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Tsinghua University, the University of Washington, and Microsoft are partnering to create the Global Innovation Exchange (GIX). GIX is an academic institute that aims to solve global challenges by bringing together students, faculty, professionals, and entrepreneurs. The institute will offer project-based learning in areas like mobile health, smart cities, sustainable development, and the Internet of things. GIX will be located in Bellevue Spring District, close to technology corridors and the University of Washington. Microsoft is investing $40 million in initial funding, and more universities and companies are expected to join. GIX will provide state-of-the-art facilities, train skilled professionals, and foster global connections. The goal is to create a center for innovation excellence that benefits the world.

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The State Department's engagement with cities is a crucial part of their work. They collaborate with embassies on various issues such as connecting businesses, promoting energy security, combating human trafficking, and improving global health. The Innovation Plaza at the summit showcased solutions for government services, recycling, sustainability, and housing. To further this work, the Cities Forward initiative was launched, connecting 12 American cities with 12 Latin American and Caribbean cities. They will share experiences and lessons on reducing pollution and designing infrastructure to withstand natural disasters. Funding and technical assistance will be provided to develop sustainability action plans. The goal is to expand this initiative to cities throughout the hemisphere. Collaboration between cities, businesses, governments, and organizations is crucial for addressing challenges and creating a better future.

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Climate change is harming people's health, and health professionals need to be ready to tackle this challenge. The European Network on Climate and Health Education is being established to increase teaching on this subject in medical schools across Europe and beyond. The network will enhance the ability to collaborate and share best practices across universities. Health care professionals are increasingly on the frontline of climate change, and health leaders from across the public and private sectors are supporting this new network. This collaboration will help train the next generation of medics with the skills they need to treat the health impacts of climate change and deliver more sustainable health care. Many universities across the world don't teach about the health impacts of climate change, leaving a gap in knowledge and readiness to help patients.

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It's an honor to welcome three leading technology CEOs: Larry Ellison, Masa Yoshi Son, and Sam Altman. They are announcing the formation of Stargate, a groundbreaking AI infrastructure project in the United States. This initiative will invest at least $500 billion in AI infrastructure and create over 100,000 American jobs rapidly. Stargate represents a significant collaboration among these tech giants, highlighting the competitive landscape of AI development. Expect to hear more about Stargate in the future as it aims to reshape the AI industry in America.

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Innovation knows no borders. Tsinghua University and the University of Washington, with support from Microsoft, are launching the Global Innovation Exchange (GIX) to unite students, faculty, and professionals in a project-based learning environment. GIX will focus on real-world challenges in mobile health, smart cities, sustainable development, and the Internet of Things. Starting with a master's degree in technology innovation, GIX aims to educate over 3,000 learners in the next decade. Located in Bellevue, Washington, it marks the first U.S. presence for a Chinese research university. Microsoft is investing $40 million in initial funding, with more partners expected. This collaboration will enhance innovation, provide advanced facilities, and strengthen global ties among innovators. The Global Innovation Exchange is set to foster impactful solutions for a better world.

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Sean Rein, author and founder/managing director of the China Market Research Group, discusses China’s current dynamics, opportunities, and global context with Glenn. Rein argues that China in 2026 is fundamentally different from China in 2016, with real estate, consumer confidence, and demographics as central challenges, but also with strong opportunities driven by indigenous innovation and a rapid reorientation toward self-reliance. On current challenges, Rein highlights real estate weakness as the primary concern: housing prices in top cities have fallen 30–40%, with slower property turnover and anemic transaction volumes. He distinguishes China’s situation from a US-style financial crisis, noting most homeowners have substantial mortgage equity (50–100% down) so there is no systemic panic selling. The result is stagnation rather than collapse, with consumer anxiety suppressing spending and delaying entrepreneurship. This consumer reticence, compounded by a large household savings stock (~$20 trillion) and a shrinking willingness to spend, threatens longer-term demographic goals (lower birth rates, delayed or avoided marriage) and complicates future growth. On opportunities, Rein emphasizes China’s shift toward indigenous innovation and self-reliance, a pivot that began under the Trump era’s sanctions regime and has intensified since. He argues that Chinese companies are now prioritizing technology—AI, semiconductors, NEVs, and broader green tech—alongside agriculture and food supply diversification (beef, soybeans, blueberries) to reduce exposure to Western import controls. He notes that Western observers often misread China’s trajectory due to outdated information from observers who left China years ago. He cites strong performance in Chinese equities (second-best global performance after Korea, up ~30% in a recent period) and asserts that Chinese tech firms (e.g., Alibaba, Baidu) are rapidly advancing, challenging passive stereotypes of China as merely a copycat. Rein also contends that China’s universities and talent pools are rising in global rankings, and that China’s approach to innovation now blends capital, government support, engineering talent, and an ecosystem that can outpace Western models that rely more on venture capital dynamics. On geopolitics and global leadership, Rein argues China is a natural partner with the United States, more so than with Russia, and that Western framing of China as an adversary is outdated. He contends that China’s strategy includes self-reliance in critical tech and a diversified supply chain—reducing vulnerability to sanction regimes by building internal capabilities and alternate sources. In energy and resources, China remains dependent on imports for oil (notably Iran as a major supplier) and is actively expanding renewables (wind, solar) and nuclear power, while securing strategic reserves to stabilize prices. He notes Europe as a potential beneficiary if it pursues reciprocity and deeper integration with Chinese markets, suggesting joint ventures and non-tariff barriers to ensure fair access for European firms, and criticizing European policymakers for hampering Chinese investment and technology transfer. On the US-China trade war, Rein calls tariffs a total failure overall, citing sectoral shifts in sourcing (China-plus-one strategies) but noting that costs often remain lower with Chinese imports due to tariff carve-outs and exceptions. He emphasizes that global supply chains have adapted to diversify away from single sources (China, the US, Brazil, Argentina, Taiwan, Vietnam), but asserts China still holds disproportionate leverage in critical areas like rare earths, refining, and certain energy and mineral markets. He argues that America’s coercive tools have backfired in many respects, and that Europe’s leverage lies in pragmatic, reciprocal relationships with both powers. Near-term outlook, Rein expects China to continue focusing on raising the quality of life for the large middle and lower-middle class, expanding access to health care and education, and creating a moderately prosperous society. He suggests that true wealth creation in China will come from within the middle 80–90% of the population, while a comparatively smaller elite may see gains in education and health services. He also notes that for individuals seeking the most dramatic financial upside, the United States (e.g., Austin, Silicon Valley) remains a more fertile landscape. As for his personal work, Rein promotes his book, The Finding the Opportunities in China and the New World Order, and mentions active presence on Twitter and LinkedIn, with possible future podcasting.

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Cathy Li introduces the launch of the International Computation and AI Network of Excellence (ICON) with a panel of experts. State Secretary Faisel highlights Switzerland's motivation to address global AI imbalances and ensure AI benefits all. Switzerland aims to prevent AI from becoming a driver of global inequality and supports the United Nations' efforts in AI governance. The initiative emphasizes Switzerland's leadership in AI research and commitment to equitable international cooperation through Geneva.

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Tsinghua University, the University of Washington, and Microsoft are partnering to create the Global Innovation Exchange (GIX), an academic institute that aims to solve global challenges through collaboration. GIX will bring together students, faculty, professionals, and entrepreneurs in a project-based learning environment. The focus will be on real-world challenges like mobile health, smart cities, sustainable development, and the Internet of things. GIX will offer a master's degree in technology innovation and plans to expand with additional degree and certificate programs. The institute will be located in Bellevue Spring District, close to technology corridors and the University of Washington. Microsoft is investing $40 million in funding, and more universities and companies are expected to join. GIX aims to foster innovation and strengthen global ties.

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N Stride's partnerships with top universities are crucial. Their brand, excellence, and quality will benefit learners, the companies that hire them, and the broader community.

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We welcome you to the World Economic Forum Headquarters, where exceptional leaders gather to drive change. Our mission is to inspire and connect diverse leaders to build a more inclusive and sustainable world. Through our framework, we aim to incubate projects like Gavi to advance our mission. As privileged individuals, we must use our privilege for a purpose. Join us in creating meaningful impact together.

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I'm honored to welcome three leading technology CEOs: Larry Ellison of Oracle, Masa Son of SoftBank, and Sam Altman of OpenAI. Together, they are announcing Stargate, a new American company that will invest at least $500 billion in AI infrastructure in the United States. This initiative aims to create over 100,000 American jobs quickly and represents a strong vote of confidence in America's potential. The goal is to ensure that technology development remains in the U.S. amid global competition, particularly from China. This monumental project signifies a commitment to advancing technology domestically.

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Innovations are happening in Africa, Asia, South America, and Europe to help businesses connect with key stakeholders through skill innovations. This is crucial for addressing various challenges.

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Microsoft and OpenAI plan to build a $100 billion Stargate AI supercomputer for achieving AGI. Phase 4, costing less, will launch in 2026. Microsoft is investing in a $1 billion data center in Wisconsin. The project aims to boost economic growth and create a technology hub. Racine County is excited about Microsoft's plans, which include restoring Lampard Creek and establishing a data center academy. Racine's designation as a smart city will improve residents' lives through technology, reducing inequalities. Gateway Technical College will train workers for smart city technologies. Racine is seen as a prime location for innovation and investment.

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Nvidia is growing, along with its partnerships and the number of engineers in Taiwan. To accommodate this growth beyond the limits of the current office, Nvidia will build a new Taiwan office called NVIDIA Constellation.

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There was information leaked from inside Microsoft and OpenAI about a plan to build a Stargate AI supercomputer with a projected cost of $100,000,000,000 to power ambitions for artificial general intelligence (AGI). The article describes five phases, with phase five named Stargate after the science fiction device for traveling between galaxies. Phase four is expected to occur in 2026 and is described as a smaller phase four supercomputer for OpenAI, intended to launch around 2026. Executives are reported to have planned to build the projects in Mount Pleasant, Wisconsin, where the Wisconsin Economic Development Corporation recently announced Microsoft began a $1,000,000,000 data center expansion. The supercomputer and data center could eventually cost as much as $10,000,000,000 to complete, indicating a massive investment in compute resources. In Racine County, Wisconsin, Microsoft hopes to build a $1,000,000,000 data center campus near the Foxconn site, with Microsoft paying the village $50,000,000 for 315 acres of land. Microsoft’s land acquisition director, AJ Steinbrecher, described a promising future for Mount Pleasant, stating Microsoft is committed to driving inclusive economic opportunity in Southeastern Wisconsin and supporting aspirations to become a technology and innovation hub. Microsoft is offering $42,800,000 for just over 600 acres of public land and an undisclosed amount for an additional 400 acres of privately owned farmland, creating a large footprint for the company. If approved, the development would cover more than two square miles. Portions of land that Foxconn is releasing rights to would be included, and Microsoft aims to close the sale by the end of the year to be on the 2024 tax roll. A financial perspective from a local official described it as a great win for the village with no reservations. The Monday night presentation highlighted commitments beyond the data centers, including Microsoft’s plan to restore part of Lamparic Creek with over $4,000,000 and to create a data center academy at Gateway Technical College. The broader Racine story is framed as a move toward a “smart city,” with discussions of improving residents’ lives through technology, such as easier access to city services via mobile devices, expanded transit options, and better Internet for businesses and students. Media coverage emphasized how the smart city designation reflects collaboration among local government, education, and business, and how the initiative would train the workforce in the latest technologies and networks through Gateway Technical College, addressing security, speed, and data usage skills for workers in a smart city. The narrative positions Racine as an attractive site for innovation and investment in advanced technology.

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Tsinghua University, the University of Washington, and Microsoft are collaborating to establish the Global Innovation Exchange (GIX). GIX is an academic institute that aims to solve global challenges by bringing together students, faculty, professionals, and entrepreneurs. The institute will offer project-based learning in areas like mobile health, smart cities, sustainable development, and the Internet of things. GIX will be located in Bellevue Spring District, close to technology hubs and the University of Washington. Microsoft has invested $40 million in the project, and more universities and companies are expected to join. GIX will provide state-of-the-art facilities, train skilled professionals, and foster global connections. The goal is to create a center for innovation that benefits the world.

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A major AI infrastructure project is being announced in the U.S., led by top technology executives including Larry Ellison, Masa Yoshi, and Sam Altman. This initiative, called Stargate, will invest at least $500 billion in AI infrastructure, rapidly creating over 100,000 American jobs. This significant investment reflects confidence in America's technological future and aims to keep advancements within the country amid global competition, particularly from China. The goal is to ensure that the U.S. remains a leader in technology development.

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Our theory of change is to ensure that everyone, not just top leaders, has the resources and training to do this work. We have partnered with progressive companies like Ikea, Spotify, Ericsson, and Google, who not only sponsor this initiative but also train all their employees. Some companies even aim to spread this in society. We are in talks with Apple to have this in every iPhone, although it may take 1 or 2 years due to internal bureaucracy. To establish credibility, we have collaborated with universities such as Stockholm University, Stockholm School of Economics, Lund University, Harvard, Atmos, Paris University, and Danish Technical University.

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Beyond Code is a digital course institution in Latin America that focuses on identifying the competencies students can acquire through virtual and face-to-face learning. The instructors at Beyond Code have developed a different set of skills to transform their teaching methods online, aiming to create an inclusive and engaging learning experience for students. They have implemented a new educational model with four pillars, launched in August 2019, which allows students to solve real challenges, interact with training partners from companies and organizations, and choose personalized learning paths. Additionally, Beyond Code has established an institutional process for educational innovation, enabling them to incorporate more innovations into their structured educational model and drive change through innovative projects.

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In America, there's intense competition in AI and technology. Today, we have Oracle's Larry Ellison, SoftBank's Masa Yoshi Son, and OpenAI's Sam Altman, a leading expert in the field, joining forces. Together, they are announcing the formation of Stargate, a significant collaboration that promises to make a substantial impact in the industry. Keep an eye on this name, as it is poised to become very influential.

Possible Podcast

Ben Nelson on the Future of Higher Education (Full Audio)
Guests: Ben Nelson
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Education can be redesigned around how you apply what you learn, not how you recall it. Ben Nelson describes Minerva University as a program built to advance social mobility, with students living in San Francisco and studying across seven cities over four years. The institution selects diverse, growth-minded applicants and dedicates itself to eighty habits of mind and foundational concepts that underlie every course. Sixty percent of incoming students come from households earning less than fifty thousand dollars a year, and Minerva's outcomes exceed those of Ivy League graduates, illustrating education as elevation. Nelson explains two core ideas: first, how people absorb information lies in processing and association rather than passive listening; second, transfer, the ability to apply a skill across contexts. Traditional university pedagogy often treats knowledge as the endpoint; Minerva treats it as a starting point. In practice, classes use data-tracking technology that records how much each student speaks, flagging participation disparities. An early pilot showed bias: the best-graded student tended to be male, while the highest rubric scores went to female students, highlighting evaluation bias the system seeks to reduce. Artificial intelligence reframes learning as augmentation rather than a threat. Minerva does not offer routine one-oh-one courses and embraces AI-generated prompts to raise standards. ChatGPT provides answers rather than sources, demanding new discernment about facts versus claims. Nelson argues the real opportunity lies in rigorous transfer, speeding the path from information to problem solving. The discussion moves to Malik, a GPT-4 story about AR/VR field trips; technology can mimic context while valuing real-world immersion and work experiences. Policy and equity emerge as decisive forces. The guests propose a bold public-policy lever: universities should educate whatever populations they choose, but institutions that fail to reflect the country's socioeconomic distribution would lose nonprofit status and public funding. This would dramatically reshape access and mobility. They call for a future where education centers on applying knowledge to life and work, with transfer across cities and cultures as the norm. The conversation concludes with optimism about augmented reality, the continued expansion of Minerva's model, and the idea that education can rise by raising expectations for all.

TED

What the World Can Learn From China’s Innovation Playbook | Keyu Jin | TED
Guests: Keyu Jin
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Keyu Jin reflects on China's transformation from scarcity to technological abundance over three decades. She highlights China's unique innovation model, which combines centralized government support with decentralized economic creativity, exemplified by the success of companies like NIO. Jin emphasizes the importance of mutual understanding between China and the U.S. in fostering innovation, suggesting that competition drives technological advancement. She advocates for collaboration to address global challenges, prioritizing affordable technology for a better future.

Possible Podcast

Possible EP 91: Entry-Level Jobs Decline & MIT Study Says There’s an AI Bubble
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AI promises a cognitive industrial revolution, but MIT’s finding that 95% of AI pilots fail to scale raises a cautionary flag for institutions chasing quick wins. Organizations lean on pilots; three to five people test something, then move on, while real adoption requires transforming how individuals work and how companies operate. The conversation calls out scale in four parts: compute, learning systems, data, and, crucially, adoption. Startups tend to accelerate, while traditional enterprises stumble under internal policies and policy frictions. The global stage adds urgency as democracies weigh how to govern deployment without stifling innovation. Separately, a global lens sharpens the stakes: policy shifts around Nvidia’s chips, China’s push toward Huawei’s Ascend, and DeepSeek’s pivot toward domestic hardware signal a widening East‑West tech contest and renewed talk of decoupling. In this context, OpenAI announced a 50‑million fund to accelerate AI use for education, healthcare, and opportunity, framed as shared responsibility for social good. On the job front, a Stanford study found 16% fewer entry‑level roles for 22‑ to 25‑year‑olds, suggesting early disruption that could reshape careers while blue‑collar and technical tracks adapt through human‑machine collaboration.

Generative Now

Dr. Olga Russakovsky: Shaping the Next Generation of AI Leaders
Guests: Dr. Olga Russakovsky
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Gen AI is reshaping not just the technology, but who gets to shape it. Olga Russakovsky, a Princeton associate professor and associate director of the Princeton AI Lab, has built a career at the intersection of theory, systems, and real‑world impact. A co‑founder and board chair of AI4ALL, she has helped broaden access to AI and leadership opportunities. Her early work helped spark the ImageNet revolution, and today she balances building vision systems with studying their fairness, explainability, and societal implications. Her conversation traces a arc from theoretical machine learning toward applied computer vision, a field she describes as understanding pixels and scenes—from autonomous vehicles to photo tagging, medical diagnostics, agricultural monitoring, and even space robotics. She notes that the diffusion models now reshaping generative AI have become part of computer vision, enabling both image understanding and generation. In her lab, this duality drives ongoing work on diffusion methods while also probing how these systems can be evaluated, controlled, and trusted. Beyond technology, she emphasizes AI's social responsibilities. The Princeton AI Lab aims to recruit more students and faculty across disciplines, reflecting a shift toward interdisciplinary research that couples engineering with psychology, ethics, and policy. A fireside chat she and a co‑instructor will host with psychologist Molly Crocket is positioned to surface pitfalls of AI in scientific discovery—how it can speed up work yet risk narrowing the range of hypotheses. The conversation centers on balancing efficiency with room for creativity and surprise. At the heart of her work is AI4ALL, a nonprofit she co‑founded to diversify AI talent. She argues that a lack of diversity of thought threatens the field by limiting problem framing and values guiding development. AI4ALL Ignite offers a year‑long program for Black, Latinx, and Indigenous women and non‑binary students, pairing AI education with responsible‑AI training, portfolio projects guided by industry mentors, and career‑readiness workshops. The program aims to broaden access to opportunities and to cultivate a new generation of leaders with broader perspectives.

a16z Podcast

Mark Zuckerberg & Priscilla Chan: How AI Will Cure All Disease
Guests: Priscilla Chan, Mark Zuckerberg
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Priscilla Chan and Mark Zuckerberg discuss the Chan Zuckerberg Initiative's (CZI) ambitious mission to cure, prevent, and manage all disease by the end of the century. Priscilla, a pediatrician, realized the limitations of current medical knowledge, especially for rare diseases, highlighting the critical need for advancements in basic science. Mark clarifies that their strategy isn't to directly cure diseases but to accelerate the pace of scientific discovery by building foundational tools, a niche often overlooked by traditional government funding which favors shorter-term projects. CZI focuses on long-term, expensive tool development, such as those costing hundreds of millions to a billion dollars over 10-15 years. The core of CZI's scientific philanthropy is the Biohub, which uniquely integrates frontier biology with advanced AI. A key example is the Cell by Gene atlas, initially an annotation tool for single-cell data that evolved into a widely adopted, community-driven open-source resource due to its standardized format. The current major focus is on developing 'virtual cell models' using AI, including large language models and early reasoning models. These models aim to simulate complex biological processes, from proteins to entire immune systems, allowing scientists to test riskier hypotheses computationally (in silico) before committing to costly and time-consuming wet lab experiments. CZI's organizational approach emphasizes interdisciplinary collaboration, bringing biologists, engineers, and AI experts together in Biohubs located near leading universities. They also provide large-scale compute resources (GPU clusters) to the broader scientific community, fostering external collaborations. This model encourages a shift towards precision medicine, where treatments are tailored to individual biology rather than broad classifications. The founders express that while CZI initially explored various philanthropic areas, science research consistently yielded the greatest impact, leading them to double down on the Biohub. They believe that with the rapid advancements in AI, their ambitious goal of accelerating disease understanding and prevention can be achieved significantly sooner, empowering a new wave of scientific innovation and drug discovery.
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