🌱 Minimal ML - abnv · Scour

Built an AI monologue search after years of personal frustration

actorrise.com·2h·

Discuss: r/SideProject

💬Interactive REPLs

Applications of AI in Medicine

online.stanford.edu·58m

✨Effect Inference

Tuesday 17 February 2026 | IML

informatics.ed.ac.uk·19h

🪜Recursive Descent

Generative Type experiments

brendandawes.com·2d

🤖Code Generation

Show HN: I built an AI executive assistant you use through iMessage

getattache.com·15h·

Discuss: Hacker News

💬Smalltalk VMs

Moltis: a personal AI assistant built in Rust

pen.so·43m

🚂Cranelift Backend

The Mechanics of Autonomous Software Translation

alperenkeles.com·1d

🚀Code Motion

How I Used Claude Code to Teach Myself Rust

mlolson.github.io·16h·

Discuss: Hacker News, r/programming

🏗️Cranelift

Custom ESLint rules as AI guardrails: turning repeated mistakes into structural impossibilities

jw.hn·1d·

Discuss: Hacker News, r/SoftwareEngineering, r/coding, r/node, r/typescript

✅Configuration Validation

Semantic alignment of the German Human Genome-Phenome Archive metadata model in Europe’s genomics field

nature.com·19h

✨Effect Inference

Software at the speed of AI

infoworld.com·23h

🎭Program Synthesis

Part 1 - AI Chat Evaluation of the Formal Language in He Xin's PEPC System

news.ycombinator.com·16h·

Discuss: Hacker News

🤖Abstract Machines

The development and evaluation of agricultural question-answering systems based on large language models

nature.com·2d

MacrOData: New Benchmarks of Thousands of Datasets for Tabular Outlier Detection

arxiv.org·1d

📊DataFrame Types

What I’m Learning in Data Structures: The Algorithm Behind Compression (bzip, etc.)

dev.to·8h·

Discuss: DEV

📦Compression Algorithms

What's the most fun programming language to learn?

programming.dev·4h

💬Interactive REPLs

How to Leverage NER and Advanced NLP Techniques for Life Sciences

pub.towardsai.net

·4h

🧠Semantic Parsing

The Seven Qualification Tests for an AI Scientist

hackernoon.com·17h

⚖️Inference Rules

Stephen-Seo/SimpleArchiver 2.6.2

github.com·1d

🗺️Stack Mapping

M-Loss: Quantifying Model Merging Compatibility with Limited Unlabeled Data

arxiv.org·2d

🗺️Region Inference

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