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Another scary thing is with AI it's easy to let complexity get out of hand to the point where a human manually writing code is basically impossible. Even thoug

Another scary thing is with AI it's easy to let complexity get out of hand to the point where a human manually writing code is basically impossible. Even though AI might seem capable of handling the complexity, you'll start noticing all these weird bugs pop up all over your codebase.

gib444 15d ago
I'd say that was even a goal of the AI companies. It's not in their interest to generate human-maintainable code
- bcjdjsndon 15d ago
  Aren't there open models you can get for free? What are their intentions?
  - gib444 15d ago
    Are enterprises using those free models for app development? With any kind of market share figure that isn't a rounding error, compared to eg Codex, Claude et al? You tell me - what are their intentions? I wasn't really thinking of open models tbh
  - written-beyond 15d ago
    Those models can never be capable enough to compare to the level of output generated by frontier labs. Where would you even host these models? Maybe a company like Shopify could manage self managing an few instances but that's it's own headache. Unless Shopify can show significant productivity gains by using ChatGPT or Anthropic's API pricing models there is no way they'll be able to justify using those services at those prices in the long term while maintaining their employee pool. The other option is to just stay with ChatGPT and Anthropic and fire almost all of their employees, but then they're running the risk of having a significantly worse customer experience in case your development cycle gets out of hand. They'd have lost most of their internal knowledge in the layoffs so they'd be stuck. If they don't do anything and just let their employees continue to work like they've always been but with LLMs to enhance productivity. Not to the point of implementing software factories, but as most people are using them in the industry. They lose nothing, gain productivity but their shareholders, investors and managers have been gaslit into believing if they're not 200x-ing their AI spending they're probably going to be left behind by competitors who are doing that. Also some of their larger investors may have investments in other AI companies and they probably strong arm them into contracts with those companies to benefit their portfolio.
- pezo1919 14d ago
  Jeez, I did not even realize that! That’s a very good point (in general)!

gib444 15d ago

I'd say that was even a goal of the AI companies. It's not in their interest to generate human-maintainable code

bcjdjsndon 15d ago
Aren't there open models you can get for free? What are their intentions?
- gib444 15d ago
  Are enterprises using those free models for app development? With any kind of market share figure that isn't a rounding error, compared to eg Codex, Claude et al? You tell me - what are their intentions? I wasn't really thinking of open models tbh
- written-beyond 15d ago
  Those models can never be capable enough to compare to the level of output generated by frontier labs. Where would you even host these models? Maybe a company like Shopify could manage self managing an few instances but that's it's own headache. Unless Shopify can show significant productivity gains by using ChatGPT or Anthropic's API pricing models there is no way they'll be able to justify using those services at those prices in the long term while maintaining their employee pool. The other option is to just stay with ChatGPT and Anthropic and fire almost all of their employees, but then they're running the risk of having a significantly worse customer experience in case your development cycle gets out of hand. They'd have lost most of their internal knowledge in the layoffs so they'd be stuck. If they don't do anything and just let their employees continue to work like they've always been but with LLMs to enhance productivity. Not to the point of implementing software factories, but as most people are using them in the industry. They lose nothing, gain productivity but their shareholders, investors and managers have been gaslit into believing if they're not 200x-ing their AI spending they're probably going to be left behind by competitors who are doing that. Also some of their larger investors may have investments in other AI companies and they probably strong arm them into contracts with those companies to benefit their portfolio.
pezo1919 14d ago
Jeez, I did not even realize that! That’s a very good point (in general)!