That soundscape thing is nice. What a nifty idea. Speaking of AI, has anyone used GitHub copilot. It is AI for writing code. It is spectacular. It writes decent code with very few prompts. It makes a few mistakes but don't we all. I haven't been able to find a good writeup on how it works. Does anyone know about it? Does it run locally? Could it create itself?
On Wed, Apr 6, 2022, 1:24 PM Marcus Daniels <[email protected]> wrote: > Change the sentence to be “Put Ukrainian soldier nearby a civilian on > street in Bucha, shooting her.” > > > > *From:* Friam <[email protected]> *On Behalf Of *Gillian Densmore > *Sent:* Wednesday, April 6, 2022 11:09 AM > *To:* The Friday Morning Applied Complexity Coffee Group < > [email protected]> > *Subject:* Re: [FRIAM] This is scary, and yet very cool...Ai neural > networks making pictures, look really good > > > > Oh shit! that's trippy! I though I stumbled over an equally trippy screen > saver, and (separately) some kind white noise, or background sounds > generator that used Ai somehow. > > Found one of the screen savers that uses Ai. It's free if you let them use > your GPU and CPU otherwise it's just a few bucks. > https://electricsheep.org/ > > I'm not finding the specific whitenoise maker I tried to help with > insomnia. Just for that side, worked out great. I don't think it was as > sophisticated as dall-e2. IIRC I had to give it somehelp with some stuff. > Maybe so it knows where to start? I didn't think about it till now. Because > if I like backgrounds that are warm and wholesome, it'd need to know what > mix together and kinds of tones or something? I have no idea. I'm just > guessing > > electricsheep on the other hand can make some stuff that on the entire > spectrum from trippy, to that's just cheating: a beautiful scenic town kind > of things. > > > > Do you know if they needed to train the Neural Networks so it knows whats > what? like popart from Lichtenstein > <https://en.wikipedia.org/wiki/Roy_Lichtenstein> and andy worhole or what > we might find at the indian market. Such that later on you say ahah I want > a cow print slowcooker picture Dall-e can do that? > > > > On Wed, Apr 6, 2022 at 11:04 AM Marcus Daniels <[email protected]> > wrote: > > Speaking of which, https://openai.com/dall-e-2/ > > > > *From:* Friam <[email protected]> *On Behalf Of *Gillian Densmore > *Sent:* Monday, April 4, 2022 10:01 PM > *To:* The Friday Morning Applied Complexity Coffee Group < > [email protected]> > *Subject:* Re: [FRIAM] This is scary, and yet very cool...Ai neural > networks making pictures, look really good > > > > 👍 > > > > On Mon, Apr 4, 2022 at 8:37 PM Marcus Daniels <[email protected]> > wrote: > > I am not a photographer but I have been startled by how recent iPhone > photos sometimes look better than what I saw when I took it. This article > explains.. > > > > > https://www.newyorker.com/culture/infinite-scroll/have-iphone-cameras-become-too-smart > > > > Filmy-ness sounds like crude interpolation more than structure being > imposed. > > > > Suppose I had 1000 pictures of my dog in many lighting conditions and from > different angles. Using photogrammetry reconstruction techniques these > could be used to prepare a 3-d textured model of her. My iPhone could > determine that the 1001st photo also included her. It could then reference > this model to enhance her image in the new context. Maybe inferring the > light sources and ray tracing her at the required orientation and scale, > but at a resolution far beyond what was in the photo. That would be more > art than a photo, but who cares about the truth anymore? Photos are to be > staged! > > > > > > On Apr 4, 2022, at 5:04 PM, Gillian Densmore <[email protected]> > wrote: > > > > Is that also why some of the older software for upscaling tricks the new > pictures have a kind of saturated or filmy thing over them? or is that > just from the particular Neural Networks or Ai models used? Still very > impressive. > > > > On Mon, Apr 4, 2022 at 5:40 PM Gillian Densmore <[email protected]> > wrote: > > aaaaaaaaaaaaaaah! coool!! thanks! > > > > On Mon, Apr 4, 2022 at 5:30 PM Marcus Daniels <[email protected]> > wrote: > > The idea [1] is that they learn the distribution function of different > kinds of distortion using a machine learning algorithm. > > Then that algorithm can invert that distribution function. Kind of like a > lens can correct for nearsightedness. > > > > [1] https://arxiv.org/pdf/2107.10833.pdf > > *From:* Friam <[email protected]> *On Behalf Of *Gillian Densmore > *Sent:* Monday, April 4, 2022 3:25 PM > *To:* The Friday Morning Applied Complexity Coffee Group < > [email protected]> > *Subject:* [FRIAM] This is scary, and yet very cool...Ai neural networks > making pictures, look really good > > > > https://github.com/xinntao/ESRGAN > > > > Stumbled across this looking for a way to gently adjust some old pictures > of mine without watermarks (gigapixel), photoshop wasn't cutting it > because not enough pixels or data in the originals. > > > > I am beyond fascinated how do they do it? just guess based on colors and > add more pixels with that color? > > > .-- .- -. - / .- -.-. - .. --- -. ..--.. / -.-. --- -. .--- ..- --. .- - . > FRIAM Applied Complexity Group listserv > Zoom Fridays 9:30a-12p Mtn UTC-6 bit.ly/virtualfriam > un/subscribe http://redfish.com/mailman/listinfo/friam_redfish.com > FRIAM-COMIC http://friam-comic.blogspot.com/ > archives: > 5/2017 thru present https://redfish.com/pipermail/friam_redfish.com/ > 1/2003 thru 6/2021 http://friam.383.s1.nabble.com/ > > > .-- .- -. - / .- -.-. - .. --- -. ..--.. / -.-. --- -. .--- ..- --. .- - . > FRIAM Applied Complexity Group listserv > Zoom Fridays 9:30a-12p Mtn UTC-6 bit.ly/virtualfriam > un/subscribe http://redfish.com/mailman/listinfo/friam_redfish.com > FRIAM-COMIC http://friam-comic.blogspot.com/ > archives: > 5/2017 thru present https://redfish.com/pipermail/friam_redfish.com/ > 1/2003 thru 6/2021 http://friam.383.s1.nabble.com/ > > > .-- .- -. - / .- -.-. - .. --- -. ..--.. / -.-. --- -. .--- ..- --. .- - . > FRIAM Applied Complexity Group listserv > Zoom Fridays 9:30a-12p Mtn UTC-6 bit.ly/virtualfriam > un/subscribe http://redfish.com/mailman/listinfo/friam_redfish.com > FRIAM-COMIC http://friam-comic.blogspot.com/ > archives: > 5/2017 thru present https://redfish.com/pipermail/friam_redfish.com/ > 1/2003 thru 6/2021 http://friam.383.s1.nabble.com/ > > > .-- .- -. - / .- -.-. - .. --- -. ..--.. / -.-. --- -. .--- ..- --. .- - . > FRIAM Applied Complexity Group listserv > Zoom Fridays 9:30a-12p Mtn UTC-6 bit.ly/virtualfriam > un/subscribe http://redfish.com/mailman/listinfo/friam_redfish.com > FRIAM-COMIC http://friam-comic.blogspot.com/ > archives: > 5/2017 thru present https://redfish.com/pipermail/friam_redfish.com/ > 1/2003 thru 6/2021 http://friam.383.s1.nabble.com/ > > > .-- .- -. - / .- -.-. - .. --- -. ..--.. / -.-. --- -. .--- ..- --. .- - . > FRIAM Applied Complexity Group listserv > Zoom Fridays 9:30a-12p Mtn UTC-6 bit.ly/virtualfriam > un/subscribe http://redfish.com/mailman/listinfo/friam_redfish.com > FRIAM-COMIC http://friam-comic.blogspot.com/ > archives: > 5/2017 thru present https://redfish.com/pipermail/friam_redfish.com/ > 1/2003 thru 6/2021 http://friam.383.s1.nabble.com/ >
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