When I sit down to write a piece, and before I even write a word, I have the agent interview me. It asks questions to draw out what I'm thinking about the topic.
大多数人认为AI写作始于人类向AI提供想法，但作者展示了相反的过程：AI先通过采访人类来提取想法。这种反转挑战了人们对AI写作方向的认知，表明AI不仅可以辅助写作，还可以成为激发和引导人类思考的工具，重新定义了写作中的主导关系。
Interviews were video and audio recorded. We transcribed the audio using OpenAI's Whisper automatic speech recognition system and anonymized the transcript before analysis.
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Immediately after the focused reading task, we conducted a short interview asking participants to reflect on their experience with both tasks (Appendix J.2), followed by a post-study survey (Appendix J.3).
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The study concluded with a 15-minute semi-structured interview. During the interview, participants saw screenshots from the three conditions and were asked which they preferred and disliked, why, what they wished the interface had, what influenced their skimming, and how they normally skimmed texts.
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After the interviews, we analyzed the data using the process described in Appendix B
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We used these mock-ups as design probes [31] to inspire ideation and elicit creative responses. Specifically, we asked participants to compare and contrast alternative mock-ups and reflect on how they could be used or improved to support their known or emerging synthesis and information-foraging goals.
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In the second part of the session, we provided participants with mock-ups of possible reifications of cross-document relationships that might help them synthesize information across abstracts.
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In the first part of the session, we asked participants about their strategies for selecting publication venues for their manuscript submissions, how they identify and synthesize information from venues, their approaches to writing manuscripts, and finally, the technology they have used to help with these processes, current technology shortcomings, and ideas for addressing these challenges.
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Sessions, which were held on Zoom, lasted 55 minutes on average. Participants were compensated with $15 USD.
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The interview sessions were divided into two parts: an open-ended semi-structured interview about their backgrounds and practices, followed by feedback on a range of mock-ups, including novel reified relationships between analogous sentences in different abstracts (Figure 2).
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In order to determine (1) the context in which we might offer novel views of scientific abstracts and (2) the intelligibility of various novel prototype designs for reifying cross-abstract relationships, we conducted a formative interview study with 12 active researchers (see Appendix A for participant information).
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for - youtube - AI will end Capitalism - interview - Emad Mostaque - book - The Last Economy - to - book - The Last Economy - https://hyp.is/JGCVHsgrEfCKpkua_vRoBw/webstatics.ii.inc/The%20Last%20Economy.pdf
for - natural language acquisition - Automatic Language Growth - ALG - youtube - interview - David Long - Automatic Language Growth - from - youtube - The Language School that Teaches Adults like Babies - https://hyp.is/Ls_IbCpbEfCEqEfjBlJ8hw/www.youtube.com/watch?v=984rkMbvp-w
summary - The key takeaway is that even as adults, we have retained our innate language learning skill which requires simply treating a new language as a new, novel experience that we can apprehend naturally simply by experiencing it like the way we did when we were exposed to our first, native language - We didn't know what a "language" was theoretically when we were infants, but we simply fell into the experience and played with the experiences and our primary caretakers guided us - We didn't know grammar and rules of language, we just learned innately
there's all sorts of things we have only the Diest understanding of at present about the nature of people and what it means to be a being and what it means to have a self we don't understand those things very well and they're becoming crucial to understand because we're now creating beings so this is a kind of philosophical perhaps even spiritual crisis as well as a practical one absolutely yes
for - quote - youtube - interview - Geoffrey Hinton - AI - spiritual crisis - AI - Geoffrey Hinton - self - spiritual crisis
quote - AI - spiritual crisis - We only have the dimmest understanding of, at present the nature of people and what it means to have a self - We don't understand those things very well and they're becoming crucial to understand because we're now creating beings - (interviewer: so this is becoming a philosophical, perhaps even spiritual crisis as a practical one) - Absolutely, yes
for - progress trap - AI superintelligence - interview - AI safety researcher and director of the Cyber Security Laboratory at the University of Louisville - Roman Yampolskiy - progress trap - over 99% chance AI superintelligence arriving as early as 2027 will destroy humanity - article UofL - Q&A: UofL AI safety expert says artificial superintelligence could harm humanity - 2024, July 15
for - AI - progress trap - interview Eric Schmidt - meme - AI progress trap - high intelligence + low compassion = existential threat
Summary - After watching the interview, I would sum it up this way. Humanity faces an existential threat from AI due to: - AI is extreme concentration of power and intelligence (NOT wisdom!) - Humanity still have many traumatized people who want to harm others - low compassion - The deadly combination is: - proliferation of tools that give anyone extreme concentration of power and intelligence combined with - a sufficiently high percentage of traumatized people with - low levels of compassion and - high levels of unlimited aggression - All it takes is ONE bad actor with the right combination of circumstances and conditions to wreak harm on a global scale, and that will not be prevented by millions of good applications of the same technology
for - AI - impact on jobs -WIRED interview
for - AI - inside industry predictions to 2034 - Leopold Aschenbrenner - inside information on disruptive Generative AI to 2034
document description - Situational Awareness - The Decade Ahead - author - Leopold Aschenbrenner
summary - Leopold Aschenbrenner is an ex-employee of OpenAI and reveals the insider information of the disruptive plans for AI in the next decade, that pose an existential threat to create a truly dystopian world if we continue going down our BAU trajectory. - The A.I. arms race can end in disaster. The mason threat of A.I. is that humans are fallible and even one bad actor with access to support intelligent A.I. can post an existential threat to everyone - A.I. threat is amplifier by allowing itt to control important processes - and when it is exploited by the military industrial complex, the threat escalates significantly
for - progress trap - AI - threat of superintendence - interview - Leopold Aschenbrenner - former Open AI employee - from -. YouTube - review of Leopold Aschenbrenner's essay on Situational Awareness - https://hyp.is/ofu1EDC3Ee-YHqOyRrKvKg/docdrop.org/video/om5KAKSSpNg/