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.
Eranziel
joined 1 year ago
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.
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.
Came here to effectively say this. If we were people in 1820's Germany, 99% of us wouldn't have nearly enough spare time to even think about cataloging those beetles.
It was not a nuclear explosion, that would be insane. Pure hydrogen is highly explosive, which is why it's suitable for a combustion vehicle like the Mirai.
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.
Well, I have good news! There's a huge number of other systems out there, most of them are quite good, and there's plenty of very interesting mechanical innovation going on. I encourage you to explore, D&D isn't the only game in town. ;-)
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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.