Visual recognition

I think that's inherent in any videophone test because the human doing the test will communicate with visual cues to the computer, which it must be able to read.

My goal here has some similarity to Loebner's but at the core of what I propose is not so much making the test harder, as making the test more convincing to the general public. I believe we are likely to create good code for audio/visual recognition and generation before we develop AGI, so these goals don't make the test any harder to pass. They just make the public better able to understand what passing means.

Reply

Please enter Brad's last name above. Case doesn't matter
The content of this field is kept private and will not be shown publicly.
  • Allowed HTML tags: <a> <em> <strong> <cite> <code> <ul> <ol> <li> <dl> <dt> <dd>
  • Web page addresses and e-mail addresses turn into links automatically.
  • Lines and paragraphs break automatically.

More information about formatting options