Wow. How do they fit so much smart into such a tiny space?

Mine’s more like an LLM - exposed to a vast quantity of technical terms that they don’t really understand, but can mash them together well enough to make coherent-sounding statements in JIRA

Who is your PM or senior assigning the tasks? You need to take this up with them – everyone always needs a couple of quick hits in their back pocket. When you stall out grinding on task after impossible task it kills your motivation and productivity, and that’s your boss’s job to fix.

One thing I never thought about is how the longer a scientist is out of work (due to war, political instability, etc) the more likely it is that they’ll be lost to science (in other words, the less likely they are to return to scientific work when they can). That could potentially be like a chilling effect on steroids.

My folks live on costal Long Island and have had 3 “100-year” flooding events in the last 10 years — and 3 10-year events since December.

Yep I’m sure that was the theory. Was just curious if anyone had been checking on how it’s going in practice.

Fair enough. ML ⊆ AI then. But these days when everyone talking breathlessly about AI taking away jobs they’re almost always taking about LLMs. This article is about ML in particular which is a different discipline with different applications.

Has there been any data on whether the approach is working?

ML =/= AI. There are legit uses for ML that don’t have anything to do with LLMs and the cloud. I worked on an ML project 3 or 4 years ago to listen for fan noise that might indicate that it was about to fail soon. We trained a tiny GAN on good and bad noises. It runs on a tiny CPU, locally. Highly specialized work, and I have to imagine there are and will continue to be lots of similar opportunities to bring efficiencies by getting computers to make good observations and decisions - even if only about “simple” things like “does this thing seem like it’s about to break?”

Florida man here (sigh). Was at the Dr for a routine physical a month ago. My doc is a stand-up guy and very well versed in dealing with the crazies down here. When it came time to discuss vaccinations, he said, “so, have you gotten the flu vaccine yet?”. I noted that I had an appointment at CVS later that day. Then he said, “and the Florida Surgeon General recommends that people under the age of 65 do not get the Covid vaccine…” (I am well under 65) and let it hang in the air. We stared at each other for a few seconds. Then I said, “yup, getting that one at CVS later too.” He sighed, said “ah, perfect” and moved things along. As it turns out, the hospital the doc is affiliated with had sent out several memos about exactly what should/should not be said to both try and encourage people to get vaccinated but NOT incur the wrath of the state. It’s a different world down here…

Since the above seems to just be a link to a JPEG, here’s the link to the actual study.

Meat from predators is very gamey - and an obligate carnivore like a cat would be the worst.

This is a bigger problem the higher up the foodchain you go, so giving your cat Bluefin is worse (not to mention much more expensive) than the common stuff (albacore or light tuna) that comes in a can. And of course it’s even worse for humans, for the same reason - and we live longer so the heavy metals have more time to accumulate.

I think this is it exactly, and in fact I found a Science Daily article that explains the cleverness of it (your assumption about the time scale is correct, and they have a clever arrangement of diodes that let you kind of “pump” the charge out). They specifically mention not violating the 2nd Law too :)

It’s definitely not extracting energy from the vacuum. It’s converting latent heat energy into electrical energy due to clever engineering and the quirky properties of graphene.

Sadly it’s not extracting energy from the quantum flux :) But happily, it is extracting energy from the heat of the world – of which there is plenty (enough for us to treat it as unlimited).

It’s more like a generator that uses ambient heat as the “battery”. With previous systems you could only extract useful work from heat if you had a heat gradient (e.g. one area that’s hotter than another). With this invention the innovation is that graphene’s unique combination of thinness and conductivity basically let you convert the brownian “heat” of the substance itself (not the environment) into electricity.