The main flaw in superintelligence arguments is to think of intelligence as an intrinsic property of an agent, like the height of a tower.
-
-
Replying to @fchollet
One can view intelligence as the capability to find regularities in data. Compression ratio's are objective measure: https://pdfs.semanticscholar.org/43e5/b43965aa4099e75110e4fd8e5458efb82fd8.pdf …
1 reply 0 retweets 7 likes -
MLWave Retweeted François Chollet
Not to pull a Donald Trump on you, but see this tweet from 2015https://twitter.com/fchollet/status/568998165354926081 …
MLWave added,
2 replies 1 retweet 4 likes -
Replying to @MLWave
And so Dr. Chollet, when is LZMA going to enslave humanity?
1 reply 0 retweets 4 likes -
Compression is a attractive, even universal, notion for learning. However, it also ties down to a prior (which is harder to formalize).
3 replies 0 retweets 7 likes -
Replying to @_onionesque @MLWave
I take the "cognition == compression" concept seriously, but not literally. My actual views are a lot more nuanced ;-)
2 replies 0 retweets 4 likes -
It is not enough to represent available data in a compact form, one must also discard massive amounts of data, & pick wisely what to discard
3 replies 2 retweets 6 likes
So cognition is compression, but a very lossy form of compression tied to a specific objective function that is not intrinsic to the data
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.