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You're comparing a single system developed years ago to everything ever produced with neural networks (which refer to a whole family of different architectures)

by gambler 10y ago

You're comparing a single system developed years ago to everything ever produced with neural networks (which refer to a whole family of different architectures). > A result from AM/Eurisko doesn't mean much. A result from a deep network may be a crack in the dike which is about to explode and solve longstanding challenges like Imagenet. Sounds like extreme and unsubstantiated bias. Statements like this is why I am highly skeptical of the current neural network hype.

aab0 10y ago
> You're comparing a single system developed years ago to everything ever produced with neural networks I am comparing a single system and all its variants and followups to another family. Oh wait, there aren't any variants and followups to AM/Eurisko except Cyc. Huh. How about that. > Sounds like extreme and unsubstantiated bias. ImageNet? AlphaGo? SOTA on language parsing, classification, and prediction tasks? Human-level performance on scores of Atari games? High-quality image synthesis, unsupervised and from textual descriptions? Predictions of visual cortex activations? Program synthesis? If you aren't impressed, you aren't paying attention.
- gambler 10y ago
  You've watched far too many Hinton videos. Cyc belongs to the family of rule-based expert systems. Expert systems were successfully used in medical diagnostics, chemistry, biology and various branches of engineering. Not to mention countless "trivial" applications in planning and logistics for businesses. I could also make a case that DeepBlue was an expert system, and thus add "superhuman performance in chess" to the list. Saying that results from an expert system don't matter (simply because it's an expert system), while believing equivalent results from an ANN will "explode and solve longstanding challenges" (simply because it's "neural") makes no sense. ANNs are not magic.

by gambler 10y ago

aab0 10y ago

> You're comparing a single system developed years ago to everything ever produced with neural networks I am comparing a single system and all its variants and followups to another family. Oh wait, there aren't any variants and followups to AM/Eurisko except Cyc. Huh. How about that. > Sounds like extreme and unsubstantiated bias. ImageNet? AlphaGo? SOTA on language parsing, classification, and prediction tasks? Human-level performance on scores of Atari games? High-quality image synthesis, unsupervised and from textual descriptions? Predictions of visual cortex activations? Program synthesis? If you aren't impressed, you aren't paying attention.

gambler 10y ago
You've watched far too many Hinton videos. Cyc belongs to the family of rule-based expert systems. Expert systems were successfully used in medical diagnostics, chemistry, biology and various branches of engineering. Not to mention countless "trivial" applications in planning and logistics for businesses. I could also make a case that DeepBlue was an expert system, and thus add "superhuman performance in chess" to the list. Saying that results from an expert system don't matter (simply because it's an expert system), while believing equivalent results from an ANN will "explode and solve longstanding challenges" (simply because it's "neural") makes no sense. ANNs are not magic.