By your analogy human brains as also IP thefts, because they ingest what's available in the world, mix and match them, and synthesize slightly different IPs based on them.
But I'm merely telling the truth. The fact that people don't like it doesn't change the fact that software engineers are largely replaceable with AI now.
We are seeing the second order effects now that people using AI are not buying software products anymore, leading to layoff of software engineers.
The fintech company I worked at does handle millions of QPS has has thousands of servers. It is on the same order of magnitude or at least 0.1x scale, not to mention the complexity of business logic involving monetary transactions.
If there’s indeed a 5 min lag in monitoring dashboard in Cloudflare, I honestly think that's a pretty big concern.
For example, a simple curl script on your top 100 customers' homepage that runs every 30 seconds would have given the warning and notifications within a minute. If you stagger deployments at 5 minute intervals, you could have identified the issue and initiated the rollback within 2 minutes and completed it within 3 minutes.
There is nothing wrong with moving fast and deploying fast.
I'm more talking about how slow it was to detect the issue caused by the config change, and perform the rollback of the config change. It took 20 minutes.
The deployment pattern from Cloudflare looks insane to me.
I've worked at one of the top fintech firms, whenever we do a config change or deployment, we are supposed to have rollback plan ready and monitor key dashboards for 15-30 minutes.
The dashboards need to be prepared beforehand on systems and key business metrics that would be affected by the deployment and reviewed by teammates.
I've never seen a downtime longer than 1 minute while I was there, because you get a spike on the dashboard immediately when something goes wrong.
For the entire system to be down for 10+ minutes due to a bad config change or deployment is just beyond me.
Maybe they want to have their own protocol and standard for file editing for training and fine-tuning their own models, instead of relying on Anthropic standard.
Or it could be a sunk cost associated with Cursor already having terabytes of training data with old edit tool.