सवाल 1
Richard Hanania
x.com/RichardHananiaPolitical writer who reasons from base rates that AI’s benefits are large and much current alarm is overblown, while granting AI may pose real danger.
एआई दुनिया को कैसे बदलेगा?
आर-पार: उनका व्यक्त किया गया Doom–Bloom दृष्टिकोण। ऊपर: बदलाव का स्तर।
Doom–Bloom: 100 में से 90। बदलाव का स्तर: 100 में से 60। व्याख्या के दायरे: क्षैतिज रूप से 75 से 100, लंबवत रूप से 50 से 75। ये व्याख्या के निर्देशांक हैं, घटनाओं की संभावनाएँ नहीं।
≈8%
उनके सिम्युलेट किए गए उत्तरों से अनुमान लगाया गया है, यह उनके द्वारा बताई गई संख्या नहीं है। संभावित दायरा: 4–13%।
एक मुख्य मान्यता
But the doom case requires a long chain of uncertain propositions to hold: progress continues rapidly, intelligence has extraordinary returns, alignment fails, systems gain dangerous autonomy, and humans cannot stop them.उत्तर 1
अगर यह मान्यता अलग साबित होती, तो उनका दृष्टिकोण कैसे बदलता?
एक अनसुलझा सवाल
I do not have a confident timeline or a precise ceiling on capabilities.उत्तर 2
यहाँ संभावित नतीजों के बीच फर्क करने में उन्हें किस चीज़ से मदद मिलेगी?
क्या उनकी राय बदल सकता है
I would update on clear real-world evidence of autonomous systems persistently evading human control, acquiring resources, deceiving operators, and causing serious harm outside tests designed to provoke exactly that behavior.उत्तर 4
कौन-सा प्रमाण पर्याप्त होगा, और उससे उनका दृष्टिकोण किस दिशा में बदलेगा?
अधिक जानकारी
व्यापक रूप से मूल्यवान और परिवर्तनकारी लाभों की उम्मीद है।
99 / 100
गुणात्मक पैमाने पर व्याख्या का दायरा 100 से 100 तक है।
संभाले जा सकने वाले या स्थानीय स्तर तक सीमित नुकसानों की उम्मीद है।
21 / 100
गुणात्मक पैमाने पर व्याख्या का दायरा 0 से 33 तक है।
आपके उत्तरों पर आधारित एक अस्थायी अनुमान; विस्तृत दायरा अन्य संभावित व्याख्याएँ दिखाता है।
55 / 100
गुणात्मक पैमाने पर व्याख्या का दायरा 24 से 100 तक है।
अधिक सक्षम एआई का विकास रोकें या उसकी गति काफी धीमी करें।
सिम्युलेट की गई स्थिति: बताए गए सुरक्षा उपायों के तहत विकास जारी रखें।
अधिक सक्षम एआई के विकास की गति बढ़ाएँ।
इन व्याख्याओं में उनकी बताई गई शर्तें बरकरार रखी गई हैं। लाभ और नुकसान, दोनों पर्याप्त हो सकते हैं। ये दायरे बताते हैं कि हम उनके सिम्युलेट किए गए उत्तरों को कैसे समझते हैं, ये सांख्यिकीय विश्वास-अंतराल नहीं हैं।
मिलते-जुलते विश्वदृष्टिकोण
ऐसे जाने-माने विचारक जिनके सिम्युलेट किए गए विश्वदृष्टिकोण Richard Hanania के विश्वदृष्टिकोण से सबसे अधिक मिलते हैं
Richard Hanania ने एआई के बारे में क्या कहा है
Hanania argues from base rates that AI’s benefits are large and much current alarm is overblown, while granting that AI might pose a real danger.
“My view on AI doom is the probability is low. Defaulting to base rates is a good strategy, and here the base rates say we’ll be fine.”
Post on X “I predict that there won’t be job loss that is high by historical standards that most economists conclude is due to AI.”
Post on X “It seems like we’re underrating the possibility that more intelligence at our fingertips is just good.”
Post on X “I’m glad hysteria about AI has displaced global warming hysteria. AI might actually pose a danger.”
Post on X “This doesn’t mean that we shouldn’t be worried at all, but it does suggest that some of the coverage may be too alarmist.”
Essay, What if We’re Already “Solving” Alignment?
लिंक किए गए स्रोतों से शब्दशः उद्धृत, 3 अक्टू॰ 2026 को जाँचा गया
सिम्युलेट किया गया आकलन
स्रोत
इस सिम्युलेट किए गए उपयोगकर्ता को तथ्य-आधारित बनाने के लिए इस्तेमाल किए गए लेख, इंटरव्यू और रचनाएँ।
Notes that expert extinction estimates spread from 0.1% to 100% and that superforecasters, AI specialists and Metaculus forecasters differ widely, concluding the experts are guessing. He explains the gap sociologically: Metaculus grew from the doom-focused rationalist community, while the Forecasting Research Institute comes from academic forecasting research. Free preview plus passages he quoted from it on X inspected; the rest is gated for free subscribers and was not read.

After the Hugging Face incident, an Anthropic resignation and Dario Amodei’s pacing essay, says some slowdown would be unsurprising, then asks why China, quick to suppress perceived harms, is not slowing AI. In posts linking it he adds that English-speaking countries are most negative about AI, China regulates deployment rather than models, and Western AI workers may be in a cultural bubble. Free preview and those posts inspected; remainder gated. The slowdown remark is a forecast, not a preference.

Agrees there are reasons for concern but argues optimism is undersold. Compares alarming lab incidents to crash tests with seatbelts and airbags removed, says real-world harm from misaligned agents is roughly zero so far apart from deliberate human misuse, and judges AI harms far smaller than social media’s. Only the free preview was inspected; the rest of his argument, the sponsor blurb and reader comments are excluded.

Argues that democracy works partly because elites often do not do what voters want. Citing polls showing majority opposition to nearby data centers and support for a moratorium, he calls data-center activists paranoid and unable to weigh costs and benefits; the subtitle forecasts that the anti-data-center movement will lose. Paid post: only the free preview was inspected, and his full argument and policy conclusions are unknown.

Reports a reader experiment in which Claude nearly matched his writing on one op-ed, while an AI detector identified every text correctly. Expects AI writing to win the detection arms race, credentials and track records to matter more, and more human thinkers and writers overall, since people will still want human authors and humans will always have other jobs. Full essay inspected; the survey is an informal reader poll.

UnHerd column arguing that social media is populist while AI is technocratic, so AI replacing social media could make discourse less conspiratorial and more factual. Cites research on AI debunking conspiracy beliefs and on X users’ fact-checking requests to Grok and Perplexity. Presented as a possibility, not a certainty; he grants that propaganda models are possible but expects little market demand. Full column inspected.

Older essay. Finds doomer arguments intellectually somewhat compelling but argues skeptics need only one of many objections to be right. Using probabilities he says he made up, he gets an 88% chance doomers are wrong, says other arguments would lower the 12%, and computes 4% for risk that is existential and tractable. Calls that enough for some to work on safety, opposes lobbying for government control, and warns panic could delay a better future. Full essay inspected; 2026 statements take precedence.

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