Artificial Intelligence

[Tero]

I have not done programming since 1980, I only got to Basic. The book store had some learning guides for Python. Not one of them explained to me, with an example, how it works in the first ten pages.

it seems to have endless subroutines you can pull up? such as "statistics"
python
import statistics

numbers = [10, 20, 30, 40, 50]
average = statistics.mean(numbers)

print(f"The average is: {average}")

[Brian Peacock]

If you want to know how it really works then you have to understand how the compiler uses another language to convert the script into assembly code. To understand that that you have to understand assembly, and to truly understand assembly you have to understand the underlying architecture the micro processor. Languages like Python are useful abstractions that mean you don't have to know the fundamentals of 'how it works', and can just focus on 'what it does' and 'what I want it to do' instead.

[Tero]

Sure. But I was just going yo go the one step toward seeing how modern coding works. My last work stuff involved collecting data and putting it some graph from Excel to summarize the lab work. The bosses and even the bosses' bosses did not care about the details. They were onlyb
concerbed about progress.

The worst were the timelines. A sales guy famously said "can you speed up the 6 month stability study to three months?"

[Tero]

Google AI: It is highly likely, bordering on inevitable, that future laptops will incorporate Large Language Models (LLMs) as a standard, deeply integrated part of their architecture. The industry is currently transitioning from cloud-based AI reliance to "on-device" or "local" AI, with major manufacturers (Apple, Intel, AMD, Qualcomm) actively rebuilding laptops to run these models natively.

Fortune
+4

Immediate Availability: As of 2024–2026, AI-capable laptops are already mainstream. Examples include Apple MacBook Air/Pro (M4/M5), Asus Zenbook S14, and Lenovo ThinkPad T14s, which feature NPU-driven "always-on" AI agents.

Memory Intensity: Running capable LLMs locally requires large amounts of RAM (typically 32GB or more).
Power Consumption: Although NPUs are efficient, intensive AI tasks can still significantly affect battery life.

[Tero]

What that implies is that whatever AI you are working with will make a more personal connection to the user. You might even have to identify yourself so that not all users of that laptop get the same results.

Phones will have some kind of copilot as well.