I once had someone make the case I could be fired because of comments similar to the ones I've made here.
-
-
Replying to @danluu @vyodaiken and
IMO we're v. sensitive to this because we incentivize publishing bogus papers and produce more than our share.
1 reply 0 retweets 0 likes -
well, I don't think industry authors are making the overall bogus paper problem any worse, on average
1 reply 0 retweets 1 like -
Ok, fair enough, but I think that we should know better. "We" often claim 2x gain when real system is a no-op.
1 reply 0 retweets 1 like -
Replying to @danluu @johnregehr and
Many of the bogus academic papers I read just dont build out something where you could measure the real effect
1 reply 0 retweets 3 likes -
Replying to @danluu @johnregehr and
or they just have no idea what the baseline should be. IMO that's a lot more excusable than what "we" do.
1 reply 0 retweets 1 like -
fair enough
1 reply 0 retweets 0 likes -
when in a pessimistic mood, I think all papers have some bullshit—but industrial bullshit is harder to detect
1 reply 0 retweets 1 like -
I feel like different companies have different flavors of bullshit.
2 replies 0 retweets 2 likes -
Google often leaves out the things you'd most want to know if you were reimplementing the system.
1 reply 0 retweets 1 like
"We" are relatively likely to claim a 2x improvement when the system is a no-op or didn't even work.
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.