I find it difficult to lay the blame with VSCode when the terminology belongs to git, which (even 7 years ago) was an industry standard technology.
People using tools they don’t understand and plowing ahead through scary warnings will always encounter problems.
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.)
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.
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.
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.
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.
Libre Office
This guy gets it. Thanks for the excellent post.
Of course it’s not for fun. It’s for something more important than anything else - their bottom line.
Exactly this, and rightly so. The school’s administration has a moral and legal obligation to do what it can for the safety of its students, and allowing this to continue unchecked violates both of those obligations.