首次公开募股前的巨额账面亏损告诉你，模型业务在盈利之前就很昂贵。
10 月 21 日的简报称，Anthropic 在六个月内损失了约 807 亿美元，并正在寻求最早于 11 月中旬进行 IPO。即使考虑到股权和计算的会计，这种规模也提醒人们利润有多么微薄。
市场讲述的故事是“人工智能正在印钞”。对于实验室来说，现实是 GPU、人才和容量的消耗，只有当使用量的增长速度快于成本的增长速度时，这些消耗才能转化为利润。
我不认为这是厄运。我将其视为资本密集的基础设施业务在其第一个十年的正常形态。云计算也连续多年亏损。
对于买家来说，重点是在融资环境收紧的情况下选择值得信赖的供应商。您所依赖的模型应该能够经受住下一季度的考验。
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人工智能工具太多？这是找到您真正需要的东西的更好方法
If you only check AI news on weekends, this was the weekend to check. The theme was not a bigger model, it was models that do a specific job well enough to hand them the keys.
A model that finds vulnerabilities but refuses to step outside authorized scope is not just a better scanner. It is the first time the powerful exploit-finder has been gated to the people who already had permission to look.
