2020 was different from 2024. It was a very unique set of circumstances with an election in the middle of pandemic, with an incumbent who was never broadly popular, amidst utterly terrible economic conditions.

Still, Trump’s base showed up, just as they did on Tuesday.

Biden had the benefit of all the unlikely voters not being able to ignore the country burning down around them, he got a lot of dissatisfied people who don’t pay attention to politics to come out.

Harris didn’t, she got the Dem base. People broadly dissatisfied at the state of things probably voted Trump since he isn’t the incumbent.

Just how it works - voters don’t have to be rational.

I really doubt double-digit millions of voters sat out because of Gaza.

Kamala’s vote total is roughly in line with what would be expected looking at 2008, 2012, and 2016. The massive turnout in 2020 on the Dem side appears to be an abberation - it was unique circumstances with COVID and all that. On the Republican side, Trump ran slightly ahead of his 2020 performance, and well ahead of 2016.

It’s basic electoral politics: Trump has succeeded at expanding his base of support and turning them out to vote reliably. The Democrats have not. No single issue is responsible for that.

You can blame protests or Gaza or third parties or whoever else you want - the truth remains that the Dem base from the Obama years is not large enough and not appropriately distributed to win an election against Trump’s base; whatever else you think of the man, he has been very good at gaining and retaining support.

The momentum is the same, the impulse (and therefore forces) are very different. The bullet is propelled down the barrel gradually - the force is spread through the entire time it takes the bullet to travel the length of the barrel, the reaction forces are applied to the stock gradually, and spread over the area of contact between the shooter and the gun.

A bullet stopped by a vest/plate has a much larger impulse. The bullet needs to be stopped essentially immediately, rather than gradually slowed down over a length equivalent to a rifle barrel, otherwise it kills you. The force is also more concentrated, occuring over the cross-sectional area of the bullet, rather than over the entire contact surface with the rifle.

It depends on the type of fusion.

The easiest fusion reaction is deuterium/tritium - two isotopes of hydrogen. The vast majority of the energy of that reaction is released as neutrons, which are very difficult to contain and will irradiate the reactor’s containment vessel. The walls of the reactor will degrade, and will eventually need to be replaced and the originals treated as radioactive waste.

Lithium/deuterium fusion releases most of its energy in the form of alpha particles - making it much more practical to harness the energy for electrical generation - and releases something like 80% fewer high energy neutrons – much less radioactive waste. As a trade-off, the conditions required to sustain the reaction are even more extreme and difficult to maintain.

There are many many possible fusion reactions and multiple containment methods - some produce significant radioactive waste and some do not. In terms of energy output, the energy released per reaction event is much higher than in fission, but it is much harder to concentrate reaction events, so overall energy output is much lower until some significant advancement is made on the engineering challenges that have plagued fusion for 70+ years.

The argument the person above you is making is that they also profit off people who never file claims in the first place. In fact those people are more profitable since they do not consume labor to process claims.

The Byzantine system of rules and coverage exemptions exists to disincentive people from filing claims just as it exists to give leeway to deny them.

Of course the overall point that paid claims must be less than premiums charged (and investment income) is correct.

An inherent flaw in transformer architecture (what all LLMs use under the hood) is the quadratic memory cost to context. The model needs 4 times as much memory to remember its last 1000 output tokens as it needed to remember the last 500. When coding anything complex, the amount of code one has to consider quickly grows beyond these limits. At least, if you want it to work.

This is a fundamental flaw with transformer - based LLMs, an inherent limit on the complexity of task they can ‘understand’. It isn’t feasible to just keep throwing memory at the problem, a fundamental change in the underlying model structure is required. This is a subject of intense research, but nothing has emerged yet.

Transformers themselves were old hat and well studied long before these models broke into the mainstream with DallE and ChatGPT.

There is always a tension between security, privacy, and convenience. With how the Internet works, there isn’t really a way - with current technology - of reliably catching content like that without violating everyone’s privacy.

Of course, there is also a lack of trust here (and there should be given the leaks about mass surveillance) that the ‘stop child porn powers’ would only be used for that and not simply used for whatever the powers that be wish to do with them.

The world bank isn’t involved so much in printing money - that’s central banks like the US Federal Reserve or European Central Bank.

They do love to force developing nations to adopt US-style capitalism by withholding loans for needed development projects. They also focus far too much on increasing GDP at all costs and do not give really any weight to increasing living standards or reducing inequality. Basically, think loans to institute Reaganomics and you won’t be too far off.

The loans pay for large capital projects (power plants, large-scale irrigation, etc) that are built by the state and then mandated to he handed over to private entities that then charge rents and extract wealth. Not every loan and program is bad, but there’s plenty to give pause when they are involved in a project.