作者指出多数AI新实验室将失败,质疑盲目复制OpenAI与Anthropic模式并大量购买GPU的做法。文章呼吁挑战Scaling Law、Transformer架构及下一个token预测范式,去支持逆势创新者。此外,作者指出优秀研究人员未必能成为出色的创始人,将研究转化为可持续商业产品往往存在困难。
People ask: “Are you dunking on neolabs?”
Most neolabs will fail. That’s normal. But I believe more AI breakthroughs are coming.
I’m skeptical of those following the same playbook as OpenAI and Anthropic. Raising $1B and spending 50% on GPUs doesn’t make you a $10B company.
I’m rooting for the contrarians. Challenge scaling laws. Challenge transformers. Challenge how models learn. Challenge the next-token prediction paradigm.
My bigger concern is that brilliant researchers don’t necessarily make great founders. In my experience, researchers often struggle to turn their research into great products / sustainable businesses.
来源:Yuchen Jin · x.com