PhilipDaineko

I get your point.

But, as far as I understand, Sentient was state AI built for the state. LLMs were built from everyone's data, given to everyone, and now may be locked away for the few

Because design patterns are only applicable at a scale. I noticed codex inventing factories, components, etc when the task was simply to draft HTML page. Instead, it build the entire layered architecture for imaginary future complexity - classical right-after-graduation student - it knows how to build the cool stuff, but does not know it is not applicable everywhere

"5. DON'T FUCKING OVERENGINEER! WRITE THE SIMPLEST CODE THAT CAN POSSIBLY WORK! NO NESTED LAYERS OF ABSTRACTION! NO UNNECESSARY CLASSES OR METHODS! NO DESIGN PATTERNS UNLESS THEY ARE ABSOLUTELY NECESSARY! NO MAGIC! NO SHENANIGANS! JUST THE DAMN CODE THAT GETS THE JOB DONE IN THE MOST STRAIGHTFORWARD WAY POSSIBLE! THE FIRST PRIORITY IS TO WRITE CODE THAT IS EASY TO READ AND UNDERSTAND AND READ!!!"

this is the line I keep in Agents.md that helps me prevent Codex from playing smart

Exactly. Furthermore, for this specific reason, AGI is not an objective term, but subjective: it is in my mind, I give you agency; only interacting with each other we invented a concept of agency

I use O&O ShutUp10++ to completely get rid of OneDrive and other annoying Microsoft tools from the recent version of Windows.

100% true. It is only ego that makes people think we are "unique" and different to AI. If one plugs current AI into a body with external stimuli such as wishing to mate, eat, etc, then the external observer will not be able to spot a difference.

Our minds are in fact same statistical models with a gradually declining ability to learn and driven by exogenous irrational goals to eat and mate.

What's the point of setting up a blog on medium rather then setting up a WordPress website in minutes?

Or course in short term you win with Medium and similar platforms, but long term you lose, moreover bearing risks of platform-locking

Great product, we have been using it for already a few month in our company. Lots of insights on the data. I would also love to see different time frames for the data comparison, i.e. compare week to week, or month to month, instead of having only day-to-day comparison.

Anyway, good luck!