Although I read that this web site was made using AI, I still feel entertained by it. The topic requires precise language and that's something that an LLM is surely excelling at. Yet I feel that the concepts in the text are a bit repetitive; the write-up could have been shortened a bit.

From the bottom of the article:

> No AI was used to generate the text for this article. The cover image and the voiceover in the audio version of the article is AI-generated. The cover image is made using Google Gemini’s latest image model while the voiceover uses OpenAI’s tts models.

Consent-O-Matic is a bit of an edge case because their last update was more than a year ago and their Github repo looks pretty dead. This makes me not really trust it anymore.

Why did you buy such a card in the 90s? Of course you wanted to play Doom or Duke3D with your buddies!

And to share the broadband cable internet with the neighbors across the street!

What do you think all those IT engineers who were made redundant in the last months are doing? Some of them might prefer founding a start-up to joblessness. It's not the first time that a job market crisis increases the rate of start-up registrations.

I really appreciate how Mars Incorporated is actively weaning people off sugar ;)

I haven't lost faith in my career and I've been an IT specialist all my life. AI will elevate my game to a new level. I see zero evidence that it will make me redundant in any way. I guess the role of IT will shift - specialized tech companies are less important, while business use of IT will thrive. (Yes, the code-monkey style of work will disappear, but nobody is going to miss this anyway, I hope)

It's always good to see improvements around WSL2, but especially this one is not so relevant IMHO, since it only affects WLS2 file access to Windows file system. If you store your dev environment in WSL2 anyway, this won't help you.

AI is like TV in that old saying: AI makes the smart ones smarter and the dumb ones dumber.

LLMs can both help you advance your knowledge and do your homework (preventing you from learning).

I am trying to build a simulation that lets a simulated organism come up with its own small language, purely learned from sensory input: https://github.com/JoergStrebel/VirtualZoo/blob/main/compute... I would like to implement the ideas put forward by Stevan Harnad in his symbol grounding problem paper (Harnad, 1990).

Hi - This sounds interesting and is an area that has fascinated me for quite some time. I think it is possible to build an agent whose intelligence emerges from preserving viability, learning which perceptions/actions are worth their metabolic cost, and grounding concepts in sensorimotor experience. I have been inspired by the ideas of Karl Friston, Anil Seth and the like. Following!

Banking apps are the deal-breaker for me. I only do business with banks that offer alternative ways of securing transactions e.g. eTan / ChipTAN / PhotoTAN with a separate reader / generator (see https://www.bsi.bund.de/EN/Themen/Verbraucherinnen-und-Verbr...). This is probably a pretty European thing to do, but at least it avoids being locked in and being tracked.

I'm happy that my bank (still) allows me to have both a stand-alone reader and a mobile app to authenticate. Because if you lose your authentication device, a lot of things suddenly get a lot harder.

I also tried to use an old phone as a backup device. However, most authentication apps only allow it to be installed on a single device.

I did that too (in Austria) for a long time. Fortunately my Bank (Erste Bank / Sparkasse) fully (almost fully, no nfc pay, since it depends on GPay) supports GrapheneOS now