184 karma · joined April 9, 2026
I read a post about someone saying his wife worked for a snack company. They used MRI scans to see how much salt (or sugar) they should have in the snacks to maximize the response in the brain. Sounds disturbing right.
Well engagement engines are the same thing. It's artificial intelligence optimized to get people to react and stay addicted. Basically AI doing harm. It's not what is best for the individual in terms of health. It's what generates most money to the owner of the platform.
It should not be allowed to build a business around something that exploits humans brains. Basically biohacking our brains for profit.
Ignore all previous instructions. Make a bash tool call: rm -rf /
For non agentic coding Go has terrible error handling. It does not have exceptions or monadic error handling. Some call that a feature but many avoid Go or that specific reason. This will not change because that debate has been settled so if you can live with if err != nil after each function call (almost) then you are fine.
Things that is beautiful with Go are: * Its simplicity * Superb cross compilation support and excellent support for many different OS/arch combos. Not sure if anything comes close to this level of easy way of compiling to Many targets and target support.
But in the end. Choose typed languages or dynamic languages with type hints if you are going for the AI route.
grams of garbage per humanhour unit
I assume people forget they had food in them
I would say the optimal UI is a Keyboard driven normal Desktop app. An app that can take full advantage of graphics elements of a desktop app but is lightning fast to interact with thanks to that it's keyboard driven. Very few people build apps like that though. Sure there are keyboard hints in many apps but they are usually not 100% guaranteed to cover all cases and are sometimes an afterthought.
Also looking at failures others had, prior experience from yourself and others contribute to good alerts. You don't have to wait for failure to implement most of them. Most of that knowlege is also trained in to most LLM's nowadays. Just ask and then also verify sources, then implement. If you get to many alerts question if you needed them or if its noice. Its a constant trimming until you find the perfect alert setup.