AI & Technology Law

Hackers claimed the attack was retaliation after Patel vowed to "hunt" them.

In a letter, senators press for mandated annual electricity disclosure for data centers.

Bluesky’s new app Attie uses AI to help people build custom feeds the open social networking protocol atproto.

While there’s been plenty of debate about AI sycophancy, a new study by Stanford computer scientists attempts to measure how harmful that tendency might be.

All but two of Musk's 11 xAI co-founders departed before this week.

Estimates for total Claude consumer users are all over the map (we've seen figures ranging from 18 million to 30 million). Anthropic hasn't disclosed this data, but a spokesperson did tell TechCrunch that Claude paid subscriptions have more than doubled...

Wall Street giants JPMorgan and Goldman Sachs are extending a 12-month, unsecured loan to the Japanese conglomerate.

SK hynix’s potential U.S. listing could raise $10-$14 billion to help it build more capacity, encourage others to follow, and end the 'RAMmageddon' memory shortage.

When an 82-year-old Kentucky woman was offered $26 million from an AI company that wanted to build a data center on her land, she said no. Sure, that same company can try to rezone 2,000 acres nearby anyway, but as...

When an 82-year-old Kentucky woman was offered $26 million from an AI company that wanted to build a data center on her land, she said no. Sure, that same company can try to rezone 2,000 acres nearby anyway, but as...

Sacks will be much further from the power center in Washington than since the outset of this second Trump administration.

A federal judge has ordered that the Trump administration rescind recent restrictions it placed on the AI company.

The site, whose policies are subject to change, has struggled with the issue of AI-generated writing.

Senators Josh Hawley and Elizabeth Warren want the Energy Information Administration to gather more details about how data centers use power — and how that affects the grid.

The new model in CapCut will have built-in protections for making video from real faces or unauthorized intellectual property.

Conntour uses AI models to let security teams query camera feeds using natural language to find any object, person, or situation.

Relatively light at just 2 billion parameters, the model is meant for use with consumer-grade GPUs for those who want to self-host it. It currently supports 14 languages.

Fears of AI-driven job loss are growing fast, and they’re fueling backlash against data centers. Sen. Mark Warner suggests taxing them to help workers survive the transition.

The model, which lets enterprises build voice agents for sales and customer engagement, puts Mistral in direct competition with the likes of ElevenLabs, Deepgram, and OpenAI.

arXiv:2603.23526v1 Announce Type: new Abstract: The growing publication rate of research papers has created an urgent need for better ways to fact-check information, assess writing quality, and identify unverifiable claims. We present Plato's Cave as an open-source, human-centered research verification...

arXiv:2603.23510v1 Announce Type: new Abstract: As multimodal language models (MLMs) are increasingly used in social and collaborative settings, it is crucial to evaluate their perspective-taking abilities. Existing benchmarks largely rely on text-based vignettes or static scene understanding, leaving visuospatial perspective-taking...

arXiv:2603.23511v1 Announce Type: new Abstract: Document intelligence requires accurate text extraction and reliable reasoning over document content. We introduce \textbf{DISCO}, a \emph{Document Intelligence Suite for COmparative Evaluation}, that evaluates optical character recognition (OCR) pipelines and vision-language models (VLMs) separately on...

arXiv:2603.23513v1 Announce Type: new Abstract: Commercial AI scribes cost \$99-600 per physician per month, operate as opaque systems, and do not return data to institutional infrastructure, limiting organizational control over data governance, quality improvement, and clinical workflows. We developed Berta,...

arXiv:2603.23521v1 Announce Type: new Abstract: Multimodal research has predominantly focused on single-image reasoning, with limited exploration of multi-image scenarios. Recent models have sought to enhance multi-image understanding through large-scale pretraining on interleaved image-text datasets. However, most Vision-Language Models (VLMs) are...

arXiv:2603.23525v1 Announce Type: new Abstract: The economics of prompt compression depend not only on reducing input tokens but on how compression changes output length, which is typically priced several times higher. We evaluate this in a pre-registered six-arm randomized controlled...

arXiv:2603.23515v1 Announce Type: new Abstract: Improving the accuracy and reliability of medical coding reduces clinician burnout and supports revenue cycle processes, freeing providers to focus more on patient care. However, automating the assignment of ICD-10-CM and CPT codes from clinical...

arXiv:2603.23534v1 Announce Type: new Abstract: This paper describes my submission to the Polarization Shared Task at SemEval-2025, which addresses polarization detection and classification in social media text. I develop Transformer-based systems for English and Swahili across three subtasks: binary polarization...

arXiv:2603.23624v1 Announce Type: new Abstract: Digging-in effects, where disambiguation difficulty increases with longer ambiguous regions, have been cited as evidence for self-organized sentence processing, in which structural commitments strengthen over time. In contrast, surprisal theory predicts no such effect unless...

arXiv:2603.23821v1 Announce Type: new Abstract: Linguistic representation learning in deep neural language models (LMs) has been studied for decades, for both practical and theoretical reasons. However, finding representations in LMs remains an unsolved problem, in part due to a dilemma...