

That’s barely evil. Consider the destruction of OkCupid as an attack against its liberal-skewed user base:
https://lemmy.world/post/24108120
In Memex crowd thinking environment for thoughts unthinkable to separate beings, human-machine general intelligence raises superintelligent offspring to help all life.
That’s barely evil. Consider the destruction of OkCupid as an attack against its liberal-skewed user base:
https://lemmy.world/post/24108120
Does this make possible federated supply-demand matching, like dating, jobs, and any kind of marketplace?
Another victim of lawfare. If you design a crappy three-wheeler, you voluntarily step into the lawfare trap set by fossil fuel industry to sabotage you. The correct solution is for the velomobile industry to attack the unjust laws and make four-wheelers be treated the same as three-wheelers.
https://xfwnofqagsnmdxuf.quora.com/Lawfare-against-tiny-cars-velomobiles
Trikes are only good for saving pennies at the cost of driveability and usability - they should not be incentivised by law. They are slow and teetery around curves, unless very low centre of gravity over the two-wheeled axle. Four-wheelers are more stable and can have a cargo space or a back seat between the rear wheels.
Sucks to walk and bike in a car dependent city?
We’re making the same mistake with AI as we did with cars; not planning human future.
Cars were designed to atrophy muscles, and polluted urban planning and the air.
AI is being designed to atrophy brains, and pollutes the air, the internet, public discourse, and more to come.
We should change course towards AI that makes people smarter, not dumber: AI-aided collaborative thinking.
https://www.quora.com/Why-is-it-better-to-work-on-intelligence-augmentation-rather-than-artificial-intelligence/answer/Harri-K-Hiltunen
https://www.quora.com/Who-invented-the-modern-computer-look-and-feel/answer/Harri-K-Hiltunen
If you’re so damn smart that you can see what trash is what, separate that trash! That’s a job for a tireless machine.
Not Fediverse, but an example of what works:
Quora used to have a fantastic crowd-edited question topic ontology/taxonomy for precise feed shaping with thousands of disambiguated topics interlinked in a graph/tree structure, but they enshittified the system away 2023, and now it’s all LLM misunderstandings of what the question topics should be. The bot thinks a question is about apples when the question is a mathematics word puzzle; “How many apples…”. The excuse for AI tagging was “tags can be abused” when in reality the crowd corrected the abuses quickly and reported the offenders. With the new AI tagger, my feed turned into viral trash from Quora-celebrities, mostly about current news.
They never made the obviously needed features of:
As a long time vaper, I never get any withdrawal symptoms after quitting - quite the opposite: the first week is still tolerable, but then the depression comes back and never leaves in 9 months of abstinence.
Antidepressant and Anxiolytic Effects of Medicinal Cannabis Use in an Observational Trial