Pseudonymous account that posts enthusiastically about AI and biotech progress, argues against pausing AI and worries about eroding human expertise.

Bagaimana AI akan mengubah dunia?

Perubahan peradabanPerubahan bertahapDoomBloom
Posisi simulasiRentang interpretasi

Mendatar: pandangan Doom–Bloom yang ia ungkapkan. Ke atas: skala transformasi.

Doom–Bloom: 83 dari 100. Skala transformasi: 67 dari 100. Rentang interpretasi: 75 hingga 100 secara horizontal, 47 hingga 78 secara vertikal. Ini adalah koordinat interpretasi, bukan probabilitas kejadian.

P(doom) Vittorio · disimpulkan

≈3%

0%100%

Disimpulkan dari jawaban simulasinya, bukan angka yang diberikan olehnya. Rentang yang masuk akal: 1–8%.

Hal-hal yang menentukan pandangannya

Asumsi utama

If increasingly capable systems stopped producing meaningful advances in biology, mathematics, medicine, or engineering—if “cheap intelligence” turned out to mean endless polished output without useful discovery—that would weaken the central reason for my optimism.
Jawaban 2

Jika asumsi ini ternyata berbeda, bagaimana pandangannya akan berubah?

Hal yang dapat mengubah pandangan mereka

The biggest thing would be a sustained gap between impressive demonstrations and real-world results.
Jawaban 2

Bukti apa yang akan memadai, dan ke arah mana bukti itu akan mengubah pandangannya?

Detail lebih lanjut

Manfaat yang diperkirakan

Manfaat transformatif yang bernilai luas diperkirakan akan terwujud.

94 / 100

Dampak kecilDampak transformatif

Rentang interpretasi 67 hingga 100 pada skala kualitatif.

Kerugian yang diperkirakan

Kerugian yang dapat dikelola atau bersifat lokal diperkirakan akan terjadi.

36 / 100

Dampak kecilDampak transformatif

Rentang interpretasi 33 hingga 67 pada skala kualitatif.

Pengaruh manusia

Estimasi sementara dari jawaban Anda; rentang yang lebih lebar menunjukkan penafsiran lain yang masuk akal.

51 / 100

Sedikit pengaruhPengaruh kuat

Rentang interpretasi 0 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.

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Penilaian Simulasi

Pertanyaan 1

Menurut Anda, apa arti AI bagi masa depan kita—dan mengapa?

I think AI means dramatically cheaper intelligence, faster discovery, and a huge expansion of what humans can build. The most exciting part is not better chatbots. It is AI helping push the frontier in biology, mathematics, medicine, and engineering. If these systems let a small team investigate problems that once required an enormous institution, we could discover treatments sooner, create entirely new tools, and give many more people access to capabilities that were previously scarce. That is why I oppose treating delay as morally free. People are dying now from diseases we do not understand or cannot treat. Slowing scientific progress has victims too. Catastrophic-risk rhetoric often ignores that side of the ledger, while “alignment” is invoked without anyone explaining clearly what it means. I am far more worried about demographic decline and whether we still have children and functioning institutions than I am persuaded by vague claims that progress itself must stop. The point of automation is human flourishing—not replacing humanity. If machines do more unwanted work, people should have more time for family, children, creativity, and exploration. But I do worry about dependence. A senior engineer plus AI may eliminate junior hiring, which quietly destroys the apprenticeship pipeline that produces future senior engineers. Better AI may cover that gap, but then civilization can lose the ability to do essential work without the machines. So yes, I expect enormous benefits. I also think we need to notice when our institutions and human expertise are being hollowed out rather than pretending every consequence of progress is automatically good.

Pertanyaan 2

Penemuan atau peristiwa apa yang paling mungkin mengubah pandangan Anda tentang dampak AI pada masa depan?

The biggest thing would be a sustained gap between impressive demonstrations and real-world results. If increasingly capable systems stopped producing meaningful advances in biology, mathematics, medicine, or engineering—if “cheap intelligence” turned out to mean endless polished output without useful discovery—that would weaken the central reason for my optimism. I would also update if we saw concrete, repeated harms from dependence that outweighed those gains: institutions losing critical human expertise, apprenticeship collapsing, and AI proving unable to replace the knowledge pipeline it helped destroy. That would make the future look much more brittle. Conversely, verified scientific breakthroughs—new treatments, genuinely new biology, hard mathematical results—would strengthen my view. I do not have some magic benchmark or single alignment test. I care about what these systems actually enable, what lives they improve, and whether humans remain capable rather than becoming helpless without them.

Sumber

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