English(EN) Testing VOCR with a local model for computer use! Qwen3.8-Flash-Next is the first local model small enough to run on my M3 Max with 64 GB that could tackle my U

本地Qwen3.8-Flash-Next模型在M3 Max上实现语音操作电脑识别

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-17 16:21

一位用户正在他们的配备64GB内存的Apple M3 Max上测试一个名为Qwen3.8-Flash-Next的本地模型，用于语音操作电脑识别（VOCR）。据报道，该模型是首个足够小、能够在其硬件上本地运行并成功处理UI挑战的模型。尽管过程缓慢，耗时约39分钟，但用户对其在AI驱动的可访问性方面的潜力表示乐观。 AI

影响展示了在本地运行先进AI模型以完成特定任务的可行性，可能提高可访问性。

排序理由用户在个人硬件上针对特定应用测试特定模型。

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本地Qwen3.8-Flash-Next模型在M3 Max上实现语音操作电脑识别

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Signal score: 13 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 用户在个人硬件上针对特定应用测试特定模型。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release, product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

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报道来源 [1]

Mastodon — mastodon.social TIER_1 English(EN) · chikim · 2026-10-17 16:21

使用本地模型测试VOCR用于电脑！Qwen3.8-Flash-Next是首个足够小能在我的64GB M3 Max上运行并能处理我的U的本地模型

Testing VOCR with a local model for computer use! Qwen3.8-Flash-Next is the first local model small enough to run on my M3 Max with 64 GB that could tackle my UI challenge. More stats on the video description, but it's pretty slow. I edited out all the waiting for the model to re…

链接 youtube.com/watch dragonscave.space/@ZBennoui universeodon.com/@FreakyFwoof

本文如何被排名

报道来源 [1]

使用本地模型测试VOCR用于电脑！Qwen3.8-Flash-Next是首个足够小能在我的64GB M3 Max上运行并能处理我的U的本地模型

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