[ExI] teachers

[efc at swisscows.email]

Interesting! That was the way my student choose to walk as well. I don't 
remember the specifics but he definitely dabbled in some kind of 
Adversarial Network which you could then train on the style of any artist 
you enjoyed as long as there was enough art in the public domain 
available.

Best regards,
Daniel


On Mon, 29 Jan 2024, Jason Resch via extropy-chat wrote:

> Before the current generation of image generators, there was an effort to make a "Creative Adversarial Network", which I write about
> here:
> https://alwaysasking.com/when-will-ai-take-over/#Art
> 
> He created a new type of AI he calls a Creative Adversarial Network or (CAN). The goal of a CAN is to create novelty: for example
> artwork in styles different from what it’s seen before.
> 
> Accordingly, artwork produced by a CAN leans towards abstract pieces. Elgammal said, “I am surprised by the output every time I run
> it.” 
> 
> Jason 
> 
> On Sun, Jan 28, 2024, 8:31 PM Henry Rivera via extropy-chat <extropy-chat at lists.extropy.org> wrote:
> A friend of mine started this project in an attempt to have a machine create “true art.” He started this long before the AI
> revolution btw. He argues that he has created creative bots. You be the judge. 
> 
> cloudpainter_logo_600wide_colorssquare.png
> Pindar Van Arman's cloudpainter
> cloudpainter.com
> 
> -Henry
>
>       On Jan 28, 2024, at 5:37 PM, efc--- via extropy-chat <extropy-chat at lists.extropy.org> wrote:
>
>       From my position as a teacher it is pretty easy to spot the difference since many students don't even bother to
>       change the output.
>
>       Most just put the raw output of a chat gpt question in a document and present it as their own, so when 70-100% of
>       the text is the same, it is easy to slap a cheat label on them.
>
>       The same for coding assignments when you can get 10-15 students with the exact same variable names, structure, and
>       order of calls.
>
>       But... a highly motivated cheater who actually applies some intelligence to the task will of course be able to
>       cheat way more easily.
>
>       Best regards,
>       Daniel
> 
>
>       On Sun, 28 Jan 2024, Will Steinberg via extropy-chat wrote:
>
>             The updated Turing test should see whether a computer can make true Art.
>
>             It’s no surprise that AI excels in optimizing derivative content—that’s what it is made to do.  School
>             essays already may as well be
>
>             copies of one another, made according to algorithms.  Is it really shocking at all that AI can pump out
>             the same commodified crap
>
>             people already do—essays, ad copy, tutorials, illustrations, web design?
>
>             When an AI can create *of its own volition* works of art that hang in museums, then it passes the test.
>
>             AI can already be used by skilled humans to make true Art, but when it makes some itself then I’ll be
>             convinced
>
>             On Thu, Aug 24, 2023 at 10:58 AM Gregory Jones via extropy-chat <extropy-chat at lists.extropy.org> wrote:
>
>                  BillW's question regarding the instructor's task of distinguishing between a student and AI puts a
>             final nail in the
>
>                  coffin of Turing's test.  Artificial intelligence is able create an illusion of consciousness so
>             convincing, we are still
>
>                  debating if it really is the real thing, all while failing to adequately define precisely what we
>             mean by "real." 
>
>             spike
>
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