Pertanyaan 1
Fei-Fei Li
x.com/drfeifeiStanford computer scientist and World Labs cofounder who works on spatial intelligence and argues for human-centered AI that serves people.
Bagaimana AI akan mengubah dunia?
Mendatar: pandangan Doom–Bloom yang ia ungkapkan. Ke atas: skala transformasi.
Doom–Bloom: 81 dari 100. Skala transformasi: 61 dari 100. Rentang interpretasi: 75 hingga 86 secara horizontal, 50 hingga 75 secara vertikal. Ini adalah koordinat interpretasi, bukan probabilitas kejadian.
≈4%
Disimpulkan dari jawaban simulasinya, bukan angka yang diberikan olehnya. Rentang yang masuk akal: 2–8%.
Asumsi utama
If we invest in open science, independent research, education and interdisciplinary oversight, I believe AI can become a powerful tool for enlarging human agency and improving lives.Jawaban 2
Jika asumsi ini ternyata berbeda, bagaimana pandangannya akan berubah?
Pertanyaan yang belum terjawab
I would not assign a credible number.Jawaban 4
Apa yang akan membantunya membedakan hasil-hasil yang masuk akal di sini?
Detail lebih lanjut
Beberapa penafsiran masih mungkin: Manfaat besar diperkirakan akan terwujud, dengan syarat penting atau keterbatasan distribusi. / Manfaat transformatif yang bernilai luas diperkirakan akan terwujud.
82 / 100
Rentang interpretasi 67 hingga 100 pada skala kualitatif.
Kerugian yang dapat dikelola atau bersifat lokal diperkirakan akan terjadi.
39 / 100
Rentang interpretasi 33 hingga 67 pada skala kualitatif.
Pilihan manusia menentukan: masa depan AI yang sangat berbeda masih dapat dicapai secara kolektif.
94 / 100
Rentang interpretasi 75 hingga 100 pada skala kualitatif.
Interpretasi ini mempertahankan kondisi yang dinyatakannya. Manfaat dan kerugian dapat sama-sama besar. Rentang tersebut menggambarkan cara kami membaca jawaban simulasinya, bukan interval kepercayaan statistik.
Pandangan dunia serupa
Pemimpin opini dengan pandangan dunia simulasi yang paling mendekati pandangan Fei-Fei Li
Apa yang pernah dikatakan Fei-Fei Li tentang AI
Li works on spatial intelligence and argues that AI should augment people, with governance based on science and guardrails on its applications.
“The goal of building any technology, AI included, should be bettering human lives and society.”
Post on X “As one of the scientists who helped usher in the era of modern AI, my motivation has always been clear: AI must augment human capability, not replace it.”
Essay, From Words to Worlds “Spatial intelligence will transform how we create and interact with real and virtual worlds—revolutionizing storytelling, creativity, robotics, scientific discovery, and beyond.”
Essay, From Words to Worlds “I really think a pragmatic approach that focuses on applications and ensuring a guardrail for safe deliverance of this technology is a good starting point.”
PBS, Firing Line “One thing that I think we should do is base all this on science, not science fiction.”
Possible podcast
Dikutip kata demi kata dari sumber yang ditautkan, diperiksa pada 3 Okt 2026
Penilaian Simulasi
Sumber
Artikel, wawancara, dan tulisan yang digunakan sebagai landasan bagi pengguna simulasi ini.
Li and the World Labs team distinguish renderers, simulators and planners. Physically faithful simulation supports design and robotics, while scarce 3D data and the simulation-to-reality gap remain bottlenecks. Their aspiration for unified world models is separate from current product validation.

Li’s own answers emphasize scientific discovery, education, public service, interdisciplinary stewardship, open science and reproducibility. Landay and Hennessy also speak; their specific claims are not silently attributed to Li.

Li’s manifesto argues that perception, simulation and action in physical space are central to intelligence and creativity. Describes limits of contemporary models and a direction for world models; its benchmark observations belong to November 2025.

Podcast transcript. She says AI policy should be based on science, not science fiction, and that hype about either the extinction of humanity or world peace because of AI is more science fiction than science. Qualitative; no number.

Di mana posisi Anda?
Petakan pandangan dunia saya