logo
OpenAI's Top Scientist Wanted to "Build a Bunker Before We Release AGI"

OpenAI's Top Scientist Wanted to "Build a Bunker Before We Release AGI"

Yahoo22-05-2025

OpenAI's former chief scientist, Ilya Sutskever, has long been preparing for artificial general intelligence (AGI), an ill-defined industry term for the point at which human intellect is outpaced by algorithms — and he's got some wild plans for when that day may come.
In interviews with The Atlantic's Karen Hao, who is writing a book about the unsuccessful November 2023 ouster of CEO Sam Altman, people close to Sutskever said that he seemed mighty preoccupied with AGI.
According to a researcher who heard the since-resigned company cofounder wax prolific about it during a summer 2023 meeting, an apocalyptic scenario seemed to be a foregone conclusion to Sutskever.
"Once we all get into the bunker..." the chief scientist began.
"I'm sorry," the researcher interrupted, "the bunker?"
"We're definitely going to build a bunker before we release AGI," Sutskever said, matter-of-factly. "Of course, it's going to be optional whether you want to get into the bunker."
The exchange highlights just how confident OpenAI's leadership was, and remains, in the technology that it believes it's building — even though others argue that we are nowhere near AGI and may never get there.
As theatrical as that exchange sounds, two other people present for the exchange confirmed that OpenAI's resident AGI soothsayer — who, notably, claimed months before ChatGPT's 2022 release that he believes some AI models are "slightly conscious" — did indeed mention a bunker.
"There is a group of people — Ilya being one of them — who believe that building AGI will bring about a rapture," the first researcher told Hao. "Literally, a rapture."
As others who spoke to the author for her forthcoming book "Empire of AI" noted, Sutskever's AGI obsession had taken on a novel tenor by summer 2023. Aside from his interest in building AGI, he had also become concerned about the way OpenAI was handling the technology it was gestating.
That concern ultimately led the mad scientist, alongside several other members of the company's board, to oust CEO Sam Altman a few months later, and ultimately to his own departure.
Though Sutskever led the coup, his resolve, according to sources that The Atlantic spoke to, began to crack once he realized OpenAI's rank-and-file were falling in line behind Altman. He eventually rescinded his opinion that the CEO was not fit to lead in what seems to have been an effort to save his skin — an effort that, in the end, turned out to be fruitless.
Interestingly, Hao also learned that people inside OpenAI had a nickname for the failed coup d'etat: "The Blip."
More on AGI: Sam Altman Says OpenAI Has Figured Out How to Build AGI

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Will $50,000 Invested in Nvidia Stock Be Worth $1 Million in 10 Years?
Will $50,000 Invested in Nvidia Stock Be Worth $1 Million in 10 Years?

Yahoo

time40 minutes ago

  • Yahoo

Will $50,000 Invested in Nvidia Stock Be Worth $1 Million in 10 Years?

Nvidia shares are up 850% since ChatGPT sparked the artificial intelligence (AI) boom, but most Wall Street analysts still recommend buying the stock. The company is the market leader in AI accelerator chips, but its true strength lies in vertical integration that spans hardware and software products. Seven stocks in the S&P 500 generated such colossal returns in the last decade that they would have turned $50,000 into $1 million. 10 stocks we like better than Nvidia › Nvidia (NASDAQ: NVDA) has been a cornerstone of the artificial intelligence (AI) trade for several years. Its share price has increased 850% since January 2023, a period that roughly coincides with the launch of ChatGPT. But Wall Street is still overwhelmingly bullish on the semiconductor company. Angelo Zino at CFRA Research thinks Nvidia "will be the most important company to our civilization over the next decade." More broadly, among 73 analysts following Nvidia, the median 12-month target price is $175 per share. That implies 25% upside from its current share price of $140. Could Nvidia stock turn $50,000 into $1 million over the next decade? Here are my thoughts. What sets Nvidia apart is vertical integration. The company has over 90% market share in data center graphics processing units (GPUs), chips that accelerate complex workloads such as artificial intelligence (AI). But the company supplements its GPUs with adjacent hardware like CPUs, interconnects, and networking equipment. Nvidia also develops software products. AI Enterprise is a suite of tools, code libraries, and pretrained models that streamline the development of AI applications for use cases like autonomous robots, conversational agents, and optimization systems. CrowdStrike uses those tools to power threat detection capabilities on its cybersecurity platform. Similarly, Omniverse is a software platform that supports 3D application development. It also serves as a simulation engine that lets engineers generate synthetic data for developing machine learning models. Amazon uses the Omniverse platform to optimize warehouse design and train fulfillment center robots. Nvidia frequently sets performance records at the MLPerf benchmarks, objective tests that evaluate AI systems on training and inference workloads. That is an important competitive advantage: Nvidia builds the best AI accelerators on the market. But vertical integration reinforces that advantage by letting the company design entire data center systems with the "lowest total cost of ownership," according to CEO Jensen Huang. Grand View Research says spending on AI hardware, software, and services will increase at 35.9% annually through 2030. Nvidia has a good shot at matching that growth rate. Indeed, Wall Street expects earnings to grow at 40% annually through the fiscal year ending January 2027. That makes the current valuation of 44 times earnings seem fair. Nvidia shares would need to increase 1,900% (20-fold) in the next decade to turn $50,000 into $1 million. Returns of that magnitude are theoretically possible in that time frame. In fact, seven stocks currently in S&P 500 (SNPINDEX: ^GSPC) hit that mark in the last decade, as listed: Nvidia: +25,700% Advanced Micro Devices: +4,980% Axon Enterprise: +2,380% Texas Pacific Land: 2,110% Arista Networks: 1,950% Tesla: 1,920% Fair Isaac: 1,900% However, while 20-fold returns are theoretically possible, Nvidia has virtually no chance of hitting that mark in the next decade. The company is already worth $3.4 trillion, meaning its market value would hit $68 trillion if the stock increased 20 times. That seems highly unlikely when the entire S&P 500 is only worth $48 trillion today. Nevertheless, Nvidia is still a worthwhile investment. AI will likely be the most transformative technology in history, and the company is well positioned to benefit as demand for AI infrastructure increases. Potential catalysts include generative AI, autonomous vehicles, and humanoid robots. Also, Nvidia has a burgeoning software business that may evolve into a significant source of revenue as those catalysts take shape. Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Nvidia wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $674,395!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $858,011!* Now, it's worth noting Stock Advisor's total average return is 997% — a market-crushing outperformance compared to 172% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 2, 2025 John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors. Trevor Jennewine has positions in Amazon, Arista Networks, Axon Enterprise, CrowdStrike, Nvidia, and Tesla. The Motley Fool has positions in and recommends Advanced Micro Devices, Amazon, Arista Networks, Axon Enterprise, CrowdStrike, Nvidia, and Tesla. The Motley Fool recommends Fair Isaac. The Motley Fool has a disclosure policy. Will $50,000 Invested in Nvidia Stock Be Worth $1 Million in 10 Years? was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

How A Top Company Used Generative AI To Reinvent Culture And Innovation
How A Top Company Used Generative AI To Reinvent Culture And Innovation

Forbes

timean hour ago

  • Forbes

How A Top Company Used Generative AI To Reinvent Culture And Innovation

In March 2023, Coca-Cola launched its 'Create Real Magic' month-long campaign to reimagine the role of generative AI at work. The company partnered with OpenAI and Bain & Company and asked digital artists from around the world to use AI to remix iconic Coca-Cola visuals. Thousands of submissions poured in, each one reflecting a personal take on the brand's timeless identity. Coca-Cola showcased many of the AI-generated creations on large digital billboards in Times Square and Piccadilly Circus. It was a creative invitation that allowed the public to participate in storytelling, putting the brand's legacy assets, like the contour bottle, into the hands of everyday creators. The campaign officially ran through the end of March 2023, but it opened a much broader conversation about how generative AI can influence not only marketing but also corporate culture, innovation, and leadership strategies. The experiment was a success. Coca-Cola proved that inviting public collaboration can generate global engagement. People around the world helped shape the brand. That level of inclusion helped deepen emotional investment and positioned the company as forward-thinking without letting go of what made the brand special. Coca-Cola also learned that using AI can speed up content production significantly. What would traditionally take weeks to produce could now be created in days or even hours. That gave marketing teams more flexibility and made it easier to test creative ideas in real time. Still, speed doesn't automatically equal success. The company released a holiday commercial in late 2024 that was entirely AI-generated. Many viewers found it lacked the heart and warmth Coca-Cola ads are known for. Some called it 'dystopian,' and others said it felt off. AI can often feel that way, but Coca-Cola defended the effort as an experiment in blending human and AI creativity. The response highlighted something important: consumers may enjoy AI-driven content, but they still expect brands to feel human. Coca-Cola's experience points to a deeper layer of strategic reflection that many companies overlook. Leaders planning their own generative AI initiatives should embrace curiosity and consider these questions: What internal capabilities do we need to build first? Before the campaign ever launched, Coca-Cola had already begun training internal teams, building literacy in generative AI tools, and partnering with experts. Integrating AI has to be part of the culture. What creative processes should still belong to humans? Coca-Cola chose specific assets to be AI-enhanced but didn't overhaul everything. They were careful about when and where generative AI could contribute. That's a critical balance. Not every part of your business should be automated, and not all content should be generated. Are we prepared for legal and ethical questions? This is often one of the trickiest aspects of working with AI, especially when it comes to intellectual property, data use, and contributor rights. Coca-Cola retained ownership of the generated content and made it clear that submissions were for non-commercial personal use only. That clarity matters. It sets expectations and protects the brand. Does this align with how people emotionally experience our brand? This is where perception plays a powerful role. If a campaign creates scale but feels hollow, it can damage long-term trust. The goal of using generative AI should be to enhance connection and maintain authenticity. The campaign had a noticeable effect internally. Coca-Cola used the campaign to create new momentum around digital transformation. It sparked excitement across departments and gave HR a chance to work on upskilling. Teams were encouraged to experiment with AI, apply it to their own roles, and explore what it meant for the future of work. HR played a central role in coordinating training, managing the ethical rollout of new tools, and supporting change management across departments. It also influenced Coca-Cola's employer branding. Showcasing this kind of innovation made the company more attractive to creative and tech-savvy talent. Candidates began to see Coca-Cola not only as a legacy brand but as a place where modern ideas could thrive. There are real, practical steps HR teams can take to get ahead of these opportunities. Coca-Cola didn't wait until the campaign was public to get HR involved. Other companies can do the same by focusing on five key areas. Start by building a culture of curiosity. Encourage teams to explore, ask questions, and experiment with AI in safe ways. One effective method is to assign team members to try out different AI tools, then present findings in casual peer-sharing sessions. It lowers the barrier to entry and raises comfort levels. Partner with legal to set clear internal guidelines. People need to know where generative AI can be used, what data is off limits, and how to maintain transparency. HR is in the best position to co-author these boundaries and help teams apply them. Offer fluency training that focuses on how AI works and where it fits into daily roles. Employees do not need to be coders to use AI effectively, but they do need to understand its capabilities and how to ask better questions when working with it. HR can embed this training into leadership development programs or onboarding. Update talent strategy and recruiting language. If a company is using generative AI in public campaigns or product innovation, that should be part of the employee value proposition. It signals a forward-thinking culture and draws people who want to work in that kind of environment. Address the emotional impact of change. Some employees will feel excitement while others may feel uncertainty. HR can play a critical role in creating space for open conversations about what this technology means for people's roles, expectations, and future development. Generative AI changes how creativity happens, how teams collaborate, and how leaders define success. Coca-Cola showed what's possible when organizations make space for experimentation, invite collaboration, and use technology to support meaningful contribution. People remain curious about what AI can do, but they still want content that feels emotionally real and culturally relevant. AI does not replace storytelling. It redefines how stories are built, shared, and scaled. Companies that want to follow this path do not need a global campaign. They need a clear commitment to curiosity, a foundation of trust, and an HR strategy that uses AI to support meaningful work and long-term growth.

Trump's Amplifier Administration
Trump's Amplifier Administration

Atlantic

timean hour ago

  • Atlantic

Trump's Amplifier Administration

In Donald Trump's first administration, he was surrounded by buffers and filters—but in his second, he's surrounded by amplifiers. On a special edition of Washington Week With The Atlantic, the foreign-affairs columnist Thomas Friedman joins to discuss the chaos of Trump's conflicts, and how world leaders are viewing the instability. Meanwhile, the end of Donald Trump's friendship with Elon Musk was never really a question of 'if,' but 'when.' 'Nothing here is modeled, nothing here is stress-tested, everything is a rift,' Friedman said last night. 'The country is being run like the Trump organization today, not like the United States of America.' When it comes to Trump and Musk's feud, 'we're dealing with two extremely unstable characters,' Friedman continues. 'But what's really more important is: What's the wider world audience saying?' Watch the full episode with Friedman and The Atlantic 's editor in chief, Jeffrey Goldberg, here.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store