AI (Artificial Intelligence Research)

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Framework Desktop AMD 395+ (rdna 3.5) cannot run confyui err Fix 2026

 🤖Machine Learning  Content type: Blog
runaihome.com··DEV

Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent

 🤖Machine Learning  Content type: News

generic JavaScript deobfuscator built as a compiler

 🔍Vector Databases
devirt.dev··Hacker News

Intro — Sehastrajit

 🤖Machine Learning  Content type: Blog
medium.com·

Stop hand-tuning kernels: How Neuron Agentic Development accelerates AWS Trainium optimizations

 🤖Machine Learning  Content type: Blog
aws.amazon.com·

The Bill Arrives: How to Manage Agentic AI Costs at Scale

 ⚔️Adversarial ML  Content type: Blog
cockroachlabs.com·

The Transformer Architecture: A Step-by-Step Guide

 ⚔️Adversarial ML  Content type: Blog

DiffusionGemma: The Developer Guide- Google Developers Blog

 🔍Vector Databases  Content type: Blog

Surprise upset: GPT-5.5 beats Claude Fable 5 on brutal new Agents’ Last Exam benchmark

 ⚔️Adversarial ML
venturebeat.com·

China's Xiaomi MiMo Is Now 15X Faster Than ChatGPT and Claude (4 minute read)

 🤖Machine Learning  Content type: News

Loss Landscape Diagnosis for Gradient-Based Gray-Scott System Inversion: Disentangling the Roles of PINN Components

 🤖Machine Learning  Content type: Academic
arxiv.org·

Issue #390 - The ML Engineer 🤖

 🤖Machine Learning  Content type: News  Content type: Blog

AI #172: The First Fable

 📊Observability  Content type: Blog

Infinite Data Generation for Robotic AI

 🌍Distributed Systems
luckyrobots.com··Hacker News

Pythia 1.4B reproduces 3.6% of training samples verbatim given 950-token prompts

 🤖Machine Learning  Content type: Blog
ret2libc.com··Hacker News

Introducing North Mini Code: Cohere’s First Model For Developers

 ⚔️Adversarial ML  Content type: Blog  3 articles covering this post

12B Gemma 4 QAT Deployment with NVIDIA L4, Cloud Run, MCP, and Antigravity CLI

 🤖Machine Learning  Content type: Blog
medium.com
·

john-rocky/coreai-model-zoo: Community model zoo + knowledge base for Apple Core AI (iOS/macOS 27): Qwen3.5 & Gemma 4 converted end-to-end, verified on-device (iPhone 17 Pro GPU/ANE), conversion gotchas, custom Metal kernels, Swift runner

 🤖Machine Learning  Content type: Code
github.com··Hacker News

Lightweight CNN SE transformer for robust weed classification with optimizer aware performance

 🤖Machine Learning  Content type: Academic
nature.com·

Tokenminning: Because Tokenmaxxing Is a Bad Idea

 ⚔️Adversarial ML
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