Zuckerberg Ai Quotes

EXCERPT: In an interview Zuckerberg admitted he was frustrated by people who “fear-monger” about artificial intelligence. Stephen Hawking has raised concerns over AI, saying it has the potential to wipe out the human race. “Once machines reach a critical stage of being able to evolve themselves we cannot predict whether their goals will be the same as ours. AI has the potential to evolve faster than the human race.” Despite using AI in Tesla cars, Elon Musk also has similar fears, but their concerns fall on deaf ears with Zuckerberg.

It is common today to hear techno-futurists and billionaire trans-humanists muse about the potential of technology to help mankind—or least the extremely wealthy—slip the surly bonds of aging and even death by “uploading” memories to a digital cloud and using AI to recreate consciousness. Billionaire investor and entrepreneur Balaji Srinivasan, who sees “the vector of our civilization” in terms of a choice between “anarcho-primitivism or optimalism/transhumanism,” has talked about “life extension” technologies that could make possible what he calls “genomic reincarnation,” in which a person’s sequenced DNA could in theory be synthesized and printed out into a new body, “like a clone, but it is you in a different time.”23 And of course there are the billionaire enthusiasts like Elon Musk who see a future in which technology is fused with human biology in some kind of brain-machine interface, or Mark Zuckerberg, who dreams of replacing physical society with a virtual “Metaverse.

For his part, Mark Zuckerberg has described Musk’s worries as “hysterical,” and indeed, a few weeks after the Tesla baron made public his fears, the Facebook baron announced that he was building a helpful AI to run his house. It would recognize his friends and let them in. It would monitor the nursery. It would make toast. Unlike Musk, Zuckerberg perkily explained, he chose “hope over fear.

Two years later, Facebook was storming college campuses with its clean design and niche targeting of students. Wang adopted both when he created Xiaonei (“On Campus”). The network was exclusive to Chinese college students, and the user interface was an exact copy of Mark Zuckerberg’s site. Wang meticulously recreated the home page, profiles, tool bars, and color schemes of the Palo Alto startup. Chinese media reported that the earliest version of Xiaonei even went so far as to put Facebook’s own tagline, “A Mark Zuckerberg Production,” at the bottom of each page.

Zuckerberg launched into a discussion about the potential of artificial intelligence to spot violent-extremist content and disinformation. He actually got excited. It was clear that Zuckerberg thought AI was the critical tool in combating extremist messaging or any undesirable content. He said it was still years away, but he thought that artificial intelligence would eventually be able to flag about 80 percent of the dangerous content that’s out there, and humans would find the remaining 20 percent. This would be much more efficient than methods today, he said. He was confident that this was a solvable problem and added that we need to use computers for what computers are good at, and people for what people are good at. This seemed to be his mantra, and it wasn’t a bad one.

Some people—like the engineers and executives of high-tech corporations—are way ahead of politicians and voters and are better informed than most of us about the development of AI, cryptocurrencies, social credits, and the like. Unfortunately, most of them don’t use their knowledge to help regulate the explosive potential of the new technologies. Instead, they use it to make billions of dollars—or to accumulate petabits of information. There are exceptions, like Audrey Tang. She was a leading hacker and software engineer who in 2014 joined the Sunflower Student Movement, which protested against government policies in Taiwan. The Taiwanese cabinet was so impressed by her skills that Tang was eventually invited to join the government as its minister of digital affairs. In that position, she helped make the government’s work more transparent to citizens. She was also credited with using digital tools to help Taiwan successfully contain the COVID-19 outbreak. Yet Tang’s political commitment and career path are not the norm. For every computer-science graduate who wants to be the next Audrey Tang, there are probably many more who want to be the next Jobs, Zuckerberg, or Musk and build a multibillion-dollar corporation rather than become an elected public servant. This leads to a dangerous information asymmetry. The people who lead the information revolution know far more about the underlying technology than the people who are supposed to regulate it.