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PyTorch Written in C
Thevoxium published bare-lm, a minimal autograd tensor library written in C. The library implements automatic differentiation, common neural network layers, and optimizer updates in roughly 256 MB of arena-allocated memory, with z...
An Introduction to Compression-Based Machine Learning
A paper submitted to arXiv on September 18 presents a framework for building machine learning classifiers directly from lossless compression algorithms. The core idea is older than modern deep learning, but the authors argue it ha...
Per-Layer Embeddings (PLE)
Google's Gemma 4 small models, the E2B and E4B variants, use a technique called per-layer embeddings that exploits a gap between parameter count and compute cost. The "E" in the model names stands for "effective." Gemma 4 E2B list...
Ask HN: Is provider KV caching sufficient for agent swarms and long run agents?
The article is ready. Here is the rewritten piece: Inference providers manage KV caches automatically, and for simple request-response workloads that is fine. For agent swarms and long-running agents, it is a bottleneck. A develop...
OmniVBench: A Benchmark and Large-Scale Dataset for Omni Reference-to-Video Generation
When Video Generation Needs to Listen to More Than Words Text-to-video models have gotten good at translating prompts into motion. But professional creative work rarely starts from a blank slate. A designer hands you a character s...
Available Guardrails: Certifying Selective Prediction across ML Systems
The Safety Gate That Can't Get a Certificate Modern AI systems hide a quiet failure mode. A model may be perfectly capable, but the deployment team cannot prove it. The problem surfaces when a selective predictor, one that outputs...
$λ$-Controlled GRPO: Turning Flow-Matching Ratio Instability into a Budgeted Resource
The Instability Problem in Flow-Matching RL for Image Generation Reinforcement learning has become the standard tool for aligning language models with human preferences, and it is now extending rapidly to image generation. The cor...
COMPLEX: A Closed-Form Certified Embedding of Multiparameter Persistence Modules
Why Every Multiparameter Persistence Feature Map Lies About Its Geometry Topological data analysis extracts shape from data: clusters, loops, voids, and their higher-dimensional analogs. The standard tool is persistent homology, w...
Abstention and Noise Filtering: Two Missing Primitives of Softmax Attention
Why Value Gating Works in Attention Has Been a Blind Men and the Elephant Problem Gating the value pathway of attention has become a popular trick in language model pretraining. A series of recent papers report that adding a learn...
Embedding Models Measure in Peculiar Ways
When you type "2 kilometers" and "2000 meters" into a sentence embedding model, the cosine similarity between them should be nearly 1.0. After all, they denote the same physical quantity. A well-functioning semantic measurement sp...