4 ms·
The resulting model is shared, so everyone who gives their compute time will benefit from it. Neural networks automatically error correct so they will be robus
by ma2rten 6y ago
The resulting model is shared, so everyone who gives their compute time will benefit from it.
Neural networks automatically error correct so they will be robust to some amount of corruption.
- ben_w 6y agoHow well has this been characterised when some participants are actively malicious rather than wrong? Reason I ask is, you can absolutely bet that states will attempt to cause interesting failure modes in other states’ A.I. — imagine if self-driving cars had a literal blind spot for the fifteen senators most aggressive towards [rolls dice] Agrabah?
- imtringued 6y agoLet people create accounts and introduce a reputation system. There could be a ranking system. Rank I verifies 100% of submitted jobs. Rank II verifies 50% of submitted jobs. Rank III verifies 25% of submitted jobs. Rank IV verifies 12.5% of submitted jobs. Rank V verifies 6% of submitted jobs. After 250 jobs you go to Rank I, after 500 to Rank II, after 100 to Rank II and so on... If you submit a job with incorrect results then you lose your account and all unverified jobs submitted by that account are then verified. If you're a honest person you'll just create a new account, if you're a malicious actor then you just wasted a lot of money on nothing because doing a bait and switch will result in your malicious jobs being discarded. There is still an opportunity for denial of service by creating lots of reputable accounts and then letting them go malicious all at once. You'll have a large backlog of jobs to verify.
- ben_w 6y agoSounds like the kind of things goverments would do, although perhaps I’m listening to too many works of fiction?