Exactly. Ryathal said it very well: https://sh.itjust.works/comment/15029423

Blockchain / NFTs do not solve proof of ownership. Just ask all the people who had their NFTs or crypto stolen or lost in scams.

In your example, technically title fraud is more difficult because it needs to be done in two places. In reality it becomes far, far easier because you’ve now opened up a gigantic attack surface that you have no control over, and made both systems of verification worth less. If someone manages to compromise either one, there goes your proof of validity. Which one of them is real and which one is fraudulent?

I think (as a white dude, so take your grains of salt as you please) that a dog would make you less threatening. Makes it clearer what you’re up to, and people bringing their dogs along to mug or rape someone is exceedingly rare.

This is the way, and good for you.

Purposefully making women afraid they’re about to get assaulted is abhorrent.

Even if you could care less about the tastiness of the food entering your face hole, everyone should know enough cooking that they can take care of themselves. I don’t care if you have or want a romantic partner, knowing how to feed yourself should be next on the list after being able to bathe and dress yourself as a fundamental life skill.

I agree that LIDAR or radar are better solutions than image recognition. I mean, that’s literally what those technologies are for.

But even then, that’s not enough. LIDAR/radar can’t help it identify its lane in inclement weather, drive well on gravel, and so on. These are the kinds of problems where automakers severely downplay the difficulty of the problem and just how much a human driver does.

You are making it far simpler than it actually is. Recognizing what a thing is is the essential first problem. Is that a child, a ball, a goose, a pothole, or a shadow that the cameras see? It would be absurd and an absolute show stopper if the car stopped for dark shadows.

We take for granted the vast amount that the human brain does in this problem space. The system has to identify and categorize what it’s seeing, otherwise it’s useless.

That leads to my actual opinion on the technology, which is that it’s going to be nearly impossible to have fully autonomous cars on roads as we know them. It’s fine if everything is normal, which is most of the time. But software can’t recognize and correctly react to the thousands of novel situations that can happen.

They should be automating trains instead. (Oh wait, we pretty much did that already.)

That may be part of it, but Saudi Arabia also has a long track record of being incredibly abusive and generally just not giving a shit about worker’s rights.

Yeah, 100%. This is the town’s fault IMO - not maintaining the markings in the first place (it’s not the contractor’s fault that the old marking is non-existent), and then probably refusing to pay the contractor “extra” to repaint the whole thing.

I grew up in a small town in Canada. We never had any kind of lock down drills.

Even talking about it this way is misleading. An LLM doesn’t “guess” or “catch” anything, because it is not capable of comprehending the meaning of words. It’s a statistical sentence generator; no more, no less.

Nobody going to mention a Cask of Amontillado? Maybe not the most mind-bending example, but the tale of leading a supposed friend to their own horrific murder was not a thing I expected to be reading in school.

I had blocked that one from my memory; I remember now. Thanks. ಠ_ಠ

He can give himself whatever titles he likes, that doesn’t mean he makes any positive technical contribution.

Did you tell him you guess you have to stop doing non-web development then? Clearly you’re not qualified if you can’t have the corresponding title.

“Strategy” implies he actually thinks about it. I think it’s just a reflex; fault belongs elsewhere, always. The man is incapable of critical thought, especially inward.

Machine learning has many valid applications, and there are some fields genuinely utilizing ML tools to make leaps and bounds in advancements.

LLMs, aka bullshit generators, which is where a huge majority of corporate AI investment has gone in this latest craze, is one of the poorest. Not to mention the steaming pile of ethical issues with training data.

Very nice writeup. My only critique is the need to “lay off workers to stop inflation.” I have no doubt that some (many?) managers etc… believed that to be the case, but there’s rampant evidence that the spike of inflation we’ve seen over this period was largely due to corporate greed hiking prices, not due to increased costs from hiring too many workers.

You can very safely remove the “probably” from your first sentence.

I mean, there is a hard limit on how much info your brain can take in. It’s time. Every hour spent learning one thing is an hour not spent learning everything else.