Had the same thought the other day. I think you’ll line AC
I highlight as I go, and occasionally add questions as notes. I then revisit my highlights after I finish and write up a summary. Examples: https://brandon.uno/books/
I think I just had to provide my company ID number, which isn’t Spanish (it’s Australian) but still worked fine!
The common thread here seems to be AI making previously useless data useful. While these examples are all concerning, I’m sure there are many other datasets that AI can make sense of that will be overwhelmingly positive for us.
Using stylometry to find people’s alternate accounts This Hacker News user is demonstrating how easily you can find people’s anonymous accounts by comparing writing styles. https://news.ycombinator.com/item?id=33755016
Connecting CCTV footage with social media posts A creepy example of how easy it is to identify people using security camera footage and social media posts. https://driesdepoorter.be/thefollower/
WiFi routers used to produce 3D images of humans Researchers at Carnegie Mellon have found a new way to locate and map people in space using WiFi transmitters. Or, x-ray vision into people’s homes. https://vpnoverview.com/news/wifi-routers-used-to-produce-3d-images-of-humans/
Extracting user locations by analysing SMS timings This paper shows that, after training a machine learning model, the sender can accurately determine the recipient’s location with up to 96% accuracy across countries. https://arxiv.org/abs/2306.07695
Decoding secret keys from card readers using videos of their power LED This method can extract secret keys from devices from a distance, as demonstrated with a smart card and a Samsung Galaxy S8. https://www.nassiben.com/video-based-crypta
Stealing data from keystrokes recorded over a Zoom call. Researchers can extract data from keyboard keystrokes recorded by a microphone at 93% accuracy when recorded on Zoom. https://www.bleepingcomputer.com/news/security/new-acoustic-attack-steals-data-from-keystrokes-with-95-percent-accuracy/
Today’s AI models are advanced enough to have a pretty troubling impact on privacy. A few examples I’ve collected recently...
AAL @ Dark Mofo was one of funnest electronic gigs I’ve been to. They had a live choir 🙏
Fred Again.. fans should give Against All Logic a try https://music.apple.com/au/album/2012-2017/1345456809
The third act had potential to be really interesting but the way they had already given us the most interesting parts via flash forwards/backs kinda killed it. A more linear story would’ve worked better imo
One of the reasons I encourage new founders to find a technical cofounder — if you can delay or skip your seed round, you can retain a good chunk of equity.
More notes on how this concept influences strategy for early-stage startups and how to tell which bucket you fall into: https://fastertim.es/post/validating-startup-ideas/
Some products are hard to build, but easy to sell. Early-stage startups like this, with a lot of technical risk, should focus on building credibility thru prototypes w/ early adopters. Some products are easy to build, but have little evidence of market demand. These startups should focus on validating demand w/ sales.
Drumming by Reich is one of my favourite soundtracks for work: https://music.apple.com/au/album/reich-drumming/1561276035