Discover and read the best of Twitter Threads about #neuralnets
Most recents (2)
Just had a wild idea, so bear with me:
Imagine an #opensource #cryptocrowdfunding model for software products, the kind you buy from @awscloud @Azure @GCPcloud and also the smaller players like @digitalocean and @Rackspace m, where there are no hardware licenses. 1/
Imagine an #opensource #cryptocrowdfunding model for software products, the kind you buy from @awscloud @Azure @GCPcloud and also the smaller players like @digitalocean and @Rackspace m, where there are no hardware licenses. 1/
You don’t even have to run the software or have access to the hardware running it in this model. Instead of #softwarelicensing, #developers set #crypto #staking thresholds which act as #digitalaccesscontroltokens; #stake x of whichever #Crypto, or y of another, with a discount 2/
when using the project’s #sidechain. So you get staking setup, and essentially get #APIkeys which allow you to join the network in r/w mode. Or you could say to heck with all that, I just want to pay someone. You can pay the network directly to do the work the software does. 3/
A "worrying analysis":
"18 [#deeplearning] algorithms ... presented at top-level research conferences ... Only 7 of them could be reproduced w/ reasonable effort ... 6 of them can often be outperformed w/ comparably simple heuristic methods."
Paper:
lnkd.in/dTaGCTv
#AI
"18 [#deeplearning] algorithms ... presented at top-level research conferences ... Only 7 of them could be reproduced w/ reasonable effort ... 6 of them can often be outperformed w/ comparably simple heuristic methods."
Paper:
lnkd.in/dTaGCTv
#AI
[Updates worth tweeting]
2/
There is much concern about #reproducibility issues and flawed scientific practices in the #ML community in particular & #academia in general.
Both the issues and the concerns are not new.
Isn't it time to put an end to them?
2/
There is much concern about #reproducibility issues and flawed scientific practices in the #ML community in particular & #academia in general.
Both the issues and the concerns are not new.
Isn't it time to put an end to them?
3/
There are several works that have exposed these and similar problems along the years.
👏👏 again to @Maurizio_fd et al. for sharing their paper and addressing #DL algorithms for recommended systems (1st tweet from this thread).
But there is more, unfortunately:
There are several works that have exposed these and similar problems along the years.
👏👏 again to @Maurizio_fd et al. for sharing their paper and addressing #DL algorithms for recommended systems (1st tweet from this thread).
But there is more, unfortunately:
