Sadly, longer jail time is purely placebo. Plenty of studies show jail time has no incidence on crime rate. Sure, locking people for longer would delay recidivism, but we could do better than that.

It's not about logic though. Longer jail time proponents do lean on the emotional argument of a few anecdotal cases or recidivism. This tend to make flashy headlines and stick with the population.

I don't have confidence in any majority government. The elected party doing as they want and ignoring part of the electorate is a failure of democracy. Every motion should be evaluated on its merit, not through agreements of party support. In that sense, the likelihood of a majority Conservative after an election would be a bad thing.

As a bytecode tinkerer, I'd say considering NOP to be global knowledge is a slippery slope.

just tag yourself as "early-access" and suddenly everyone will forgive your flaws.

As a developer, I really don't like how Wayland has fractured the ecosystem. Competing immature protocols are still all over the place while the immobility of x11 has spoiled us for years. It's getting better, but in the meantime I can still write an x11 app which will work mostly everywhere (thanks to xwayland), whereas a wayland app may not work everywhere (not on X11, and not on compositors which don't implement the right combinations of protocols).

Hacker: That's ok, we don't want you to paste stuff in there, we just want you to send us your cookies. It's not like you're eating them anyway…

Consider IEEE754 arithmetic as monadic, simple!

Someone is confusing indices and cardinality.

The dude trying to push Django in 2003

The EU is basically slapping Canadians with a reciprocal policy. Canada has the eTA (electronic travel authorization) which they have to file and pay 7$ to visit, even if they don't need a visa. This is the same in reverse.

This! I see the hype around AI and it's like everyone has lost their mind. You wouldn't accept a statistical study without sampling info (dataset size, origin, selection, filtering, bias, reproductibility, etc). Why would we not ask the same with LLM or generative AI? It's like everyone got so excited about models built on large datasets that they forgot we already had procedures for handling data.

You might be surprised how inefficient banks can be when it comes to tech. As years go by I see an increase of tech workers but a decrease of experienced or competent ones. My view is those competent tech workers tend to be more expensive than Canadian companies are willing to pay, thus end up hiring 10x the staff. The banks simply have more money to waste that way and thus are doing so by hiring a lot of tech workers.