hairyvisionary

@dgerard I can't help but imagine what a Zizian would do if one endarkened them with the knowledge that lettuce in salad was not allowed to grow to maturity (flowering) before being harvested and consumed

@dgerard "The best teachers are the best communicators: clear, succinct, simple language"

@Soyweiser To be fair that change request was made by the original purchaser of the yacht, long before it was re-christened Bayesian by its new owner

@dgerard Right, that actually is investor money being set on fire to activate sand; and I guess MS own half of the previously existing for-profit OpenAI; mostly this makes me wonder how much more money they can set fire to and how fast

@dgerard So um now we can get on into the sunk cost fallacy phase of "AI"-pre-winter? I mean how much how much VC money have they already burnt to heat up sand at data centers? Does MICROS~1 granting them Azure use count?

@fasterandworse @dgerard I mean, it's like catnip for the people who control how the company's money is spent

For absurd, I think one would want the LLM's configuration language to be more like INTERCAL; but this may also be more explicit about how your instructions are merely suggestions to a black box full of weights and pulleys and with some randomness added to make it less predictable/repetitive

@fasterandworse @dgerard I am pretty sure I have seen programming the computer in plain English used as a selling point for various products since the 1970s at least

the best part is that most of these products are ex-products

@Cube6392 @MudMan Not simply "because they want to", but because they know it will be treated as an authority (we put so much stuff in) and will (or can be coerced to) give the answers they as paying customers want

@dgerard @YouKnowWhoTheFuckIAM But the most interesting thing I found was the flash cards. You see, we've been training meat-based neural networks to do this for a while. Now I wonder what I would find if I looked into radiology.

@dgerard @YouKnowWhoTheFuckIAM About a decade ago I was working with (kinda sorta) a guy who wanted to do a start-em-up that would involve machine recognition of situations from electrocardiograph recordings, in real-time so as to give the cardio outpatient early warning that they should call for help. At that time the buzzword was Machine Learning, but also I looked and found the published research to be voluminous and ongoing for some decades.

@swlabr @Architeuthis and a ball gag

@sc_griffith @gerikson
Buried in that piece is the probable typo but certainly pointed "On X, the platform formally known as Twitter"