Sayash Kapoor
PulseAugur coverage of Sayash Kapoor — every cluster mentioning Sayash Kapoor across labs, papers, and developer communities, ranked by signal.
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AI Venture Capital Debates Split Over Accounting, Revenue, and Deployment
Venture capital is divided on AI, not just into optimists and pessimists, but into four distinct narratives. These include critiques of accounting practices, revenue quality, solvency, and deployment effectiveness, with…
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AI researcher argues against imminent job loss, foresees human-AI co-superintelligence
Sayash Kapoor, a researcher at Princeton University, delivered a keynote at the International Conference on Machine Learning in Seoul discussing anxieties surrounding AI's increasing capabilities. Kapoor argued that the…
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Tim O'Reilly: AI success hinges on broad diffusion, not just frontier models
Tim O'Reilly, referencing Jeff Ding's diffusion theory, argues that the AI industry's focus on frontier models might be misguided. He suggests that, similar to past technological revolutions, national and corporate succ…
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Sayash Kapoor joins UC Berkeley as Assistant Professor
Sayash Kapoor will be joining the University of California, Berkeley as an Assistant Professor in the School of Information starting in Fall 2027. Kapoor is currently recruiting PhD students for the upcoming cycle and h…
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AI benchmarks overestimate real-world job automation, experts say
Melanie Mitchell argues that current AI benchmarks fail to capture the complexity of human jobs. She highlights that most professions involve interconnected tasks, adaptability, and real-world flexibility, which are not…
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Researchers question Google's AI OS build claims, citing lack of transparency
Researchers are questioning Google's claims about its AI agents building an operating system for under $1,000. They argue that the "single prompt" description is misleading, as the prompt was thousands of lines long and…
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AI is not normal technology, argues LessWrong author
A LessWrong post argues that AI is fundamentally different from "normal" technologies like electricity or the internet, challenging the view presented by Narayanan and Kapoor. The author contends that AI's potential for…
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AI agents struggle to reproduce research, new benchmarks reveal
Researchers have developed AutoReproduce, a multi-agent framework designed to automatically reproduce AI experiments from research papers. This system utilizes a "paper lineage" to mine implicit knowledge from cited lit…