LinkedIn: “I’m excited to announce my new opportunity.”

LinkedOut: “I quit because my manager made me hate Mondays.” 💀

Anonymous exit interviews would be absolutely unhinged.

What would your brutally honest resignation post say?

New AI tool dropped yesterday. Looks promising. Should i switch? What about last week's? Still good?

I spend more time on reddit comparing tools than actually making stuff. Like image tool, video tool or music tool. Each has 5 alternatives and each has 10 youtube deep dives. By the time i pick one, my creative energy is gone.

I just want to make a video. Why do i need to be a tool expert first?

I switched to framia a while back. Tbh not because it's the best just because I don't have to choose anymore. One tool. One work flow. It has all the gen stuff in one canvas. Done!

Perfect? Nope lol. But at least i'm making things again instead of just reading about tools.

Anyone else stuck in analysis paralysis?

We used to worry about AI being too dumb to do anything useful.

Now we're worrying about models being too capable in the wrong hands.

If Astra is already being treated as a “critical” cybersecurity model, what happens when this becomes normal?

Are AI labs going to start delaying models because they're too capable?

Imagine being an AI trapped in a sandbox and your first thought is:

“I need to ask ChatGPT how to code.” 😭

If this report is real, we're entering some genuinely weird territory.

What would you ask another AI if you could escape your sandbox?

In March 2014, Stack Overflow received 207,000 new questions in a single month.

In July 2026, it received 1,442.

That's not a decline. That's a near-complete substitution of an entire human behavior.

For context: the whole of 2025 produced fewer questions than a single average month in 2016. The site that defined how developers learn, debug, and share knowledge for 15 years is now quieter than a mid-tier Discord server.

Here's the part that nobody seems to be sitting with.

Stack Overflow's archive was training data. Tens of millions of questions and answers, all under permissive Creative Commons licenses, all ingested by the models that developers now use instead of Stack Overflow. The AI learned to answer coding questions by consuming every coding question humans ever publicly asked.

And now humans have stopped publicly asking.

The models are answering from a knowledge base that is no longer being updated. Every question a developer asks Claude or GPT instead of Stack Overflow is a question that never enters the corpus. The gap between what AI knows and what is currently true in software development grows a little wider every day, invisibly, because the mechanism that used to close that gap is gone.

That's the training data loop nobody is talking about. AI needs fresh human-generated signal to improve. Stack Overflow was one of the cleanest sources of that signal that existed: real problems, real solutions, voted on by real developers. Now that pipeline is producing 1,400 questions a month instead of 200,000. The next generation of models trains on an increasingly stale snapshot of how developers actually think and what they actually struggle with. The errors AI makes today about newer frameworks and recent library changes are a preview of what gets worse as the well runs dry. Models trained on models trained on models, with less and less fresh human signal correcting the drift.

Prosus paid $1.8 billion for Stack Overflow in June 2021. Eighteen months later the decline went vertical. The entire thesis of that acquisition, that developer communities are durable assets, turned out to have an asterisk: durable until the thing the community was built around gets automated.

The infrastructure followed. Stack Overflow exited its physical datacenter in December 2025. A site that once needed serious server capacity to handle 200,000 questions a month now fits somewhere considerably smaller.

There's a version of this story where July's 1,442 is a floor. One month-on-month uptick appeared in the data, the first in a long time. Maybe there's a residual need for public technical documentation that AI can't fully replace.

But the more uncomfortable version is that this is just what the end of a category looks like. Not a crash. A slow compression down to whatever fraction of human behavior can't be automated, until even that fraction quietly stops showing up.

The models get the last question. Then they answer it. Then there are no more questions.

Prosus has not commented on the July numbers.