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AI Apocalypse? Why language surrounding tech is sounding increasingly religious

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This late 1980s photo provided by the Canadian Institute for Advanced Research shows computer scientist Geoffrey Hinton in Toronto. (CIFAR via AP)

TORONTO – At 77 years old, Geoffrey Hinton has a new calling in life. Like a modern-day prophet, the Nobel Prize winner is raising alarms about the dangers of uncontrolled and unregulated artificial intelligence.

Frequently dubbed the “Godfather of AI,” Hinton is known for his pioneering work on deep learning and neural networks which helped lay the foundation for the AI technology often used today. Feeling “somewhat responsible,” he began speaking publicly about his concerns in 2023 after he left his job at Google, where he worked for more than a decade.

As the technology – and investment dollars – powering AI have advanced in recent years, so too have the stakes behind it.

“It really is godlike,” Hinton said.

Hinton is among a growing number of prominent tech figures who speak of AI using language once reserved for the divine. OpenAI CEO Sam Altman has referred to his company’s technology as a “magic intelligence in the sky,” while Peter Thiel, the co-founder of PayPal and Palantir, has even argued that AI could help bring about the Antichrist.

FILE – Computer scientist Geoffrey Hinton, who studies neural networks used in artificial intelligence applications, stands for a portrait at Google’s Mountain View, Calif, headquarters on March 25, 2015. (AP Photo/Noah Berger, File)

Noah Berger

Will AI bring condemnation or salvation?

There are plenty of skeptics who doubt the technology merits this kind of fear, including Dylan Baker, a former Google employee and lead research engineer at the Distributed AI Research Institute, which studies the harmful impacts of AI.

“I think oftentimes they’re operating from magical fantastical thinking informed by a lot of sci-fi that presumably they got in their formative years,” Baker said. “They’re really detached from reality.”

Although chatbots like ChatGPT only recently penetrated the zeitgeist, certain Silicon Valley circles have prophesied of AI’s power for decades.

“We’re trying to wake people up,” Hinton said. “To get the public to understand the risks so that the public pressures politicians to do something about it.”

While researchers like Hinton are warning about the existential threat they believe AI poses to humanity, there are CEOs and theorists on the other side of the spectrum who argue we are approaching a kind of technological apocalypse that will usher in a new age of human evolution.

In an essay published last year titled “Machines of Loving Grace: How AI Could Transform the World for the Better,” Anthropic CEO Dario Amodei lays out his vision for a future “if everything goes right with AI.”

The AI entrepreneur predicts “the defeat of most diseases, the growth in biological and cognitive freedom, the lifting of billions of people out of poverty to share in the new technologies, a renaissance of liberal democracy and human rights.”

FILE – Dario Amodei, CEO & Co-Founder of Anthropic, speaks at the convening of the International Network of AI Safety Institutes at the Golden Gate Club at the Presidio in San Francisco, Nov. 20, 2024. (AP Photo/Jeff Chiu, File)

Jeff Chiu

While Amodei opts for the phrase “powerful AI,” others use terms like “the singularity” or “artificial general intelligence (AGI).” Though proponents of these concepts don’t often agree on how to define them, they refer broadly to a hypothetical future point at which AI will surpass human-level intelligence, potentially triggering rapid, irreversible changes to society.

Computer scientist and author Ray Kurzweil has been predicting since the 1990s that humans will one day merge with technology, a concept often called transhumanism.

“We’re not going to actually tell what comes from our own brain versus what comes from AI. It’s all going to be embedded within ourselves. And it’s going to make ourselves more intelligent,” Kurzweil said.

In his latest book, “The Singularity Is Nearer: When We Merge with AI,” Kurzweil doubles down on his earlier predictions. He believes that by 2045 we will have “multiplied our own intelligence a millionfold.”

“Yes,” he eventually conceded when asked if he considers AI to be his religion. It informs his sense of purpose.

“My thoughts about the future and the future of technology and how quickly it’s coming definitely affects my attitudes towards being here and what I’m doing and how I can influence other people,” he said.

Visions of the apocalypse bubble up

Despite Thiel’s explicit invocation of language from the Book of Revelation, the positive visions of an AI future are more “apocalyptic” in the historical sense of the word.

“In the ancient world, apocalyptic is not negative,” explains Domenico Agostini, a professor at the University of Naples L’Orientale who studies ancient apocalyptic literature. “We’ve completely changed the semantics of this word.”

The term “apocalypse” comes from the Greek word “apokalypsis,” meaning “revelation.” Although often associated today with the end of the world, apocalypses in ancient Jewish and Christian thought were a source of encouragement in times of hardship or persecution.

“God is promising a new world,” said Professor Robert Geraci, who studies religion and technology at Knox College. “In order to occupy that new world, you have to have a glorious new body that triumphs over the evil we all experience.”

Geraci first noticed apocalyptic language being used to describe AI’s potential in the early 2000s. Kurzweil and other theorists eventually inspired him to write his 2010 book, “Apocalyptic AI: Visions of Heaven in Robotics, Artificial Intelligence, and Virtual Reality.”

The language reminded him of early Christianity. “Only we’re gonna slide out God and slide in … your pick of cosmic science laws that supposedly do this and then we were going to have the same kind of glorious future to come,” he said.

Geraci argues this kind of language hasn’t changed much since he began studying it. What surprises him is how pervasive it has become.

“What was once very weird is kind of everywhere,” he said.

This photo provided by Ray Kurzweil shows him in Boston in August 2024. (Courtesy Ray Kurzweil via AP)

Has Silicon Valley finally found is God?

One factor in the growing cult of AI is profitability.

“Twenty years ago, that fantasy, true or not, wasn’t really generating a lot of money,” Geraci said. Now, though, “there’s a financial incentive to Sam Altman saying AGI is right around the corner.”

But Geraci, who argues ChatGPT “isn’t even remotely, vaguely, plausibly conscious,” believes there may be more driving this phenomenon.

Historically, the tech world has been notoriously devoid of religion. Its secular reputation had so preceded it that one episode of the satirical HBO comedy series, “Silicon Valley,” revolves around “outing” a co-worker as Christian.

Rather than viewing the skeptical tech world’s veneration of AI as ironic, Geraci believes they’re causally linked.

“We human beings are deeply, profoundly, inherently religious,” he said, adding that the impressive technologies behind AI might appeal to people in Silicon Valley who have already pushed aside “ordinary approaches to transcendence and meaning.”

No religion is without skeptics

Not every Silicon Valley CEO has been converted – even if they want in on the tech.

“When people in the tech industry talk about building this one true AI, it’s almost as if they think they’re creating God or something,” Meta CEO Mark Zuckerberg said on a podcast last year as he promoted his company’s own venture into AI.

Although transhumanist theories like Kurzweil’s have become more widespread, they are still not ubiquitous within Silicon Valley.

“The scientific case for that is in no way stronger than the case for a religious afterlife,” argues Max Tegmark, a physicist and machine learning researcher at the Massachusetts Institute of Technology.

Like Hinton, Tegmark has been outspoken about the potential risks of unregulated AI. In 2023, as president of the Future of Life Institute, Tegmark helped spearhead an open letter calling for powerful AI labs to “immediately pause” the training of their systems.

The letter collected more than 33,000 signatures, including from Elon Musk and Apple co-founder Steve Wozniak. Tegmark considers the letter to have been successful because it helped “mainstream the conversation” about AI safety, but believes his work is far from over.

With regulations and safeguards, Tegmark thinks AI can be used as a tool to do things like cure diseases and increase human productivity. But it is imperative, he argues, to stay away from the “quite fringe” race that some companies are running – “the pseudoreligious pursuit to try to build an alternative God.”

“There are a lot of stories, both in religious texts and in, for example, ancient Greek mythology, about how when we humans start playing gods, it ends badly,” he said. “And I feel there’s a lot of hubris in San Francisco right now.”

Associated Press religion coverage receives support through the AP’s collaboration with The Conversation U.S., with funding from Lilly Endowment Inc. The AP is solely responsible for this content.





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Microsoft Launches In-House AI Models to Reduce OpenAI Dependence

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Microsoft’s Strategic Pivot in AI Development

Microsoft Corp. has unveiled its first in-house artificial intelligence models, marking a significant shift in its approach to AI technology. The company announced MAI-Voice-1, a specialized model for speech generation, and a preview version of MAI-1, a foundational model aimed at broader applications. This move comes amid growing tensions in Microsoft’s partnership with OpenAI, where the tech giant has invested billions but now seeks greater independence.

According to details reported in a recent article by Mashable, these models are designed to enhance Microsoft’s Copilot AI assistant, integrating into products like Bing and Windows. The launch raises questions about the future of Microsoft’s collaboration with OpenAI, as the company aims to reduce its reliance on external AI providers.

Implications for the OpenAI Partnership

Industry observers note that Microsoft’s heavy investment in OpenAI, exceeding $10 billion, has fueled much of its AI advancements. However, disputes over intellectual property and revenue sharing have prompted this internal development push. The MAI-1 model, in particular, is being positioned as a direct competitor to OpenAI’s offerings, potentially challenging the startup’s dominance in generative AI.

As highlighted in reports from Reuters, Microsoft began training MAI-1 as early as last year, with parameters estimated at around 500 billion, making it a heavyweight contender against models like GPT-4. This internal effort is led by former executives from AI startup Inflection, bringing expertise to bolster Microsoft’s capabilities.

Technical Innovations and Efficiency Gains

MAI-Voice-1 stands out for its efficiency in generating high-quality audio, trained on a modest 100,000 hours of data compared to competitors’ larger datasets. This approach not only cuts costs but also accelerates deployment, allowing Microsoft to offer faster, more affordable AI features to consumers and businesses.

The preview of MAI-1 focuses on text-based tasks, with plans for multimodal expansions including image and video processing. Insights from Technology Magazine suggest these models could provide advanced problem-solving abilities, integrating seamlessly into Microsoft’s ecosystem and potentially lowering operational expenses.

Market Competition and Future Outlook

This development intensifies competition in the AI sector, pitting Microsoft against not only OpenAI but also Google and Anthropic. By building in-house models, Microsoft aims to control its AI destiny, mitigating risks associated with third-party dependencies. Analysts predict this could lead to more innovative features in Copilot, enhancing user experiences across Microsoft’s software suite.

However, the partnership with OpenAI isn’t dissolving entirely; Microsoft continues to leverage OpenAI’s technology while developing its own. A report in CNBC indicates that internal testing of MAI-1 is already underway, with public previews signaling rapid progress toward widespread adoption.

Broader Industry Ramifications

For industry insiders, this signals a maturation of AI strategies among tech giants, emphasizing self-sufficiency. Microsoft’s move could inspire similar initiatives elsewhere, fostering a more diverse array of AI tools. Yet, challenges remain, including ethical considerations and regulatory scrutiny over AI’s societal impact.

Ultimately, as Microsoft refines these models, the tech world watches closely. The balance between collaboration and competition will define the next phase of AI innovation, with Microsoft’s in-house efforts potentially reshaping market dynamics for years to come.



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Point: AI Won’t Take Our Jobs Away

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For an alternate viewpoint, see “Counterpoint: Trump’s Extreme Anti-Labor Policies Could Determine the Effect of AI on Workers.”

Read enough headlines about artificial intelligence and you can be excused for thinking that we’re headed for a dystopian future ruled by AI-powered robot overlords. Mass unemployment, including people being forced to train their robot replacements to get that last paycheck, seems to be a common theme in the latest dire forecasts.

Don’t panic. It is helpful to look to history because we’ve gone through these technology-will-destroy-jobs cycles before, and we can see familiar patterns.

Historically, new technologies have transformed the economy in disruptive but positive ways. While some jobs do go away, they tend to be the ones involving manual labor and drudgery. What’s more, new technology creates new opportunities, even whole new industries.

AI is a catch-all term. It generally refers to computer programs like ChatGPT that can seemingly think and create. These programs are complex tools that try to synthesize data from existing sources. AI doesn’t actually think; it imitates what is within its database, with current versions doing it at a higher level than was possible previously. AI can be a valuable tool to automate tedious, repetitive tasks.

Advances have led to fear that AI will do to more intellectual professions what earlier automation did to factory production: eliminate jobs. News outlets will employ AI programs instead of reporters. Films will have AI-generated actors, scripts and so on. Limiting the future use of AI was a significant issue in recent Hollywood strikes by the Writers Guild of America and SAG-AFTRA, the actors’ union.

Manufacturing is a good case study in how new technology transforms work. About 18 million people worked in manufacturing jobs in the United States in January 1980, according to the Labor Department. Since then, factories became heavily automated, and today the number of manufacturing jobs is 12.7 million. Despite this transition, the unemployment rate is 4.2 percent, two full points below the January 1980 rate of 6.5 percent, and the U.S. economy produces more than ever. 

Over time, factory workers went from doing things like spray painting assembly line cars to supervising the machines that did the painting, which was safer and more productive; or they found jobs elsewhere that were made possible by automation. Meanwhile, cars became cheaper to buy. 

The transition was hard for some people, but we came through it with more jobs overall.

That scenario likely holds for 21st-century AI. A World Economic Forum study found that AI and related technology will create 11 million jobs while displacing 9 million, for a net gain of 2 million. It will also open up new opportunities. Small-business owners who create those awkward homemade ads you see on TV will have new tools to develop fancier, more professional-looking awkward ads.

Another historical point to remember is that new technology rarely lives up to its early hype. AI is in a gold-rush stage, with corporations racing to invest in it based on extravagant promises about AI’s potential capabilities. New waves of technology often come with promises that they will be able to perform miracles, promises that should be viewed skeptically.

In the aughts, for example, we were told that embryonic stem cells would soon allow paraplegics to walk again. Some touted 3-D printing as readily giving everyone the replicator technology from “Star Trek,” rather than more Minecraft fridge ornaments. And so on. 

Even transformative technology, like the internet, changes things in unexpected ways. Remember when the internet was supposed to make it easier to preserve and access reliable information, rather than drowning us in a sea of trivial and often unreliable data?

Since AI can only imitate rather than think, companies that rely exclusively on it instead of actual human minds do so at their own peril. The derisive term “slop” has already come to be associated with AI-generated art thanks to its habit of getting details like human anatomy wildly wrong. AI writing programs have also shown the curious habit of “hallucinating” research that does not exist. The FDA, for example, used an AI program to speed up drug approvals, but it sometimes relied on studies that didn’t exist. This failure forced the FDA to assign more staffers to vet the AI-produced studies and weed out the ones based on false data.

Yes, AI technology will continue to improve, but the sci-fi future of thinking machines is still a long way off. Until then, AI is just another tool, and tools will always need human minds and hands to operate them.



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Marvell Technology Stock Plunges 18.6% as Weak Outlook Overshadows AI Gains

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Marvell Technology (MRVL) shares crashed 18.60% on Friday after the company issued a weaker-than-expected forecast for the third quarter. The sharp decline came despite second-quarter results showing strong growth in revenue, steady profits, and earnings in line with expectations. However, investors focused on the outlook rather than the recent gains, which led to a selloff in the stock.

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On Thursday evening, Marvell Technology reported adjusted earnings of $0.67 per share, matching The Street’s estimates. Revenue reached $2.006 billion, slightly below the $2.01 billion consensus. Even with this small gap, total revenue rose 58% from the same quarter last year. The company’s data center unit led the surge, with sales up 69% to $1.49 billion, and it now accounts for nearly three-quarters of Marvell Technology’s overall business.

Weak Forecast Weighs on Analysts’ View

However, the company’s guidance for the third quarter shifted the market’s focus. Marvell Technology projected revenue of $2.06 billion, give or take 5%. That figure came in below the Street’s $2.11 billion target. Executives said data center sales will stay flat in the coming quarter before improving toward year’s end. In the meantime, analysts noted that investors have grown used to upbeat reports from companies tied to artificial intelligence, so the lower outlook stood out.

During the earnings call, Chief Executive Matt Murphy said demand for custom silicon and electro-optics products remains strong, with more than 50 new AI design projects underway. Yet he acknowledged that timing around new deployments will affect near-term results.

After the release, several banks adjusted their stance. Bank of America’s five-star analyst Vivek Arya cut his rating on Marvell Technology to Neutral from Buy and reduced its price target to $78 from $90. UBS’s top analyst Quinn Bolton reduced his target to $80 from $85, retaining a Buy rating. Morgan Stanley five-star analyst Joseph Moore also dropped his target to $76 from $80 and a Hold position. Many of these cuts reflected caution around the pace of major cloud projects, including Microsoft’s (MSFT) Maia accelerator and Amazon’s (AMZN) next-generation chips.

Stock Levels and Market View

Marvell Technology shares have now fallen more than 40% in 2025 and trade about 50% below their January high of $126.06. Despite the weak forecast, the company posted $461.6 million in operating cash flow and kept gross margins at 59.4%. Investors will look to the fourth quarter and beyond for signs that key AI partnerships with Amazon and Microsoft can deliver stronger growth.

Is Marvell Stock a Buy?

Despite the stock’s crash on Friday, Marvell Technology continues to boast a Strong Buy consensus among analysts. The average MRVL stock price target stands at $88.52, implying a 40.81% upside from the current price.

See more MRVL analyst ratings

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