XScale was forced on Intel as a penalty for anticompetitive activities against Digital. It’s no surprise then that they weren’t interested in doing anything with it.

> Most businesses don’t even have a clear use case for AI they just use it because the competition is and there is a FOMO effect

I consult in this space and 80-90% of what I see is chat bots and RAG.

AWS just reduced prices on One Zone Express today.

Not to mention that I can: - Create a bucket and store 1MB in it without any overhead - Create 50 buckets with strong perimeters around them such that someone deleting the entire account doesn’t bring down the other 49 - Create a bucket and fill it with terabytes of data within seconds and don’t need to wait for hardware to be racked and stacked - Create a bucket, fill it with 2TB of data, and delete it tomorrow

Cloud is more than bare metal, but plenty of folks discount the cost benefits of elasticity.

I wonder if the relative lack of training data makes this harder for AI. Most of these legacy apps are in private repositories, so there’s nothing for GitHub to scrape to identify the before/after.

And if Microsoft is creating synthetic data, that won’t account for the truly awful ways in which enterprise software evolves (or devolves).