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AI is advancing even faster than sci-fi visionaries like Neal Stephenson imagined

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Every time I read about another advance in AI technology, I feel like another figment of science fiction moves closer to reality.

Lately, I’ve been noticing eerie parallels to Neal Stephenson’s 1995 novel “The Diamond Age: Or, A Young Lady’s Illustrated Primer.”

“The Diamond Age” depicted a post-cyberpunk sectarian future, in which society is fragmented into tribes, called phyles. In this future world, sophisticated nanotechnology is ubiquitous, and a new type of AI is introduced.

Though inspired by MIT nanotech pioneer Eric Drexler and Nobel Prize winner Richard Feynman, the advanced nanotechnology depicted in the novel still remains out of reach. However, the AI that’s portrayed, particularly a teaching device called the Young Lady’s Illustrated Primer, isn’t only right in front of us; it also raises serious issues about the role of AI in labor, learning and human behavior.

In Stephenson’s novel, the Primer looks like a hardcover book, but each of its “pages” is really a screen display that can show animations and text, and it responds to its user in real time via AI. The book also has an audio component, which voices the characters and narrates stories being told by the device.

It was originally created for the young daughter of an aristocrat, but it accidentally falls into the hands of a girl named Nell who’s living on the streets of a futuristic Shanghai. The Primer provides Nell personalized emotional, social and intellectual support during her journey to adulthood, serving alternatively as an AI companion, a storyteller, a teacher and a surrogate parent.

The AI is able to weave fairy tales that help a younger Nell cope with past traumas, such as her abusive home and life on the streets. It educates her on everything from math to cryptography to martial arts. In a techno-futuristic homage to George Bernard Shaw’s 1913 play “Pygmalion,” the Primer goes so far as to teach Nell the proper social etiquette to be able to blend into neo-Victorian society, one of the prominent tribes in Stephenson’s balkanized world.

No need for ‘ractors’

Three recent developments in AI – in video games, wearable technology and education – reveal that building something like the Primer should no longer be considered the purview of science fiction.

In May 2025, the hit video game “Fortnite” introduced an AI version of Darth Vader, who speaks with the voice of the late James Earl Jones.

The estate of James Earl Jones gave Epic Games permission to use the late actor’s voice for an AI Darth Vader.
Jim Spellman/WireImage via Getty Images

While it was popular among fans of the game, the Screen Actors Guild lodged a labor complaint with Epic Games, the creator of “Fortnite.” Even though Epic had received permission from the late actor’s estate, the Screen Actors Guild pointed out that actors could have been hired to voice the character, and the company – in refusing to alert the union and negotiate terms – violated existing labor agreements.

In “The Diamond Age,” while the Primer uses AI to generate the fairy tales that train Nell, for the voices of these archetypal characters, Stephenson concocted a low-tech solution: The characters are played by a network of what he termed “ractors” – real actors working in a studio who are contracted to perform and interact in real time with users.

The Darth Vader “Fortnite” character shows that a Primer built today wouldn’t need to use actors at all. It could rely almost entirely on AI voice generation and have real-time conversations, showing that today’s technology already exceeds Stephenson’s normally far-sighted vision.

Recording and guiding in real time

Synthesizing James Earl Jones’ voice in “Fortnite” wasn’t the only recent AI development heralding the arrival of Primer-like technology.

I recently witnessed a demonstration of wearable AI that records all of the wearer’s conversations. Their words are then sent to a server so they can be analyzed by AI, providing both summaries and suggestions to the user about future behavior.

Several startups are making these “always on” AI wearables. In an April 29, 2025, essay titled “I Recorded Everything I Said for Three Months. AI Has Replaced My Memory,” Wall Street Journal technology columnist Joanna Stern describes the experience of using this technology. She concedes that the assistants created useful summaries of her conversations and meetings, along with helpful to-do lists. However, they also recalled “every dumb, private and cringeworthy thing that came out of my mouth.”

AI wearable devices that continuously record the conversations of their users have recently hit the market.

These devices also create privacy issues. The people whom the user interacts with don’t always know they are being recorded, even as their words are also sent to a server for the AI to process them. To Stern, the technology’s potential for mass surveillance becomes readily apparent, presenting a “slightly terrifying glimpse of the future.”

Relying on AI engines such as ChatGPT, Claude and Google’s Gemini, the wearables work only with words, not images. Behavioral suggestions occur only after the fact. However, a key function of the Primer – coaching users in real time in the middle of any situation or social interaction – is the next logical step as the technology advances.

Education or social engineering?

In “The Diamond Age,” the Primer doesn’t simply weave interactive fairy tales for Nell. It also assumes the responsibility of educating her on everything from her ABCs when younger to the intricacies of cryptography and politics as she gets older.

It’s no secret that AI tools, such as ChatGPT, are now being widely used by both teachers and students.

Several recent studies have shown that AI may be more effective than humans at teaching computer science. One survey found that 85% of students said ChatGPT was more effective than a human tutor. And at least one college, Morehouse College in Atlanta, is introducing an AI teaching assistant for professors.

There are certainly advantages to AI tutors: Tutoring and college tuition can be exorbitantly expensive, and the technology can offer better access to education to people of all income levels.

Pulling together these latest AI advances – interactive avatars, behavioral guides, tutors – it’s easy to envision how an AI device like the Young Lady’s Illustrated Primer could be created in the near future. A young person might have a personalized AI character that accompanies them at all times. It can teach them about the world and offer up suggestions for how to act in certain situations. The AI could be tailored to a child’s personality, concocting stories that include AI versions of their favorite TV and movie characters.

But “The Diamond Age” offers a warning, too.

Toward the end of the novel, a version of the Primer is handed out to hundreds of thousands of young Chinese girls who, like Nell, didn’t have access to education or mentors. This leads to the education of the masses. But it also opens the door to large-scale social engineering, creating an army of Primer-raised martial arts experts, whom the AI then directs to act on behalf of “Princess Nell,” Nell’s fairy tale name.

It’s easy to see how this sort of large-scale social engineering could be used to target certain ideologies, crush dissent or build loyalty to a particular regime. The AI’s behavior could also be subject to the whims of the companies or individuals that created it. A ubiquitous, always-on, friendly AI could become the ultimate monitoring and reporting device. Think of a kinder, gentler face for Big Brother that people have trusted since childhood.

While large-scale deployment of a Primer-like AI could certainly make young people smarter and more efficient, it could also hamper one of the most important parts of education: teaching people to think for themselves.



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Gelson’s adopts Upshop’s AI-powered tech

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Gelson’s Markets has gone all-in on artificial intelligence with plans to deploy Uphop’s total store platform to manage forecasting, ordering, inventory, and production planning, the Austin-based tech company announced Monday. 

Gelson’s, which operates 26 upscale supermarkets and one convenience store, ReCharge by Gelsons, in Southern California, said the partnership ensures that “every location is tuned into local demand dynamics.”

The Austin-based SaaS tech company has served as a leader in AI-powered inventory management with its suite of tools that streamline the process. That includes direct store delivery (DSD) future-proofing, food traceability, and food waste management, among others. 

“In a competitive grocery landscape, scale isn’t everything—intelligence is,” said Ryan Adams, president and CEO of Gelson’s Markets, in a press release. “With Upshop’s embedded platform and AI-driven capabilities, we’re empowering our stores to be hyper-responsive, efficient, and focused on the guest experience. It’s how Gelson’s can compete at the highest level.”

Implementing the new technology puts Gelson’s in league with “a market dominated by national chains,” according to Upshop.

The grocery retailer’s adoption of the platform will kick off with a focus on “eliminating food waste and optimizing fresh food production—especially within foodservice,” with the goals of reducing shrink, streamlining production, and enhancing quality, according to Upshop.

Related:Foxtrot added to Uber Eats app

The premium grocery chain’s announcement appears to build on its recent investment in technology. In January 2024, the grocer announced a partnership with Scottsdale, Ariz.-based Clear Demand, which specializes in so-called intelligent price management and optimization (IPMO). That partnership aims to manage retail pricing strategies for the grocer.
Gelson’s was sold to Tokyo-based Pan Pacific International Holdings (PPIH) from TPG Capital in 2021.

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Join us at Grocery NEXT, September 10-12 at the Westin Chicago Northwest in Itasca, Ill., where industry leaders will explore the future of grocery technology, AI, automation and evolving consumer trends. Register now to be part of this groundbreaking event.





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IT Summit focuses on balancing AI challenges and opportunities — Harvard Gazette

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Exploring the critical role of technology in advancing Harvard’s mission and the potential of generative AI to reshape the academic and operational landscape were the key topics discussed during University’s 12th annual IT Summit. Hosted by the CIO Council, the June 11 event attracted more than 1,000 Harvard IT professionals.

“Technology underpins every aspect of Harvard,” said Klara Jelinkova, vice president and University chief information officer, who opened the event by praising IT staff for their impact across the University.

That sentiment was echoed by keynote speaker Michael D. Smith, the John H. Finley Jr. Professor of Engineering and Applied Sciences and Harvard University Distinguished Service Professor, who described “people, physical spaces, and digital technologies” as three of the core pillars supporting Harvard’s programs. 

In his address, “You, Me, and ChatGPT: Lessons and Predictions,” Smith explored the balance between the challenges and the opportunities of using generative AI tools. He pointed to an “explainability problem” in generative AI tools and how they can produce responses that sound convincing but lack transparent reasoning: “Is this answer correct, or does it just look good?” Smith also highlighted the challenges of user frustration due to bad prompts, “hallucinations,” and the risk of overreliance on AI for critical thinking, given its “eagerness” to answer questions. 

In showcasing innovative coursework from students, Smith highlighted the transformative potential of “tutorbots,” or AI tools trained on course content that can offer students instant, around-the-clock assistance. AI is here to stay, Smith noted, so educators must prepare students for this future by ensuring they become sophisticated, effective users of the technology. 

Asked by Jelinkova how IT staff can help students and faculty, Smith urged the audience to identify early adopters of new technologies to “understand better what it is they are trying to do” and support them through the “pain” of learning a new tool. Understanding these uses and fostering collaboration can accelerate adoption and “eventually propagate to the rest of the institution.” 

The spirit of innovation and IT’s central role at Harvard continued throughout the day’s programming, which was organized into four pillars:  

  • Teaching, Learning, and Research Technology included sessions where instructors shared how they are currently experimenting with generative AI, from the Division of Continuing Education’s “Bot Club,” where instructors collaborate on AI-enhanced pedagogy, to the deployment of custom GPTs and chatbots at Harvard Business School.
  • Innovation and the Future of Services included sessions onAI video experimentation, robotic process automation, ethical implementation of AI, and a showcase of the University’s latest AI Sandbox features. 
  • Infrastructure, Applications, and Operations featured a deep dive on the extraordinary effort to bring the new David Rubenstein Treehouse conference center to life, including testing new systems in a physical “sandbox” environment and deploying thousands of feet of network cabling. 
  • And the Skills, Competencies, and Strategies breakout sessions reflected on the evolving skillsets required by modern IT — from automation design to vendor management — and explored strategies for sustaining high-functioning, collaborative teams, including workforce agility and continuous learning. 

Amid the excitement around innovation, the summit also explored the environmental impact of emerging technologies. In a session focused on Harvard’s leadership in IT sustainability — as part of its broader Sustainability Action Plan — presenters explored how even small individual actions, like crafting more effective prompts, can meaningfully reduce the processing demands of AI systems. As one panelist noted, “Harvard has embraced AI, and with that comes the responsibility to understand and thoughtfully assess its impact.” 



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Tennis players criticize AI technology used by Wimbledon

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Some tennis players are not happy with Wimbledon’s new AI line judges, as reported by The Telegraph. 

This is the first year the prestigious tennis tournament, which is still ongoing, replaced human line judges, who determine if a ball is in or out, with an electronic line calling system (ELC).

Numerous players criticized the AI technology, mostly for making incorrect calls, leading to them losing points. Notably, British tennis star Emma Raducanu called out the technology for missing a ball that her opponent hit out, but instead had to be played as if it were in. On a television replay, the ball indeed looked out, the Telegraph reported. 

Jack Draper, the British No. 1, also said he felt some line calls were wrong, saying he did not think the AI technology was “100 percent accurate.”

Player Ben Shelton had to speed up his match after being told that the new AI line system was about to stop working because of the dimming sunlight. Elsewhere, players said they couldn’t hear the new automated speaker system, with one deaf player saying that without the human hand signals from the line judges, she was unable to tell when she won a point or not. 

The technology also met a blip at a key point during a match this weekend between British player Sonay Kartal and the Russian Anastasia Pavlyuchenkova, where a ball went out, but the technology failed to make the call. The umpire had to step in to stop the rally and told the players to replay the point because the ELC failed to track the point. Wimbledon later apologized, saying it was a “human error,” and that the technology was accidentally shut off during the match. It also adjusted the technology so that, ideally, the mistake could not be repeated.

Debbie Jevans, chair of the All England Club, the organization that hosts Wimbledon, hit back at Raducanu and Draper, saying, “When we did have linesmen, we were constantly asked why we didn’t have electronic line calling because it’s more accurate than the rest of the tour.” 

We’ve reached out to Wimbledon for comment.

This is not the first time the AI technology has come under fire as tennis tournaments continue to either partially or fully adopt automated systems. Alexander Zverev, a German player, called out the same automated line judging technology back in April, posting a picture to Instagram showing where a ball called in was very much out. 

The critiques reveal the friction in completely replacing humans with AI, making the case for why a human-AI balance is perhaps necessary as more organizations adopt such technology. Just recently, the company Klarna said it was looking to hire human workers after previously making a push for automated jobs. 



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