Gotta love how this is written in first person from trumps perspective as if he is literate and understand anything at all.

That’s a lot of words for someone who clearly doesn’t actually understand how LLMs work or are trained.

You should read up on modern philosophy. P-zombies and stuff like that. Very interesting.

Yesterday I asked an LLM “how much energy is stored in a grand piano?” It responded with saying there is no energy stored in a grad piano because it doesn’t have a battery.

Any reasoning human would have understood that question to be referring to the tension in the strings.

Another example is asking “does lime cause kidney stones?”. It didn’t assume I mean lime the mineral and went with lime the citrus fruit instead.

Once again a reasoning human would assume the question is about the mineral.

Ask these questions again in a slightly different way and you might get a correct answer, but it won’t be because the LLM was thinking.

No shit

Allowing fdroid from to come from the play store is NOT a solution by any means. Users should have the right to never touch the play store or agree to googles TOS.

I recently started carrying a GPD microPC because of this bullshit.

It’s like a very bulky phone. Pocketable but kinda chonk. Thumb typing kinda thing.

But it runs Fedora + gnome with no problems.

My phone is now just for quick stuff and a way to make a WiFi hotspot.

K bye

I confirm that I will see zero ads.

I am so far from trusting and LLM to do mass refactoring even with heavy review. Refactoring bugs can be super insidious.

IMO I does if you are in a position of power like this.

Guess I could have been more specific but I’m saying that when it comes to rates/prices of things the company itself is the only reliable way to get the info.

This screenshot doesn’t really prove anything but that’s not how chatgpt works. It might have given you the right info and someone else the wrong info.

Even if they were static, deterministic things, which they aren’t in the context of end user services like chatgpt, just giving two slightly different prompts could cause something like this to happen.

The problem is a lack of critical thinking skills. There is only one reliable way to get information about this and it’s from the primary source.

Is you dad my boss?

Why does this look like an ancient android version?

I’m yet to find a non-LISP that doesn’t have at least one or two rough edges like that.

Prompt gobbler

This is for sure just an LLM running sentiment analysis on the reviews and sending this prewritten email to anyone who left a review it analyses as being negative.

Just confidently state the wrong answer. Works for free ever time.