RT Gary Marcus
No, Mark Zuckerberg, you cannot get to AGI through data labeling alone.
Turning a once-top notch AI research division at $META into a data-labeling sweatshop has to be one of dumbest blunders in corporate history.
The author strongly criticizes Meta's AI strategy, arguing that transforming its top-tier AI research division into a data-labeling operation is a massive corporate blunder that will fail to achieve AGI.
The post heavily criticizes Meta's strategic pivot in its AI division, calling it a historic corporate blunder. This bearish sentiment aligns with recent market data showing a 5.44% drop in META's stock price and recent news regarding the exit of a key internal AI executive, reflecting broader market concerns about the company's AI leadership and direction.
行情 $567.58 ▼5.4364%
新闻 These 4 Core Artificial Intelligence (AI) Hyperscalers Are Screaming Buys Today · Meta (META) Faces AI Support Breach As Key Internal AI Executive Exits
事件 Earnings (EPS est 7.3216) · 2026-07-28
关键要点
Data labeling alone is insufficient to achieve Artificial General Intelligence (AGI).
Meta's decision to pivot its AI research division toward data labeling is viewed as one of the worst corporate mistakes in history.
