Every company seems to scramble trying to sell AI based products they have invested in so heavily, disregarding whether anyone needed them at all in the first place.
20ys ago: you must study CS it's in high demand RN!
10ys ago: don't even apply w/o a master's degree!
2ys ago: sorry we're full!
1 week ago: you must study ML it's in high demand RN!
The take is that possibility space does not have the same constraints as physical space. But I cannot recall that that was a real problem, but at least that's an opener for a discussion.
The question was and still is what influences individual particles to form an interference pattern over time. One interpretation is that something changes, or interferes with, the probability wave function of the particle's 'virtual' trajectory. The empirical evidence for this statistical anomaly is the pattern on the screen. Well of course, the double slit causes the interference pattern, but it's still not clear why. Best working guesstimate so far is that it behaves like a bullet in physical space and like a wave in possibility space at the same time. This guesstimate was enough to become the foundation of modern quantum physics, and so much more. But is it the whole story? Do we want to know?
I think the double slit experiment is just flawed, and it's a miracle that someone was able to derive a working model from its results.
Nokia saw the iPhone, fast-forward to 2014, Nokia just gives up and sells their dead horse cellphone business to Microsoft. Microsoft casts a few necromancy spells and also just gives up 3 years later, and kills the same dead horse again. The end.
Ironically, the Stammtisch culture in Germany did not exactly help to counter the loneliness epidemic, if anything it softened the rise. People are lonely more than ever still.
I went straight to the "how to fix" section with popcorn in hand and I wasn't disappointed: just add " doubt" layers for self-correction, beginning at the query itself. And then maybe tell the model "do not hallucinate". Sounds like a pun, but I think an AI model actually would take this seriously, because it can't tell the difference.
Context is still a huge problem for AI models, and it's probably still the main reason for hallucinating AIs.
I was thinking about cell-based distributed systems years ago and I haven´t yet figured out how to handle their complexity, unreliable connectivity and, as always, what use cases there might even be.