I've thought about that and I agree. One thing I'm wondering though is, are we really ready to go all-in on making a codebase that is effectively unmaintainable by humans?
The linked news story (https://www.anthropic.com/news/claude-discovers-novel-enzyme...) spends quite a bit of time talking about the team of humans involved, their laboratory, their process, and how Claude augments it. The "How we work" section openly describes a process where Claude searches and writes a report, humans review and do experiments, then Claude helps interpret experimental data.
You are using DeepSeek's services directly? Doesn't that end up sending at least snippets/chunks of code to a server where it is subject to Chinese government data access laws? Even if I was okay with that, my organization would never be. And even if they were, our partners/vendors/customers would not be. I think that's the sticking point for a lot of people.
Yes all of it goes straight to China! All of it is also open source or source available, or will be in the future. The stuff that isn't is trivial enough.
For any work with protected intellectual property, I use other providers, for the contractual guarantees, but I think it would be silly to think that OpenAI or Anthropic are not training on literally all data they get. How could you ever tell if they did? They can just claim the data was mislabelled, or ignore the accusations. If you have serious IP, use only local models.
Have noticed similar things using it for code review. "Issue #3: This variable is defined but never used. It is actually used later in the method though. So this is not a real issue to be concerned about", that sort of thing.
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