Itâ(TM)s not the share holderâ(TM)s being sued (the owners) itâ(TM)s the officers. The law is clear in regards to what is required by them, and that if they fail to do that, and are found to have failed to do they, they can be held responsible.

They accept this responsibility and risk for the paychecks that they get.

If they follow the rules, and lose money they are fine.

I donâ(TM)t know all the details on the charges. But limited legal liability does not apply here. I do know that. If they are guilty or not in the eyes of existing laws, thatâ(TM)s for the court to determine.

How do I know, Iâ(TM)ve worked in the banking sector on and off for 20 years, and regularly recieved training about the things that if I fail to do, or in some cases do, that I might be legally liable with fines and up to jail.

As to the Boeing example, if any of those developers were Professional Engineers, they absolutely can be legally liable. Limited liability is a good thing, but does not apply in all cases is not a protect me from negligence, when my role at the company is specifically to not be lawfully negligent.

SVB was a C-Corp not an LLC (and Iâ(TM)m not aware of any U.S. bank that is or can be an llc).

The people being sued had a fiduciary duty to not do what happened, and were, or should have been, quite aware that they can be held Legally Liable if I court finds that they did not uphold the duty.

I think you need to do some more research.

Crap in, crap out. If you are using all of the Internet, you will get crap.

If you constrain the input of the rag model, and the questions asked, it will do a generally, to amazingly, great job.

Upload the original wizard of oz from Gutenberg to a rag system.

Then ask about Dorthyâ(TM)s ruby shoes.

Vs ask that question to a general llm that is not constrained by the actual story

Look up retrieval augmented generation.

Basically you add specific context to your system and it saves it off. That is then used to constrain what is generated.

Obviously if you provide crap context, youâ(TM)ll still get crap out put.

Notebooklm from Google is a good example of this that you can use, without needing to roll your own solution

Or you could always just pay for the service.

From all my training, I’m pretty sure that’s already covered by law. It’s called material information.

If you have that you can’t trade legally.

Great points and clarification. I was talking about a tv stand. The big long flat piece of furniture that goes against a wall either below a hanging tv, or a tv is placed on it.

Dude, this is a setup for kids talking to their grandparents.

Depending on age micing them up is likely a nightmare (both the kids and if anything like my parents the grandparents too)

Soundboard table also sounds like a problem but probably easier to solve. Like putting the omni mic on the tv stand

> Seems Microsoft's CEO should be there to explain why their OS is completely dependent on a 3rd party offering

Because DOJ told them to foster independent software development for windows to allow customer choice. Primarily by avoiding bundling of useful system level things like this.

And those customers chose to use windows servers, and crowdstrike falcon software.

This is what I came to post. In addition to it being the last question, the actual distribution of scores (particularly 4â(TM)s and 5â(TM)s) is pretty good compared to many of the other AP exams. So maybe this exam is working as intended.

HP builds multi-function machines as well, the scanners SHOULD position them for doing well transitioning from a printed world to an exclusively digital one, but the software they provide for scanning is wholly inadequate. They don't even include OCR with their scanning software.

Honestly I wouldnâ(TM)t be surprised that the reason for the e-mail is no one thought about it, realized it was an issue (or thought someone else was managing it) and are now scrambling to manage it, and donâ(TM)t have time to add an automated opt out process yet.

Hiring in the tech industry was also at 22,000 per month in 2023 (so net positive for the year). Difference is in 2022 it was 41,000 per month