Chamath 点破了 AI 竞争的下一个关键战场——私有数据，做 AI 产品、数据战略或投资的团队，值得思考自己是否拥有那个“额外配料”。
风险投资人 Chamath 指出，当各大实验室都能构建相似模型时，真正的竞争优势来自私有数据这一独特“配料”。他比喻说，给两个大厨三种食材，但给第三个大厨多一种，后者就能做出特别的东西。未来，公司会争相获取独家数据源，如医疗记录、工业日志、用户行为等，这些私有数据能让 AI 系统更独特、更难复制。这可能导致新一轮并购潮，大公司收购拥有独特数据流的初创公司，而非其收入或品牌。
Chamath: AI advantage may come less from models th…
Chamath: AI advantage may come less from models than from private inputs.
"When labs can build similar models, the real win comes from one unique ingredient in order to monetize it well.
Here is a basic thing about machine learning that is worth knowing: if you take 1,000 of the same inputs and give them to Facebook, Microsoft, Google, and Amazon, they will all come up with the same machine learning model.
But if you have one extra thing, one little ingredient that all of those other companies do not have, your output can be markedly different.
It is like giving two great chefs three ingredients, but giving the third chef one extra ingredient. That person has the ability to do something very special.
Right now, we are in a world where everybody is crawling the open web. We are going to move to a world where, as everybody gets sophisticated enough and information is widely available, somebody is going to say, “You know what? This site, I am not going to allow anybody else to access. It is only for me, only for my models.” Those models will become better.
So we have to let that play out a little bit. It is going to be a really interesting arms race.
The next wave of M&A, for example, could be companies like Google, Microsoft, and Facebook looking at these companies and saying, “Can they be viable inputs to my large language models or to my other machine learning and AI models?”
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A company with unique workflows, transactions, medical records, industrial logs, legal archives, design files, or user behavior can turn boring private data into a compounding advantage.
Some startups may never become great public companies on their own, yet still become valuable because they own a data stream that makes a larger AI system sharper, more differentiated, or harder to copy.
That turns acquisition strategy upside down: the buyer may not be purchasing revenue, brand, or even software, but a private ingredient for intelligence.
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From "iConnections" YouTube channel, (link in comment)