[hanbura]

command lines are powerful, but only make sense for power users because they lack discovery and require more memorization than GUIs.

Simple voice interfaces suffer the same problems as command line interfaces while being less flexible and slower to use than even GUIs.

The best voice interfaces have made good progress on most fronts, but discoverable voice are still a big problem. Instead of reading a bunch of buttons, you usually have to guess what features might be implemented. Or you go the route of phone system menues, but everyone hates those

[whataretensors]

My prediction:

AI will make computers able to understand people perfectly.

Gesturing, talking, writing, any input. The semantic gap will eventually be automatically traversed by understood intent.

[norlys]

My prediction is that this is wrong. They'll be able to understand widely used terms, but once you start speaking in a more creative way it will fail. At least if there is no change in the construction of AI - because the subtleties of everyday language are not 'understandable' just via empirics. Reading tip: Douglas Hofstadter's article "The Shallowness of Google Translate".

[whataretensors]

Thanks, it was interesting.

From the article: "To my mind, translation is an incredibly subtle art that draws constantly on one’s many years of experience in life, and on one’s creative imagination."

This is true, I just think that we'll arrive at the tools to accomplish this in the future.

Specifically I think(hope) it will be through clever application of GANS and reinforcement learning after a few more applications of moore's law.

Advanced AI would be able to learn about us through replaying years of possible generated experiences.

[imtringued]

Not even humans understand humans perfectly.

[bwbw223]

Lack discovery? What is `man` or `info`?