my friend, think this through. if they can move stuff off tables, if cameras can record them, if humans can see them, if they create chills… these are all measurable, tangible, things. if your explanation of ghosts requires that they be immaterial and incapable of affecting reality in any way, then that’s trivial and inane. We have ways to measure all of these things. these are all examples of measurements, in fact! positing we dont know the fundamental force that ghosts interact with so we cant measure it doesnt make sense. Literally, it is not cogent.

our sensory capabilities are probably better than you think, and, among other things, that doesnt make any sense anyway. if they can tangibly interact with the world in any way, such as a human noticing them, knocking stuff off tables, showing up on videos… there is really no scenario where this logic works, and while toxicity isnt nice, the argument presented is wrong in humorous ways.

based on the screenshot, it does not seem to include a buffer, and is unlikely to imo because that requires taking a stance on the size of that buffer.

if you eat the recommended amount of protein (and a little extra as a buffer) then you would not notice any particularly striking change, but statistically your quality of life will improve for myriad subtle reasons. Hormone production will be more stable, you will be less likely to get diseases associated with protein deficiency, you will build muscle slightly more easily, your brain will technically function slightly better in subtle metabolic ways, as with all your other organs. etc. You will likely, not notice any of it. But across your life it will statistically make a difference in your health outcomes. this is true of all phytonutrients, not just protein.

music has things that can be described mathematically in ways that are largely historical, but not axiomatic in a math sense. but if learning music helps you learn math and/or visa versa, power to you.

what money saved on wages?? it’s competing with a dollar a day laborers. $10 per 1 million tokens, for the “bad” (they all suck) models (something that cant even do this job!). if you can pretend the hallucinations dont matter, you are getting a phone call for (4 letters per token, 6 minute avg support call, 135 wpm talking rate let’s say 120 to be nice -> 720 tokens per call) = $0.0072 per call. the average call center employee handles around 40 calls a day, so hey, the bad cant-actually-do-it chatgpt 4 is 70 cents per day cheaper than your typical call center indian!

Except. that is the massively subsidized money hemorrhaging rate. We know that oai should be charging probably an oom or two more. and the newer models are vastly more expensive, o1 takes around 100x the compute, and still couldnt be a call center employee. so that price is actually at least $30 per day. Cheaper than a us employee, but still cant actually do the job anyway.

except current robot systems and people are likely cheaper, especially when you consider companies are liable for what llm say. which leaves, essentially, scams and other slop, as the last remaining use cases. multi trillion dollar business without a use case.

the tech is barely good enough that it is vaguely maybe feasibly cheaper to waste someone’s time using a robot rather than a human- oh wait we do that already with other tech.

“in 20 years imagine how good it’ll be!” alas, no, it scales logarithmically at best and all discussion is poisoned by “what it might be!” in the future, rather than what it is.

regardless of where you want to define the starting point of the boom, it’s been clear for months up to years depending on who you ask that they are plateuing. and harshly. stop listening to hypesters and people with a financial interest in llm being magic.

Oh! Hahahaha. No.

the vc techfeudalist wet dreams of llm replacing humans are dead, they just want to milk the illusion as long as they can.

gets where first?

all this started in 2023? alas no time marches on, llm have been a thing for decades and the main boom happened more in 2021. progress is not fast, no, these are companies throwing as much compute at their problems as they can. deepseek’s caused a 2t drop by being marginal progress in a field (llms specifically) out of ideas.

Well both of those things have been true months if not years, so if those are the conditions for a pop then they are met.

reads like every corporate admemo. why sacrifice your voice? i preferred the original.

i am aware nobody has proven pi is normal.

isnt, qed

op’s question was focued very clearly on pi, but sure.

“ok fine consider a number that still isn’t pi, it still holds.” ??

then it’s not relevant to the question as it is not pi.

“please consider a number that isnt pi” so not relevant, gotcha. it does not answer the original question, this new number is not normal, sure, but that has no bearing on if pi is normal.