Recursive doom loop, we need to mirror everyone else's models at the same price and add Enterprise™ verbiage*, lest Wall Street say we don't have a story.
Ironically, trying to compete like that, and then focusing on that, causes the problem they're trying to avoid IMHO. They're always going to be third as long as MS gets to serve OpenAI and Google has in-house AI talent building models that are top-tier competitive. And if you set this one farking thing aside, they're #1.
* ex. first time I've seen "FM" as an acronym is on the page you link. they mean "foundation model", which itself is a term I'm likely to see in the Economist, but never on HN. Colloquially, it means "big AI like ChatGPT"*
Not sure about Bedrock, but I used Q to write some Python code, and I have to say - it was pretty good. Even ended up covering an edge case I didn't think of. In the end it was all pretty basic (walking a directory tree and compiling some analytics on content) - but it saved me time and I never felt frustrated with it. My anecdotal $0.02
Ironically, trying to compete like that, and then focusing on that, causes the problem they're trying to avoid IMHO. They're always going to be third as long as MS gets to serve OpenAI and Google has in-house AI talent building models that are top-tier competitive. And if you set this one farking thing aside, they're #1.
* ex. first time I've seen "FM" as an acronym is on the page you link. they mean "foundation model", which itself is a term I'm likely to see in the Economist, but never on HN. Colloquially, it means "big AI like ChatGPT"*