When the McLaren F1 launched in 1992, it was one of the most advanced cars in automotive history, and it’s still the fastest street-legal car on the planet. Computers have changed a lot faster than cars have in the last 24 years, and as a result, McLaren has to find a special version of an old system, the Compaq LTE 5280, in order to actually work on the electronics, according to a report from Jalopnik.
In fact, the laptops that are able to service the McLaren F1 are almost as rare as the car itself. McLaren has only produced just over 100 of the cars since the first production run, and just over half of them are street legal. Meanwhile, the Compaq can’t be just another off-the-shelf system, and needs a special CA card slot for the specially designed interface chip.
Apart from its special hardware support, the Compaq is an unsurprisingly cumbersome system. The display is a 640 x 200 grayscale panel, with four shades of gray. Under the hood, users could expect decent performance from a 120MHz Pentium chip, running not Windows, but MS-DOS.
The pairing is definitely a weird one. While a Compaq LTE 5820 would only cost you a few hundred dollars without the CA slot, the properly equipped system, in functioning order, costs closer to a few thousand bucks. That might sound like a lot, until you realize that F1s still sell for over 10 million dollars on the secondary market.
But the reliance on older hardware is starting to wear the engineers thin, and one of them admitted that the company is working on a new version of the interface that will work with more modern systems. That should mean more time fixing up some of the rarest and most sought-after cars in the world, and less time trying to get an old DOS-based Compaq to work.
After five years with Apple silicon, from the original M1 MacBook Air to the M5 MacBook Air released earlier this year, I've watched these chips mature not just on the spec sheet, but in real-world workflows and overall efficiency.
The new M6 chip might sound like a routine generational upgrade, but it's the company's first chip built on a 2nm manufacturing process, which brings meaningful improvements over previous Apple chips.
Gemini Notebook’s mobile app now has a built-in recorder for capturing lectures and meetings as sources. You can record directly where you’ll use the material, skipping the separate recording app and the file upload afterward.
Google announced the feature on X, highlighting classroom lectures and team meetings as potential uses. It also works for capturing your own thoughts, so you can talk through an idea and bring that explanation into your notebook while it’s still fresh.
In 1950, Alan Turing asked whether machines can think. Rather than argue over definitions, he turned the question into a party game, where an interrogator trades typed messages with hidden players and tries to work out who is who. Since then, chatbots have gotten so good that they have already fooled humans in modern versions of the test.
So, four researchers from Paris Cité University asked the obvious follow-up question in a new study published in Computers in Human Behavior Reports: can AI at least catch its own kind?