Social feeds around the earthquakes in Venezuela filled with recycled footage and AI-generated destruction. Severe weather in China attracted its own wave of AI disaster videos, including fabricated flood scenes and false reports of power outages.
It creates an ugly race. People want immediate evidence of what happened, and AI slop can deliver something dramatic before reliable information catches up. Authentic updates are left competing with fiction precisely when confusion can send people scrambling for answers.
The misinformation surrounding Venezuela’s earthquakes didn’t rely on AI alone. Genuine videos from other disasters were assigned new locations, while older Venezuelan footage returned as breaking news. Once the date and context disappear, a real recording can deceive as effectively as a synthetic one.
That gives engagement farmers an easy way into an unfolding story. They only need a dramatic clip, a timely caption, and enough reach to beat anyone checking where it came from. AI adds more convincing material, but speed does much of the dirty work.
The fabricated posts from China show what happens when producing convincing fakes becomes cheap. Some images placed bodies in floodwaters, while false outage reports sent residents looking for emergency supplies.
Many posts were intended to attract followers and traffic, sometimes with money as the eventual goal. The footage doesn’t need to withstand close inspection. It only needs to look plausible long enough for frightened or curious viewers to pass it along.
The first viral videos often appear when reliable context is scarce. That timing gives dramatic footage an advantage, even when nobody can establish who recorded it, when it was made, or whether it shows the current disaster.
Assuming every clip is fake would also discard genuine eyewitness evidence. A better rule is to treat disaster footage as unverified until you can confirm its location, date, and original uploader. If those basics can’t be traced, don’t help a content farm turn someone else’s emergency into feed filler.
The absolutely absurd idea of putting a touchscreen display on a mouse isn't exactly new. Turtle Beach already did it with its Command Series MC7, which features a 2.25-inch control screen. But apparently, even that wasn't ridiculous enough for Arctic Fox Technologies. Its new Super Mouse looks like someone took the chunky old Atari ST mouse, slapped a touchscreen and scroll wheel on it, and called it an upgrade.
The result is a rather unusual-looking mouse that is now on Kickstarter, starting at $199. And as ridiculous as it looks, some of its features are genuinely intriguing.
Apple is less than a day away from launching its highly anticipated OLED MacBook Pro with a touch-sensitive screen. But it appears that the upgrade is going to cost a pretty penny. According to a report by Bloomberg, Apple is reportedly eyeing a starting price of $2,899 for the 14-inch MacBook Pro, while the 16-inch version could start at $3,399 in the US.
"At $2,899, the 14-inch model would mark the highest starting price for a new MacBook Pro model, surpassing the $2,799 Apple charged for a 17-inch version introduced in 2006," says the report. The report claims that Apple is targeting a minimum price hike of $400 for its upcoming redesigned 14-inch and 16-inch MacBook Pro models.
I've spent a good amount of time digging into the spec sheet of the new M6 MacBook Pro (14-inch), and for all intents and purposes, this is a classic Apple "chip and connectivity" refresh. It's not a full redesign. The chassis, Liquid Retina XDR panel, speakers, ports, and battery, all of them carry over unchanged.
However, the M6 brings more cores, stronger on-device AI, higher memory bandwidth on the larger configs, and modern wireless. Here’s the practical rundown of what actually improved, and whether those gains are worth your money.