English(EN) @ ChrisMayLA6 and those $B spent on model training? VIewed as moat to keep out competitors, the budget chinese models you can run locally seem adequate, with op

经济型开源大语言模型被视为昂贵模型的可行竞争者

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-12 08:02

训练大型语言模型的巨额成本被视为竞争对手的进入壁垒。然而，经济型的中文模型和开源替代品（如 Qwest）可以在终端用户硬件上本地运行，被认为是足够的。有人认为，只有这些可访问的、开放的 LLM 才能在长期内生存下来，从而消除了对大型数据中心和集中控制的需求。 AI

影响表明 AI 的未来可能在于可访问的、可在本地运行的模型，而不是依赖大型数据中心的模型，这可能会转移开发和部署的重点。

排序理由该项目讨论了 LLM 的经济可行性和未来，并根据成本和可访问性提出了关于哪种类型将成功的观点。

在 Mastodon — fosstodon.org 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-07-12 08:02

@ ChrisMayLA6 and those $B spent on model training? VIewed as moat to keep out competitors, the budget chinese models you can run locally seem adequate, with op

@ ChrisMayLA6 and those $B spent on model training? VIewed as moat to keep out competitors, the budget chinese models you can run locally seem adequate, with open models like Qwest. After The Tokening, the only LLM AI which may (and IMO should) survive is budget open LLMs already…

链接 mastodon.me.uk/@ChrisMayLA6

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@ ChrisMayLA6 and those $B spent on model training? VIewed as moat to keep out competitors, the budget chinese models you can run locally seem adequate, with op

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