📊 Optimization - gautam6599123

Forgis-Labs/HEPA: HEPA: Self-supervised horizon-conditioned event predictive architecture for time series. Spotlight at FMSD @ ICML 2026.

🧠Deep Learning Code

github.com··Hacker News

LLM are universal simulators

🗣️Large Language Models

invertedpassion.com··Hacker News

Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

🎯Optimization Theory

aarushgupta.io··Lobsters, Hacker News

Aligning Superintelligent Humans

🔥PyTorch

lesswrong.com·

Gram Newton-Schulz: A Fast, Hardware-Aware Newton-Schulz Algorithm for Muon

📐Linear Algebra Blog

tridao.me··Hacker News

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

🤖AI News

spectrum.ieee.org

··Hacker News

The sample efficiency black hole

🗣️Large Language Models News

dwarkesh.com··Hacker News

I open-sourced my UFC prediction model, code, and database after 5 years of work

🤖AI

mcinerney.ai··Hacker News

Why Compiler Engineers Rarely Use Strassen's Algorithm for Fast Matrix Multiplications

💻Computer Science News Blog

leetarxiv.substack.com··Substack, r/programming

From Jupyter Notebook to production: How to ship AI systems that actually work

🐍Python

thenewstack.io··Hacker News

Less-relevant results

The Untrainable

🎯Optimization Theory News Blog

saranormous.substack.com··Substack

Vibe Diaries: Training Nanochat

🤖AI

vibediary.dev··Hacker News

The Loop That Improves Almost Anything

∂Automatic Differentiation Blog

mentalfaculty.com··Hacker News

A one-parameter model that gets 100% on ARC-AGI-2

🧠Neural Networks

eitanturok.github.io··Hacker News

Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters

🎯Optimization Theory Academic

arxiv.org·

Unpacking AI: The Hardware Behind AI

🤖AI News

pathtostaff.com··Hacker News

Optimal Seating on the Airbus A380

🐍Python Blog

tech.marksblogg.com··Hacker News

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.

📈Statistical Learning Code

github.com··Hacker News

Multilevel Stochastic Gradient Descent for Risk-Averse PDE-Constrained Optimization

Sakana AI's Recursive Self-Improvement (RSI) Lab

Forgis-Labs/HEPA: HEPA: Self-supervised horizon-conditioned event predictive architecture for time series. Spotlight at FMSD @ ICML 2026.

LLM are universal simulators

Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

Aligning Superintelligent Humans

Gram Newton-Schulz: A Fast, Hardware-Aware Newton-Schulz Algorithm for Muon

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

The sample efficiency black hole

I open-sourced my UFC prediction model, code, and database after 5 years of work

Why Compiler Engineers Rarely Use Strassen's Algorithm for Fast Matrix Multiplications

From Jupyter Notebook to production: How to ship AI systems that actually work

The Untrainable

Vibe Diaries: Training Nanochat

The Loop That Improves Almost Anything

A one-parameter model that gets 100% on ARC-AGI-2

Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters

Unpacking AI: The Hardware Behind AI

Optimal Seating on the Airbus A380

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.