ryankupyn
Joined 14 years ago
Joined 14 years ago
For instance, an alleged car bombing in Donetsk right before the invasion was staged using cadavers,[1] and a video used to claim that Ukrainian troops were moving aggressively into separatist territory was filmed far from its purported location.[2]
If Russia was so sure that Ukraine was committing these atrocities, they wouldn't need to rely on fake videos to justify attacking.
[1] https://www.bellingcat.com/news/2022/02/28/exploiting-cadave...
[2] https://www.cnn.com/2022/02/22/europe/russia-videos-debunkin...
Of course, there are grey areas here - certainly there are existing missiles that can be launched without a defined target and programmed to aim for anything that, say, has radar emissions that match known enemy systems.
Although submarines are more effective navigating through storms, one could simply wait for the storm to pass when shipping non-time-sensitive cargo, then use a regular surface cargo ship (which could be automated if desired just like the submarine). Surface ships also have the advantage of compatibility with our already-established shipbuilding and maintenance infrastructure, while a submarine would require the proliferation of new skills and tools to support it.
For time-critical cargo (where one can't wait for a hypothetical storm to pass), it's likely aircraft would be a better option for most shipments - certainly in severe storms aircraft can't operate either, but in that case the very act of loading and unloading the submarine would be hazardous as well.
I'm sure that there is a great deal of discussion about potential anticompetitive issues within Google and with their outside counsel, but in a context where legal privilege protects against disclosure.
At the same time, there isn't much of an outside market for algorithmic bias info in the same way there for security vulnerabilities. Probably the biggest effect of this reward will be to pull some grad students who were going to study algorithmic bias anyways towards studying Twitter specifically - after all, there aren't any rewards for studying the algorithmic bias of other companies!
Any business with the technical ability to censor what they host is going to be tempted (and likely pressured by other actors) to take down content that people find objectionable. Removing these "chokepoints" where a small number of people have the ability to engage in mass censorship is key if you want to promote more diverse speech on the web. (Not everyone has this goal!)