'Local' Solves Where Your Data Goes. It Doesn't Solve What Your Agent Does
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Local models got good this year. Gemma 4's 12B runs agentic workloads in 16GB of RAM, GLM-5.2 tops the open-weight leaderboards under a permissive license, Qwen 3.6 does tool-calling that would've been frontier-only eighteen months ago. The "just run it locally" argument hit the top of Hacker News, and for once it wasn't cope — a model on your own hardware finally handles real work. So teams are moving agents on-prem, and the pitch is almost always the same: local means private, private means…
1Key Takeaways
- Gemma 4's 12B runs agentic workloads in 16GB of RAM, GLM-5.2 tops the open-weight leaderboards under a permissive license, Qwen 3.6 does tool-calling that would've been frontier-only eighteen months ago.
- The "just run it locally" argument hit the top of Hacker News, and for once it wasn't cope — a model on your own hardware finally handles real work.
- So teams are moving agents on-prem, and the pitch is almost always the same: local means private, private means….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that gemma 4's 12B runs agentic workloads in 16GB of RAM, GLM-5.2 tops the open-weight leaderboards under a permissive license, Qwen 3.6 does tool-calling that would've been frontier-only eighteen months ago.
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