prof @Northeastern, media & tech, AIMES Lab, IIID, HuskyAI, Social Fact, Governing Babel

Boston
Joined February 2009
Harvard Business School has published a rare case study on Northeastern's 20-year transformation from a regional school into one of the most selective universities in the world. 🔗 Read about the case: news.northeastern.edu/2026/0…
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John Wihbey retweeted
And its a 3-way race again….
Introducing Gemini 4 Argon, our new frontier model, rolling out to cyber defenders starting today, and more widely as soon as possible. I am really excited by the progress we have made here. Argon is priced at $2 in and $10 out during introductory pricing!
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John Wihbey retweeted
With AlphaFold we mapped the protein universe - now with AlphaGenome Atlas we’re charting the human genome. It can predict the impact of all 9 billion possible single-letter DNA variants, helping scientists better understand disease. Freely available for academic research: alphagenome.google/atlas
We’re launching AlphaGenome Atlas: an AI-powered searchable database mapping the predicted impact of all 9 billion possible single-letter DNA changes. Here’s how it could help researchers better understand our biology 🧵
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John Wihbey retweeted
Today I’m launching the Center for Technology & Statecraft (CTS), an initiative inspired by the lessons I learned first as a policy researcher and later in the White House. I'm an optimist about technology. Institutions adapt to disruptions — whether the industrial revolution, computing, the internet — through competition, self-correction, and iteration, and we mostly figure it out in the long run. But we've never had to adapt to a technology that is both this transformative and developing this fast. AI capabilities continue to scale rapidly with no sign of slowing, and it's a full-time job just to keep up with model releases. I worry policy will stay reactive right up until we face immense disruptions — including basic challenges to human agency and relevance in a world of powerful AI. Even still, I believe policy can steer this transition, but only with foresight and the right information. CTS aims to provide just that. Our two initial policy focus areas: 1) How policy can shape virtual and physical automation over the next decade as we reimagine the social contract in light of advanced AI. 2) How to manage long-term strategic US-China AI competition while ensuring stability. These focus areas will build on a deep model of the AI value chain, from chipmaking tools, to the compute, algorithms, and data that make AI, to the tokens, agents and robots that affect the world. For more on our worldview and research philosophy, read techstatecraft.org/launch. I’ve seen firsthand how technical, forward-looking research can inform policy if it’s ready for the policy window. After a decade as an IP and tech lawyer, I joined a think tank, CSET, in 2019 to study AI chips, their supply chains, and AI policy. This was three years before ChatGPT, so these weren't seen as urgent topics at the time. Soon after, AI quickly became an increasingly salient policy issue. From 2021–2025 I served in the White House NSC and the Commerce Department and put new policy ideas into practice (alongside many brilliant colleagues). One goal of CTS is to scale this kind of experience to a whole team: @KonstantinPilz @nchlsbrwn @amelia__michael @mary_clare_m already bring a wealth of technical and policy expertise and we’ll continue to grow to tackle an ambitious research agenda. We're thrilled to be supported by and affiliated with @IFP, and grateful to the advisors and colleagues who helped get CTS off the ground, including @ohlennart, @fiiiiiist, @AlecStapp, and @calebwatney. Our first major reports will launch soon. You can follow us at @techstatecraft.
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John Wihbey retweeted
How technological change produces constitutional rot. My latest on SSRN: papers.ssrn.com/sol3/papers.…
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A real highlight for me this year! Thank you again @yaleisp
Catch up on a conversation from last semester’s ISP Law & Technology Speaker Series. Watch “AI and Social Media: Global Perils and Governance Possibilities” with @wihbey (@Northeastern), now available on our YouTube channel. 🎥 youtube.com/watch?v=AWWXSfpM…
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John Wihbey retweeted
Replying to @OpenAI
@OpenAI’s Econ team have been releasing excellent research on how people use AI throughout the economy. This piece on how AI is changing what people do at work is particularly important for understanding labor market transformation. @RonnieChatterji @Alex_M_Richmond and @caroline_m_chin should have way more followers.
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John Wihbey retweeted
Our new essay out in @NoemaMag today! We know how to make AI more capable. We have barely begun on the harder problem of preparing society to absorb it. Alignment is two-sided. We call the neglected side reverse alignment. noemamag.com/what-humanity-n… Neglect it and you get three failures: 1. Productivity without prosperity. 2. Execution without verification. 3. Capacity without constraint. Each is a consequence of institutional neglect, not of the technology. History says this is solvable. The Progressive Era, Bretton Woods, ARPANET, India Stack, Taiwan's digital democracy. Every one paired technical change with institutional invention. None of them happened by default. The essay names the work required: personhood credentials, privacy past the anonymity binary, provenance, real markets for training data, trust between agents, democratic capacity, workplace redesign, research evaluation, labor transition. It is time to build as ambitiously for our social systems as we have for our algorithms. A 23-member coalition shaped this. Join us: reversealignment.ai/ Including: @glenweyl, @audreyt, @jakehirschallen, @vilasdhar, @stanfordmav, David Patterson (Berkeley), @TionaZuzul, @jessaroo, @deanwball, Romain Vakilitabar (Pathos/PopShift), @AndrewSorota, @Allinallnotbad, Chris White (Microsoft), @TomicahTD, Galen Hines-Pierce (Minerva), @BuchananBen, @ProfDavidDeming, @blaiseaguera, @divyasiddarth, @timoreilly, @kensuzuki, @annotakahiro24, @dsallentess, @zweinberg, @zhitzig
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The merger of @Northeastern and Marymount Manhattan College has been finalized, making Northeastern the first out-of-state university to provide a full suite of undergraduate programs in New York State. Read more: news.northeastern.edu/2026/0…
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John Wihbey retweeted
This is lovely. I had a fun conversation about vastness with a virtual William Sieghart which led to a beautiful reading of Keat's Endymion, and one about landscapes of memory and led to a reading of Hopkin's Windhover. We need more beautiful, humane demonstrations of AI.
Introducing Ode Poetry. Ode is a wonderful poetry pharmacy that reads you a poem for the moment you’re in. Just tell Ode what you're feeling, and it uses Microsoft AI audio models to connect you with the same work that poetry expert William Sieghart would recommend. The best technology doesn't replace human creativity, it helps more people experience it. Super proud of the team for making this truly humanist tool. More in the blog: microsoft.ai/news/ode-poetry…
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At the start of my research career I operated in a deadline-driven mode because that's what most researchers seemed to do. Gradually I discovered the value-driven way of working. I'm glad I had a supportive advisor who didn't make me chase deadlines. It took me 20 years to fully embrace the switch — it requires developing a long-term vision, willpower to create structure without deadline pressure, a theory of value, project management skills, good taste, the willingness to turn projects down, brutal honesty about whether our work is any good (even if it gets published), and a lot more. But there is no going back!
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John Wihbey retweeted
Dear followers, Please see this interview with Goldman Sachs on AI and jobs. How Will AI Impact the Labor Market? | Goldman Sachs goldmansachs.com/insights/go…
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John Wihbey retweeted
My new book, Journalism in the Age of AI, is free and open access — coming August 3. Read the opening chapter today and sign up for early access to the full version → journalismandai.com
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John Wihbey retweeted
How do we go from AGI to Superintelligence? New report discusses four potential pathways: scaling, AI paradigm shifts, recursive improvement, and ASI emerging from large-scale multi- agent collectives. Importantly, it also looks at possible frictions and bottlenecks along these pathways. Instant classic! arxiv.org/abs/2606.12683
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John Wihbey retweeted
APSA AI Task Force Report (DRAFT), cochaired by me and @j_a_tucker and including chapters by 60 social scientists, now available... to be published by Cambridge Press later this year apsanet.org/wp-content/uploa…
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John Wihbey retweeted
Every firm will need to reconceptualize work as they build agentic systems. As AI and agents take on more of the execution, the opportunity is to expand human agency and redesign how work gets done. An in-depth look from the team at what this shift means and key considerations for every business: microsoft.com/en-us/worklab/…
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John Wihbey retweeted
LLMs can match human accuracy in fact-checking, but media experts still find them less useful—especially when they aren't told the source. Our new #CHI2026 paper, "Beyond Accuracy," explores this critical gap between technical accuracy and practical utility for human experts. 📅 Catch our talk TODAY: Thu, 16 Apr | 9:12 AM - 9:24 AM 🔗 Read the paper here: dl.acm.org/doi/10.1145/37723…
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John Wihbey retweeted
This Report of the Yale Committee on Trust in Higher Education is well-worth reading in full. I hope my colleagues will take these recommendations seriously president.yale.edu/sites/def…
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