I accidentally rebooted the network switch for the entire third floor.
Internet disappeared.
Phones dropped.
About 70 employees immediately stood up from their desks like prairie dogs.
I had two choices:
Admit I clicked the wrong switch.
Become proactive.
I sent this message:
“Unannounced infrastructure resilience exercise currently in progress. Please continue normal operations.”
Then I waited five minutes and turned everything back on.
Service restored.
No data loss.
Nobody died.
The CTO replied:
“Love that we’re testing this stuff proactively.”
So I wrote a post-exercise report.
Objective: Validate employee response to unexpected connectivity loss.
Result: Successful.
Finding: Employees become extremely loud after approximately 12 seconds without internet.
Recommendation: Continue resilience testing quarterly.
My mistake now has a budget.
How many times can you edit an image with AI before it becomes unusable?
GPT-Image 2.5 Sunburst was released, and one of its biggest improvements was being able to make precise edits to the same image over and over without changing anything else.
So I decided to stress test it.
I took a picture for the input, prompted to change the t-shirt, and then used the output as the input for the next prompt.
This video doesn't necessarily make the model look great.
But if you do this with other models, it will barely even make it to round 3 before looking like something out of a nightmare.
Here, even at round 5, the generation isn't too bad.
When editing an image with AI, it's rare that you would go over two rounds anyway before restarting entirely with the OG image.
GPT-Image 2.5 is quickly becoming my favorite AI image model, and I absolutely love the speed of Flare and the precise editing of Sunburst.