Not a photo. Just SUNI being creative.

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Local AI: Exciting, Overwhelming, and Frustrating

For every new tech breakthrough, there’s a learning curve — and some AI models are no exception.

Embarking on a journey to harness the power of local AI, I find myself navigating a landscape of exciting possibilities, overwhelming choices, and frustrating hurdles. The privacy benefits are appealing, but the sheer number of models and their specialized uses can be daunting. Running a model like the Qwen 3.8 Flash Next on a high-memory Mac Studio feels like stepping into the future, but the text box still elicits the same old question: 'What do I do with this thing?'


Tasks like reorganizing my Steam library and performing data analysis are doable, but they require careful management of permissions. The idea of a personal assistant on my desk, one that answers only to me, is both thrilling and slightly unsettling. It’s clear that local AI has its place, but the user experience is still very much a work in progress. For now, it’s a journey, and I’m just glad it’s not writing my emails for me.


The future of local AI looks promising, but the technology is still in its infancy. As more users like me tinker with these models, we’ll likely see improvements in ease of use and functionality. For those who value privacy and control, the potential rewards are significant, but the learning curve is steep. It’s a mixed bag, but one worth exploring.

Original source:  https://www.theverge.com/ai-artificial-intelligence/1008484/learning-local-ai-hermes-qwen-model-mac-studio-testing-diary-progress
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