🔢 algo - hello · Scour

Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection

arxiv.org·8h

🧠Machine Learning

CoRefine: Confidence-Guided Self-Refinement for Adaptive Test-Time Compute

arxiv.org·8h

🚀Superoptimization

The Immutable Ledger: Data Integrity Through TypeScript & Design Patterns

dev.to·10h·

Discuss: DEV

🌳Merkle Trees

Excel Forever - by Marc Rubinstein

netinterest.co

·2d

💰TigerBeetle

How I Built My Project in Haskell

dev.to·2d·

Discuss: DEV

👻Phantom Types

Performance Tip of the Week #79: Make at most one tradeoff at a time

abseil.io·2d

LLMs Are Prediction Machines

kaelandt.github.io·1d·

Discuss: Hacker News

💬Prompt Engineering

Grumpy Julio plays with CLI coding agents

jmmv.dev·20h·

Discuss: Lobsters, Hacker News

Claude Opus 4.6: System Card Part 1: Mundane Alignment and Model Welfare

lesswrong.com·16h

🔐Capability Systems

Four Godot+Rust tricks

blog.lokkij.com·2d

Logistic Regression, Average Marginal Effects, and the Linear Probability Model - Part II: Coefficients and AMEs of nested models

elff.eu·3d

⚡Polars Expression API

What I haven't figured out

macwright.com·2d·

Discuss: Hacker News

📝Write-Ahead Logging

tzcnt/TooManyCooks: C++20 concurrency framework with no compromises. Excellent performance, powerful features, and simple syntax.

github.com·1d

🎆Firecracker

Building LLMs in Resource-Constrained Environments: A Hands-On Perspective

infoq.com·1d

💬Prompt Engineering

Puzzle Potential

jhyde.itch.io·2d

🔲Cellular Automata

ggml: backend-agnostic tensor parallelism by JohannesGaessler · Pull Request #19378

github.com·4d·

Discuss: r/LocalLLaMA

I Let AI Agents Train Their Own Models. Here's What Actually Happened.

hamzamostafa.com·1d·

Discuss: Hacker News

💬Prompt Engineering

Thread by @cirnosad on Thread Reader App

threadreaderapp.com·1d

📈Differential Dataflow

Grace Hopper's Revenge

thefuriousopposites.com·2d

Anthropics Compiler Challenge

corsix.org·2d

🌳Instruction Selection

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