I think Human Layer is a great idea. Recently, my baby turned one year old, which made me reflect on many issues. We train AI with a lot of data but overlook the impact that decades of seemingly useless data from human growth experiences have on our brain development. As a result, humans still have an incomparable advantage over LLMs in terms of the so-called "big picture." For example, a recent experience I had was when I asked Claude 3.5-sonnet to write a bash script; it inadvertently modified the PATH variable, costing me a lot of time to fix it. Such attention to detail in work is difficult to avoid through vector db recall or manual context completion. But I believe that a true bash expert would not make such mistakes.
Golang's forward compatibility and static compilation allow developers to quickly download and use the latest Golang release without the pain of upgrading like interpreted languages or VM-dependent languages.
"Boutique Consultancy" is quite recapitulative for most AI companies for now. But this may be the only way to empower their clients. One of these startups will find the path to scale up eventually.