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Nikitabier 认为技术护城河基本已经消失，如今要构建持久的业务，仅剩的护城河是专有数据、网络效应和物理组件。
Palantir CEO Alex Karp on CNBC contrasts closed AI models, which may compromise proprietary data, with open-weight models that enable better control and are increasingly used in classified environments.
Profound raised $180 million in Series D funding at a $1.8 billion valuation, co-led by Sequoia and Kleiner Perkins, highlighting a successful business model with proprietary AI data.
The article presents a framework for valuing proprietary data in AI systems, using Google's $10M bid for Spirit's data to calculate the economic uplift needed for break-even.
A comment arguing that LLMs rely on proprietary data often obtained without permission, framing it as stolen intellectual property.
Larry Ellison argues that AI models are commoditizing due to reliance on public internet data, making proprietary data the true competitive advantage. Meanwhile, Emad Mostaque predicts the cost of Kimi K3 will drop significantly.
A commentary warns that using non-local AI like Claude to build your business exposes your proprietary data and business model, enabling AI owners to replicate them at lower cost.
The article argues that enterprises should post-train their own custom AI models for mission-critical, high-volume use cases to achieve differentiation, cost savings, and control over tradeoffs, rather than relying solely on general frontier models.