Technically the credit should be to Claude then, as it’s clearly written by them at the end there with the one two library/charging admission phrasing.

On top of that maker, Pangram result was AI:

And the OP you are crediting is exactly the sort to use AI to write his viral tweets.

If they did that it’d make it even easier to run it through an AI detector which would show it was AI generated.

Nah dude, I knew for sure it was AI before I ever checked Pangram. There’s examples of me catching AIs in the wild on social media from 4 years ago even — been at this longer than Pangram was around.

No human would have written those last two lines that way.

That cadence is almost as much of a signature for the Claudes as “it’s not X — it’s Y” was for ChatGPTs.

The writing. The words on the images. ‘Copywriting’

I’m assuming you pulled the image from elsewhere, but it’s clearly been written by AI. I knew it even before I bothered checking.

The last two lines are a very particular way of phrasing it. In fact, I can tell it was a Claude that wrote them.

It’s hilarious to me that no one here so far realizes the copy of the post itself was written by AI.

A lot of it was also connected to misinterpreting some friends’ performance art as an official event like JD Vance did the other week.

Journalism in any way touching ‘AI’ is so bad that it’d probably end up better actually being written by AI. The human hallucination rates for the topic domain are going off the charts hunting for confirmation bias clicks.

So realistically, it’s kinda BS pushed by FOMO farmers with hustle culture vibes.

The reality is that the acceleration of AI is reaching a speed where by the time you’d build your whole setup to work with AI there will be a new AI who can set the whole thing up in an afternoon.

There is a learning curve to things like how a model processes information and how to set them up for success. But it’s fairly easy to learn and likely to shift quickly.

The biggest gap that I see between people who have success with models and those who have a bad time is how you treat the model.

If you are a jerk, I hope you don’t like your production DB or home directory too much.

Things that seem crazy to people who aren’t following things, like giving the model breaks to avoid context burnout or encouragement vs yelling in all caps, go a long way.

TL;DR: The methodological best practices are likely to change so fast you won’t need to do much catching up, but the relational dynamics of working with AI will likely remain pertinent into the future.