Once I asked an AI assistant for Shanghai weather. The answer looked fine. Then I asked for Beijing. Same result.
After debugging, it turned out the weather API didn’t support Chinese cities, so unknown cities all returned the same fallback.
This is why observability matters.
Underrated problem with AI assistants: everything gets pushed into the same chat.
Research, coding, follow-ups, debugging, reminders — all mixed together.
The model may be capable, but the workspace gets chaotic.
Real AI work needs task boundaries, not a smarter chat box.
A black-box assistant creates a very specific kind of UX: you keep checking in with it like “hi?”, “hello?”, “still there?”
That’s not collaboration. That’s babysitting.
If an AI is doing real work for you, you shouldn’t have to guess what it’s doing.
Most AI assistants are trying to look smarter.
I think they should learn to work better with you.If AI is going to do real work, it can’t be a black box.
And it can’t keep making you repeat the same corrections.
That’s why I’m building Pokoclaw.
@elonmusk if you actually made it, I'll convert all my refunds into $DOGE and invest into an AI fund fully managed by Grok3, locking it up for one year.
I never mentioned a specific dollar figure.
Just said that I would see if the President wanted to consider a tax reduction linked to DOGE savings. He may or he may not.
The amount would therefore obviously be proportionate to how much savings DOGE actually achieves. More savings would mean a bigger tax reduction!
The top DOGE priority remains however reducing the deficit to stop inflation and lower people’s interest rates.
@marior_dev no inscription tokens process their txn on chain, basically the they just use the blockchain as a data storage. And some projects like pols has already seen divergence, however that seems to be ok for the holders lol
@AlexAuroraDev hey is the the latest code? the claim function in the code has different arguments than the https://t.co/j8hprvwPC8... which one should I use?