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Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data
A Hypernetwork That Writes User Data Into Model Weights During a Conversation Language models are frozen after training. When a user supplies facts, gives corrections, or establishes preferences during a conversation, that knowled...
MSVC C++23: constexpr cmath with LLVM Libc
MSVC Replaces Its Math Library With LLVM Libc for C++23 Constexpr Evaluation When you call std::sin in a C++ program on Windows, the function comes from the Universal C Runtime. The UCRT is maintained by the Windows OS team, not t...
Show HN: Die With Me – Claude and Codex rate limits as AIM away messages
Die With Me Turns AI Token Limits Into a Social Experience Running out of tokens used to be a solitary frustration. You hit your Claude Code limit mid-refactor, stared at the error message, and waited. Now there is an app that tur...
A Zeroth-Order Paradigm for LLM Preference Alignment
The Likelihood Displacement Problem in Preference Alignment Training large language models to follow human preferences has become a core bottleneck in shipping reliable AI systems. Reinforcement learning from human feedback (RLHF)...
AgentLSD: Evaluating AI Security Agents Under Adversarial Task Contamination
When Security Agents Meet Deceptive Environments AI agents that handle security tasks do not operate in clean, trustworthy environments. They browse web pages, parse source code, read log files, and inspect configuration output. E...
Dreaming the Sound of Contact: Leveraging Video and Audio Generation for Zero-Shot Force-Aware Manipulation and Data Generation
Why Generated Video Alone Fails at Contact-Rich Manipulation Video generation models have opened a new path for robot learning. Instead of teleoperating a robot hundreds of times to collect demonstrations, you can generate a video...
Probabilistic Linear Explanations
When a machine learning model denies someone a loan or flags a medical scan, the most natural question is "why?" Formal explainability has spent years trying to answer that question with mathematical rigor. The dominant approach f...
Double descent is the principle of least action
The double descent phenomenon is one of the most counterintuitive findings in modern machine learning. Train a model with a small number of parameters and test error falls as you add more, following the classical bias-variance cur...
My website charged AI agents a penny per page. I watched Claude pay it
Google started paying some publishers this month when their content feeds AI answers. The programme, called the AI contribution pilot, was reported by Digiday on 14 September and confirmed by Google. Publishers get a monthly earni...
vLLM: Jev-like mode for the DiffusionGemma model
vLLM, the inference engine with over 91,000 GitHub stars, has a pull request that adds structured generation support for DiffusionGemma, a diffusion-based language model from Google. The PR also fixes a concurrency bug that crashe...