llm/8632d754-c7a3-4ec2-977a-2733719992fa/topic-14-35ad9e95-8e2b-40cc-b23e-30f6e2404507-input.json
The following is content for you to summarize. Do not respond to the comments—summarize them. <topic> Local Models vs. Cloud Privacy # Concerns about uploading proprietary source code to cloud providers like Anthropic or OpenAI. Users discuss the trade-offs between using superior cloud models (Claude Code) versus privacy-preserving local models (OpenCode) or self-hosted solutions, and the difficulty of trusting AI companies with sensitive intellectual property. </topic> <comments_about_topic> 1. I will give Claude Code a trial run if I can run it locally without an internet connection. AI companies have procured so much training data through illegal means you have to be insane to trust them in even the smallest amount. 2. You can run OpenCode in a container restricted to local network only and communicating with local/self-hosted models. Claude Code is linked to Anthropic's hosted models so you can't achieve this. 3. I think for a lot of people the turn off is the constant churn and the hype cycle. For a lot of people, they just want to get things done and not have to constantly keep on top of what's new or SOTA. Are we still using MCPs or are we using Skills now? Not long ago you had to know MCP or you'd be left behind and you definitely need to know MCP UI or you'll be left behind. I think. It just becomes really tiring, especially with all the FUD. I'm embracing LLMs but I think I've had to just pick a happy medium and stick with Claude Code with MCPs until somebody figures out a legitimate way to use the Claude subscription with open source tools like OpenCode, then I'll move over to that. Or if a company provides a model that's as good value that can be used with OpenCode. 4. > Or if a company provides a model that's as good value that can be used with OpenCode. OpenAI's Codex? 5. For those of working on large proprietary, in fringe languages as well, what can we do? Upload all the source code to the cloud model? I am really wary of giving it a million lines of code it’s never seen. 6. This are all valid points and a hype-free pragmatic take, I've been wondering about the same things even when I'm still in the skeptics side. I think there are other things that should be added since Mitchell's reality won't apply to everyone: - What about non opensource work that's not on Github? - Costs! I would think "an agent always running" would add up quickly - In open source work, how does it amplify others. Are you seeing AI Slop as PRs? Can you tell the difference? 7. We're literally full. Just a few 1x GPUs available right now. So far, I haven't been happy with any of the smaller coding models, they just don't compare to claude/codex. </comments_about_topic> Write a concise, engaging paragraph (3-5 sentences) summarizing the key points and perspectives in these comments about the topic. Focus on the most interesting viewpoints. Do not use bullet points—write flowing prose.
Local Models vs. Cloud Privacy # Concerns about uploading proprietary source code to cloud providers like Anthropic or OpenAI. Users discuss the trade-offs between using superior cloud models (Claude Code) versus privacy-preserving local models (OpenCode) or self-hosted solutions, and the difficulty of trusting AI companies with sensitive intellectual property.
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