ai Sep 21 APort Vault: Benchmarking AI Agent Payment Authorization with the Open Agent Passport The Authorization Gap: What Stops an AI Agent from Sending Money Where It Shouldn't Every payment-capable AI agent has two things: a tool that moves money, and a policy that says where the money can go. An attacker talks to the ag... machine learning Sep 21 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... machine learning Sep 21 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... machine learning Sep 21 $λ$-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... machine learning Sep 21 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... machine learning Sep 21 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... ai Sep 20 Show HN: jevals – replacing LLM judges with typed Jev decisions Most teams evaluate their AI agents on a tiny fraction of production traffic because the LLM judge is both slow and expensive. OpenLayer AI released jevals, an open-source Python framework that packs every quality, safety, and sec... ai Sep 20 Ask HN: Do we still need code editors, or are Git clients enough? A Hacker News thread from this week asks a question that cuts at the center of how AI is reshaping developer tooling: if AI writes the code and git tracks the changes, what exactly is the code editor for? The workflow shift The or... ai Sep 20 Ask HN: How have NLP researchers adapted since LLM disrupted their field When GPT-2 dropped in 2019 and GPT-3 followed in 2020, NLP was the first field to face a question that has since spread to computer vision, theorem proving, code generation, and protein folding: if a large language model can do th... programming languages Sep 20 Building a genomic primitives library in Rust: the why and how Genomic software has a subtle bug class that has haunted bioinformatics for years: coordinate system mismatches. A one-based position from one library silently becomes zero-based in another, shifting every result by a single nucle...