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r/valueinvestingr/valueinvesting· u/Kind-Ad-4756· 5 天前Discussion 6

关于前沿模型

投资者摘要看空

开源AI追赶付费模型可能摧毁LLM构建者的财富,但利好软硬件公司。

看多要点
  • 基于开源模型构建服务的软件公司将蓬勃发展。
  • 由于运行这些模型需要庞大的算力,硬件公司将保持盈利。
看空要点
  • 开源模型的质量已达到付费模型的80-90%,并最终会与之持平。
  • 通用大模型将不再是直接创收的产品,从而摧毁模型构建者IPO的财富。
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高质量模型翻译结果

最近几天我一直在使用一些开源和开放权重的模型,至少就我的应用而言,它们的表现几乎达到了付费模型(如 Claude 或 OpenAI Codex)的 80% 到 90%。

我不用费多大力气就能想象,最终它们会追上并趋同于付费模型。

在我看来,无论 Anthropic 和 OpenAI 何时上市,都可能在不久的将来或最终摧毁大量财富。

那些使用这些模块并在此基础上构建服务的软件公司会没事。硬件公司也一样,因为并非人人都负担得起运行这些模型所需的算力。而大语言模型的构建者们,可能会被压缩为仅提供服务、咨询或增值服务,但通用模型本身将不再是一个能赚钱的产品。

还有其他人有这种感觉吗?还是说我真的完全搞错了什么?

讨论 · 高赞评论6 条精选
u/gbdgdh 2· 5 天前

the llm builders are bleeding cash - spending more than they make. the openai v. anthropic rivalry is a race to the bottom. google is going to come out the long term winner because they integrate AI into their vast product portfolio (and microsoft as well because of integration opportunities of their own).

u/Sufficient-Flan1565 2· 5 天前

I kinda agree. Reminds me when at a time MATLAB was really popular among many domains including ML but Python came along with all its various libraries like TensorFlow, torch, numpy etc and sides MATLAB out. Big factor is Python being free and open source

u/goosen19 2· 5 天前

I agree that LLMs will become commoditized, and in many ways already are. The only way frontier labs can differentiate on the model is by throwing massive amounts of cash into the R&D money pit. Once this is forced to slow down the gap between open source and closed source models will likely shrink significantly for a majority of use cases.

In my opinion, this is a big reason why frontier labs like OpenAI are desperately trying to break into new markets, like mobile phones for example.

u/valbolt 1· 5 天前

Your thesis is spot-on regarding the middle tier of the market. Open-source is aggressively cannibalizing the standard LLM use cases, and any company whose sole moat is "we API into OpenAI" is facing an existential crisis.

Where the wealth destruction argument gets tricky is the definition of a "frontier." If the top labs are just building slightly better text predictors, they will absolutely be commoditized into utility providers...but if their massive capital spend allows them to unlock completely new paradigms like autonomous scientific research or flawless multi-agent orchestration, enterprises will pay whatever they ask.

The hardware and application layers are definitely the safer bets, but the labs aren't dead yet if they can keep widening the capability gap.

u/thefrogmeister23 1· 5 天前

Good points. Is the application layer safe though? Whether the model layer gets commoditized or not, software companies will have more competition?

u/valbolt 1· 5 天前

It's dependent on their adoption of AI architecture, which can make much more, all the wrappers that use ChatGPT API style will die as the vendors themselves will provide the products