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

Chronologically Adjacent

Previous chronologically
Next chronologically
Note: You can also navigate with your arrow keys or swiping.

Metadata

Original Dimensions:

750w x 829h - (download 4k)

Dominant Color:

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

Detected Text

1  10  100  11  12  13  14  15  16  17  18  19  2  20  2006  21  22  23  24  25  26  27  28  29  30  8  9  ability  aim  amd  attackers  actual  all  assess  automobile  bubble  blóg  burst  cake  case  chip  claimed  company  computing's  conference  controls  current  customer  damage  demonstration  digg  engineers  epidemic  error  frl  gaming  gases  go  google  greenhouse  inside  internal  if  it's  keys  leaks  live  licensing  limit  main  money  mess  microsoft  mon  nasty  nobody  now  os  obesity  priority  printing  processor  proven  rss  sat  save  service  silicon  software  sun  scary  search  secure  security  spanish  still  stupid  symantec  tue  thu  time  turn  us  usability  validated  video  vista  valley  view  virtual  virtualization  vista's  vulnerability  wars  watchdog  world  wed  why  windows  x  yahoo  youtube  a  about  account  affect  afford  after  an  and  barriers  be  black  blows  botnets  build  business  can  challenge  chipwars  claiming  compromise  continue  could  create  demonstrated  disruptive  doesn't  entire  equipped  ever  exploited  face  fact  far  featured  flawed  for  from  hacked  has  hat  how  hypervisor  ipods  in  insider's  is  issues  it  joanna  just  kinds  knowing  listen  make  malware  margin  massively  might  mistake  more  most  new  newsgator  no  not  nunet  of  offensive  on  one  operating  out  particularly  phone  plece  posts  pr  preclude  recent  researcher  result  rightfully  rule  rutkowska  september  should  since  sits  sleuth  sniffing  so  spyware  surprised  syndication  system  talking  technology  that  that's  the  this  to  true  up  used  user  was  we're  web2.0  week  whitepapers  will  with  without  working  worms  you  your  
* 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.