Meta asking users to hand over bank accounts, email archives and passwords while its own engineers reportedly call a massive breach »inevitable« is quite the sales pitch. At this point, Muse isn’t a personal assistant: it’s a beautifully branded single point of failure with Zuckerberg’s logo on it.

AI’s business model is starting to look like a snake eating its own tail: scrape human work, replace the humans who make it, flood the web with synthetic sludge, then wonder why there’s less quality data to train on. Silicon Valley calls it disruption. Everyone else might call it burning the furniture to heat the house.

Amazon wants communities to stop »defying« its AI data centers, which is a fascinating way to describe democracy when democracy becomes inconvenient. Apparently locals should provide the land, water, power and infrastructure, then politely shut up while one of the world’s richest corporations decides what »progress« looks like.

Calling a betting market »journalism« is quite the innovation: why investigate power, verify facts, or protect sources when you can just put odds on reality and call it data? CBS partnering with Kalshi feels less like the future of news and more like turning election night into a casino with correspondents.

Turns out »it’s on a public road« stops being a magic privacy waiver when police can reconstruct a month of your movements with a few clicks. Flock sold dragnet surveillance as a camera network, and a federal judge finally called it what it is: indiscriminate mass surveillance.

Google’s green image looks increasingly like a marketing layer over an industrial land grab. A company worth trillions wants ever more land, power and water for AI, and now it’s accused of clearing Finnish forest before environmental assessments were complete.

Thanks for the hint.

Trump calling it “Super Intelligence” only for the government’s own AI to contradict his election claims is almost too perfect. Apparently even a chatbot trained under his administration looked at the evidence and said: nope. Then came the inevitable upgrade: stop answering political questions before the machine commits any more inconvenient acts of fact checking.

💪😎✌️

OpenAI firing safety researchers for allegedly sharing information with an outside safety group is certainly one way to demonstrate your commitment to safety. Nothing says trust us quite like making the people worried about the brakes disappear while insisting the car is totally under control.

AI’s business model is starting to look less like a revolution and more like a $6 trillion IOU. Bain says existing AI services may cover just $1.8 trillion by 2031, leaving a $4.2 trillion hole to justify the data center frenzy. Apparently the killer app is still: »please invent enough revenue before the depreciation schedule catches us!!!«