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SLUUG Talk: Demystifying Large Language Models on Linux

 🤖Machine Learning  Content type: Code
github.com··DEV

Fine tuning classification in Elixir

 🤖Machine Learning
elixirstatus.com·

Using Probabilistic Programs to Train Inductive Reasoning in Large Language Models

 🤖Machine Learning  Content type: Academic
arxiv.org·

Inferoa AI harness claimed 90% cache savings. We ran it and measured 97.8%

 📈Optimization
zozo123.github.io··Hacker News

Why LLMs (still) lack taste

 🤖Machine Learning

BacteReason: A Reasoning Model for Antimicrobial Resistance Prediction

 🤖Machine Learning  Content type: Academic
biorxiv.org·

NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI

 🧠Deep Learning  Content type: Blog
blogs.nvidia.com·

LeLab Is Hugging Face’s New Browser-Based GUI for the LeRobot Ecosystem

 👁️Computer Vision  Content type: News
hackster.io·

Siri AI at WWDC 2026

 🤖Machine Learning

Machine Unlearning: Can Artificial Intelligence Really Forget?

 🤖Machine Learning  Content type: Blog
medium.com·

FOD#155: Continual Learning in LLMs: Why AI Models Need Sleep

 🤖Machine Learning
turingpost.com·

Using local LLMs for agentic coding

 🤖Machine Learning  Content type: Blog
blog.alexewerlof.com·

Microsoft just shared the frontier data engineering secrets

 🤖Machine Learning
mail.bycloud.ai·

Coelho Mollo and Millière: The Vector Grounding Problem

 🤖Machine Learning

Intro — Sehastrajit

 🤖Machine Learning  Content type: Blog
medium.com·

What's in the Box? A Field Guide to AI Models

 📐Linear Algebra  Content type: Blog
iankduncan.com·

Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation

 🤖Machine Learning
aermia.com··Hacker News

New comment by Ishan1907 in "Ask HN: Who wants to be hired? (June 2026)"

 📊Data Science

MOT: a tool to fight openwashing in AI

 🤖Machine Learning
lwn.net·

Sim2Schedule: A Simulator-Guided LLM Framework for Autonomous Open-Pit Mine Scheduling

 📈Optimization  Content type: Academic
arxiv.org·

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