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sosodevyesterday at 10:41 PM2 repliesview on HN

The claim that a small, fast, and decently accurate model makes a good foundation for agentic workloads seems like a reasonable claim.

However, is cost the biggest limiting factor for agent adoption at this point? I would suspect that the much harder part is just creating an agent that yields meaningful results.


Replies

ineedasernametoday at 5:42 AM

No, I really don't think cost is the limiting factor- it's tooling and competent workforce to implement it. Every company of any substantial size, or near enough, is trying to implement and hire for those roles, and the # of people familiar with the specific tooling + lack of maturity in tooling increasing the learning curve, these are the bottlenecks.

all2yesterday at 11:37 PM

This has been my major concern, so much do that I'm going to be launching a tool to handle this specific task: agent conception and testing. There is so little visibility in the tools I've used that debug is just a game of whackamole.

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