I've always wanted to do something similar at scale. Generate all possible random mobile numbers 11^10, check if they have a WhatsApp profile pic and run it through AWS' rekognition celebrity model (https://docs.aws.amazon.com/rekognition/latest/dg/celebritie...). You could identify the personal numbers for a _lot_ of VIPs, politicians, etc.
"Amazon Rekognition can recognize thousands of celebrities in a wide range of categories, such as entertainment and media, sports, business, and politics. With Amazon Rekognition, you can recognize celebrities in images and in stored videos. You can also get additional information for recognized celebrities."
I guess an argument could be made how celebrities are public figures which in some jurisdictions gives them a bit worse privacy protections.
Also interesting: The article "Celebrity recognition compared to face search" [0] does actually have a disclaimer:
> Celebrity recognition should not be used in a manner that could result in a negative impact on civil liberties.
Only to then follow up how face search allows for the very same thing with your own face collections, so it's apparently not just reserved to celebrities.
It's 2021. Maybe if you had a calendar in your office you'd know?
Do people not ever need to sit down to manage any of their finances, personal life, or organisations they volunteer in in 2021? Do you do everything from your phone on your sofa? Where do you keep physical books and things? Do you never need to focus and write?
I do it in my kitchen or living room - for a couple of hours a week at most.
If I had a room that I could devote to something that I barely spend any time doing I would have made it into something more fun - like a workshop, or home-gym, or sauna, or whatever. I'll use it how I please - and my employer can keep on paying for somewhere for me to work.
Completey agree. I thought AirBnB was great back in the day but these days I only find it 'useful' (read: cheaper) when sharing a large property with friends. 99% of the time a 4*+ hotel cost is similar if not £20 - £40 more overall which I would be willing to pay because of your list above.
I made the mistake of buying an HP printer years ago. But I found a 'neat trick'. You can subscribe to the free Instant Ink program using a test credit card, i.e. a number from https://developer.paypal.com/docs/payflow/payflow-pro/payflo.... And ~2 days later you have ink sent to your door. Fuck you HP.
New printers often come with a trial of the manufacturer's subscription plan, which will automatically order ink when it's running low. I guess if you activate the subscription when it runs low, it will send a new cartridge straight away. This probably also works with a real card number if you just cancel the subscription before it starts charging.
I'd assume that only works once per printer - or at least it's enough of a pain to repeat it that most people would rather pay. The smallest subscription plans are pretty cheap.
That’s got to be it. No way would a test card number actually work. Live payment processor environments decline them. They only work in payment processor test environments.
If the merchant’s backend doesn’t special case them and sends them through, they will be declined.
This is great. One of my side project ideas is to build an ANPR based app and 'social network' starting with basic tracking, I.e. you've passed this car 4 times before. I'm new to the ML world so still learning vut Do you think this is feasible to run in real time using CoreML on iOS?
I developed a tool called shhgit.com that watches code commits across GitHub, Gitlab and Bitbucket in real time. In a ~24 hour period you will find 100s of valid SendGrid credentials/API keys so this does not surprise me. They really need to enforce 2FA and IP whitelisting for API key use.
Docker. Which hasn’t really helped me get _better_ at writing code. But my God it’s helped my productivity and I’m finishing more and more side projects because of it.