Adji Bousso Dieng is founder of the Vertaix research lab at Princeton University and co-PI of the National Science Foundation Institute for Data-Driven Dynamical Design. She is founder of The Africa I Know, a nonprofit that supports STEM education for young Africans.
“In 2026, we should stop treating diversity merely as a secondary evaluation metric and start treating it as the primary mathematical engine for discovery. If we make this shift, AI will cease to be just an imitator of human knowledge and become a true partner in expanding it.”
AI efficiency is important. Today, Google is sharing a technical paper detailing our comprehensive methodology for measuring the environmental impact of Gemini inference. We estimate that the median Gemini Apps text prompt uses 0.24 watt-hours of energy (equivalent to watching an average TV for ~nine seconds), and consumes 0.26 milliliters of water (about five drops) — figures that are substantially lower than many public estimates.
At the same time, our AI systems are becoming more efficient through research innovations and software and hardware efficiency improvements. From May 2024 to May 2025, the energy footprint of the median Gemini Apps text prompt dropped by 33x, and the total carbon footprint dropped by 44x, through a combination of model efficiency improvements, machine utilization improvements and additional clean energy procurement, all while delivering higher quality responses.
See the blog or technical paper for more about our methodology and ongoing efforts.
Blog:
https://t.co/CoMm5gV9SR
Link to detailed paper: https://t.co/UBi9rd6gEC
Our computer vision textbook is now available for free online here:
https://t.co/ERy2Spc7c2
We are working on adding some interactive components like search and (beta) integration with LLMs.
Hope this is useful and feel free to submit Github issues to help us improve the text!
“The more light we can shine on what AI really is and isn’t, the harder it will be for legislators to pass laws based on science fiction rather than science” - on the veto of SB1047 #TheBatch@DeepLearningAI
⚡️ Excited to share that I am starting an AI+Education company called Eureka Labs.
The announcement:
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We are Eureka Labs and we are building a new kind of school that is AI native.
How can we approach an ideal experience for learning something new? For example, in the case of physics one could imagine working through very high quality course materials together with Feynman, who is there to guide you every step of the way. Unfortunately, subject matter experts who are deeply passionate, great at teaching, infinitely patient and fluent in all of the world's languages are also very scarce and cannot personally tutor all 8 billion of us on demand.
However, with recent progress in generative AI, this learning experience feels tractable. The teacher still designs the course materials, but they are supported, leveraged and scaled with an AI Teaching Assistant who is optimized to help guide the students through them. This Teacher + AI symbiosis could run an entire curriculum of courses on a common platform. If we are successful, it will be easy for anyone to learn anything, expanding education in both reach (a large number of people learning something) and extent (any one person learning a large amount of subjects, beyond what may be possible today unassisted).
Our first product will be the world's obviously best AI course, LLM101n. This is an undergraduate-level class that guides the student through training their own AI, very similar to a smaller version of the AI Teaching Assistant itself. The course materials will be available online, but we also plan to run both digital and physical cohorts of people going through it together.
Today, we are heads down building LLM101n, but we look forward to a future where AI is a key technology for increasing human potential. What would you like to learn?
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@EurekaLabsAI is the culmination of my passion in both AI and education over ~2 decades. My interest in education took me from YouTube tutorials on Rubik's cubes to starting CS231n at Stanford, to my more recent Zero-to-Hero AI series. While my work in AI took me from academic research at Stanford to real-world products at Tesla and AGI research at OpenAI. All of my work combining the two so far has only been part-time, as side quests to my "real job", so I am quite excited to dive in and build something great, professionally and full-time.
It's still early days but I wanted to announce the company so that I can build publicly instead of keeping a secret that isn't. Outbound links with a bit more info in the reply!
Just had my first cultural shock in the Netherlands, discovering that the “individualism” rate in this country is 100%, scoring way higher than all the Scandinavian countries, Germany, Iceland, etc, https://t.co/uhjZTc2sav
thank you @JoyceOverheul for reposting. this is a great work you have done, I wonder how many people actually grasp all details in here, mesmerizing piece of art.