Am I the only one who cares less about smarter and more about can I keep parts of this local?

Reddit r/LocalLLaMA / 4/10/2026

💬 OpinionSignals & Early TrendsIdeas & Deep AnalysisTools & Practical Usage

Key Points

  • The author argues that, beyond benchmark scores, they prioritize practical control over AI agents, such as storage location, required permissions, and post-execution behavior.
  • They express skepticism about “agent” demos once real files, notes, and business context are involved, prompting a cautious stance.
  • While they remain open to using cloud models for some tasks, they prefer local-first, permissioned setups that are easier to audit and reason about after the fact.
  • The post asks readers what parts of their workflows they insist on keeping local versus what they still consider acceptable to send to external APIs.

Maybe this is just where my brain has gone lately, but I’m finding myself less impressed by raw model benchmarks and more interested in control.

Not even in a hardcore “everything must be fully offline” way. More like: where is this stuff stored, what permissions does it need, what can it access, what happens after it runs, and how much of the workflow can stay on my machine vs getting shipped out somewhere.

A lot of “agent” demos look cool right up until I imagine giving them real files, real notes, real business context.

That’s the point where I get cautious fast.

I’m still fine using cloud models for plenty of things. I’m just way more drawn to setups that feel local-first, permissioned, and easy to sanity-check after the fact. That’s partly why accio work caught my attention in the first place.

What do you all actually insist on keeping local now, and what are you still comfortable sending to APIs?

submitted by /u/HourMolasses5401
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