Founder of CodeWall here. It's quite funny because whilst an LLM did write the bulk of the posts factual content (based on the agents findings), I wrote the intro and summary at the end. That's just my writing style. Feel free to read my personal blog to compare: https://darkport.co.uk
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.
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.
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.
Author here. I released the tool a few weeks back and since downsized the EC2 instance. So this post pretty much killed the box. I've just up-sized it again but it's still running fairly slowly due to high load. It typically finds around 5 secrets/a second. Corresponding blog post here: https://darkport.co.uk/blog/ahh-shhgit!/ and you can run your own instance here: https://github.com/eth0izzle/shhgit
Would people here use a similar service, but the ingredients are automatically sourced from your local supermarket and delivered to your door? Almost supermarket prices with still the convenience of not deciding what to eat and buying the separately.
It’s by design. The default for all F9 rockets is to land off-shore in the water. Once all the checks are complete and the rocket is “happy” and all systems are performing nominally, it redirects to the landing zone (either a barge or on land).
It’s quite hard to do this randomly. You need a substantial data set to train the machine to recognise your targets face. You can’t just upload 5 or 6 blurry social media photos.