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"I've yet to see any AI platform that is mindbending" 1. Siri / Alexa and similar for voice recognition and doing basic tasks. 2. Face recognition for uploade
by Maro 7y ago
"I've yet to see any AI platform that is mindbending"
1. Siri / Alexa and similar for voice recognition and doing basic tasks.
2. Face recognition for uploaded pictures on Facebook.
3. Lots of people use FaceID on iPhones.
4. Tesla and other SDC systems: yes, it's not good enough for general use, but the fact that it mostly works in California is pretty cool..
"Mindbending" is subjective, but these all use DNNs, and are used by millions to billions of people every day. So it's incorrect to suggest that all DNN use-cases could be replaced with "doing basic math with a multivariate normal distribution".
- arpa 7y ago1, 2 and 3 are absolutely mundane. One could argue that if anything, they are disappointing: i remember passable speech recognition running on pentium 2 with 32 megs of ram (dragon naturally speaking was first released in 1997). "Natural" language parsers were around starting with the first text adventures (80s as far as I remember). Considering the computing resources big G and big A have, the performance of this "AI" is mediocre at best. Facial feature extraction is not rocket science either, it dates back to at least 1993, so 386/486 with 4-8 megs of RAM. You want mindbending and scary? Mindbending: deepfakes. Scary: automated ai-based law enforcement.
- useful 7y agoimo, working memory at scale via improvements to more obscure methods like a DNC is what will be the next leap and make todays 'AI' seem mundane. Most AI today like deepfakes involve giving the model all memories available via input.
- arpa 7y agoScaling SHRDLU in a similar manner would also rock, though.