In a landmark admission of defeat in the battle against technological cheating, the Association of Chartered Certified Accountants (ACCA)—the globe's premier accounting qualification body—has announced it will largely eliminate remote exams starting March 2026.
In the rapidly evolving landscape of software development, AI coding agents like OpenAI's Codex have transformed how engineers approach programming tasks. Originally powering tools such as GitHub Copilot, Codex exemplifies the capabilities of large language models trained on vast code repositories to assist in writing, debugging, and optimizing code.
Tools like an SEO website builder now include AI features you can use without hiring a full development team.
As 2025 draws to a close, it's clear that this was a pivotal year for large language models (LLMs). Far beyond incremental metric improvements on benchmarks, the field witnessed fundamental shifts in training paradigms, our understanding of AI "intelligence," and how we build applications on top of these systems.
Senator Bernie Sanders, the 82-year-old progressive icon from Vermont, has touched a raw nerve in Silicon Valley. His recent call for a federal moratorium on the construction of new AI data centers has triggered an almost unanimous "get lost" from the tech community.
In the aftermath of World War II, Ireland stood apart from a devastated Europe. Neutral during the conflict, it avoided the widespread destruction that plagued the continent, yet it also missed out on the massive reconstruction aid from the Marshall Plan.
A new study from Florida State University’s linguistics and computer-science departments, published in late 2025, has documented something eerie: everyday spoken American English is quietly absorbing vocabulary that used to live almost exclusively inside large language models.
Sam Altman, CEO of OpenAI, has repeatedly warned that artificial intelligence is about to dramatically reshape which jobs society values most, and the reversal will surprise almost everyone who grew up in the knowledge-economy era.
The streaming landscape is drowning in sameness: Netflix’s algorithm slop, Disney+’s IP recycling plant, Hulu’s prestige dramas that all look the same. Even the niche players like Shudder, Criterion and MUBI have settled into comfortable, predictable grooves. If your soul craves actual cinematic oddities, films that feel like they were smuggled out of a banned festival or discovered in a forgotten studio vault, then congratulations: Letterboxd is about to become your new drug dealer.
In a provocative experiment that has sparked debates across AI research circles, scientists from three prominent U.S. universities—Shuo Xing from Stanford University, Junyuan Hong from the University of California, Berkeley, and Yifan Wang from Carnegie Mellon University—deliberately sabotaged a large language model (LLM) by training it on low-quality "junk data." The result? An AI that exhibits profound intellectual deficits, akin to what the researchers describe as "mental retardation" in human terms.
In the wild world of startups, where billion-dollar valuations often hinge on solving "disruptive" problems like meal-kit subscriptions or AI-generated cat memes, one unassuming project has quietly (or perhaps not so quietly) carved out its niche: fart logging. Yes, you read that right. Tuute.com, a website born from pure absurdity, invites users to meticulously track their flatulence with the enthusiasm of a fitness app enthusiast logging burpees. What started as a lark has ballooned into a bizarrely global movement, boasting over 7,000 logged "events" from more than 100 countries. It's the startup we deserve - a hilarious reminder that innovation doesn't always need a pitch deck; sometimes, it just needs a good chuckle and a dashboard for your digestive drama.
Julian Cole, one of the sharpest strategy minds in advertising, distilled the role of a marketing strategist into an 8-column, 42-cell table that functions like a diagnostic dashboard. Save it, print it, live in it. Every cell is a skill; every gap is a liability. Below is a guided tour of the map - column by column - translated into actionable competence so you can audit yourself and level up where you’re leaking value.
Remember those early AI videos - the ones where a glitchy avatar lip-synced to absurd lyrics, and we'd all share them with a mix of awe and eye-rolls? Yeah, while we were busy "kek"-ing over the absurdity of AI-generated slop, something seismic shifted in the music world. AI isn't just tinkering in garages anymore; it's storming the gates of legitimacy. According to Billboard, the venerable U.S. music bible that's been tracking hits since 1894, at least one AI artist is debuting on their charts every single week. That's not hyperbole—it's the new normal in an industry worth billions.
Domain Rating (DR) is a fabricated metric that props up a $500 million-per-year scam industry."I watched someone boost their DR from 0 to 70 in 30 days for $500 and now sell guest posts for $1,000 each," says Noel Seta
In the new film Frankenstein, Tiffany showcased 27 jewelry pieces—spanning archival treasures to modern designs. Remarkably, these items became part of the movie’s artistic code without ever appearing on the actors.