Open weights commoditise the model layer, moving durable value to distribution, data, and the infrastructure underneath.
5 source(s) assert this claim, 2 deny it.
Who asserts it
- Regulation and Messaging — Dario Amodei's X Reply to Gavin Baker
dario-amodei-regulation-messaging-x-thread-2026-08-15 - Jensen Huang: 'AI Doomers Have It Wrong' — Axios Interview Full Transcript
jensen-huang-axios-ai-doomers-2026-07-23 - Open Weights and American AI Leadership
open-letter-open-weights-american-ai-leadership-2026-07-24 - Yang Zhilin: K2.5 and the Path to AGI — Zhang Xiaojun Interview Full Transcript
yang-zhilin-k2-interview-2025-08-30 - Zhang Peng: Zhipu AI IPO and the Road to AGI — Zhang Xiaojun Interview Full Transcript
zhang-peng-zhipu-ipo-interview-2026-01-07
Startups, established businesses, universities, and public institutions can build on advanced models without training one from scratch or paying frontier-model prices for every task. Open weights let every organization match the right model to the right job at the right cost, reserving frontier-scale capability for genuine frontier problems and running efficient, specialized models everywhere else. That discipline is what will make AI economically sustainable as its use scales into the billions of everyday tasks.
they're going to go public. These two companies will be the most uh successful IPOs in in human history. How is it possible that two companies that are only a few years old are worth a trillion dollars? And so the you know AI being diffused abundantly free AI being diffused all over industry, all over society. Um so that if someone would like to have an offtheshelf incredibly built service instead of making their own AI instead of hosting their own AI to have that choice I think is going to be fantastic.
对 因为我们 还不是 绝对 我们 还没有 做到 非常 完全 的 领先 有一些 判断 上 其实 基本上是 这样 就是说你 确实 你的 模型 出来之后 呃 就是这个 社区 他能 贡献 一些东西 比如说你 你在 你在 推理 册 可以 可以做 很多事情 对吧然后 你你 可以让 这个 模型 有 更多 人 免费 给你 s er ve 让他 就是 有 更多 人 去 用 然后 但 确实 你要 贡献 到 模型 本身 的 把这个 模型 本身 变得更 好 好像 还 只 只能是 你 原 厂 自己 来做 当然 就是说 现在 如果是 放在 这个 你如果 他 b a model 是这样 但是 就是说你 你如果 基于 这个 开 模型 去做 很多 po st ch a in ing 特别是 ag ent ic 的 po st ch a in ing 的话 有可能会 有 会产生 出来 一些 新 的机会 就 比如说 假设 你现在 想 非常 想去 做一个 就是 比如说 法律 相关的 这个 ag ent 然后你 是一个 比如说你 是个 创业 公司 想 去做 这个事情 那你 完全可以 g k 2 然后 在你的 定制 你 的这个 工具 集合 下面 对吧 你可以 选 出来 一个 s pe c al ize d ag ent 然后他 在 你 关注 的场景 下 表现 的 非常好 我觉得 存在 这样 的机会 对 但他 更多的 是 可能 去 赋 能 这个就是 更多的 可能 下 游 的 应用 就是你 你可能 很难 说 把 这些东西 再 变成 说你 的主 模型 这个 b a se model 的 提升 这个 可能 还是 目前 还是 很难 我觉得 大概是 这样吧 我觉得 这个问题 可能 可以 动态 的 观察 就 开 闭 源 之间的关系
Who denies it
- DeepSeek's Liang Wenfeng Breaks His Silence
liang-wenfeng-transcript - Zhang Peng: Zhipu AI IPO and the Road to AGI — Zhang Xiaojun Interview Full Transcript
zhang-peng-zhipu-ipo-interview-2026-01-07
So on this matter of open source, actually my judgment is that it’s sustainable. There’s no conflict between open source and commercial paid services—the premise is that under sixfold profit there’s no conflict.
We provide as much help as possible to the open source community, assisting everyone to deploy our models. I’m not worried they’ll steal this business from me, because this market is big enough. I’m only worried they can’t deploy it—that they got some details wrong, made the effect relatively poor, or that their cost is relatively high.
This also shows there’s actually no conflict. All of last year, on the C-end I basically open-sourced, and then the C-end service saw no conflict, really saw no conflict. So, this is the open source part.
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