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Let us filter AI slop, you cowards
Nobody should be subjected to seeing shrimp Jesus all over their social feeds. | Image: Cath Virginia / The Verge, Getty Images It's almost impossible to avoid seeing AI-generated content online, but it doesn't have to be this way.
Intellectual Humility as a Cognitive Filter for AI-Generated Health Misinformation. An Evolutionary Perspective on Epistemic Vigilance
arXiv:2606.03377v1 Announce Type: new Abstract: We present experimental findings from a study (N=99) examining how intellectual humility (IH), i.e., the metacognitive awareness of epistemic limitations, affects the evaluation of AI-generated health dialogues varying in scientific rigor. Participants were randomly assigned to evaluate one of three dialogues about exercise and mental health: scientifically accurate, moderately pseudoscientific, or strongly pseudoscientific. Results reveal that...
Bypassing Prompt Guards in Production with Controlled-Release Prompting
arXiv:2510.01529v3 Announce Type: replace Abstract: Ball et al. recently established that prompt filtering for AI alignment faces a fundamental barrier: under standard cryptographic assumptions, no filter running significantly faster than the protected model can universally distinguish adversarial prompts from benign ones. We investigate whether this impossibility result translates to real-world vulnerabilities in deployed large language model (LLM) systems. We answer affirmatively by...
MLSkip: Data Skipping for ML Filters via Lightweight Metadata
arXiv:2606.03946v1 Announce Type: new Abstract: Database vendors recently released AI functions that can be used in filter predicates. As such functions often rely on costly, black-box ML models, they unveil new data management challenges. Concretely, traditional data skipping techniques for integer and string data fail to be applicable to the new filter type.
UK's answer to AI job fears is a bot to polish your CV
The UK government is about to unleash an AI-powered CV writer on jobseekers in the hope that the technology taking jobs can also help people to find them. Prime minister Keir Starmer used London Tech Week to announce a three-month trial of an "AI Work Assistant" that officials say will put "a job centre in your pocket," offering around-the-clock help with CV writing, applications, job searches, and career advice. The service is already live online, though the government would like users to...
Larch: Learned Query Optimization for Semantic Predicates
Announce Type: new Abstract: With the advent of Large Language Models (LLMs), many database systems introduced semantic operators that enabled analytical queries over unstructured data (e.g. text, images, videos). Semantic operators typically incur high inference costs and latencies making semantic (AI) SQL queries challenging to apply on large scale datasets. At the same time, their semantic nature leads database engines to treat them as black boxes, making AISQL queries difficult to optimize.
Commvault says it's time to rethink resiliency as AI crooks leave victims in a 'dark, dead' state
AI-enabled cybercriminals have better tools and are inflicting more pain on their victims, wiping out virtual machines and hypervisors and leaving infrastructure in a "dark, dead" state after an attack, said Commvault Chief Technology Officer Brian Brockway. "The majority of cyber cases that we've seen in the customer base have moved well beyond the breaking inside, and encrypting and corrupting some of your key files and folders, to taking over control of your entire VM environment, wiping...
MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts
arXiv:2509.12440v3 Announce Type: replace Abstract: Deploying Large Language Models (LLMs) in medical applications requires fact-checking capabilities to ensure patient safety and regulatory compliance. We introduce MedFact, a challenging Chinese medical fact-checking benchmark with 2,116 expert-annotated instances from diverse real-world texts, spanning 13 specialties, 8 error types, 4 writing styles, and 5 difficulty levels. Construction uses a hybrid AI-human framework where iterative...
Be less polite: How to cut your AI impact as UN report reveals data centre energy use rivals nations
"That extra ‘please’ you put there can make a huge difference,” says one of the report's authors. The environmental footprint of data centres already rivals some of the world's largest countries, according to a United Nations University report released on 3 June. Their water use, energy use and pollution is predicted to double in just four years as use of artificial intelligence grows.
UN calculates nation-sized environmental footprints for AI and data centers
UN calculates nation-sized environmental footprints for AI and data centers Andrew Zinin Lead Editor The environmental footprint of data centers already rivals some of the world's largest countries, according to a United Nations University report, which also predicts their water and energy use and pollution will double in just four years as use of artificial intelligence grows. Last year, global data centers used 448 trillion watt-hours of electricity, more than all but 10 countries of the...