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<p class="MsoNormal">Change the sentence to be \u201cPut Ukrainian soldier nearby a civilian on street in Bucha, shooting her.\u201d<o:p></o:p></p>
<p class="MsoNormal"><o:p>&nbsp;</o:p></p>
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<p class="MsoNormal"><b>From:</b> Friam &lt;friam-bounces@redfish.com&gt; <b>On Behalf Of
</b>Gillian Densmore<br>
<b>Sent:</b> Wednesday, April 6, 2022 11:09 AM<br>
<b>To:</b> The Friday Morning Applied Complexity Coffee Group &lt;friam@redfish.com&gt;<br>
<b>Subject:</b> Re: [FRIAM] This is scary, and yet very cool...Ai neural networks making pictures, look really good<o:p></o:p></p>
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<p class="MsoNormal"><o:p>&nbsp;</o:p></p>
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<p class="MsoNormal">Oh shit! that's trippy! I though I stumbled over an equally trippy screen saver, and (separately) some&nbsp; kind white noise, or background sounds generator that used Ai somehow.&nbsp;<o:p></o:p></p>
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<p class="MsoNormal">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.&nbsp;<a href="https://electricsheep.org/">https://electricsheep.org/</a>&nbsp;<o:p></o:p></p>
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<p class="MsoNormal">I'm not finding the specific whitenoise maker I tried to help with insomnia. Just for that side, worked out great.&nbsp; I don't think it was as sophisticated as&nbsp; 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<o:p></o:p></p>
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<p class="MsoNormal">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.<o:p></o:p></p>
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<p class="MsoNormal"><o:p>&nbsp;</o:p></p>
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<p class="MsoNormal">Do you know if they needed to train the Neural Networks so it knows whats what? like popart&nbsp;from&nbsp;<a href="https://en.wikipedia.org/wiki/Roy_Lichtenstein" title="Roy Lichtenstein"><span style="font-size:9.5pt;font-family:&quot;Arial&quot;,sans-serif;color:#0645AD;background:#F8F9FA">Lichtenstein</span></a>&nbsp;and
 andy worhole&nbsp;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?<o:p></o:p></p>
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<p class="MsoNormal"><o:p>&nbsp;</o:p></p>
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<p class="MsoNormal">On Wed, Apr 6, 2022 at 11:04 AM Marcus Daniels &lt;<a href="mailto:marcus@snoutfarm.com">marcus@snoutfarm.com</a>&gt; wrote:<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">Speaking of which,&nbsp;
<a href="https://openai.com/dall-e-2/" target="_blank">https://openai.com/dall-e-2/</a><o:p></o:p></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">&nbsp;<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><b>From:</b> Friam &lt;<a href="mailto:friam-bounces@redfish.com" target="_blank">friam-bounces@redfish.com</a>&gt;
<b>On Behalf Of </b>Gillian Densmore<br>
<b>Sent:</b> Monday, April 4, 2022 10:01 PM<br>
<b>To:</b> The Friday Morning Applied Complexity Coffee Group &lt;<a href="mailto:friam@redfish.com" target="_blank">friam@redfish.com</a>&gt;<br>
<b>Subject:</b> Re: [FRIAM] This is scary, and yet very cool...Ai neural networks making pictures, look really good<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">&nbsp;<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-family:&quot;Segoe UI Emoji&quot;,sans-serif">&#128077;</span><o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">&nbsp;<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">On Mon, Apr 4, 2022 at 8:37 PM Marcus Daniels &lt;<a href="mailto:marcus@snoutfarm.com" target="_blank">marcus@snoutfarm.com</a>&gt; wrote:<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">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. &nbsp; This article explains..&nbsp;
<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">&nbsp;<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><a href="https://www.newyorker.com/culture/infinite-scroll/have-iphone-cameras-become-too-smart" target="_blank">https://www.newyorker.com/culture/infinite-scroll/have-iphone-cameras-become-too-smart</a><o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">&nbsp;<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">Filmy-ness sounds like crude interpolation more than structure being imposed.<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">&nbsp;<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">Suppose I had 1000 pictures of my dog in many lighting conditions and from different angles.&nbsp; Using photogrammetry reconstruction techniques these could be used to prepare a 3-d
 textured model of her. &nbsp; My iPhone could determine that the 1001st photo also included her.&nbsp; It could then reference this model to enhance her image in the new context. &nbsp; 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.&nbsp; That would be more art than a photo, but who cares about the truth anymore?&nbsp; Photos are to be staged!<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">&nbsp;<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:12.0pt"><o:p>&nbsp;</o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:12.0pt">On Apr 4, 2022, at 5:04 PM, Gillian Densmore &lt;<a href="mailto:gil.densmore@gmail.com" target="_blank">gil.densmore@gmail.com</a>&gt; wrote:<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">\ufeff
<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">Is that also why some of the older software for upscaling tricks the new pictures have a&nbsp; kind of saturated or&nbsp; filmy thing over them? or is that just from the particular Neural
 Networks or Ai models used?&nbsp; Still very impressive.<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">&nbsp;<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">On Mon, Apr 4, 2022 at 5:40 PM Gillian Densmore &lt;<a href="mailto:gil.densmore@gmail.com" target="_blank">gil.densmore@gmail.com</a>&gt; wrote:<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">aaaaaaaaaaaaaaah! coool!! thanks!<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">&nbsp;<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">On Mon, Apr 4, 2022 at 5:30 PM Marcus Daniels &lt;<a href="mailto:marcus@snoutfarm.com" target="_blank">marcus@snoutfarm.com</a>&gt; wrote:<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">The idea [1] is that they learn the distribution function of different kinds of distortion using a machine learning algorithm.<o:p></o:p></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">Then that algorithm can invert that distribution function.&nbsp; Kind of like a lens can correct for nearsightedness.<o:p></o:p></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">&nbsp;<o:p></o:p></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">[1]
<a href="https://arxiv.org/pdf/2107.10833.pdf" target="_blank">https://arxiv.org/pdf/2107.10833.pdf</a><o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><b>From:</b> Friam &lt;<a href="mailto:friam-bounces@redfish.com" target="_blank">friam-bounces@redfish.com</a>&gt;
<b>On Behalf Of </b>Gillian Densmore<br>
<b>Sent:</b> Monday, April 4, 2022 3:25 PM<br>
<b>To:</b> The Friday Morning Applied Complexity Coffee Group &lt;<a href="mailto:friam@redfish.com" target="_blank">friam@redfish.com</a>&gt;<br>
<b>Subject:</b> [FRIAM] This is scary, and yet very cool...Ai neural networks making pictures, look really good<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">&nbsp;<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><a href="https://github.com/xinntao/ESRGAN" target="_blank">https://github.com/xinntao/ESRGAN</a><o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">&nbsp;<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">Stumbled across this looking for a way to gently adjust some old pictures of mine without watermarks (gigapixel), photoshop wasn't cutting it&nbsp; because not enough pixels or data
 in the originals.<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">&nbsp;<o:p></o:p></p>
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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto">I am beyond fascinated how do they do it? just guess based on colors and add more pixels with that color?<o:p></o:p></p>
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