New Yorker 10月09日 01:17
人工智能浪潮下,人类面临“永久性底层”的担忧
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随着人工智能的飞速发展,一种新的担忧在硅谷蔓延:人类可能面临被淘汰,沦为“永久性底层”的风险。文章指出,人工智能有望在不久的将来承担绝大多数人类工作,那些无法掌握或利用AI技术的人将面临严峻挑战。从社交媒体上的段子到严肃的学术预测,都暗示着一个AI主导的未来,资本将掌握计算能力,而普通人则机会渺茫。这种紧迫感促使人们急于在AI时代到来前抓住机会,例如通过创作内容或与AI紧密合作来巩固自身地位。然而,对于未来社会结构和财富分配的宏大设想仍不明朗,这加剧了人们对不平等加剧的焦虑。

🤖 **AI驱动的“永久性底层”担忧**:文章引用了“无产阶级”的概念,并将其引申至人工智能时代,担忧AI的快速发展将创造一个“永久性底层”或“永久性无产阶级”,即那些因AI自动化而失去工作机会、无法进入劳动力市场或被技术淘汰的人群。

⏳ **紧迫的“窗口期”与生存策略**:硅谷的讨论和网络迷因暗示,人类可能只有很短的时间窗口(例如两年)来适应AI浪潮。为了避免沦为底层,人们被鼓励“尽快生产AI生成或增强的内容”(ship slop asap),或通过创作、与AI紧密合作等方式来“爬升阶梯”,成为AI时代的“领导者”而非被淘汰者。

🚀 **技术加速与失业预测**:文章提及研究预测AI可能在2027年达到或超越人类能力,技术进步可能进入自我强化的“失控反馈循环”,导致人类在工作中的作用被边缘化。从编码、营销到工厂管理,AI都有可能取代人类,甚至在物理任务上也能做得更好,使人类成为“效率最低的物质安排”。

📊 **现实迹象与不平等加剧**:AI已开始渗透日常生活,如AI生成视频、企业软件中的AI助手、自动驾驶汽车等。经济统计数据也显示出招聘放缓的迹象,尤其是对新毕业生的就业困难,这被部分归因于AI自动化。这种状况导致了“分层感”,即一部分人因AI而飞黄腾达,而另一部分人则面临失业困境。

💡 **未来社会结构的不确定性**:文章强调,目前对于AI主导的未来社会如何运作,以及如何进行财富再分配(如全民基本收入UBI)缺乏清晰的规划。这种不确定性加剧了人们对未来社会结构和个人生存空间的焦虑,人们可能面临的未来是充斥着AI生成内容和聊天机器人陪伴的“黯淡世界”。

The “lumpenproletariat,” according to “The Communist Manifesto,” is “the social scum, that passively rotting mass thrown off by the lowest layers of the old society.” Lower than proletariat workers, the lumpenproletariat includes the indigent and the unemployable, those cast out of the workforce with no recourse, or those who can’t enter it in the first place, such as young workers in times of economic depression. According to some in Silicon Valley, this sorry category will soon encompass much of the human population, as a new lumpenproletariat—or, in modern online parlance, a “permanent underclass”—is created by the accelerating progress of artificial intelligence.

The idea of a permanent underclass has recently been embraced in part as an online joke and in part out of a sincere fear about how A.I. automation will upend the labor market and create a new norm of inequality. In an A.I.-dominated future, those with capital will buy “compute” (the tech term for A.I. horsepower) and use it to accomplish work once done by humans: anything from coding software to designing marketing campaigns to managing factories. Those without the same resources will be stuck with few alternatives. A sense of dread about this impending A.I. caste system has created a new urgency to get ahead while you still can. “You have 2 years to create a podcast in order to escape the permanent underclass,” one Silicon Valley meme account, @creatine_cycle, posted recently on X, suggesting that perhaps fame can still save you. “Honestly if you don’t want to be a part of the permanent underclass you should probably ship slop asap,” another person posted, using the slang term for any A.I.-generated or augmented content; in other words, start leaning in to A.I. products or stay poor forever. The creator of @creatine_cycle is Jayden Clark, a former musician turned entrepreneur working in San Francisco. His niche posts satirize the id of the tech industry, which he has seen change radically since the advent of the A.I. gold rush. In the future that A.I. hustlers envision, Clark told me, “nobody’s working anymore.” He continued, “whoever hasn’t gotten in, you have no other chance to climb the ladder.”

The worries of a looming deadline for employability stem in part from an influential essay, published last year by the researcher and former OpenAI employee Leopold Aschenbrenner, predicting that A.I. will reach or exceed human capacity in 2027. Aschenbrenner writes that it is “strikingly plausible” that, by then, “models will be able to do the work of an AI researcher/engineer.” At that point, technological progress would become self-reinforcing, operating on a runaway feedback loop: A.I. would build more powerful A.I. on its own, rendering humans superfluous. Nate Soares, a prominent A.I. pessimist, the president of the Machine Intelligence Research Institute, and co-author of a recent best-selling book on A.I. titled “If Anyone Builds It, Everyone Dies,” told me, “In Silicon Valley, it’s like everyone’s seen a ghost.” He continued, “We don’t know how long there is on the clock” before the dawn of full A.I. automation. Regardless of his own existential fears about the technology, Soares said, “people should not be banking on work in the long term.” The tech jobs may be the first victims, not unlike how Frankenstein’s monster killed its creator. Then comes the wider world of digitized labor: writing e-mails, filling out spreadsheets, making presentations. Finally, self-innovating A.I. will develop intelligent machines to better perform physical tasks. Whatever A.I. can do better, it will, according to Soares: “Humans are just not the most efficient arrangement of matter to do almost any job.”

The fear of a permanent underclass stems in part from the progress that A.I. has already made. Whether we want it or not, the technology is creeping into our daily lives. Both OpenAI and Meta have recently launched feeds of purely A.I.-generated videos, auguring an era of social media in which even the most elaborate content we consume is no longer created by humans. Workaday corporate software such as Salesforce is being amped up with A.I.-powered “agents” that can independently perform tasks for users. Waymo cars drive themselves through the streets of major cities. Some economic statistics are already hinting at a hiring slowdown, particularly among new workers; this year, the unemployment rate for recent American college graduates surpassed the national average, an anomaly that an Oxford Economics report primarily blamed on A.I. automation. Entry-level software engineers are facing particular difficulty. Jasmine Sun, a former employee of Substack who writes a newsletter covering the culture of Silicon Valley, told me, of tech workers, “Many are really struggling and can’t find even a normal salary, and some of the people are raking it in with these never-seen-before tech salaries. That creates this sense of bifurcation.”

The new desirable employee archetype is a “cracked twenty-two-year-old,” Sun said, using the slang for a hyperproductive, extremely online programmer who might work “nine-nine-six,” a term adopted from workers in China that refers to a schedule of 9 A.M. to 9 P.M., six days a week. The only way to escape the permanent A.I. underclass, ironically, is to lean in and hustle in a bot-like way. “Rather than being politically radicalized, everyone grinds harder,” Sun said. The reward for the grind might be a role as an overlord of the A.I. future: the closer to collaborating with the machine you are, the more power you will have. Fears of a permanent underclass reflect the fact that there is not yet a coherent vision for how a future A.I.-dominated society will be structured. Sun said, of the Silicon Valley élites pushing accelerationism, “They’re not thinking through the economic implications; no one has a plan for redistribution or Universal Basic Income.” What will be left for the underlings, it seems, is a bleak world of A.I.-generated content and the semblance of companionship from chatbots. As Sun put it, “Are you going to be the piggy or be the one making the slop?”

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人工智能 AI 永久性底层 失业 自动化 未来工作 硅谷 Artificial Intelligence AI Permanent Underclass Unemployment Automation Future of Work Silicon Valley
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