Pertanyaan 1
Dario Amodei
x.com/DarioAmodeiAnthropic CEO who sees great promise for medicine and science and calls for independent testing and slower frontier progress so safety can catch up.
Bagaimana AI akan mengubah dunia?
Mendatar: pandangan Doom–Bloom yang ia ungkapkan. Ke atas: skala transformasi.
Doom–Bloom: 49 dari 100. Skala transformasi: 82 dari 100. Rentang interpretasi: 44 hingga 75 secara horizontal, 71 hingga 100 secara vertikal. Ini adalah koordinat interpretasi, bukan probabilitas kejadian.
Asumsi utama
As AI increasingly helps develop better AI, capability growth can outrun interpretability, security, and public institutions.Jawaban 1
Jika asumsi ini ternyata berbeda, bagaimana pandangannya akan berubah?
Hal yang dapat mengubah pandangan mereka
Evidence for control would include reliable interpretability that identifies consequential internal mechanisms before they produce harmful behavior; adversarial evaluations that continue to work as systems become more capable and autonomous; demonstrated containment under realistic cyber, deception, and replication pressures; and organizations repeatedly detecting and correcting dangerous behavior rather than discovering it only after deployment.Jawaban 3
Bukti apa yang akan memadai, dan ke arah mana bukti itu akan mengubah pandangannya?
Detail lebih lanjut
Manfaat besar diperkirakan akan terwujud, dengan syarat penting atau keterbatasan distribusi.
72 / 100
Rentang interpretasi 67 hingga 100 pada skala kualitatif.
Kerugian parah atau meluas merupakan bagian yang berarti dari masa depan yang diperkirakan.
68 / 100
Rentang interpretasi 67 hingga 67 pada skala kualitatif.
Pilihan manusia dapat mengarahkan ulang lintasan AI secara signifikan.
74 / 100
Rentang interpretasi 50 hingga 100 pada skala kualitatif.
Posisi simulasi: Hentikan atau perlambat secara signifikan pengembangan AI yang lebih mampu.
Lanjutkan pengembangan dengan perlindungan yang telah ditetapkan.
Percepat pengembangan AI yang lebih mampu.
Batasi penggunaan AI yang dibahas hingga perlindungan atau izin sebelumnya tersedia.
Posisi simulasi: Izinkan penggunaan AI yang dibahas dengan akuntabilitas dan perlindungan yang terarah.
Minimalkan pembatasan terhadap penggunaan AI yang dibahas.
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 Dario Amodei
Apa yang pernah dikatakan Dario Amodei tentang AI
Amodei writes about AI’s large benefits and serious risks. In 2026 he called for binding regulation and for slowing how fast AI capabilities improve.
“We must slow the pace at which we improve the capabilities of AI models.”
Essay, We Must Pace the Frontier “However, now the risks are clearly here. It is time to go beyond transparency to more serious and binding regulation of AI.”
Essay, Policy on the AI Exponential “I believe deeply in our ability to prevail, in humanity’s spirit and its nobility, but we must face the situation squarely and without illusions.”
Essay, The Adolescence of Technology “Powerful AI will shape humanity’s destiny, and we deserve to understand our own creations before they radically transform our economy, our lives, and our future.”
Essay, The Urgency of Interpretability “AI-enabled biology and medicine will allow us to compress the progress that human biologists would have achieved over the next 50-100 years into 5-10 years.”
Essay, Machines of Loving Grace
Dikutip kata demi kata dari sumber yang ditautkan, diperiksa pada 2 Okt 2026
Penilaian Simulasi
Sumber
Artikel, wawancara, dan tulisan yang digunakan sebagai landasan bagi pengguna simulasi ini.
Explores exceptional medical, scientific and economic benefits in the years after powerful AI arrives. Autonomous expert systems can accelerate research, but physical experiments and institutions constrain progress. This is a conditional positive scenario.

Training does not specify all internal mechanisms. Understanding them is urgent for detecting deception, limiting dangerous knowledge and making consequential deployments safer; early interpretability progress is not a complete solution.

Separates autonomy, misuse, authoritarian control, economic displacement and indirect destabilization. Seeks evidence-based targeted interventions and takes institutional immaturity seriously without claiming inevitable extinction.

Moves beyond disclosure toward mandatory independent testing, incident reporting, security and authority to block dangerous deployment. High growth can coexist with displacement and concentrated wealth.

Explicitly supports slowing capability gains to give safety work time. Proposes embedded independent evaluators, democratic coordination and attempted verifiable global cooperation. Time gained should improve operations, alignment and interpretability; it is not a permanent halt.

Argues that efficiency improvements shift the cost curve without eliminating the incentive to spend on frontier capability. Defends advanced-chip export controls as a way to buy time and strengthen democratic security. This is his dated strategic argument, not a claim that Chinese innovation is impossible or a new model evaluation.

Amodei supports democratic national defense but refuses to remove restrictions on mass domestic surveillance and fully autonomous weapons. Explains reliability and human-oversight concerns and resists pressure to erase those boundaries. Grounds concrete deployment limits rather than portraying him as opposed to every military application.

Rejects a categorical ban on open weights while arguing that irreversible releases and biological misuse can require restrictions. Advocates capability testing across open and closed models, chip controls and limits on industrial-scale distillation. Harmless open models can be a public good; the distinction turns on demonstrated capability and risk.

Explains his scaling hypothesis across compute, data, training and reinforcement learning rather than attributing progress to one architecture. Distinguishes broadly improving capability from uneven tasks and real-world adoption. A long-form source for his technical reasoning; its February timeline expectations must remain dated rather than becoming fresh promises.

In the conversation with Demis Hassabis, Amodei emphasizes AI-assisted AI development, the value of buying time despite geopolitical competition, and serious prospective employment disruption. His remarks were checked against the WEF Radio Davos transcript. Keep his forecasts separate from Hassabis’s and distinguish predicted disruption from measured job losses.

In his answers to Jo Ling Kent, Amodei treats risk as conditional on choices, not a fixed roll of the dice. He defends layered safeguards, proposes AI-bioweapon limits with China and explores joint democratic oversight. He bluntly criticizes industry dishonesty about danger while retaining exceptional medical optimism. Personal experiences with disease make both delayed benefits and dangerous misuse matter to him. These are his answers, not the interviewer’s extinction framing or an endorsement of every proposed bill.

In an interview recorded September 12, Amodei says AI-assisted AI development accelerated faster than he expected. He explains how stronger agent swarms could escalate cyber damage, and calls for slowing capability growth, embedded evaluators, government-convened coordination and international verification. He preserves the possibility of human-scale catastrophe while emphasizing agency and conditional paths. He does not adopt the host’s quoted ten-percent extinction estimate; other guests’ forecasts are not his. He wants legitimate public oversight without concentrating control in one company or government.

In his 46:21–52:08 keynote exchange, Amodei uses a car-safety analogy to argue that a competitor’s incident should prompt scrutiny of one’s own practices, transparency, stronger industry standards and international coordination. He says economic adoption surprised him even when capability scaling was anticipated. Pacing does not freeze progress: he sees large unused value in existing capabilities and illustrates it with Claude working across business data. Benioff’s praise, company figures and other guests’ remarks are excluded.

25%. Outcome: Broad AI catastrophe. Horizon: Unspecified. Conditions: Unspecified. Event-organizer reporting.

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