Court grapples with whether federal law supersedes negligent hiring claims against freight brokers
Updated on March 6 at 10:50 a.m. The Supreme Court on Wednesday heard argument in Montgomery v. Caribe Transport II, LLC, a case on whether federal law prevents state law […]The postCourt grapples with whether federal law supersedes negligent hiring...
Musk fails to block California data disclosure law he fears will ruin xAI
Musk can't convince judge public doesn’t care about where AI training data comes from.
AI startup sues ex-CEO, saying he took 41GB of email and lied on résumé
Hayden AI also claims co-founder improperly sold over $1.2M in stock.
Workers report watching Ray-Ban Meta-shot footage of people using the bathroom
Meta accused of "concealing the facts" about smart glass users' privacy.
Musk testifies tweet that led to $44 billion lawsuit "may not have been my wisest"
Elon Musk takes the stand in a San Francisco courtroom.
Microsoft, Google, Amazon say Anthropic Claude remains available to non-defense customers
Trump's Department of War feud with Anthropic won't impact other companies that are using Claude via Microsoft and Google products.
Anthropic’s Claude found 22 vulnerabilities in Firefox over two weeks
In a recent security partnership with Mozilla, Anthropic found 22 separate vulnerabilities in Firefox — 14 of them classified as "high-severity."
City Detect, which uses AI to help cities stay safe and clean, raises $13M Series A
City Detect, a company that helps local governments prevent urban decay, is in at least 17 cities so far, including Dallas and Miami.
After Europe, WhatsApp will let rival AI companies offer chatbots in Brazil
Meta is now allowing rival AI companies to provide their chatbots on WhatsApp to Brazilian users for a fee, a day after the company confirmed a similar decision for users in Europe.
Anthropic to challenge DOD’s supply-chain label in court
Anthropic CEO Dario Amodei said he plans to challenge the Department of Defense's designation of the AI firm as a supply-chain risk. He claims most Anthropic customers are unaffected by the label.
DiligenceSquared uses AI, voice agents to make M&A research affordable
Instead of relying on expensive management consultants, the startup uses AI voice agents to conduct interviews with customers of the companies the PE firms are considering buying.
It’s official: The Pentagon has labeled Anthropic a supply-chain risk
The Department of Defense has officially labeled Anthropic a supply-chain risk, making the AI firm the first American company with the label. Meanwhile, the DOD continues to use Anthropic's AI in Iran.
Luma launches creative AI agents powered by its new ‘Unified Intelligence’ models
Luma introduced Luma Agents, powered by its new “Unified Intelligence” models, designed to coordinate multiple AI systems and generate end-to-end creative work across text, images, video and audio.
Cursor is rolling out a new kind of agentic coding tool
Called Automations, the new system gives users a way to automatically launch agents within their coding environment, triggered by a new addition to the codebase, a Slack message, or a simple timer.
Meta sued over AI smart glasses’ privacy concerns, after workers reviewed nudity, sex, and other footage
Lawyers say Meta's marketing materials promised privacy and user control over sharing footage. But an investigation found that subcontractors are reviewing footage from customers' glasses.
Anthropic CEO Dario Amodei could still be trying to make a deal with Pentagon
Anthropic's $200 million contract with the Department of Defense broke down due to disagreements over giving the military unrestricted access to its AI.
How 1,000+ customer calls shaped a breakout enterprise AI startup
On this episode of Build Mode, David Park joins Isabelle Johannessen to discuss how he and his team are intentionally iterating, fundraising, and scaling Narada.
Lio raises $30M from Andreessen Horowitz and others to automate enterprise procurement
AI procurement startup Lio announced a $30 million Series A in a round led by Andreessen Horowitz.
Knowledge Graph and Hypergraph Transformers with Repository-Attention and Journey-Based Role Transport
arXiv:2603.03304v1 Announce Type: cross Abstract: We present a concise architecture for joint training on sentences and structured data while keeping knowledge and language representations separable. The model treats knowledge graphs and hypergraphs as structured instances with role slots and encodes...
TopicENA: Enabling Epistemic Network Analysis at Scale through Automated Topic-Based Coding
arXiv:2603.03307v1 Announce Type: cross Abstract: Epistemic Network Analysis (ENA) is a method for investigating the relational structure of concepts in text by representing co-occurring concepts as networks. Traditional ENA, however, relies heavily on manual expert coding, which limits its scalability...
M-QUEST -- Meme Question-Understanding Evaluation on Semantics and Toxicity
arXiv:2603.03315v1 Announce Type: cross Abstract: Internet memes are a powerful form of online communication, yet their nature and reliance on commonsense knowledge make toxicity detection challenging. Identifying key features for meme interpretation and understanding, is a crucial task. Previous work...
The Influence of Iconicity in Transfer Learning for Sign Language Recognition
arXiv:2603.03316v1 Announce Type: cross Abstract: Most sign language recognition research relies on Transfer Learning (TL) from vision-based datasets such as ImageNet. Some extend this to alternatively available language datasets, often focusing on signs with cross-linguistic similarities. This body of work...
Quantum-Inspired Self-Attention in a Large Language Model
arXiv:2603.03318v1 Announce Type: cross Abstract: Recent advances in Natural Language Processing have been predominantly driven by transformer-based architectures, which rely heavily on self-attention mechanisms to model relationships between tokens in a sequence. Similarly, the field of Quantum Natural Language Processing,...
A benchmark for joint dialogue satisfaction, emotion recognition, and emotion state transition prediction
arXiv:2603.03327v1 Announce Type: cross Abstract: User satisfaction is closely related to enterprises, as it not only directly reflects users' subjective evaluation of service quality or products, but also affects customer loyalty and long-term business revenue. Monitoring and understanding user emotions...
Benchmarking Legal RAG: The Promise and Limits of AI Statutory Surveys
arXiv:2603.03300v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) offers significant potential for legal AI, yet systematic benchmarks are sparse. Prior work introduced LaborBench to benchmark RAG models based on ostensible ground truth from an exhaustive, multi-month, manual enumeration of all...
The Logovista English-Japanese Machine Translation System
arXiv:2603.03311v1 Announce Type: new Abstract: This paper documents the architecture, development practices, and preserved artifacts of the Logovista English--Japanese machine translation system, a large, explicitly rule-based MT system that was developed and sold commercially from the early 1990s through at...
StructLens: A Structural Lens for Language Models via Maximum Spanning Trees
arXiv:2603.03328v1 Announce Type: new Abstract: Language exhibits inherent structures, a property that explains both language acquisition and language change. Given this characteristic, we expect language models to manifest internal structures as well. While interpretability research has investigated the components of...
PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning
arXiv:2603.03331v1 Announce Type: new Abstract: Photoplethysmography (PPG) is a widely used non-invasive sensing modality for continuous cardiovascular and physiological monitoring across clinical, laboratory, and wearable settings. While existing PPG datasets support a broad range of downstream tasks, they typically provide...
Training-free Dropout Sampling for Semantic Token Acceptance in Speculative Decoding
arXiv:2603.03333v1 Announce Type: new Abstract: Speculative decoding accelerates large language model inference by proposing tokens with a lightweight draft model and selectively accepting them using a target model. This work introduces DropMatch, a novel approach that matches draft tokens to...
A theoretical model of dynamical grammatical gender shifting based on set-valued set function
arXiv:2603.03510v1 Announce Type: new Abstract: This study investigates the diverse characteristics of nouns, focusing on both semantic (e.g., countable/uncountable) and morphosyntactic (e.g., masculine/feminine) distinctions. We explore inter-word variations for gender markers in noun morphology. Grammatical gender shift is a widespread...