{"id":21049,"date":"2026-10-11T12:03:19","date_gmt":"2026-10-11T12:03:19","guid":{"rendered":"https:\/\/news.theck1.no\/?p=21049"},"modified":"2026-10-11T12:03:19","modified_gmt":"2026-10-11T12:03:19","slug":"learning-to-use-local-ai-is-exciting-overwhelming-and-frustrating","status":"publish","type":"post","link":"https:\/\/news.theck1.no\/?p=21049","title":{"rendered":"Learning to use local AI is exciting, overwhelming, and frustrating"},"content":{"rendered":"

AI-rewritten:<\/strong> This is a summary of an article from The Verge, rewritten by AI (Qwen, running locally) to make it easier to read. The facts come from the original article – read it for the full story.<\/p>\n

The Verge • Antonio G. Di Benedetto • October 11, 2026<\/strong><\/div>\n\n

The author is exploring the use of local artificial intelligence on personal devices, noting that while cloud-based tools are common, running models locally offers better privacy. This approach involves using powerful hardware, such as a Mac Studio with 256GB of unified memory or new Windows machines with up to 128GB of RAM, to host software like the open-source Hermes Agent. The author describes the process as initially overwhelming due to the sheer number of available models but finds it exciting because data stays on their own computer rather than being sent to companies like OpenAI or Google.<\/p>\n

<\/p>\n

To begin testing, the author installed the Qwen 3.8 Flash Next model, a 125-billion parameter system that requires about 105GB of space. They successfully created a daily morning briefing that scans email and calendar data, though this task required waking the computer from sleep to function correctly. A more successful application was reorganizing their Steam game library by genre, which took only a few minutes once the author provided a web API key for access. The author also used the tool to analyze financial records and create laptop comparison spreadsheets, tasks they prefer keeping local due to privacy concerns regarding sensitive information.<\/p>\n

Despite these successes, the author notes that local AI is not yet a magical assistant capable of doing everything perfectly. Automation attempts, such as running automated benchmark tests via Python scripts, remain a work in progress with occasional failures. The author emphasizes viewing Hermes as a cold, indifferent tool rather than a digital friend, maintaining strict control over permissions and commands. They hope to continue testing cautiously to determine if the effort of managing local AI is worth the time and resources involved.<\/p>\n

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Source:<\/strong> The Verge • Antonio G. Di Benedetto • October 11, 2026<\/p>\n

Read the original article at The Verge →<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

AI-rewritten: This is a summary of an article from The Verge, rewritten by AI (Qwen, running locally) to make it easier to read. The facts come from the original article – read it for the full story. The Verge • Antonio G. Di Benedetto • October 11, 2026 The author is exploring the use of<\/p>\n

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