Photos | Wired Website Advertisement Featuring Nicholas Negroponte
Nicholas Negroponte, founder of the MIT Media Lab, is featured in an advertisement for Wired magazine on the website's homepage.
BLIP-2 Description:
the wired website is shown on a computer screenChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
1018w x 473h - (download 4k)
Usage
Dominant Color:
world's sheets longest page clones science islands cayman magazine top sections probes aaas taken text register co pm clitorises meeting annual document rocket file webpage search wired poster server windows click obese electronics servers particles highlights read lab tiniest accelerator founder login threat debate blogs subscribe home bank tear level media mit feeds offline wikileaks nicholas negroponte floor gets stories watch rss advertisement universe's raelians
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00 02.17.08 02.18.08 02.19.08 10 12 2008 3 30 9 aaas accelerator am annual are bank blogs cayman click clitorises clones co debate electronics feeds floor founder from gets here highlights home in islands lab level login longest magazine media meeting mit obese of offline particles pm probes raelians read register rocket rss s science search sections server servers stories subscribe taken the threat tiniest to top u universe's watch wikileaks windows wired world's
date
2008-02-18T21:49:43-08:00
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-28800
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GMT-0800
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* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.