Photos | Silicon Valley Sleeth: A Document Snapshot

Silicon Valley Sleeth: A Document Snapshot

Caption

A screenshot of a webpage featuring a text file, captured in 2007, showcases the busy and innovative nature of Silicon Valley. #TearSheets #Page #Webpage #Text #File #Document #2007

BLIP-2 Description:

silicon valley sleeth - screenshot

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Metadata

Original Dimensions:

750w x 829h - (download 4k)

Dominant Color:

us  leaks  particularly  amd  barriers  view  nobody  inside  usability  working  rightfully  week  text  vista's  black  keys  listen  claiming  claimed  true  frl  mon  technology  search  ipods  business  blows  windows  gaming  sat  sleuth  virtualization  epidemic  mistake  burst  knowing  massively  live  thu  virtual  case  service  disruptive  chip  error  page  doesn't  equipped  afford  insider's  gases  flawed  system  company  aim  webpage  engineers  operating  digg  now  printing  rule  compromise  time  hypervisor  watchdog  researcher  assess  tue  vulnerability  valley  computing's  used  margin  malware  september  affect  rss  hacked  posts  sits  pr  make  limit  sniffing  money  stupid  one  kinds  user  challenge  continue  nunet  security  document  fact  sun  world  still  exploited  talking  account  internal  video  demonstration  os  processor  nasty  cake  turn  since  plece  spyware  save  vista  wars  controls  new  preclude  botnets  bubble  microsoft  create  proven  sheets  yahoo  worms  featured  joanna  main  validated  conference  ability  far  mess  hat  secure  google  current  recent  x  software  customer  offensive  blog  build  file  actual  syndication  entire  ever  damage  no  silicon  spanish  whitepapers  chipwars  wed  surprised  demonstrated  rutkowska  obesity  licensing  result  without  youtube  tear  greenhouse  attackers  go  automobile  phone  symantec  issues  scary  newsgator  priority  

Detected Text

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date
2007-11-19T10:44:14-08:00
tzoffset
-28800
tzname
America/Los_Angeles
* 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.