Had me wonder - if you ask an LLM for a random number 1...100, what distribution do you get? Surely many have run this experiment. Here's a link that looks like a good example, https://sanand0.github.io/llmrandom/
That is interesting data. Just from looking at those graphs, it looks like AIs are consistently avoidant of the number 69, likely because of safeguards to prevent it from being offensive. Otherwise its training would probably tell it that it was a really nice number.
Or the "Whiz Kids" that Robert McNamara brought into the DoD in the 1960s who were supposed to win the war in Vietnam through game theory and other applications of science and technology.
Like OGAS[1] - a unified economic management system. The idea was simple yet technocratically rational: if the system has enough sensors and effectors on society then it can reach a maximum of satisfaction for the society as a whole (with the given set of common resources).
Richard is amazing. I briefly worked with him while volunteering on a W3C text layout requirements document. He cares deeply about writing systems, and he has been doing so much valuable work in this space.
I've been writing my own "task runner" which seems to have some of the same features. I'd say some pros: A nice view of that has run (what has failed, etc.) - which otherwise could be drowned-out by stderr and stdout. Timing information for each "task". Can organize nested tasks. Save all in a structured log.
Ideally, you'd be able to specify exactly what you want - do you want to write-out filled pauses ("aaah", "umm")? Do you want to get a transcription of the the disfluencies - re-starts, etc. or just get out a cleaned up version?
Generally legal assisted suicide doesn't mean "the government helps you commit suicide" - it means it's not illegal for a doctor assisting a patient to commit suicide.
Well, the doctor, the drugs and everything else needed for the procedure is covered by the health system. I would argue that is indeed helping to end one's live.
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