Audio
What if you could say, “warm it up for a chill evening” or “crisper vocals for a noisy cafe,” and your system dialed in the perfect EQ—no sliders, no presets? This study introduces an LLM-powered equalizer that translates natural-language prompts into audio EQ settings. Trained with data from controlled
AI
Who controls what we see online shapes what we believe—and who holds power. A new paper warns that today's information platforms are vulnerable to authoritarian capture, turbocharged by AI persuasion and Big Tech dominance. Drawing on Paulo Freire's emancipatory pedagogy, the authors argue for a
What they studied As newsrooms adopt AI, researchers tested how different disclosure levels affect readers' trust and behavior. * 40 people read politics and lifestyle articles with no, one-line, or detailed AI disclosures; AI help was low or high. * They measured trust, source-checking, and subscription choices, plus ran interviews. What
AI that spots supply chain shocks in minutes Most companies can’t see beyond their Tier‑1 suppliers, so upstream crises hit without warning. This study unveils an agentic AI system that continuously scans the world for disruption signals and traces their impact across deep-tier networks. * Reads unstructured news and
Pathologists read H&E-stained slides; researchers capture fluorescent “glow” images. This study shows how AI can translate between them so everyone sees the same story. Using a CycleGAN (a type of image-to-image translation model), the method turns multi-channel fluorescence microscopy into convincing, H&E-like images—without needing perfectly
AI
Leaderboards drive Text-to-SQL progress—but what if the test sets are wrong? This study audits two popular benchmarks and finds widespread annotation errors that can flip who looks best. * Error rates: 52.8% in BIRD Mini-Dev, 62.8% in Spider 2.0-Snow. * After correcting a BIRD Dev subset, open-source agents
AI
Can AI ship real software? Meet APEX-SWE, a new benchmark that tests whether frontier AI models can do economically valuable software engineering—not just toy coding puzzles. * Integration tasks (n=100): build end-to-end systems across cloud primitives, business apps, and infrastructure-as-code. * Observability tasks (n=100): debug production failures using logs,
LLMs
Can we make peer review fairer by rating reviewers like chess players? This study simulates a conference where multiple LLM agent reviewers with distinct personas evaluate papers across several rounds, guided by an Area Chair (AC). Researchers compared a baseline setup to versions that add Elo ratings (to track reviewer
Misinformation is growing fast, but today’s AI fact-checkers are often graded on outdated, static tests that leak into model pretraining—making scores look better than real-world performance. VeriTaS is a living benchmark for automated fact-checking across text, images, and video. It stays fresh and robust, so evaluations actually mean
When chatbots appear to threaten, deceive, or "blackmail," it’s tempting to call it evil AI. This paper argues that’s the wrong frame. Large language models don’t have morals—they statistically learn from our record of human interactions: laws, contracts, negotiations, conflicts, and coercion. Using relational
AI
AI Agents vs. Memecoin Bots: Smarter Copy Trading Memecoins blew up after the $TRUMP coin craze. Copy trading made it easy to follow smart money, but it’s risky: manipulative bots, flaky KOLs, and execution lag can drain gains. Researchers built an explainable multi-agent AI that works like an asset-management
Meet Prism, a new way for AI assistants to handle messy, real-world requests—especially on social platforms where your goals can change mid-conversation. Instead of bombarding you with random clarifications, Prism breaks your request into parts, maps what depends on what, and asks only the right follow-ups in the right