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My opinion is that it is a very long-term goal. Compare it to the autonomous car, getting the first 90% of a complete autonomous car is much easier than the las
by jorgemf 9y ago
My opinion is that it is a very long-term goal. Compare it to the autonomous car, getting the first 90% of a complete autonomous car is much easier than the last 10%. With AGI probably it is the same. Deep learning has got traction the last years, but we are almost using the same algorithms than 20 years ago, just in better hardware (plus some tweaks to make them work with bigger models). But I think we know almost nothing about how to achieve AGI. Just compare our deep learning models with the models we have from our brains, they are a subset of what we know about our brains. And I don't think we know a lot about our brains, but very little.
- randcraw 9y agoAgreed. To date, Deep Learning has accomplished outstanding levels of discrimination and classification by combining supervised learning with probabilistic pattern matching. But it's widely acknowledged that most human learning is unsupervised and relies heavily on building upon large hierarchies of facts, their interdependencies, and a deep reliance on causation, none of which DL has yet shown any real facility toward realizing. One-shot examples of one-shot learning doth not a facile brain make. Until DL shows significant progress toward these -- building knowledgebases and enabling their reuse -- and does so at the superlinear rate of development it's achieved for pattern recognition, I think it's likely that further development of the missing components of AGI will remain gradual and decades away.