[FRIAM] This is scary, and yet very cool...Ai neural networks making pictures, look really good
cody dooderson
d00d3rs0n at gmail.com
Mon Apr 11 13:35:38 EDT 2022
Thank you Russel. That was a better answer than I have been able to find in
any of the documentation.
Is a copy left activist the opposite of a copyright lawyer?
Cody Smith
On Sun, Apr 10, 2022 at 7:14 PM Russell Standish <lists at hpcoders.com.au>
wrote:
> On Fri, Apr 08, 2022 at 08:19:16AM -0600, cody dooderson wrote:
> > 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?
>
> Yes - I've been reading some of the articles, and listened to some
> talks presented at NVidia's GTC conference.
>
> Copilot is a model based on GPT3, which is a general language parsing
> and generation model. Basically, it takes input tokens, and outputs
> most like response tokens based on that. It is a recurrent neural
> network with a few 100 billion parameters (ie essentially synaptic
> weights), with a complexity approaching that of a human brain (human
> brains contain around a trillion synapses). GPT3 has been pretrained
> on corpora sourced from the world-wide web, and interestingly it has
> been found that the pre-trained model can be fairly rapidly retrained
> on different tasks. In the case of Copilot, it has been trained on the
> contents of Github, which is the world largest open source
> repository. This has caused concern amongst copy left activists, as
> quite a bit of GPL licensed code was involved, and this is arguably
> not a case of "fair use" of copyright code.
>
> No - it does not run locally. It requires a massive, massive cluster
> of NVidia GPUs to run training, and the inference part requires a not
> quite so massive cluster of GPUs as well. Hence the need for it to run
> in the cloud.
>
> >
> > On Wed, Apr 6, 2022, 1:24 PM Marcus Daniels <marcus at snoutfarm.com>
> wrote:
> >
> >
> > Change the sentence to be “Put Ukrainian soldier nearby a civilian on
> > street in Bucha, shooting her.”
> >
> >
> >
> > From: Friam <friam-bounces at redfish.com> On Behalf Of Gillian
> Densmore
> > Sent: Wednesday, April 6, 2022 11:09 AM
> > To: The Friday Morning Applied Complexity Coffee Group <
> friam at redfish.com>
> > 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 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 <marcus at snoutfarm.com
> >
> > wrote:
> >
> > Speaking of which, https://openai.com/dall-e-2/
> >
> >
> >
> > From: Friam <friam-bounces at redfish.com> On Behalf Of Gillian
> Densmore
> > Sent: Monday, April 4, 2022 10:01 PM
> > To: The Friday Morning Applied Complexity Coffee Group <
> > friam at redfish.com>
> > 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 <
> marcus at snoutfarm.com>
> > 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 <
> > gil.densmore at gmail.com> 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 <
> > gil.densmore at gmail.com> wrote:
> >
> > aaaaaaaaaaaaaaah! coool!! thanks!
> >
> >
> >
> > On Mon, Apr 4, 2022 at 5:30 PM Marcus Daniels <
> > marcus at snoutfarm.com> 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 <friam-bounces at redfish.com> On
> Behalf Of
> > Gillian Densmore
> > Sent: Monday, April 4, 2022 3:25 PM
> > To: The Friday Morning Applied Complexity Coffee
> Group
> > <friam at redfish.com>
> > 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?
> >
> >
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> --
>
>
> ----------------------------------------------------------------------------
> Dr Russell Standish Phone 0425 253119 (mobile)
> Principal, High Performance Coders hpcoder at hpcoders.com.au
> http://www.hpcoders.com.au
>
> ----------------------------------------------------------------------------
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