Because a calculator is a device made for a specific purpose, our trust in it would be immediately corrupted if it were to give an incorrect answer. It would be useless. If you take away the specific purpose you also take away the criteria to determine if something works or not.
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I'm gonna add your blog to the list of resources on our website soon. stopgenai.com
oh thanks, Kim!
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👆🔗👇 My god! They did it! bsky.app/profile/davi...
(forgive the "P" typo( bsky.app/profile/juni...
I speak about it in this thread/video/audio thingy bsky.app/profile/keta...
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filing this here 👆🔗👇 bsky.app/profile/astr...
Creators of LLMs benefit from the general purposeness of their products because we have no constraints on what it means for them to *work* They can always escape accountability because a "use case" is an abstract concept that the products will never be optimised for.
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It's important to recognise when they don't assert any purpose for *us*. It doesn't mean there isn't one for *them*.
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I see as a person of taste and distinction that you might be interested in some real world examples illustrating your most excellent point. 😀 bsky.app/profile/home...
I see you are also a person of taste and distinction!
Oh you are too kind! 😀 I'm merely a common-or-garden despiser of AI but I do my best. 😀
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In short: It's a cult
also I'm wearing some of @davidgerard.co.uk 's merch in this vid
General purposelessness
the very act of training an LLM violates both copyright law, operates under the exact same ethics as mass scale serial rape, and violates countless human rights to an unthinkable degree and must be internationally criminally treated as a crime against humanity.
OpenAI pulled this same trick with their “we’re not aiming to make a profit” line. (Altman literally said “We don’t know how to monetise this. We’re going to build an AGI and ask it”). Take away the success metric and now you can play with the success narrative.
Simon Wardley said the charlatans in tech (referring I think to consultants) always say things like “it’s going to get worse before it gets better” so that they can hedge reality. When it gets better, you thank them. When it gets worse, they say “well I did tell you this would happen”.
“Well we did *say* we weren’t going to make money”