I'd suggest they face more constraints, to the point of it being impossible for them to create something good here:
1) Executives who don't understand LLMs at all and don't really understand the process of building products under massive uncertainty around product quality.
2) Executives who have grown up building products which didn't need insane amounts of continual tuning.
3) Internal process that isn't set up for the types of products mentioned in 1 and 2
4) Entire groups of stakeholders in the same position as executives, putting pressure on the people building these things.
To make an analogy - this space is closer to the self driving car project at Google. Zero product risk, the technology is sort of all there, but putting it all together is difficult and it's gonna be ready when it's ready. Pushing something out to meet a schedule aint gonna work.
1) Executives who don't understand LLMs at all and don't really understand the process of building products under massive uncertainty around product quality. 2) Executives who have grown up building products which didn't need insane amounts of continual tuning. 3) Internal process that isn't set up for the types of products mentioned in 1 and 2 4) Entire groups of stakeholders in the same position as executives, putting pressure on the people building these things.
To make an analogy - this space is closer to the self driving car project at Google. Zero product risk, the technology is sort of all there, but putting it all together is difficult and it's gonna be ready when it's ready. Pushing something out to meet a schedule aint gonna work.