Cover image via U.Today
封面图片来自 U.Today
Billy Markus, known on social media as Shibetoshi Nakamoto, has raised concerns about the future of artificial general intelligence (AGI). The Dogecoin (DOGE) founder has previously shared his views on artificial intelligence (AI), but this time, his focus is on AGI.
比利·马库斯(Billy Markus)在社交媒体上被称为 Shibetoshi Nakamoto,他对通用人工智能(AGI)的未来表示担忧。这位狗狗币(DOGE)创始人此前曾分享过他对人工智能(AI)的看法,但这一次,他的重点是AGI。
AGI is a field of AI that seeks to develop self-learning systems with human-level intelligence. These systems are capable of performing tasks they were not specifically designed for.
AGI 是人工智能的一个领域,旨在开发具有人类水平智能的自学习系统。这些系统能够执行并非专门设计的任务。
Artificial intelligence has gained significant attention in recent years, with AGI emerging as a notable area of interest. Markus posed the following question on his Twitter account:
近年来,人工智能受到了广泛关注,AGI 成为一个值得注意的领域。马库斯在他的 Twitter 帐户上提出了以下问题:
"Are you more optimistic, more concerned, or more doubtful of AGI in the next 10 years?" - Shibetoshi Nakamoto (@BillyM2k) July 1, 2024
“你对未来10年的AGI是更乐观、更担忧还是更怀疑?” - Shibetoshi Nakamoto (@BillyM2k) 2024 年 7 月 1 日
Markus sought feedback from his followers regarding their perspectives on AGI and its potential impact over the next decade. Concerns have been raised about AGI's potential to displace workers in various industries.
马库斯向他的追随者寻求反馈,了解他们对 AGI 的看法及其在未来十年的潜在影响。人们担心通用人工智能可能会取代各行业的工人。
Markus has previously expressed apprehensions about the future of AI. In May, he highlighted the potential disruption AI could bring to industries like web search, leading to reduced website traffic and decline in revenue for companies reliant on search engines.
马库斯此前曾表达过对人工智能未来的担忧。五月份,他强调了人工智能可能给网络搜索等行业带来的潜在破坏,导致依赖搜索引擎的公司的网站流量减少和收入下降。
He has also raised ethical concerns regarding the training of AI systems using data from diverse individuals rather than solely from experts in specific fields. Markus's concerns underscore the potential challenges and implications associated with the advancement of AI and its subfields, including AGI.
他还对使用来自不同个人而不是仅来自特定领域专家的数据来训练人工智能系统提出了道德担忧。马库斯的担忧强调了人工智能及其子领域(包括通用人工智能)的进步所带来的潜在挑战和影响。