“I think for things like programming, it's really hard to see it changing significantly. And it's sort of almost It's very difficult to imagine what would actually do a much better job of this outside of a general AI that's better at programming than we are. So I don't think we're gonna lose physical keyboards for programming for quite a long time. That would be my guess.”
quote is from the automated transcript, cleaned for reading:
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More from Ben Medlock
AssertionNot checkable as stated
Medlock: 2015 AI technology cannot abstract concepts across domains
“This is what the human brain does so incredibly well, and what our technology today is currently almost entirely unable to do.”
Ben MedlockApr 2, 2015▶ 5:37Ben Medlock, SwiftKey // Building a Better Keyboard // Data Driven NYC (FirstMark Capital)
Insight
Ben Medlock: Touchscreen typing is an inference problem, not a mechanical one
“This is a virtual keyboard, and the problem of typing was now not a mechanical problem. It's an inference problem, and that means that there is a degree of uncertainty.”
Ben MedlockApr 2, 2015▶ 6:40Ben Medlock, SwiftKey // Building a Better Keyboard // Data Driven NYC (FirstMark Capital)
AssertionPartly supported
Medlock: SwiftKey is used on close to a billion devices worldwide
“We designed this in 2010, and it's now used on close to a billion devices worldwide.”
Ben MedlockApr 2, 2015▶ 7:42Ben Medlock, SwiftKey // Building a Better Keyboard // Data Driven NYC (FirstMark Capital)
Disclosure
Medlock: SwiftKey chose independent probability distributions over neural networks for tractability
“And we took the first one of these because it's a lot easier and a lot more tractable.”
Ben MedlockApr 2, 2015▶ 9:44Ben Medlock, SwiftKey // Building a Better Keyboard // Data Driven NYC (FirstMark Capital)
Insight
Medlock: N-gram models are extremely hard to beat in voice recognition
“If you've done anything in voice recognition, you will know that it's really, really hard to beat Ngram models.”
Ben MedlockApr 2, 2015▶ 11:10Ben Medlock, SwiftKey // Building a Better Keyboard // Data Driven NYC (FirstMark Capital)
Insight
Medlock: Neural network language models are a highly promising research avenue
“Another possibility is to move away from engrams and towards neural network-based language models, which is a really promising, ah, avenue of research at the moment.”
Ben MedlockApr 2, 2015▶ 11:49Ben Medlock, SwiftKey // Building a Better Keyboard // Data Driven NYC (FirstMark Capital)
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