vajrabum

The problem with this idea which is common in some circles is that most of the businesses involved are commodity or lowish margin. They likely got built either with government support or before the current margin's were a thing. Becdause you can't make a high enough ROI on building a new competitor your seeds will likely die in barren soil never having germinated. In today's markets the likely result will be increased business going to China, India, Vietnam and the like. If you're talking about banking then the worst possible scenario at a national level is that you're borrowing money denominated in a foreign currency. The adventure after 1929 was a result of deliberate policy to liquidate and let it burn.

Maybe so when you factory reset the device that it sets the admin to something you can maybe read off the label? At least that way the random attacker needs physical access to your space.

I go to Texas to visit family and a visit or two to H-E-B is usually a part of that. They operate great stores, they treat their employees well (several family members have worked there) and they have great products. I love my local grocery store where I shop but H-E-B is pretty much next level.

Is the new Outlook client a JS/Electron app?

I don't understand what is meant by "hardly possible with crypto." I've been hearing that for a long time but I've also heard so many stories about theft of crypto assets and seizures by government. In the US that seems to have slowed to near nothing with the current administration but it doesn't seem to be a capability issue. Or maybe I misunderstand you or the situation?

Make the police officer like the Doctor pay for their own insurance.

I'd love to hear of any currently available commerical C compiler which has that level of issues. I would bet you'll be hard pressed to find one. C compilation is a quite thoroughly solved problem. In any case please provide an example.

I wish I believed that they have to go to the FISA court for much of anything any more. Instead they go to Palantir and the like which simply buy the data and aggregate it. Very similar to the process of money laundering. And for the data that can't be bought there's the five eyes work around.

p is not p-hacking. p-hacking is when instead of making a hypothesis and then looking for a correlation instead you look at the data and see if there are any correlations to be found. The problem with the second is if there are lots of possibilities it's much more likely that you will find a spurious correlation. That happens because the sample distribution is not the population distribution. And in fact in complicated data sets it's more likely that if you look at everything that you'll find spurious correlations than not. In social sciences these days people often register their hypothesis before running the study to prevent p-hacking and reduce the possibility of spurious correlation.

Uh, I think they didn't use WW2 surplus anything when they build Oak Ridge and Hanford before the end of WW2. I also think given that those two plants were key bits of the Manhattan Project that they didn't cheap out on anything. And the color dude was in fact hired by DuPont who built those two plants and adopted his theories because they increased measured factory productivity and safety. Lastly the OG dude in the article was not an engineer. In fact he was an art school dropout who was very interested in color. So no on the no.

Or is this PM and executive management aiming for the no and low code users? That would fit the zeitgeist especially in the tech C level and their sales pitch to non-tech C levels.

I suspect they'll just replace the old recommendations with new ones.

Supposedly this is a roman a clef about Jesse Livermore's career. There's a lot of stuff in this book that makes sense of markets in ways that pretty much no other investing book I've ever read does. Some what I remember are bucket shops, tape sense, marketing campaigns for new stocks, risk of ruin (Livermore went bust over and over), and what amounts to compulsive gambling.

None of this is about an end user in the sense of the user of an LLM. This is aimed at the prospective user of a training framework which implements backpropagation at a high level of abstraction. As such it draws attention to training problems which arise inside the black box in order to motivate learning what is inside that box. There aren't any ML engineers who shouldn't know all about single layer perceptrons I think, and that makes for a nice analogy to real life issues in using SGD and backpropagation for ML training.