「計算リソースの不足」という言葉の解釈は人それぞれで、GPUが実際には遊休状態にあるとの指摘もある。筆者はこれまで、主に電力・電気の問題だと考えていた。田舎ではデータセンターに電力が奪われ、停電や電気代高騰が起きているという。また、データセンター建設には不動産も必要で、これがGoogleやSpaceXが軌道上データセンターを検討する理由の一つかもしれない。本当の原因はGPU/シリコンの供給不足なのか、電力制約なのか、あるいは別の要因なのか、意見を求めている。
Leila Clark defends Jared Friedman's decision to give an AI agent full access to YC's production database, arguing that professional engineers with proper guardrails—backups, documented prohibitions, ORMs, and post-mortems—can safely unlock significantly greater productivity from AI agents, which are often smarter than average new developers.
In an interview, Yuval Noah Harari discusses how AI may serve as a force for truth, among other interesting topics.
The author argues that while no single math field has high ROI for the average programmer, each developer works in a domain where some branch of math could help. They suggest broad exposure to many fields (e.g., via textbooks) is more practical than deep study of one topic, since you need to know a field exists before deciding to learn it in depth.
Garry Tan says Jo uses GBrain under the hood, calling it one of the fastest ways to set up a personal or company AI. Kevin Li describes building an AI assistant that works proactively, completing tasks before the user wakes up, and shares a real-life example of his own family using it.