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lee-benjaminc.bsky.social

@lee-benjaminc.bsky.social
29 followers 11 following 68 posts
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 26/02/2026
Connected with @newscientist about feasibility, timeline for orbital datacenters. Some form of orbital computing is possible and natural progression given low-cost launches and constellations of communication satellites. www.newscientist.com/article/2509...
newscientist.com
Putting data centres in space isn't going to happen any time soon
From massive solar panels to the difficulty of staying cool - not to mention high-energy radiation - there are a lot of engineering problems that need to be solved before we can build data centres in ...
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 26/02/2026
Spoke with Libération about interest in orbital datacenters among tech executives. The vision is compelling due to solar energy, no land and water constraints. But challenges include radiation hardening, thermal management, and launch costs at scale. www.liberation.fr/economie/eco...
liberation.fr
Des data centers en orbite ? Le plan sur la comète des patrons de la tech
Face aux besoins en eau et en énergie de l’IA, ils rêvent d’envoyer des centres de données dans l’espace pour profiter de la proximité du Soleil et du froid sidéral. Un projet moins futé qu’inquiétant...
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 10/02/2026
Joined Ira Flatow on @scifri.bsky.social to discuss orbital datacenters — physics, economics, and sustainability. Solar exposure makes space-based computing appealing, but launch costs, radiation hardening, and thermal management in vacuum remain challenges. www.sciencefriday.com/segments/inf...
sciencefriday.com
Secrets Of Ancient Concrete, And... Data Centers In Space?
What can we learn from a Pompeii construction site preserved in ash? Plus, tech companies look to build solar-powered data centers in space.
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 10/02/2026
Connected with @shaylekann.bsky.social in episode of @latitudemedia.bsky.social Catalyst on edge computing. Will AI move to the edge? Depends on latency, model size, power. Inference close to users is sensible. But training will need gigascale datacenters. www.latitudemedia.com/news/catalys...
latitudemedia.com
Will inference move to the edge?
Shifting AI inference from hyperscalers to smaller edge data centers – and even consumer devices – could have big implications for energy.
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 03/02/2026
ASPLOS 2026 — Early Registration (Feb 4) The ACM International Conference on Architectural Support for Programming Languages and Operating Systems goes to Pittsburgh, Mar 22 — 26. www.asplos-conference.org/asplos2026/
asplos-conference.org
ASPLOS 2026 – ASPLOS 2026
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 09/01/2026
Delighted to share thoughts in @nytimes.com article on excitement around space datacenters. Industry is excited about orbital datacenters as a solution to AI’s energy demands. www.nytimes.com/2026/01/01/t...
nytimes.com
Even the Sky May Not Be the Limit for A.I. Data Centers
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 09/01/2026
Excited to contribute my perspective to @jeremyhsu.bsky.social's @sciam.bsky.social piece on orbital data centers. Sun-synchronous orbits offer near-constant solar exposure, addressing challenges around energy. www.scientificamerican.com/article/data...
scientificamerican.com
Space-Based Data Centers Could Power AI with Solar Energy—At a Cost
Space-based computing offers easy access to solar power but presents its own environmental challenges
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 08/01/2026
I recently shared perspective with Christine Ji at MarketWatch on ChatGPT’s recent anniversary and the evolving AI landscape. www.marketwatch.com/story/as-cha...
marketwatch.com
As ChatGPT turns 3, here’s what’s crashing the party
OpenAI sits at the center of the AI boom that it started. But it faces increasing challenges around both the business and the technology itself.
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 28/11/2025
I recently joined @AliVelshi on MSNBC to discuss how AI is reshaping electricity costs for American households. Most people are already using AI whether they realize it or not. www.ms.now/ali-velshi/w...
ms.now
AI scientists can’t optimize worsening energy efficiency: Why behind-the-scenes AI is costing you
AI is booming right now and it’s causing utility costs for everyday consumers to reach unprecedented highs. “There is increasing deployment of AI technologies behind the scenes, and that is definitely...
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 28/11/2025
It was a privilege to speak at the Johns Hopkins Data Science and AI Institute (DSAI) Fall 2025 Symposium: “AI in Daily Life.” We must rethink the infrastructure powering the tech that promises to change the way we live and work.
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 28/11/2025
At the INFORMS Annual Meeting earlier this semester, I spoke on sustainable datacenters for AI. We take a holistic approach to infrastructure for datacenters, accounting for energy generation and storage.
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 04/11/2025
With Smithsonian Magazine, I discuss how AI training and inference drive energy use. Sustainable computing requires carbon-efficient energy as well as models that deliver responses with fewer calculations. www.smithsonianmag.com/science-natu...
smithsonianmag.com
A.I. Is on the Rise, and So Is the Environmental Impact of the Data Centers That Drive It
The demand for data centers is growing faster than our ability to mitigate their skyrocketing economic and environmental costs
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 04/11/2025
Spoke with @marketwatch.com on AI and nuclear power. AI will consume hundreds of TWh annually. From my work on efficient computing, intermittent renewables alone are insufficient for gigascale datacenters. Nuclear is essential part of solution space. www.marketwatch.com/story/forget...
marketwatch.com
Forget chips: The next battleground in the U.S.-China AI race is nuclear power
The race for AI supremacy is quickly becoming a race for energy supremacy. As the U.S. lags China in nuclear development, both the government and Big Tech are making a massive new push to close the ga...
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 21/10/2025
The University of Pennsylvania's Department of Electrical and Systems Engineering invites applications for tenure-track faculty positions at all ranks in computer engineering and photonics/electromagnetics. Review begins December 1, 2025. Apply: apply.interfolio.com/173259
apply.interfolio.com
Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 09/10/2025
I spoke with @marketwatch.com on the massive Oracle-OpenAI deal and potential for investment bubble in AI datacenters, a critical issue as industry pours capital in infrastructure. Datacenters are built for uncertain demand and is, by definition, risky. www.marketwatch.com/story/why-th...
marketwatch.com
Why the $300 billion Oracle-OpenAI deal could be fueling an AI bubble
Big Tech’s AI capital expenditures are soaring, which raises the risk companies are overbuilding infrastructure before it can be monetized. That’s a trend one expert calls a “risky gamble.”
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 09/10/2025
I shared perspectives with @wired.com and @sophiecharara.bsky.social on relationship between AI and sustainability. AI may increase refresh rates for consumer electronics, which are poorly utilized and emit carbon during manufacture. Hurdles for sustainability. www.wired.com/story/apples...
wired.com
Apple’s AI Ambitions Leave Big Questions Over Its Climate Goals
Halfway to its 2030 net-zero goal, Apple faces slow and hold-out suppliers, a tariffs scramble, and an AI race that could profoundly impact eco-friendly ambitions.
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 20/08/2025
Thrilled to co-host a recent workshop with Arthur van Benthem at Wharton. We convened an exceptional, multi-disciplinary group to tackle these issues. While challenges are significant, opportunities for innovation are immense. impact.wharton.upenn.edu/news/sustain...
impact.wharton.upenn.edu
Sustainable Computing: Can AI Be Energy Efficient?
How can data centers, with their voracious power demands, be energy efficient? How can data centers, with their voracious power demands, be energy efficient? Who regulates these facilities and under w...
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 16/08/2025
Excited to contribute to @engadget.bsky.social's coverage of OpenAI's open-weight LLMs, their first in six years. Sharing learned weights enables developers to use and fine-tune models without needing hyperscale infrastructure, lowering barriers to innovation.
engadget.com
OpenAI's first new open-weight LLMs in six years are here
For the first time since GPT-2 in 2019, OpenAI is releasing new open-weight, large language models.
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 14/08/2025
I shared thoughts with CACM on how smarter job scheduling can reduce AI datacenter carbon. cacm.acm.org/news/putting...
cacm.acm.org
Putting Carbon on the Clock – Communications of the ACM
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 14/08/2025
It was a pleasure joining @cherrigregg.bsky.social and @avi-wa.bsky.social, hosts of @whyy.org Studio 2, and @cademetz.bsky.social on a podcast "Should we welcome AI datacenters?" We discussed unprecedented growth in AI infrastructure. A few key insights. whyy.org/episodes/sho...
whyy.org
Should we welcome AI data centers? - WHYY
Tech companies are building huge data centers to power their AI supercomputers that use enormous amounts of energy. What does this mean for consumers and the environment?
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 11/08/2025
I spoke with IT Brew about new datacenters coming to Pennsylvania and what it means for jobs. While new construction jobs and some tech roles are positive, datacenter operations are automated and the jobs picture is complex. The economic impact requires further study. www.itbrew.com/stories/2025...
itbrew.com
What Amazon’s data center investment in Pennsylvania could mean for jobs
Amazon’s planned data centers won’t make the state an automatic tech hub, according to UPenn professor Benjamin Lee.
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 05/08/2025
I spoke with CBS News about energy for AI and why Pennsylvania is at the center of it. AI datacenters are scaling with AI models, drawing gigawatts of power and putting pressure on energy infrastructure. www.cbsnews.com/pittsburgh/n...
cbsnews.com
Trump promised to make Pennsylvania an AI hub, but how will it be powered?
Some of the investments promised during the AI and energy summit​ on Tuesday at Carnegie Mellon University included AI data centers, which can require massive amounts of energy to run.
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 05/08/2025
AI datacenters are expanding rapidly and so are their energy demands. I recently contributed to an AP news piece, examining how this growth is reshaping our energy infrastructure. apnews.com/video/trumps...
apnews.com
Trump's AI plan calls for massive data centers. Here's how it may affect energy in the U.S.
Massive amounts of electricity are needed to support the complex servers, equipment and more for AI.
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 02/07/2025
Powering AI will require a holistic energy strategy given the technology’s unprecedented demand.
wabe.org
Tech companies planned to use solar to power Georgia data centers. AI is changing that
Tech companies built and planned to solar farms all over Georgia to power their data centers. But AI demanding more.
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 02/07/2025
Interesting to see broader public interest in neural processing units, which are finding their way into consumer electronics.
penntoday.upenn.edu
What is an NPU? A Penn expert explains | Penn Today
Benjamin C. Lee, a professor of electrical and systems engineering, explains what a neural processing unit (NPU) is and why it matters in the age of artificial intelligence.
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 02/06/2025
The National Academies has published proceedings from its workshop on AI and electricity. Chairing this workshop was a unique opportunity to synthesize connections between AI, datacenters, energy systems, and local communities. www.nationalacademies.org/event/43750_...
nationalacademies.org
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 29/05/2025
Specializing AI models for particular application domains will improve efficiency and we have technical strategies (e.g., distillation, fine-tuning, experts) to do this. But what domains should we target? See NPR Short Wave for more! www.npr.org/2025/05/09/1...
npr.org
How tech companies could shrink AI's climate footprint : Short Wave
Google, Microsoft and Meta have all pledged to reach at least net-zero carbon emissions by 2030. Amazon set their net-zero deadline for 2040. To understand how these four tech companies could possibly...
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 23/05/2025
I had the pleasure of co-advising Haiyang Huang's studies at Duke. With Meta, our NeurIPS’24 paper characterizes Mixture-of-Expert models and improves inference efficiency. Congrats Dr. Huang! hyhuang00.github.io www.seas.upenn.edu/~leebcc/docu...
seas.upenn.edu
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 23/05/2025
I am delighted to have served on August Ning’s committee at Princeton. He has started timely discussions in computer architecture and public policy— energy efficiency, export controls, environmental sustainability. Congratulations Dr. Ning!
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 22/05/2025
We studied renewable energy, batteries for sustainable computing in 2023, but Meta’s datacenters were “only” using tens of megawatts at the time. Datacenters that use many hundreds of megawatts compel operators to look at more holistic solutions. www.datacenterdynamics.com/en/analysis/...
datacenterdynamics.com
Welcome to Gas Land - how natural gas is powering the US AI boom
As AI drives increasing energy consumption in the US, natural gas looks set to fill the gap
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lee-benjaminc.bsky.social @lee-benjaminc.bsky.social · 22/05/2025
AI is resource intensive because we are exploring new capabilities at scale. When an app changes how we live and work, I expect we will turn our collective effort to optimizing performance and efficiency. Check out NPR Short Wave for more!
npr.org
Why the true water footprint of AI is so elusive : Short Wave
By 2028, Lawrence Berkeley National Laboratory forecasts that U.S. data centers could use as much as 12% of the nation's electricity. The reason: generative AI. Since 2022, AI innovation by four leadi...
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