Gary Marcus 称 AI 规模化投入是史上最大资本错配
Gary Marcus 在 CNBC 上直言当前 AI scaling 投入是史上最大资本错配，但他并不看衰 AI，还呼吁多探索新架构和开源路线。做 AI 投资决策或者纠结要不要 follow 大厂砸算力路线的人，值得听听这个反方观点。
Gary Marcus 在 CNBC 采访中表示，目前对 AI 规模化（scaling）的投入是"史上最大的资本错配"，整个行业都"背负风险"。他同时承认 AI 行业仍处于早期阶段，未来还需要探索不同的模型架构。
Marcus 的观点分两层：其一，他批评当前把资金集中押注在单一 scaling 路线上的做法，认为回报存在系统性风险；其二，他并非否定 AI 本身，而是主张继续探索替代性模型架构，并把开源生态视为重要方向。
这一表态与 Anthropic、OpenAI 等持续加码算力投入的主流路线形成鲜明对比，对关注资本开支回报的投资人和企业采购方有参考价值。
this interview is going to age like fine wine Gary Marcus @GaryMarcus “Gary Marcus … says that investments into scaling AI is the “greatest capital misallocation in history” which leaves everyone “on the hook”. However, he also says that it is still early days for the AI industry and further exploration into different model architectures and the future of open source is needed.” cnbc.com/video/2026/06/… 🔗 View Quoted Tweet📊 3 ⚡
This report is categorized under AITOP's "Industry" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Gary Marcus, AI投资, 开源模型, scaling.
Source attribution: curated from Gary Marcus (@GaryMarcus). Cross-source corroboration: 11 independent sources have covered this development (including Xianbao Qian, rohanpaul_ai, TestingCatalog), confirming industry-wide signal strength.
