> "I feel excluded by 'guys', any chance we could settle on something else?"

In agreeing to your preference this person can no longer use the word 'guys' at all, ever? Or they can, but before doing so must first scan the faces of everyone in the group and if they see you then use an alternate?

This is the problem with personal preferences. They are personal to you, not to anyone else.

If your company orders pizza for lunch and your personal preference is for no pepperoni, then expect that the person placing the order asks for a cheese pizza and several pepperoni pizzas. Don't expect that everyone gets cheese pizza.

Apart from the US, there aren't may other countries that allow fixed rate mortgages, and not a 30-year fixed.

[1] - https://chattjb.org/about

For example; I hate to think of cows being tortured or otherwise abused. I do like a good hamburger.

That job taught me the value of good specifications.

That's how you onboard.

For example in years gone by, the ME may have requested data and would have been provided a weekly SQL dump of relevant data in CSV format. No harm if that data is becomes corrupted as it will be replaced in a couple days time.

But now, the ME can prompt the LLM. The LLM may search the company wiki, emails, Sharepoint servers, discover some AWS credentials, and directly access whatever environments those credentials allow, perhaps the production systems. The ME didn't know to tell the LLM to not do this. The ME asked for "n", and the LLM went off and did a bunch of stuff to accomplish "n". Huge harm if production data becomes corrupted, tables modified, etc.

The issue now is that LLMs increase the blast radius. Before it was one person lighting a firecracker. Now it's one person setting fire to the fireworks factory. For example, the LLM exposes the ME's tools and internal company data to the Internet.

Are you proposing that humanity should rely on AI to determine the fields of study that should be perused and those that should be defunded?

Why don't you first come up with an AI that can predict if the stock market will go up or down tomorrow, with 99.999% accuracy. Should be really simple as it only needs to answer what will happen tomorrow.

After that, come up with the AI that will predict how actions or non-actions today may affect outcomes 100 years into the future.

There's documentation, and then there's documentation. What passes for documentation in the modern era is scattershot over thousands of JIRA tickets and Confluence pages. Most outdated.

Removing one's shoes before entering a house isn't a thing in South Africa.

Filth can sometimes be a good thing.

And then there is the level of understanding gained of opening up an editor and trying to write a Quicksort function in Go or C++ or Python or whatever.

I wouldn't consider the latter to be "laying bricks".

But if you tuned to a random channel, most people couldn't tell you if what they are looking at is SD or HD. "It's all digital, right?"

Again, if you then swapped to the HD version, they would immediately notice.

But we had so many stories of installers visiting customers homes on service calls to be confronted by massive TVs displaying 480i or 480p. And the customer as happy as can be with the picture quality.

And there were two version of this; (a) Two physical channels, one channel SD and one channel HD, and (b) a single HD channel and the DVR is can be set to down convert to SD.