That's almost a good reply, but this gave it away:
"Thanks for laying out the legacy systems so clearly. I’d like to introduce you to what’s coming next ..."
Granted Ai has come a remarkably long way you can still tell.
Ai is evolving at break neck speeds right now. It's truly an amazing time.
Just to be clear, I'm not against ai and I'm embracing it. However, I'm realistic about it's abilities.
The thinking and reasoning ... is an interesting take. It slows the interaction down a bit though.
Reasoning: the user seems to be thinking of something, the user may be thinking of the future, the user is thinking of the future about ai, the user is thinking about the future and how ai will evolve.
Older models, either got it right away or you had to prompt it a bit.
My peer group is now interacting on a daily level with Ai. Developers are naturally tuned like a race engine to look for bugs and have a high tendency to solve them. Ai is that grind right now, the prompts can only excel to a certain extent and for something like ChatGPT, deleting the chat histories help reset the connections it tries to make even after you tell it the topic is different.
Sonnet 3.5 for us, without reasoning performs better. So last gen technology has the advantage.
This YT channel is focused mostly on new programming languages and database things. He recently built a chat service that interfaces with various Ai.
This particular video shows an interesting take on how well Ai can code. He also uses Ai to fix Ai code. He also covers Perplexity in a real world usage. TLDW; Ai still fails.
[MEDIA=youtube]WVpaBTqm-Zo[/MEDIA]
View: https://youtu.be/WVpaBTqm-Zo?si=eyWVb9C6gH2PyQxr
