Cover image via U.Today

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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.

比利馬庫斯（Billy Markus）在社群媒體上被稱為 Shibetoshi Nakamoto，他對通用人工智慧（AGI）的未來表示擔憂。這位狗狗幣（DOGE）創始人此前曾分享他對人工智慧（AI）的看法，但這次，他的重點是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 是人工智慧的一個領域，旨在開發具有人類水平智慧的自學習系統。這些系統能夠執行並非專門設計的任務。

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:

近年來，人工智慧受到了廣泛關注，AGI 已成為一個值得注意的領域。馬庫斯在他的 Twitter 帳戶上提出了以下問題：

"Are you more optimistic, more concerned, or more doubtful of AGI in the next 10 years?" - Shibetoshi Nakamoto (@BillyM2k) July 1, 2024

“你對未來10年的AGI是更樂觀、更擔憂還是更懷疑？” - 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.

馬庫斯向他的追隨者尋求回饋，了解他們對 AGI 的看法及其在未來十年的潛在影響。人們擔心通用人工智慧可能取代各行業的工人。

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.

馬庫斯先前曾表達過對人工智慧未來的擔憂。五月份，他強調了人工智慧可能對網路搜尋等行業帶來的潛在破壞，導致依賴搜尋引擎的公司的網站流量減少和收入下降。

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.

他還對使用來自不同個人而不是僅來自特定領域專家的數據來訓練人工智慧系統提出了道德擔憂。馬庫斯的擔憂強調了人工智慧及其子領域（包括通用人工智慧）的進步所帶來的潛在挑戰和影響。