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Meet David Joyner, the professor who cloned himself with an AI avatar named ‘DAI-vid,’ as part of an experiment to ‘democratize’ online learning

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As AI sweeps through higher education, a growing number of professors have been drawing a line in the sand—banning AI tools from the classroom and returning to classic “blue book” exams to ensure authentic, human-driven learning. David Joyner of Georgia Tech told Fortune that he’s heard blue-book sales are up something like 50% nationwide. In fact, The Wall Street Journal reported in May that they they’ve risen even higher at some colleges, such as the University of California, Berkeley, whose bookstore reported an 80% surge over the last two years.

But Joyner, who among other things is Georgia Tech’s executive director of online education, where he’s long been a leader in the online education space with an ultra-cheap $7,000 computer science Masters degree, has other ideas. He and Anant Agarwal, an award-winning professor at the Massachusetts Institute of Technology, have cloned Joyner in cyberspace and created an artificial intelligence (AI) professor.

Joyner’s latest project on the online education platform edX, an experimental pilot titled “Foundations of Generative AI,” is something new, Fortune can exclusively reveal. It uses a virtual avatar named DAI-vid, modeled after Joyner’s own appearance and voice. The avatar delivers lectures while wearing a signature binary-coded bracelet. Joyner explained that if you see him onscreen wearing a bracelet, that’s actually DAI-vid talking.

The rise of the ‘super teacher’

Agarwal became CEO of edX in 2012 for exactly this outcome, when Harvard and MIT co-founded the nonprofit based off Agarwal’s MITx initiative. Ever since, he has been using the platform to teach far-reaching “open courses” (also known as MOOCs, or massive online open courses) for years, with the first edX course being an MIT lecture on circuits and electronics that drew 155,000 students from 162 countries within one year, according to edX, and has now surpassed 1 million. The open courses offered by edX have since grown to over 2,000 online courses reaching over 17 million people.

The organization has grown from a nonprofit, jointly founded by Harvard and MIT with $30 million investments from each, into a for-profit entity following its acquisition by 2U for $800 million in 2021, when Agarwal became 2U’s chief academic officer. With edX now firmly in the for-profit area of open courses, competing against players such as Coursera, profit is a consideration but edX reiterated to Fortune that this AI pilot is not part of monetization efforts.

In the years since, Agarwal told Fortune, edX has grown to reach millions of people, in line with its mission. For instance, he noted that Harvard’s David Malan has taught an online course on edX that has drawn over 7 million users, while Agarwal’s own circuits course has been taken by at least a million students worldwide. Agarwal said he strongly believes that AI technology will help more professors reach similar millions of people, and that’s why he approached Joyner about the idea of an AI-generated open course.

Agarwal said Joyner is his “go-to person for things like this” and mentioned how much Joyner has done to democratize online learning, including his computer science degree recognized by, among others, Fast Company for its low-cost accessibility. Stressing that the course was developed as an experimental pilot, they said rhey want to harvest feedback and learnings.

At the time, Joyner was developing a new generative AI module for the aforementioned online computer science program, specifically the Master of Science degree. He had two bad options: a text-based format that could be easily updated but boring, and a filmed course that would be outdated within months, at the rate of technological progress. Using AI tools offered a way for him to do both, he realized. The result is Foundations of Generative AI: a three-week course on edX that feels like a timely video course but can be edited and updated by Joyner with the help of AI tools at any point.

The course introduces Joyner’s avatar—DAI-vid—upfront, so students know they’re watching AI-generated instruction. The avatar is clearly identified with a visible indicator: a bracelet created by Joyner’s daughter (which spells AI in binary digits) ensures students always know when the presenter is the AI. Joyner used HeyGen, a generative AI video platform, to create his avatar, training it with a five-minute studio recording that captured his appearance and speech patterns.

Agarwal said he was excited by the results: “AI is augmenting the teacher and turns teachers into super teachers.” Far from eliminating teachers, it is multiplying their reach and impact, he said. “It democratizes teaching.” Everybody can be a great teacher with these AI tools, he insisted, but there’s a catch: these AI tools still don’t substitute for human skills and knowhow.

“If you’re a bad teacher, this isn’t going to make you a good teacher,” Agarwal said. “But if you’re a good teacher, this is going to make it so you can teach a lot more people and teach a lot more subjects and teach in a lot more contexts. But you still have to have that expertise.”

Joyner agreed, clarifying that AI gets added to the relationship after all the intellectual heavy lifting by (the human version of) him is done: “This is an AI assisting an instructor, but the instructor ultimately [is] the author and responsible party for everything.” He said it’s definitely not the case that he’s telling a robot to design his course, it’s more like he’s working with robots to amplify the course delivery once he’s done designing it himself.

Agarwal said he knows many professors “who can write quite well, but are tongue-tied in front of a camera,” lacking the kind of hand gestures, enthusiasm, and even voice inflection that makes for a successful instructor. He explained that he sees AI as part of a natural progression in teaching, noting the huge advances in course instruction from even 10, 20 years ago. The richest colleges and universities were able to improve education, taking one professor’s wonky scribblings and turning them into slick presentations with the help of “graphic designers, video editors, text writers, amazing teaching assistants, all kinds of people—a professor could have a huge team,” Agarwal said. A lot of those functions can now be done by AI, he added, “and every teacher at every college, poor or rich, can have an amazing team and a supporting cast.” He said that instead of harming education, AI will “democratize” it.

For Joyner, working with AI has made course creation a more personal process: “The analogy I have is when I do a traditional course production, it feels like a Marvel big-budget movie production… This [AI process] feels more like an auteur indie film.” He said he feels like this course “captures” him much more—even though it’s DAI-vid talking, not David.

AI-assisted grading

Fortune has previously reported on the thorny question of education in the age of AI. Jure Leskovec, a computer science professor at Stanford and himself a startup founder, told Fortune that he shifted two years ago to completely hand-written and hand-graded essays. Students, especially his teaching assistants, were asking for it because they wanted to be sure they were really learning about the subject and that required a manual process given AI’s capabilities. He said that instead of saving him time, AI has made it so exams take “much longer” to grade, creating “additional work” and “fewer trees in the world” from all the paper he’s printing out.

To be sure, an intensive, semester-long course at Stanford like this one is very different from a three-week open course like Joyner’s. Still, Joyner is taking nearly the opposite tack, prioritizing scale and efficiencies through AI-assisted grading, with safeguards built into the process. Essays are evaluated through a tool called “GradyAI,” and the key thing, according to Agarwal, “is that students learn better from rapid feedback cycles.” He explained that traditionally, students submit an essay, wait a week, and get feedback, but GradyAI makes feedback nearly instant. “And anything a TA would need to escalate, a human can still take over. We see this as a crucible to experiment with the best of both AI and human teaching.”

When asked about potential mistakes or even hallucinations in the grading of papers through AI technology, Agarwal explained that the grading tool provides very detailed feedback, and students can ask for a regrade if they disagree. “Within a minute, GradyAI will have regraded them based on the feedback. And the students can escalate to a faculty member for a live look, if they want to.”

Regarding the subject of cheating and whether students might use AI to write essays, edX told Fortune that GradyAI has cheating detection built into its algorithms that can be turned on or off depending on the application. This works by extracting a student’s skills from their submitted assignments and flagging inconsistencies with the skills that are subsequently displayed. It uses the same skills extraction algorithms to report a student’s skill development over a course as a demonstration of learning progress. 

Agarwal said the system was also designed to accommodate privacy laws and newly emerging regulations in areas like Europe, and this is a bit difficult as it’s such a nascent space. “The laws are changing so fast.”

One of the most transformative aspects is accessibility. The tools allow courses to be instantly translated and altered to fit many different learning styles and needs—including learners with disabilities, or those needing support in different languages. “With one course, I can explode it exponentially a million-fold and truly customize learning to each student,” Agarwal said. He said he envisioned a future where every learner can “zap” a course into their preferred level, language, or pace—radically personalizing education at scale.

The coming tsunami

In a separate interview, Agarwal made clear that he’s a big believer in AI, having spent decades exploring its potential, from building energy-efficient “organic computing” models in the early 2000s to pioneering online learning with edX’s nearly 100 million global learners today. He is incredibly bullish on AI, telling Fortune that this will be “the decade to beat all decades” in terms of technological advancement.

He acknowledged the recent finding from colleagues at MIT that 95% of corporate AI pilots are failing to generate a return on investment, but added that that’s just part of how science works: “I’m not surprised. I mean, I’ve been a technologist long enough [to wonder] why is that even news? Remember, I was becoming an MIT professor in the mid-’80s when the first mobile phone just came out, and it was as big as a coffee machine.” The real breakthrough came decades later. Agarwal said he was able to access the internet in 1987 through his research and “it was crappy, crummy, text-based.” AI, he added, is going to be “bigger than microwave ovens. It’s bigger than the automobile. It’s bigger than, probably the thing that comes closest would be the computer.”

Agarwal also acknowledged the chaos unleashed in job markets and among students, pointing to coding as a specific example. “The boot-camp business completely imploded and … does not exist anymore, pretty much. And it’s because all those entry-level coding jobs went away because coding moved to a higher level.”

Agarwal predicted a “tsunami of people that are coming who are hell-bent on upskilling with AI,” and said he’s working with major corporate clients who “want to upskill tens of thousands of people within their own company … It is much, much easier to upskill an existing employee than try to lay off and hire somebody else. So my sense is that this upskilling tsunami is coming.” (Agarwal declined to name the client, citing confidentiality.)

In other words, millions of people will need new skills, and they might be getting them from a professor’s avatar, wearing a bracelet, with a name like DAI-vid.



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Google DeepMind agrees to sweeping partnership with the U.K. government

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AI lab GoogleDeepMind announced a major new partnership with the U.K. government Wednesday, pledging to accelerate breakthroughs in materials science and clean energy, including nuclear fusion, as well as conducting joint research on the societal impacts of AI and on ways to make AI decision-making more interpretable and safer.

As part of the partnership, Google DeepMind said it would open its first automated research laboratory in the U.K. in 2026. That lab will focus on discovering advanced materials including superconductors that can carry electricity with zero resistance. The facility will be fully integrated with Google’s Gemini AI models. Gemini will serve as a kind of scientific brain for the lab, which will also use robotics to synthesize and characterize hundreds of materials per day, significantly accelerating the timeline for transformative discoveries.

The company will also work with the U.K. government and other U.K.-based scientists on trying to make breakthroughs in nuclear fusion, potentially paving the way for cheaper, cleaner energy. Fusion reactions should produce abundant power while producing little to no nuclear waste, but such reactions have proved to be very difficult to sustain or scale up.

Additionally, Google DeepMind is expanding its research alliance with the government-run U.K. AI Security Institute to explore methods for discovering how large language models and other complex neural network-based AI models arrive at decisions. The partnership will also involve joint research into the societal impacts of AI, such as the effect AI deployment is likely to have on the labor market and the impact increased use of AI chatbots may have on mental health.

British Prime Minister Keir Starmer said in a statement that the partnership would “make sure we harness developments in AI for public good so that everyone feels the benefits.”

“That means using AI to tackle everyday challenges like cutting energy bills thanks to cheaper, greener energy and making our public services more efficient so that taxpayers’ money is spent on what matters most to people,” Starmer said.

Google DeepMind cofounder and CEO Demis Hassabis said in a statement that AI has “incredible potential to drive a new era of scientific discovery and improve everyday life.”

As part of the partnership, British scientists will receive priority access to Google DeepMind’s advanced AI tools, including AlphaGenome for DNA sequencing; AlphaEvolve for designing algorithms; DeepMind’s WeatherNext weather forecasting models; and its new AI co-scientist, a multi-agent system that acts as a virtual research collaborator.

DeepMind was founded in London in 2010 and is still headquartered there; it was acquired by Google in 2014.

Gemini’s U.K. footprint expands

The collaboration also includes potential development of AI systems for education and government services. Google DeepMind will explore creating a version of Gemini tailored to England’s national curriculum to help teachers reduce administrative workloads. A pilot program in Northern Ireland showed that Gemini helped save teachers an average of 10 hours per week, according to the U.K. government.

For public services, the U.K. government’s AI Incubator team is trialing Extract, a Gemini-powered tool that converts old planning documents into digital data in 40 seconds, compared to the current two-hour process.

The expanded research partnership with the U.K. AI Security Institute will focus on three areas, the government and DeepMind said: developing techniques to monitor AI systems’ so-called “chain of thought”—the reasoning steps an AI model takes to arrive at an answer; studying the social and emotional impacts of AI systems; and exploring how AI will affect employment.

U.K. AISI currently tests the safety of frontier AI models, including those from Google DeepMind and a number of other AI labs, under voluntary agreements. But the new research collaboration could potentially raise concerns about whether the U.K. AISI will remain objective in its testing of its now-partner’s models.

In response to a question on this from Fortune, William Isaac, principal scientist and director of responsibility at Google DeepMind, did not directly address the issue of how the partnership might affect the U.K. AISI’s objectivity. But he said the new research agreement puts in place “a separate kind of relationship from other points of interaction.” He also said the new partnership was focused on “question on the horizon” rather than present models, and that the researchers would publish the results of their work for anyone to review.

Isaac said there is no financial or commercial exchange as part of the research partnership, with both sides contributing people and research resources.

“We’re excited to announce that we’re going to be deepening our partnership with the U.K. AISI to really focus on exploring, really the frontier research questions that we believe are going to be important for ensuring that we have safe and responsible development,” he said.

He said the partnership will produce publicly accessible research focused on foundational questions—such as how AI impacts jobs or how talking to chatbots effects mental health—rather than policy-specific recommendations, though the findings could influence how businesses and policymakers think about AI and how to regulate it.

“We want the research to be meaningful and provide insights,” Isaac said.

Isaac described the U.K. AISI as “the crown jewel of all of the safety institutes” globally and said deepening the partnership “sends a really strong signal” about the importance of engaging responsibly as AI systems become more widely adopted.

The partnership also includes expanded collaboration on AI-enhanced approaches to cybersecurity. This will include the U.K. government exploring the sue of tools like Big Sleep, an AI agent developed by Google that autonomously hunts for previously unknown “Zero Day” cybersecurity exploits, and CodeMender, another AI agent that can search for and then automatically patch security vulnerabilities in open source software.

British Technology Secretary Liz Kendall is visiting San Francisco this week to further the U.K.-U.S. Tech Prosperity Deal, which was agreed to during U.S. President Trump’s state visit to the U.K. in September. In November alone, the British government said the pact helped secure more than $32.4 billion of private investment committed to the U.K tech sector.

The Google-U.K. partnership builds on a £5 billion ($6.7 billion) investment commitment from Google made earlier this year to support U.K. AI infrastructure and research, and to help modernize government IT systems.

The British government also said collaboration supports its AI Opportunities Action Plan and its £137 million AI for Science Strategy, which aims to position the UK as a global leader in AI-driven research.



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49-year-old Democrat who owns a gourmet olive oil store swipes another historically Republican district from Trump and Republicans

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Democrat Eric Gisler claimed an upset victory Tuesday in a special election in a historically Republican Georgia state House district.

Gisler said he was the winner of the contest, in which he was leading Republican Mack “Dutch” Guest by about 200 votes out of more than 11,000 in final unofficial returns.

Robert Sinners, a spokesperson with the secretary of state’s office, said there could be a few provisional ballots left before the tally is finalized.

“I think we had the right message for the time,” Gisler told The Associated Press in a phone interview. He credited his win to Democratic enthusiasm but also said some Republicans were looking for a change.

“A lot of what I would call traditional conservatives held their nose and voted Republican last year on the promise of low prices and whatever else they were selling,” Gisler said. “But they hadn’t received that.”

Guest did not immediately respond to a text message seeking comment late Tuesday.

Democrats have seen a number of electoral successes in 2025 as the party’s voters have been eager to express dissatisfaction with Republican President Donald Trump.

In Georgia in November, they romped to two blowouts in statewide special elections for the Public Service Commission, unseating two incumbent Republicans in campaigns driven by discontent over rising electricity costs.

Nationwide, Democrats won governor’s races by broad margins in Virginia and New Jersey. On Tuesday a Democrat defeated a Trump-endorsed Republican in the officially nonpartisan race for Miami mayor, becoming the first from his party to win the post in nearly 30 years.

Democrats have also performed strongly in some races they lost, such as a Tennessee U.S. House race last week and a Georgia state Senate race in September.

Republicans remain firmly in control of the Georgia House, but their majority is likely fall to 99-81 when lawmakers return in January. Also Tuesday, voters in a second, heavily Republican district in Atlanta’s northwest suburbs sent Republican Bill Fincher and Democrat Scott Sanders to a Jan. 6 runoff to fill a vacancy created when Rep. Mandi Ballinger died.

The GOP majority is down from 119 Republicans in 2015. It would be the first time the GOP holds fewer than 100 seats in the lower chamber since 2005, when they won control for the first time since Reconstruction.

The race between Gisler and Guest in House District 121 in the Athens area northeast of Atlanta was held to replace Republican Marcus Wiedower, who was in the seat since 2018 but resigned in the middle of this term to focus on business interests.

Most of the district is in Oconee County, a Republican suburb of Athens, reaching into heavily Democratic Athens-Clarke County. Republicans gerrymandered Athens-Clarke to include one strongly Democratic district, parceling out the rest of the county into three seats intended to be Republican.

Gisler ran against Wiedower in 2024, losing 61% to 39%. This year was Guest’s first time running for office.

A Democrat briefly won control of the district in a 2017 special election but lost to Wiedower in 2018.

Gisler, a 49-year-old Watkinsville resident, works for an insurance technology company and owns a gourmet olive oil store. He campaigned on improving health care, increasing affordability and reinvesting Georgia’s surplus funds

Guest is the president of a trucking company and touted his community ties, promising to improve public safety and cut taxes. He was endorsed by Republican Gov. Brian Kemp, an Athens native, and raised far more in campaign contributions than Gisler.



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Rivian CEO says it’s a misconception EVs are politicized, with a 50-50 party split among R1 buyers

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If Rivian’s sales are any indication, owning an electric vehicle isn’t such a partisan issue, despite President Donald Trump’s rollbacks of mandates, incentives, and targets for EVs.

At the Fortune Brainstorm AI conference in San Francisco on Tuesday, Rivian CEO RJ Scaringe said it’s a misconception that electrification is politicized, explaining that most customers buy a product based on how it fits their needs, not their ideology. The questions car buyers ask, he said, are the same whether they’re purchasing one with an internal-combustion engine or a battery: “Is it exciting? Are you attracted to the product? Does it draw you in? Does the brand positioning resonate with you? Do the features answer needs that you have?”

Buyers of Rivian’s R1 electric SUV are split roughly 50-50 between Republicans and Democrats, Scaringe told Fortune’s Andrew Nusca. “I think that’s extraordinarily powerful news for us to recognize—that this isn’t just left-leaning buyers,” he added. “These are people that are saying, ‘I like the idea of this product, I’m excited about it.’ And this is thousands and thousands of customers. This is statistically relevant information.”

Buying an EV was once an indication of left-leaning politics, but the politics got scrambled after Tesla CEO Elon Musk became the top Republican donor and a close adviser to Trump. That drew some new customers to Tesla, and turned off a lot of progressive EV buyers, with many existing owners putting bumper stickers on their Teslas explaining that they bought their cars before Musk’s hard-right turn. Trump and Musk later had a stunning public feud, in part over the administration’s elimination of EV and solar tax credits.

But Scaringe said he started Rivian with a long-term view, independent of any policy framework or political trends. He also insisted that if Americans have more EV choices, sales would follow. Right now, Tesla dominates a key corner of the market, namely EVs in the $50,000 price range. Rivian’s forthcoming R2 mid-size SUV will represent a new choice in that market, with a starting price of $45,000 versus the R1’s $70,000.

Ten years from now, Scaringe said he hopes—and believes—that EV adoption in the U.S. will be meaningfully higher than it is today across the board, explaining that the main constraint isn’t on the demand side. Instead, it’s on the supply side, which suffers from “a shocking lack of choice,” especially compared to Europe and China, he added. EV options in the U.S. are limited by the fact that Chinese brands are shut out of the market.

More choices for U.S. EV buyers would presumably create more competition for Rivian—and indeed, the flood of low-priced Chinese EVs in other auto markets has created a backlash, with countries such as Canada imposing steep tariffs on them. But Scaringe appears to view more competition as positive for the market overall.

“I do think that the existence of choice will help drive more penetration, and it actually creates a unique opportunity in the United States,” he said.



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