It's a contrived example.

> Don't ask LLMs for big changes

> Review everything and point them in the right direction

Sorry upper management doesn't care. That's an engineering problem that you need to solve.

They were proposing a solution.. To use flash models and use them in a way that best amplifies your work.

He was making a joke.

Indeed I was. But that's lost on people here.

Maybe because it wasn't funny? ;)

You win some, you lose many. I savor the times I win.

And even if it _was_ related to AI, they would not admit it. First course of action is to blame user/programmer error and then QA process error. You shall not blame the golden calf. I am half serious and half not. But I do recommend reading the book "The Field Guide to Understanding 'Human Error'" in conjunction with my hyperbole.

Remember: when AI succeeds, it's because AI is great. When AI fails, you're prompting it wrong.

Slopify

Schools have always lagged and can barely keep up. Books once printed on any tech topic is almost always outdated by the time it reaches students. Anecdotally, I went through high school being told over and over that I wouldn't always have a calculator in my pocket. I think the messaging they conveyed was done poorly, and should have said "you need to understand the fundamentals and why the calculator gave you the answer".

> Moore's Law approaching its end.

No it isn't. We are going more parallel and the transistor counts will continue to rise.

Zen 5 has 8.3 billion transistors in a chiplet, Zen 1 had 4.8 billion per chiplet. If we add on some more to compensate for the separate I/O die then we're looking at basically one doubling over several generations and 7 years.

There's still significant gains to be had, but the exponential growth is really petering out.

No, it ended long ago.

Moore's law or Dennard scaling?

Perfect, now we'll start seeing people automate auto publishing because they don't want to explicitly push a button to publish it.

Well if you also have your 2024 input docs as well, you may want to check that too in separate sessions. Post your findings. I'm interested.

The sweet spot for being just fast enough to not irritate you is 10tok/s. Still slow but faster than you can sustain at typing and thinking. Just interesting to observe.

> quickly text a colleague.

This is still common and useful to gut check and make sure you aren't missing something. Source: wife is a doctor.

Does she think this really does the complexity of each case justice though? I doubt you can compress an anamnesis into a two-liner without losing essential data.

> Does she think this really does the complexity of each case justice though?

Do you believe that -prior to the 2020-ish mass evacuation of doctors from the profession- the typical specialist would misrepresent the facts of a case when asking for a cross-check?

Related: Have you ever worked as "the guys who actually work on the thing"-level tech support for a nontrivial Enterprise Software Product (or System)? If you have, did you never send a quick message to a knowledgeable coworker to double-check something that you were pretty sure was correct, but weren't 100% certain about?

An enterprise product is not comparable with the human body at all. A single cell contains hundreds of times more information/entropy in its state than an operating system.

> An enterprise product is not comparable with the human body at all.

Incorrect! Enterprise products are often sprawling projects that

* are poorly designed

* are inadequately (and often incorrectly) documented

* have confusing and/or inadequate diagnostic facilities

* are far, far too large for any one person to completely understand

* have one or components that no one adequately understands

* are pretty much constantly in a state of partial failure

* usually don't require an understanding of -say- the QM principles that govern the behavior of the medium that embodies system in order to perform system diagnostics and repair

Given that you dodged them, I'll assume that your answer to my first question to you is "Yes", and to my second is "No".

Well, I don't doubt that enterprise deployments can be complex, but this is a false analogy.

Because he wants to move it and then has to provide rationale behind why Ghostty is moving away from Github.