MangoCats

You've just got to get them where they're easily purchased by people that want them... It's not about the desirability of your toenail clippings, it's more about marketing / market development.

Exactly...

Even more true for (other) human written code for me... That "WTF would you do that?" which you're afraid will offend feelings if you even start to discuss it. At least when LLMs get their feelings hurt you can reboot them.

Read the e-mail, then consider that Epstein moved throughout that "level" of society, from Stephen Hawking, Woody Allen, Bill Clinton, Bill Gates through Marvin Minsky, Prince Andrew, Ariane de Rothschild, Brock Pierce...

An introduction is hardly deep involvement

if you have no idea what you’re doing, you’re surely going to think all the churned out stuff is good.

That depends on how much of an idiot you are. Intelligent people know when and how they are ignorant and they use that to inform their decisions.

even has those lyrics recorded in a regular database anywhere.

Is that required?

Do you have those lyrics recorded in a regular database in your head?

Of course, LLMs are more "human" if they occasionally mis-remember the lyrics...

It doesn’t learn and it can’t truly remember things. Every time you start a session it is brand new.

Eternal sunshine of the spotless mind... it has its advantages.

I have mine develop and maintain a set of documentation to introduce fresh agents to the project efficiently and correctly.

or to contextualize a scenario where that might be wrong.

Actually, the many dimensions of the vector field are exactly where and how they do this.

Google Gemini prompt: "List common situatuions where 2 would not be expected to folow 1"

Here are common situations where the number 2 would not be expected to follow the number 1:

🔢 Alternative Number Systems

• Binary code: Counts 0, 1, 10, 11 (2 does not exist).
• Odd numbers: Sequential listing skips even numbers (1, 3, 5, 7).
• Prime numbers: Starting a list of odd primes skips 2 (3, 5, 7).
• Fibonacci sequence: The sequence begins 0, 1, 1, 2 (1 follows 1).

🏷️ Identifiers and Classifications

• Software versioning: A patch update moves from version 1.1 to 1.1.1 or 1.2.
• Sports jersey numbers: Roster listings sort by position or last name, not sequence.
• Product models: iPhone models skipped from 8 to X (10), and later from 11 to 12.
• Street addresses: Odd and even numbers sit on opposite sides of the road.

🕒 Time and Measurements

• Military time: The hour 01:00 moves to 02:00, but minutes go from 01 to 02 up to 59.
• Calendar dates: January 1st is followed by January 2nd, but February 1st follows January 31st.

🃏 Games and Sports

• Playing cards: An Ace (1) can be followed by a King in a high-low wrap sequence.
• Leaderboards: Tie scores result in two players holding 1st place, skipping 2nd place entirely.
• Dice rolls: Independent probability means a roll of 1 has no bearing on the next number.

🗣️ Linguistics and Formats

• Alphabetical order: When sorting numbers as text, 1 is followed by 10, 100, and 11.
• Roman numerals: The value I is followed by II, but formatting rules change at IV (4).

To help me narrow down what you are looking for, could you tell me if you need this for a mathematical logic puzzle, a programming algorithm, or a creative writing project?

Those context questions it asked at the end are a prompt to you to feed it dimensional guidance into its vector fields for more specifically applicable responses to your vague and open ended example.

I'm Buzz Lightyear, I'm always SURE!

I've had them do this for various things, nowhere near the 20% of the time they've called "the hallucination rate" but definitely once in a while if it doesn't know it will guess.

Which, to be fair, is what I've been doing for 40+ years in computer programming. When you have the ability to check if you've guessed right or wrong in a couple of seconds or even minutes, but researching it to "be sure" (and sometimes still get it wrong) before trying might take hours it's only natural / efficient to guess a few times before giving up and RTFM.

I've written the fucking code myself for 30+ years. With AI, doing it right, fully understanding what it's doing, it's still 5x faster than doing it myself.

I see a lot of "human type mistakes" in my LLM agent sessions. If you manage these human like mistakes with the same procedures that keep them under control in real humans, the LLMs become much more useful.