At AI Summit, South Korea Outlines Its AI Future With NVIDIA and Partners
At this week’s AI Summit in San Francisco, South Korean President Jae Myung Lee and some of the country’s top business leaders and researchers are meeting with NVIDIA and ecosystem partners to chart Korea’s AI progress. Building on NVIDIA founder and CEO Jensen Huang’s visit to Korea last month, thi...
DataPrep-Bench: Benchmarking LLMs as Training Data Preparators
arXiv:2607.20465v1 Announce Type: new
Abstract: The quality of training data fundamentally determines the capabilities of large language models (LLMs), yet no unified benchmark exists to measure how well LLMs, agents, and data-centric workflows actually prepare training data end to end. We view LLM...
PhantomFill: When the Form Demands an Answer, Language Models Invent One
arXiv:2607.20492v1 Announce Type: new
Abstract: Language models in production do not write prose. They fill forms: JSON fields, function arguments, extraction templates. We show that the form itself causes hallucination.
We ask thirteen models the same question about the same input and change onl...
Scaling Closed-Loop Feature Channel Configuration with LLMs
arXiv:2607.20516v1 Announce Type: new
Abstract: Promising initial results in closed-loop large-language-model-based channel-configuration search demonstrated that neural-network widths can be optimized directly through executable code generation and accuracy feedback. However, those results were ob...
PhD student Lauren Fortier is building on the experience she gained operating a nuclear plant for the Navy to solve a critical hurdle in the wider adoption of the energy source.
AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics
arXiv:2607.20452v1 Announce Type: new
Abstract: Modern software quality assurance demands intelligent, autonomous systems capable of adaptive decision-making across distributed cloud environments. This paper presents AINTMA (Agentic Intelligent Test Management Architecture), a multi-agent agentic A...
Marking the Wrong Symptoms: Evaluating LLM Watermarks in Medical Texts
arXiv:2607.20462v1 Announce Type: new
Abstract: Large language models (LLMs) are increasingly integrated into clinical workflows, stressing the need for reliable traceability of model-generated output with watermarking. Yet, most watermarks are evaluated on general-purpose benchmarks, leaving domai...
ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models
arXiv:2607.20463v1 Announce Type: new
Abstract: This paper presents an AI-driven browser extension that identifies clickbait to help users avoid misleading Internet articles. Moving beyond traditional detection, the application employs a hybrid machine learning architecture that combines transforme...
Stochastic Sampling is Epistemically Shallow: The Dimensionality Gap Between Temperature Variation and Model Diversity in LLMs
arXiv:2607.20464v1 Announce Type: new
Abstract: When a language model gives different answers on repeated runs, does that variation reveal what it does not know? Self-consistency turns the variation into a per-question uncertainty estimate via majority voting. But does the same variation reveal cro...
arXiv:2607.20466v1 Announce Type: new
Abstract: Rigorous benchmarks have driven progress in autonomous GPU kernel performance optimization by establishing a shared target to hillclimb on, but no equivalent exists for TPUs. We present JAXBench, a TPU-native benchmark suite for AI-generated kernel op...
How AI guardrails are impeding the work of offensive cybersecurity researchers
We spoke with several cybersecurity researchers, who look for unknown vulnerabilities and develop tools to exploit them, about how OpenAI’s and Anthropic’s guardrails affect their work.
LEAD: Breaking the No-Recovery Bottleneck in Long-Horizon Reasoning
Long-horizon execution in Large Language Models (LLMs) remains unstable even when high-level strategies are provided. Evaluating on controlled algorithmic puzzles, we demonstrate that while decomposition is essential for stability, extreme decomposition creates a “no-recovery bottleneck”. We show th...
Policymakers, academics, healthcare providers, AI developers, and patient advocates convened by Stanford HAI identify critical gaps in how we regulate AI tools used for therapy and emotional support.
Andrew Ng Just Released OpenWorker: An Open-Source, Local-First Desktop AI Coworker That Returns Finished Deliverables Instead of Chat
Andrew Ng has released OpenWorker, an MIT-licensed desktop AI agent that returns finished deliverables instead of chat replies. It runs a local Python agent server under a Tauri shell, supports 30 curated tool-calling models plus fully local Ollama, and gates every write, shell command and off-machi...
You Probably Won’t Read This Article…and That’s OK
“Help! There are too many [LLM bug reports, blog posts about LLM bug reports, books, treatises, codices, scrolls, papyri, cuneiform tablets]! How do I choose which to read?” —Many people, presumably Stop there! If you are reading this, ask yourself how you got here. Did Substack’s algorithm recomme...
The line in the response object You call the API. You pass model: “claude-fable-5”. You get back a completion, a token count, and a field that reads “model”: “claude-opus-4-8”. Nothing errored. Nothing retried. The request was classified before generation began, matched a sensitive category, and was...
Runway launches AI model router as generative media gets crowded
Runway no longer wants to be just another AI model company. It wants to become the infrastructure layer for generative media. On Thursday, the startup launched Runway Media Router through Runway Dev, its developer platform, released earlier this month, that provides API access to a growing roster of...
The first expensive agent run doesn’t look like a governance problem. It looks like a billing problem. A team opens its first agent invoice after the meter turns on, sorts the runs by cost, and finds one that cost 40 times the median. The provider meter shows tokens and a total. The application logs...
AI chip startup Etched defies skeptics, hits $10.3B valuation from big-name investors
Etched, founded by three Harvard dropouts, has created new chips and memory components that speed up inference on any AI model -- no GPUs required, it says.
Most RAG Hallucinations Are Extraction Errors: Seven Patterns for a Typed Generation Contract
Enterprise Document Intelligence [Vol.1 #8ter] - Naming the RAG error correctly matters: model reads the context, so a wrong answer is an extraction error, not a hallucination. Seven typed-contract patterns keep the generation brick honest, with a decomposition rule for small models
The post Most RA...
OmniVoice Studio is built on a premise that everything runs on your hardware. Voice cloning, video dubbing, real-time dictation, voice design, all of it local, all of it free for personal use, no API key required, no usage counter.
StrongestLayer Raises $9.3M Total Seed to Combat AI Email Attacks
New round led by Inovia Capital backs a reasoning-based architecture designed for attacks that bypass traditional email security StrongestLayer, the AI-native email security company, today announced it has raised $4.1 million in new funding, bringing total seed funding to $9.3 million. The round was...