Which problems are best solved by machines & algorithms and which are social?
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Replying to @hpdailyrant
@hpdailyrant Getting a rocket to whip around a few planets and land on an asteroid takes machines and algorithms. The rest? Who knows. ;)1 reply 0 retweets 0 likes -
Replying to @DaveHogue
@DaveHogue I was thinking about IoT & Robotics and AI. We use robots in surgery -- tasks where the machine has no "consciousness"4 replies 0 retweets 1 like -
Replying to @hpdailyrant
@hpdailyrant calculations, probability, atomic precision, repetition unaffected by boredom, are well-suited to machines. :)2 replies 0 retweets 0 likes -
Replying to @DaveHogue
@DaveHogue Under the hood, human interactions inform machine learning. These 2 are the levers that build context.1 reply 0 retweets 0 likes -
Replying to @hpdailyrant
@hpdailyrant What's the 2nd lever? Human interaction & __? I don't see how machine learning is a lever that builds context - it reflects it.1 reply 0 retweets 1 like -
Replying to @DaveHogue
@DaveHogue Eg. meaning and relationships are always evolving. That impacts how we search, discover and interact.1 reply 0 retweets 0 likes -
Replying to @hpdailyrant
@hpdailyrant that is true. Society today is very different than 100 years ago, yet we are still social even with different meaning & context1 reply 0 retweets 0 likes -
Replying to @DaveHogue
@DaveHogue In product strategy, we do frame the question of social as means or goal because it drives the engagement model, product design1 reply 0 retweets 0 likes
@hpdailyrant but where does machine learning fit in if both means and goals are social? The old Eliza program was always a machine...
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