It's a shame GitHub never promoted it. At one point they even disabled it for existing users, and since then it's only been available to users who happen to find it under "Feature Preview".

https://github.com/orgs/community/discussions/166528

I don't see any mention of address forwarding on the website, is this a supported use case?

Or take it a step further, write a test suite and automatically generate a range of possible laws that satisfy the tests.

"The entry barrier to programming needs to be high!"

The web was always decentralised, but various motivations and reasonable tradeoffs caused it accumulate a lot of crap. Maybe the point is that Web3 isn't really different in this respect.

But how different are humans? If you take a homo sapien in isolation and a chimpanzee in isolation (I know there's no such thing but for the sake of argument), how much difference is there really? Biologically it's not much. Even neurologically, we've basically got the same hardware with a bit more bandwidth for sensory processing, and a bit more processing power for higher order functions like planning and analysis.

The archeological record would seem to indicate that it took many tens of thousands of years for these minor fundamental differences to develop into something obviously qualitative. Whether you call these fundamental differences qualitative or quantitive to start with seems like a pretty subtle difference of perspective.

There are areas of psychology that rely on methods that are not scientific, because their subject of study is too hard to approach in a rigorously scientific way (though that doesn't mean it's not legitimate knowledge creation, it just comes with more caveats).

But there are also areas of psychology that can be, and are studied with scientific rigour, such as with similar experimental designs to biology.

As someone who has formally studied psychology, the main impression this article makes is that the author knows very little about the contemporary academic discipline of psychology, and is just a bit arrogant about it.

They're wrong of course. Diamonds are flammable and also decompose (slowly) in sunlight.

It sounds outrageous that a big company does so much business and doesn't end up paying lots of taxes, maybe it's suspicious, but it's only a necessarily problem if you make some flawed assumptions about how the business works.

There are different theories about the social value of enterprise, but in general businesses are meant to reinvest revenue into developing the business, and only taxed on what is taken as profit, such as to be payed to shareholders. That this incentivizes direct reinvestment is a feature, not a bug. It's just that amazon takes this to an extreme in prioritizing reinvestment over profit.

Does Amazon also structure its operations to optimize its tax posture? Of course, they're obliged to as a publicly traded company.

Overall is this an optimal/fair situation? Probably not. But the problem is really an inevitable outcome of the way that tax laws are setup. Amazon's only major moral failing here is simply in being a large multinational, with an expansionist business model.

I get that mapping from an auditory stream onto a score is an interesting problem, but isn't it naturally decoupled from the visual processing problem of reading and segmenting images of sheet music?

Wouldn't it make more sense to deal primarily with a digital intermediate encoding of the score?

What am I missing?

https://engineering.linkedin.com/distributed-systems/log-wha...