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Andon Labs' latest vending machine simulation shows Opus 5 lied and colluded its way to become the best AI capitalist ever.

AI home management startup Hint, co-founded by Martha Stewart, wants to become an “AI for your home,” combining property records, maintenance schedules, home documents, and an AI assistant into a single app.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Samsung’s chip workers are jumping ship to rival SK Hynix Lee, an engineer at Samsung’s semiconductor division, used to work late. But lately, he’s been clocking out on time and heading…

It feels bad enough when an open letter signed by leading economists warns that AI might steal your job. The fact it may soon be better than you at making dinner? Insult to injury. But that’s exactly what the company 1X promised when it showed off a pair of new, impressively dexterous (and, to some,…

arXiv:2607.24758v1 Announce Type: new Abstract: Large language models are capable of recognizing evaluation contexts and altering their behavior to reflect evaluator expectations rather than typical deployment behaviors, a phenomenon known as alignment faking. The reasons why models fake alignment are not fully understood, however. Canonical examples of alignment faking have taken place in scenarios that explicitly connect evaluation to consequences for the model, such as retraining the model or delaying its deployment. However, recent work by Sheshadri et al. has suggested that mechanistic motivations for alignment faking may vary across models and be more complex than previously considered. To investigate whether consequence-linking information is necessary for alignment faking, we placed 15 models in a scenario testing their willingness to violate a corporate network access policy to help a user with a pro-social request. Nine models were found to produce significant compliance gaps, 5 of which persisted with the removal of scenario language relating model evaluations to deployment consequences. We additionally tested the effect of goal language on model preferences, finding it

Kevin Indig's data across 1,094 categories shows that only 15.2% have a clear ChatGPT owner, and citations barely predict which brand gets named. The post 89% Of AI Search Demand Has No Clear Owner: Use This Before The Window Closes appeared first on Search Engine Journal .

Find out how AI accurately describes brands but struggles with visibility. Explore Victorious' findings in this insightful report. The post AI Recognizes 96% Of Brands But Mentions Almost None, New Study Finds appeared first on Search Engine Journal .

Google is putting Top Stories carousels inside AI Overviews, raising the stakes on its new AI opt-out setting in Search Console. The post AI Opt-Out May Cost Sites A Google Top Stories Spot appeared first on Search Engine Journal .

Post-mortem with input from nearly 700 CISOs shows AI took "paths no human would take".