local already feels good enough

Reddit r/LocalLLaMA News

Summary

The user observes that the Qwen 3.6 35B A3B model performs reliably for coding and technical tasks with proper setup, questioning whether further AI advancements are simply enabling laziness.

This is specifically for coding, technical planning, and hardware setup. _____ The only times Qwen 3.6 35B A3B has let me down, it has been something that is resolved with a workflow/discipline improvement. If I go through and take the time to get the proper set up with a sound plan, it hasn't skipped a beat. It doesn't struggle at anything if it has the proper tooling, direction, and context. At this point are we just getting spoiled and wanting the LLM to read our minds? Is everything past this point just enabling laziness?
Original Article

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The article analyzes the viability of running AI inference locally on a MacBook Pro, comparing a local Qwen 35B model against the cloud-based Claude Opus 4.5. It concludes that local models are 2x faster for routine tasks, making them a practical choice for half of daily workloads despite a slight capability gap.