Photos | Wired Magazine Website Overview
A woman looks at the Wired Magazine website on her phone, scrolling through articles and advertisements. The webpage features bold graphics and text, along with a file cabinet and a rat, highlighting the intersection of technology and culture.
BLIP-2 Description:
wired magazine website screenshotChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
1007w x 493h - (download 4k)
Usage
Dominant Color:
game security mainstream hardware poster tech end casual dna converter approaches gun tear electronics document gaming webpage biophysics lucrative tattoo tv animal media need places saving analog vaccines know science phone control sheets computer epicenter read magazine subscribe code going scarce logout potent boxes geekipedia now wire text matters stories advertising viable advertisement rodent feeds ideas est machine med thanks blogs trends humble industry top search mammal sections rat pm iphone guns wed mobile life rss biz file feb
Detected Text
00 02.06.08 02.07.08 06 12 149 20 2008 3 30 4 50 7 am analog and approaches are as be biophysics biz blogs boxes by casual code control converter d149 dna end epicenter est feb feeds for game gaming geekipedia going gun guns humble ideas industry iphone is know life logout lucrative magazine mainstream matters may med need now of people places pm potent read rss saving scarce science search sections security stories subscribe tattoo tech thanks the to top trends tv vaccines viable wed wire with you
date
2008-02-07T15:41:58-08:00
tzoffset
-28800
tzname
GMT-0800
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pleasant post processing
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* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.