//There's a continuum between "vibe coded by someone with no technical knowledge or inclination" and "hand written domain driven design development".
Somewhere in the middle of that continuum sits - "domain driven specifications, described using high level english concepts(that are well defined) from the domain , combined with a selection of a few standard architectures"
I'm curious, how well do z.ai reverse engineers protocols ? Is it good enough that we'll see Chinese device makers creating low cost hardware clones, that connect to western software ?
Let's say the goal is doing something for work, so accuracy is important, and you prefer for it to be a nice reading experience, like a good translation.
As long as cloud model are somewhat better in these things, it's good that users would have the option to use cloud models.
Dont use this for work unless it has been verified by your corporate security and legal teams. Sharing business data with a company with which you dont have a enterprise agreement can land you in serious trouble.
You're thinking about this all wrong. Just step into this cranial MRI scanning booth to livestream the structure and composition of your skull straight to the cloud, then we'll fire up 10000 agents to find the perfect cap for you.
It depends on what you produce if you make something in demand it may sell itself. For example if you operate oil wells or an ice cream stand. On the other hand if you manufacture bullshit advertising and sales may be key. What I do get about these llm SAS start ups is LLMs instrinsicaly mimic what is in the corpus so if your goal is to compete in an established product pace sure LLMs may be great autopilot but deterministic programs would be even better on the other hand if you are doing something genuinely innovative them you can expect an llm product manager to containmente it with what is already out there or alternatively make unhinged predictions. Llms have poor judgement for what is not already in the corpus.
There was an emergent and surprising phenomena in collaboratively writing Linux kernel and low level backbone of modern operating systems, or developing mobile apps, or scaling Internet to broader population.
What is different about LLMs? Is it their social aspect and influence? All three examples above were also social to a different extent.
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