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.

But if you could see them, they could see you …

The ideal answer is compost, regenerative agriculture, and (better treated) human-sources waste.

Organic crop yields will almost certainly reduce a bit without animal waste fertilizer, but that is fine since crop consumption will fall by a greater amount due to not needing to feed a bunch of extra animals.

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.