoding Martian Data: Ensuring Accuracy in the Face of the Unknown
dev.to·1d·
Discuss: DEV
⚡Incremental Computation
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Tech With Tim: Python Skills You NEED Before Machine Learning
dev.to·15h·
Discuss: DEV
📊Data Science
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ConSurv: Multimodal Continual Learning for Survival Analysis
arxiv.org·1d
🧠Machine Learning
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Bicycles Are All Your AI Agents Need
dev.to·2d·
Discuss: DEV
💬Prompt Engineering
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The ideal way to prompt your AI coding assistant for 90% accuracy
dev.to·1d·
Discuss: DEV
💬Prompt Engineering
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The DeFAI Crucible: Navigating Trust and Automation in a Nascent Market
hackernoon.com·1d
💰TigerBeetle
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Beyond the Data Pipeline: Building Modular AI Agents with Model Context Protocol (MCP)
pub.towardsai.net·1d
🚀MLOps
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TiDAR: Think in Diffusion, Talk in Autoregression
arxiv.org·2d·
Discuss: Hacker News
🌀Naiad
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Adaptive Risk Mitigation Through Multi-Agent Reinforcement Learning for Space Debris Tracking
dev.to·43m·
Discuss: DEV
🧭Inertial Navigation
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Day 1267 : I Linger On
dev.to·15h·
Discuss: DEV
📔Journaling
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Expand Your SCOPE: Semantic Cognition over Potential-Based Exploration for Embodied Visual Navigation
arxiv.org·2d
🤖Robotics
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I Built a Voice-Controlled Plant Sitter in Python with Goose & Gemini CLI
dev.to·1d·
Discuss: DEV
🖥️SerenityOS
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Split-Layer: Enhancing Implicit Neural Representation by Maximizing the Dimensionality of Feature Space
arxiv.org·1d
👁️Computer Vision
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