I couldn't find any mentions of whether they train their models on your source code. May be someone was able to?
Readit Newssolomatov commented on Gemini CLI blog.google/technology/de... · Posted by u/sync
solomatov commented on Go is a good fit for agents docs.hatchet.run/blog/go-... · Posted by u/abelanger
Is anyone aware of a good llm orchestration libraries for go like langchain for Python and Typescript?
solomatov commented on Apple announces Foundation Models and Containerization frameworks, etc apple.com/newsroom/2025/0... · Posted by u/thm
> practically everyone is better off with a laptop
The majority of the world are using their phones as a computing device.
And as someone with a MacBook and iPad the later is significantly more ergonomic.
I prefer MacBook to iPad most of the time. The only use case for iPad for me where it shines is when I need to use a pencil.
Does anyone know whether they have optimized memory management, i.e. virt machine not consuming more RAM than required?
That excuse in EU holds only against an EU court or ICJ or ICC. EU doesn't recognise legal holds of foreign jurisdictions.
Do you have any references to share?
This appears to have immediate GDPR implications.
Not a lawyer, but my understanding it's not since legal obligations is a reason for processing personal data.
solomatov commented on Show HN: VexFS – A Kernel-Native Semantic Filesystem for AI Agents · Posted by u/lspecian
Why should it be at the kernel level? Which advantages does it give?
IMO, it's not about ethics, it's about legal risks. What if you want to fine tune a model on output related to your usage? Then my understanding is that all these derivatives need to be under the same license. What if G will change their prohibited use policy (the first line there is that they could update it from time to time)? There's really crazy stuff in terms of use of some services, what if G adds something in the same tune there which basically makes your application impossible.
P.S. I am not a lawyer.
It's very nice that it has the Apache 2.0 license, i.e. well understood license, instead of some "open weight" license with a lot of conditions.
Is there a premium option to control which of your data will be used for training? Or is it implemented the same way as Gemini Pro?