MR Podcast: Our Favorite Models, Session 1
feeds.feedblitz.com·4h
🌱Minimal Schemes
Building a Command-Line Quiz Application in R
towardsdatascience.com·2d
💬Interactive REPLs
SafeTraffic Copilot: adapting large language models for trustworthy traffic safety assessments and decision interventions
nature.com·5h
🪜Recursive Descent
how to actually vibe code a complex project, as someone that doesn't know how to write a single line of code
threadreaderapp.com·9h
📚Self-Documenting Code
valuetier.org (and some thoughts on LLMs)
ericphanson.com·1d·
Discuss: Lobsters, Hacker News
📚Self-Documenting Code
Scrape Google Maps Reviews for London's Best Roast Dinner! (Part 1)
dev.to·4h·
Discuss: DEV
🏠indieweb
themactep/thingino-firmware firmware-2025-10-07
github.com·6h
📦Executable Size
Speak, Edit, Repeat: High-Fidelity Voice Editing and Zero-Shot TTS with Cross-Attentive Mamba
arxiv.org·11h
📝Rope Editors
I built a free, open-source alternative to Repo Prompt that lives inside VS Code
reddit.com·12h·
Discuss: r/ClaudeAI
📝Text Editors
GEO + SEO for Devs: Make Your Content Discoverable in Google and AI Engines
dev.to·10h·
Discuss: DEV
🎮Language Ergonomics
Implicit Models: Expressive Power Scales with Test-Time Compute
arxiv.org·11h
🌱Minimal ML
ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation
arxiv.org·11h
✨Gleam
The Engineering Scalability Crisis: Why Standard Code Structures Matter More Than Ever
dev.to·1d·
Discuss: DEV
🎭Program Synthesis
Scalable Ground Station Selection for Large LEO Constellations
arxiv.org·11h
🕸️P2P Protocols
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·9h·
Discuss: DEV
📐Standard ML
Java Backend Coding Technology: Writing Code in the Era of AI
central.sonatype.com·4d·
Discuss: DEV
🎮Language Ergonomics
Optimizing Python Loops for Speed and Memory Efficiency with Generators
dev.to·21h·
Discuss: DEV
🚀Code Motion
Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
arxiv.org·1d
📋Souffle Datalog
Mixture of Experts Implementation using Granite4: Harnessing Specialization with the Latest Granite Family Model
dev.to·2d·
Discuss: DEV
🔍ML Language
Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data
arxiv.org·11h
🗺️Region Inference