This has everything to do with our societies being powered by fossil fuels and nothing to do with bitcoin. High energy usage may be deemed wasteful, but if it was coming from solar power, it wouldn't be bad for the planet.
Life pro tip, if you don't want to be seen as a "crazy" person, slap on a pair of headphones and activate your phones voice recorder. You can pretend to be on a phone call, record your thoughts, and no-one will be any of the wiser.
Well maybe... it's certainly a different approach than being tracked, surveilled and served up personal ads.
Brave is using cryptocurrency as an alternative revenue model for content creators than advertisements, and in some ways it's much more of a "white mirror" kind of tech.
I think the key here to replicating the success is the deployment of deep learning effectively. But I would argue that deepmind's resource pool is immense, it's backed by Google. The resources of GPU's (and more advanced TPU's) are in abundance... not to mention the many brilliant PhD scientists who work there.
Blizzard took away the winnings from one of their own loyal / hard working gamers, whom other gamers are sympathetic to as it could have been "them". This was a public forum with a specific person who seemingly did nothing wrong being punished unfairly, leading to the controversy were seeing.
Apple just removed some apps that people in the west weren't really using that much. More anonymous and somewhat blameless, a-lot of people aren't app developers and can't relate to that experience.
Great question, one could use existing known chemicals as a starting point. There could be a potential to use fMRI readings on a model organism in realtime to generate data.
This is a good example of where UX means a different thing to the user than to the developer. Just because it's available on another page doesn't mean the customer is going to take the time to go figure that out. Take these criticisms graciously and learn how your user's use your software it's going to improve your products immensely.
> How do you arrive at that 5% base chance? I actually don’t know an analytic way of arriving there, but you can get there experimentally pretty easily by just writing a loop that runs through this a million times and then tells you how often it succeeded or failed. Then you build a lookup table that contains the percentages.
I'm no stats expert by any means, but couldn't you calculate the percentages of each event occuring (and the amount to increment) using bayesian modeling?
Simply taking the product of a string of actions and calculating those seems like an acceptable solution, however I'm not sure.
The author seems to use a calculation approach, which if I understand correctly is a valid method and is sampling the distribution. But then again, not sure.