Photos | The Technological Future, as Seen by Christian Bale

Actor Christian Bale pours over documents and webpages, sporting a tech-inspired look complete with accessories and a ping pong paddle.
BLIP-2 Description:
wire magazine - the future of technologyMetadata
Capture date:
Original Dimensions:
1015w x 909h - (download 4k)
Usage
Dominant Color:
uniform billions quickly producing normally precise science paddle image machines bullock possibilities potential mason's mass reflect text design nanoengines fashion microparticles nanogears future production search large parts wafer wired researchers demand friend diffraction electronics los particles tiny issue ping stumble stories print ford team racket henry page top gallery sections beyond designed buzz shapes left letters using machine line dave webpage small time angeles microfabrication different nanomachines like complicated read dugg include christian bale powerful grating mason behind industry awaits materials previous quantities sharethis explains reality microchip make less solid one kinds submit lead bag security document glove nanotech found thomas ultimate currently dr gemstone sport light get scenes messenger subscribe details highly fabrication prototypes new ucla idea create sheets process yahoo magazine diggs multimedia move scale tals class illustrate customizable nano pong file hardware silicon microscopic exist microscale click anticipation millions ปปี email jewelry accessories goal lab computer hardware next tear blogs home go created discoveries human free statement assembly
Detected Text
07.19.08 1 10 3 9 a about an and angeles anticipation are as assembly at awaits b bag behind beyond billions blogs bullock buzz by can class click com complicated create created currently customizable dave demand design designed details different diffraction diggs discoveries dr dugg email exist explains fabrication fashion for ford found free friend from future gallery get go goal grating has have henry here highly home human idea illustrate image in include industry is issue it its just kinds lab large lead left less letters light like line los m machine machines magazine make mason mason's mass materials messenger microchip microfabrication microparticles microscale microscopic millions move multimedia nano nanoengines nanogears nanomachines nanotech new next normally of on one other own particles parts photo possibilities potential powerful precise previous print process producing production prototypes quantities quickly read reality reflect researchers scale scenes science search sections security shapes sharethis silicon small solid statement stories stumble submit subscribe tals team than that the these this thomas through time tiny to top ucla ultimate uniform using wafer we wired would yahoo ปปี
date
2008-07-18T21:31:42-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(11.49%)
curation
(25.00%)
highlight visibility
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behavioral
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failure
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harmonious color
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immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
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intrusive object presence
(-3.96%)
lively color
(23.79%)
low light
(0.02%)
noise
(-4.57%)
pleasant camera tilt
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pleasant composition
(-29.20%)
pleasant lighting
(2.40%)
pleasant pattern
(2.69%)
pleasant perspective
(11.63%)
pleasant post processing
(2.26%)
pleasant reflection
(-2.04%)
pleasant symmetry
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sharply focused subject
(5.52%)
tastefully blurred
(45.09%)
well chosen subject
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well framed subject
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well timed shot
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all
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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.