AI (Artificial Intelligence Research)

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Scoured 61 posts in 5.9 ms

ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.

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

Apple WWDC On-Device AI Deep Dive - Google Docs

 🤖Machine Learning
gist.is··Hacker News

Profiling in PyTorch (Part 2): From Nn.Linear to a Fused MLP

 🤖Machine Learning  Content type: Blog

Why the AI Renaissance Keeps Not Arriving (and why it won't under the current post-training regime)

 🤖Machine Learning  Content type: News  Content type: Blog

DiffusionGemma: The Developer Guide- Google Developers Blog

 🔍Vector Databases  Content type: Blog

DeepSeekV4 1.6T Day 0 to Day 43 Performance Over Time - Huawei, GB300 NVL72, MI355X, B200

 🤖Machine Learning  Content type: News

DiffusionGemma: 4x Faster Text Generation

 🔍Vector Databases  Content type: News  Content type: Blog  19 sources covering this post

Mbodi AI (YC P25) Is Hiring Founding Machine Learning Engineer (Robotics)

 🤖Machine Learning

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

Infinite Data Generation for Robotic AI

 🌍Distributed Systems
luckyrobots.com··Hacker News

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

 🤖Machine Learning  Content type: News

Research Is Not Engineering at a Slower Speed

 🤖Machine Learning

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

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

Don't let the LLM speak, just probe it (8 minute read)

 ⚔️Adversarial ML  Content type: Blog

Tokenminning: Because Tokenmaxxing Is a Bad Idea

 ⚔️Adversarial ML

Running Qwen 35B MoE at 450k Context on a Single 32GB GPU

 📊Observability

Introducing Piper: A Programmable Distributed Training System

 🤖Machine Learning  Content type: Academic  Content type: Blog

"North Mini Code"; open weights, 30B param, Canadian coding model

 🌍Distributed Systems  Content type: Blog

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