Silicon Valley is known for its eccentric trends, but the latest developments surrounding Artificial Intelligence border on both the bizarre and the dystopian. Recent statements from top executives at the data analytics firm Palantir reveal a dual-layered reality within the tech industry: a dangerous overconfidence in AI’s future capabilities and a chilling warning about the imminent overreach of predictive algorithms.

The Cigarette Status Symbol & “Mass Psychosis”

According to Palantir CTO Shyam Sankar, a troubling and unconventional new status symbol has emerged among Silicon Valley’s top AI researchers: cigarettes. In an interview with CBS News, Sankar claimed that researchers are taking up smoking as a signal to their peers to demonstrate their absolute commitment to the technology they are building.

The logic behind this trend relies on a massive gamble. These researchers want to show they are entirely convinced that machines will one day become smarter than humans and will cure cancer. In their view, the long-term health risks of smoking will be solved by the very artificial intelligence they are currently developing. Sankar fiercely criticized this mindset, terming the trend a “mass psychosis and a social delusion”.

Despite the absurdity, nicotine products are reportedly making a strong comeback in tech offices. The CEO of one AI wearable startup was even quoted joking that by the time someone develops lung cancer, AI robots will be capable of curing it.

Predictive AI and the Future of Human Thought

While some in the Valley display extreme overconfidence, a far more serious warning has been issued regarding the current trajectory of predictive algorithms.

Currently, predictive AI systems are primarily deployed for commercial forecasting. By studying past human behavior, these algorithms calculate whether a consumer will make a specific purchase or successfully repay a loan. However, Palantir’s leadership warns that these very same methods could soon go much further, evolving to anticipate human thoughts before a person actually acts upon them.

The prospect of machines predicting thoughts raises massive ethical and privacy red flags. There is a grave concern that these invasive tools could eventually be deployed against domestic populations, prompting urgent calls for strict oversight and control. There is also a distinct risk that corporations will exploit these systems by strictly following the letter of the law while completely undermining its ethical spirit.

As global concerns regarding artificial intelligence continue to mount, the tech sector appears caught between two extremes: a demographic of researchers losing their grip on reality, and the impending deployment of algorithms that might soon know what you are thinking before you do.