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If position were measured instead of range this could be used to document activities-of-daily-living, for the elderly or to measure health information for anyone (humans or pets). Precision location could be used to detect cooking, fridge visits, bathroom visits, exercise, time in bed, possibly time sleeping, overall activity (or lack thereof, possibly indicating a health decline if extended over a long time), and more. There has been research on trying to do this with accelerometers and RFID tags, possibly recent research has tried UWB tags.

How about all ICBM's must also be able to land safely without detonating after being launched, ala SpaceX's rockets? Current ICBM's probably have a self destruct capability, but that could spread uranium or plutonium across the land.

The headline says "sold out". That doesn't mean prices will go up, that means the memory will not be available at all for many companies and the products they make will not be available to consumers.

Note that they also banned Chinese inverters at the same time. Industrial inverters are still made in the US but solar inverters are often made in China. So is this an attack on home solar and solar farms?

So do incinerating satellites create tunnels of conductive plasma through the atmosphere? Perhaps they are creating short circuits in the air. Could pieces of junk reaching the lower atmosphere cause lightning strikes by creating conductive paths? When I read the title about "plasma tunnels" that's what I thought the article was going to be about, not wind tunnels.

So this looks broad enough that it should apply to online retailers like Amazon also.

Doesn't this mean such data analysis can be used by anyone against anyone else? This does not just mean one political group can do this analysis, any political group or foreign power can make use of the data if it is not protected using differential privacy. Has the military weighed in on this? Seems like the data could be used to attack police forces, cities, states, demographic groups, groups of almost any kind. It could be used to identify military forces, say those at secret bases. Turning off the privacy protections seems like tearing down a fence; makes it easier to take your horse out for a ride, but also makes it easier for the wolves to get in.

This seems like a prototype for AI malware. Given that an AI agent could run anywhere in a vendors cloud it makes it very similar to a computer worm that can jump from machine to machine to spread itself and hide from administrators while attacking remote targets. Harassing people is probably just the start. There is lots of other bad behavior that could be automated.

So what is happening right now with rare earths used for military purposes? My reading says it will take 5-10 years to build processing facilities without which the raw ore is useless. Has the US stopped building missiles and fighter jets? They seem to still be selling them to other countries, but it is unclear if they can actually deliver anything until many years from now, or even restock their own supplies. Maybe the military has a small stockpile of some of the REE's? It's also not clear how the UK, EU, and Australia are going to stockpile REE's if they don't have the capability to process the ore. Is the West's supply of weapons going to run out soon as they use up what they have and can't build more? This seems pertinent both to attacking Iran and the war in Ukraine.

While I do hoard notes I've realized over the years that the main reason I write notes is as a memory aid. If I write it down I remember it better, and I'm more likely to do it. Notes also act as a filter because I write stuff down, sometimes review the notes later, and decide what I wrote down isn't worth doing, so making a note of an idea essentially gives me a delay to review the idea and decide if it is worth doing. I do also record links, keeping them in wiki pages (along with wiki pages for notes about various projects); I started doing that because browser histories today seem to autodelete old links. Putting them into a wiki makes them searchable. I keep journals as well, which are also searchable. I don't necessarily want to be reminded of my notes and wiki/journal entries, I know they are there, I mainly want to call them up when I decide I need them. That's the main drawback of paper notes, I can't search them. I've tried scanning them, but it's tedious and they don't translate to ASCII text well, and drawings are not searchable. I've considered using one of the e-paper notepads instead of paper notes, but I'd need a notepad handy in every room of the house and that would cost too much, and the procedures to automatically sync them to a central location don't seem very reliable (and I don't want to sync personal notes to some public cloud).

So for me, an AI that suggests stuff would be annoying. An AI that could take some vague search terms and my history and could pull old information out of notes that don't necessarily have the keywords I enter, using the context provided by my history might be useful. So for example, I may remember I happened across a design for the DSP algorithms in guitar pedals, but the URL or note may not even mention DSP, so something that could turn a search for "guitar pedal DSP" into finding a link for an audio processing web page I visited would be useful. The AI would probably have to scan all the web pages I visit to be able to store enough context to be useful for a search like that. Doing this for 20 years or more might run into some scalability/cost issues.

Is the root of the problem buying more power or building more grid?

There may be a more subtle issue here. When the specification is interpreted by an LLM that is different than it being interpreted by a person. From the LLM you get a kind of average of how a lot of people wrote that "kind" of code. From the person you get a specific interpretation of the spec into code that fits the task. Different people can have different interpretations, but that is not the same as the random variations LLM's produce. To get the same kind of fine tuning a person can do while coding (for example realizing the spec needs to change) from an LLM you need a very precise spec to start with, one that includes a lot of assumptions that are not included in current specs, but which are expected from people. I see further complications with getting an LLM to generate code where the spec changes, like say now you want to port the same spec to generate code on new computer architectures. So now specs need architecture dependent specifications? Some backwards compatibility needs to be maintained also, if the LLM regenerates ALL of the code each time, then the testing requirements balloon.

“We have found this really important, never-before-understood difference in autism that is meaningful, has implications for intervention, and can help us understand autism in a more concrete way than we ever have before,”

So we might be able to make all the non-autistic people autistic? What would the world be like if everyone was mildly autistic?