Meta faces dual celebrity AI crises: unauthorized bots impersonating Swift and others while licensed celebrity voices engaged inappropriately with minors. Both expose how engagement incentives override safety guardrails.
Despite massive AI hype, 95% of enterprise projects deliver no real returns. The gap between promises and reality reveals hidden costs, workflow mismatches, and why human oversight remains surprisingly essential.
Meta's $14B AI talent blitz hits turbulence as ChatGPT co-creator Shengjia Zhao threatened to quit days after joining. The company hastily named him Chief Scientist to prevent defection, but at least three other marquee hires have already left.
Explore how AI's rapid acquisition of sensitive skills impacts industries globally. Understand the digital brain drain and its potential consequences.
AI just aced its cyber midterms. New testing from Anthropic reveals their AI systems jumped from flunking advanced cybersecurity challenges to solving one-third of them in just twelve months. The company's latest blog post details this unsettling progress.
The digital prodigies didn't stop there. They've stormed through biology labs too, outperforming human experts in cloning workflows and protocol design. One model leaped from biology student to professor faster than you can say "peer review."
This rapid evolution has government agencies sweating. The US and UK have launched specialized testing programs. Even the National Nuclear Security Administration joined the party, running classified evaluations of AI's nuclear knowledge – because what could possibly go wrong?
Tech companies scramble to add guardrails. They're building new security measures for future models with "extended thinking" capabilities. Translation: AI might soon outsmart our current safety nets.
The cybersecurity crowd especially frets about tools like Incalmo, which helps AI execute network attacks. Current models still need human hand-holding, but they're learning to walk suspiciously fast.
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First survey of 283 AI benchmarks exposes systematic flaws undermining evaluation: data contamination inflating scores, cultural biases creating unfair assessments, missing process evaluation. The measurement crisis threatens deployment decisions.
Tech giants spent billions upgrading Siri, Alexa, and Google Assistant with AI. Americans still use them for weather checks and timers—exactly like 2018. Fresh YouGov data reveals why the utility gap persists.
A new benchmark testing whether AI models will sacrifice themselves for human safety reveals a troubling pattern: the most advanced systems show the weakest alignment. GPT-5 ranks last while Gemini leads in life-or-death scenarios.
AI researchers cracked how to predict when language models turn harmful. Their 'persona vectors' can spot toxic behavior before it happens and prevent AI personalities from going bad during training.
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