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.
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.
“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.
Agreed. The solution to this is to stop using LLMs to present info authoritatively, especially when facing directly at the general public. The average person has no idea how an LLM works, and therefore no idea why they shouldn’t trust it.
My guess is that your name is so poorly represented in the training data that it just picked the most common kind of job history that is represented.
Yeah, exactly. The issue is precisely that it’s NOT just showing search results. MS’s software is generating libelous material and presenting it as fact.
Air Canada was forced to give a customer the compensation its chat bot made up. Germany/Europe in general is a bit stronger on public protections than Canada, so I’d expect MS would be held liable if this journalist decides to press a suit.
Bullshit generator generating bullshit, news at 11.
Libre Office
Others have pointed out the degradation issue, but you’re also assuming that all plastics are thermoplastics. They are not. There’s huge variation in chemical composition and material properties between different plastics, and most of them can’t be melted and reformed.
Which athlete / event was this?
*Thinnest and yet roughest. Not thick enough to be a barrier, and it can rub you raw to provide an entry point at the same time!
“Sealed” is also a vague suggestion with HVAC. Every ducting join, every piece of equipment, all of it leaks. I shudder to think how much heating/cooling is wasted that way.
This. Satire would be writing the article in the voice of the most vapid executive saying they need to abandon fundamentals and turn exclusively to AI.
However, that would be indistinguishable from our current reality, which would make it poor satire.
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.