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Also worth noting are clever things like the new gmail search (via the lab) that suggest rather clever search strings based on your clumsy human attempts to control the beast.
And as for hashtags - twitter search is now so powerful that most things that warrant a # work just fine without.
All in due time :)
That said, perhaps Twitter could do away with the symbols with a little help from http://www.wolframalpha.com/
Not advocating this as a good thing, just simply stating it is very possible. It's much easier to train a human to be more machine like than the other way around.
On the other hand, there are already some great improvements in human computer interaction, like the verbs being used in Mozilla's Ubiquity for instance.
Nonetheless, we are still far from finished.
Reply in Machine Language please HEH
heh 221 up, 79 down
Coversational putty, used mainly on IRC to smoothen the flow of chat. Can be used to acknowledge another person's speech, while not actually responding to it. Can also be used as an equivalent of throat-clearing, indicating that you have something to say which will follow afterward.
If you want the subject of the tweet to be automatically inferred by Twitter, then we would probably need to help it along. Again, provide options. Users comfortable with # notation and want to make absolutely sure that Twitter gets the subject right, use the # notation. Users who want the system to infer the subject do not use # notation, and take their chances. Over time (probably a very short time, due to volume of tweets) Twitter learns what a tweet about a particular subject looks like, taking into account all available information. The tweeters that take their chances with natural language would get better and better results as more tweets come in, and everybody is happy.
The changes necessary to implement this sort of behavior are not trivial, but they are not insurmountable either. It all comes down to how much Twitter wants to capture these potential non-computer-savvy users.