
Chief Academic Officer at Keystone Center for Innovation and Teacher Education (KCITE). Scientist and Educator @UMassAmherst @societyandai
Hyderabad, IN
Joined June 2008
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Sai Gattupalli, Ph.D. retweeted
When AI can polish any essay, what should a grade measure? Marvin Starominski-Uehara's new Society & AI piece makes the case for grading the trace: open weekly work peers can see, with the exam as confirmation, not verdict.
societyandai.org/perspective…
#AIinEducation #Assessment
Mathematician Terence Tao:
"we're seeing the end of the romantic era of mathematics, the age of heroes. we're moving into an industrial era where math becomes large-scale, done in big teams like the other sciences"
We're entering, rather unwillingly, a new era where exciting new things are possible, but some things are being lost
The ridiculous arguments by Ambani’s army of Internet shills make no sense
On the one hand, they say Starlink couldn’t possibly compete with the amazing low prices offered by Ambani’s de facto monopoly in India and then, in the same breath, they essentially claim that Starlink would be too strong of a competitor! This is absurd hypocrisy and hyperbole.
The reality is that competition would greatly benefit the average citizen in India by giving them more choices, as it always does. Ambani’s profits will be lower, but he is not going out of business. And, obviously, if Starlink is too expensive in India, no one will buy it, so SpaceX will need to make pricing affordable.
Something feels off with this chorus of “India’s internet is great and super cheap” … the data shows that Indian market is absolutely dominated by mobile. When they say it’s cheap and well connected factually this only applies to mobile usage.
This makes sense because a tower connects thousands of subs instantly after construction and running fiber is a building by building or resident by resident job. This is also why “fixed wireless” has started growing fast. Follow the incentives. It’s the cheapest and shortest route to revenue.
Due to this, India is amongst the highest mobile bandwidth usage populations on the planet. 30-40GB/month. (20-50% above US/UK usage) However, home Fiber lines in India pull closer to 300GB/month. 10x gap
For context, that gap in the US and UK is 20-30x. It’s pretty ubiquitous that if you have access to a lot of more bandwidth you will use it.
Bandwidth abundance does not favor mobile devices.
I’d argue that it’s not very hard to believe that these paltry sub 5% fixed customer penetration numbers would be much higher if a cost effective alternative existed.
Is that alternative existed it wouldn’t be crazy to expect to see the fixed customer numbers jump from 6% to maybe 10%, 15% or 20%. 100M-200M customers.
And if the rest of the world is any precedent that would lead to a dramatic increase in overall bandwidth used.
However, that would mean that mobile bandwidth usage would likely drop or stagnate with in home mobile usage.
Dear Prime Minister Ambani,
Please accept my humble apologies for not realizing that you are the real boss of India.
Naturally, you would prefer to maintain your monopolistic exploitation of the great people of India, but would you nonetheless consider allowing Starlink to compete?
There are many areas of India, as there are in all countries, with no Internet access, which denies children the opportunity for education and for small businesses the opportunity to sell their goods to a global market. Starlink would change their lives for the better.
Thank you 🙏
Sai Gattupalli, Ph.D. retweeted
Schools plan in years, universities in semesters. AI models now arrive in weeks.
Education cannot chase every release. It can teach learners to steer any of them.
New essay, with an interactive two-clock opening: societyandai.org/perspective…
#AIinEducation #HigherEd #EdPolicy
Sai Gattupalli, Ph.D. retweeted
Altman and Amodei told the UN that no lab or nation can manage AI alone. I believe them, and it worries me: the schools that must prepare people for this are the least ready. What should they be doing now?
societyandai.org/opinion/un-…
Sai Gattupalli, Ph.D. retweeted
Japan's new AI-in-education guidelines teach teachers "how" to use AI, but never "whether" a lesson needs it. New essay by @templeunivjapan's Marvin Starominski-Uehara on why that gap matters, backed by a 27,000-student study on time-to-mastery.
societyandai.org/perspective…
#Japan
Sai Gattupalli, Ph.D. retweeted
What happens to curiosity when every question has an instant answer?
Dr. Rochna Roy's new Society & AI essay traces a quiet shift: students with more knowledge at their fingertips than ever, and less patience for sitting with uncertainty.
Open access: societyandai.org/perspective…
Sai Gattupalli, Ph.D. retweeted
Should students learn to build AI agents before learning to govern what those agents can do? @Gleb_Tsipursky 's new @societyandai piece makes the case for authority literacy first.
Read in open access: societyandai.org/perspective…
#AIEducation #AgenticAI #Education
Sai Gattupalli, Ph.D. retweeted
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
You can read the full post here: darioamodei.com/post/we-must…
2026 Open Education Award for Excellence Nominee:
I am deeply grateful to Open Education Global for this recognition. Open education reminds us that knowledge grows when shared and made accessible. Thank you to everyone who has encouraged my efforts.
#OpenEducation #OER
Sai Gattupalli, Ph.D. retweeted
By 2030, AI data centers could out-consume all but five nations on Earth — the UN Secretary-General said so this June. Our new piece: why a single watt-hour figure isn't honesty, it's curation.
societyandai.org/perspective…
#AIEthics #ClimateCost @Cpoulomi07 @gsat
Sai Gattupalli, Ph.D. retweeted
1/2 Thanks Gavin for an especially thoughtful exchange. I don't usually spend much time on social media but I wanted to engage here because it really brings out the heart of an important conversation.
First, on regulation, I think that “either concentrate it in the hands of a chosen few companies and politicians via regulation or distribute it widely” is a false choice. I know that there’s a sort of Silicon Valley shorthand where regulation = regulatory capture = concentration of power, but I’ve always found this to be an overly simplified picture of the world. Many people outside this bubble think of regulation as something that constrains corporate power and benefits ordinary people. I don’t necessarily agree with that perspective either, rather I think it’s complicated and really depends on what the “regulation” consists of. But in particular I think that those in the “regulation = regulatory capture = concentration of power” frame often underrate the decentralizing power of objective and fair institutional processes. A crude analogy is that the formal court system can sometimes feel stuffy and elitist, but it does a much better job of defending the rights of vulnerable individuals than the alternative, mob justice. At their best, institutions can vest power in ideas rather than people, and thereby decentralize that power.
This is why Anthropic has always made its policy proposals very carefully. We try very hard to make proposals that disadvantage (slow down) frontier AI companies while *advantaging* smaller competitors. California’s SB53 (which we supported), and even the much-maligned SB 1047 (which we were ambivalent on), completely exempt any company below a certain amount of revenue or model training costs from being covered at all (it was $500M for SB 53, lower for 1047 but we objected to that). More recently the testing process we’ve advocated for at CAISI and the White House involves more rigorous tests for frontier models than off-frontier models — something that differentially advantages challengers. Similarly, the “Pacing the Frontier” letter envisions (or at least Anthropic’s preferred implementation of it envisions) modulating the pace of the very best models while not constraining those who are catching up. This hurts the business interests of the frontier labs and helps challengers, including open-weights!
Overall my view is that AI is *structurally* a technology that tends to concentrate power, for reasons that have nothing to do with regulation (more to do with the extreme implications of the scaling laws). Open-weights do help some with this but are nowhere near a sufficient solution because they simply shift the concentration somewhat to those with the most compute and chips (which are roughly the frontier labs plus maybe hardware providers). By contrast I think the right “rules of the road” can simultaneously (a) address AI’s cyber/bio/alignment risks, (b) institutionally constrain the power of the frontier AI companies, and (c) leave room for open-weights models while also addressing the specific risks that they bring.
BTW I do not think that the events of the last few months have “failed to result in [my] preferred regulatory path”. The approach that the Trump administration is reported to be taking — pre-deployment testing for frontier models, and also testing of open-weights models when they get closer to the frontier — is one that I am very supportive of, though of course I have to see the details to be sure. I am also supportive of Demis Hassabis’ ideas around a FINRA-like entity. This contrasts with six months ago when most of the industry was still pushing for preemption of all state regulation and no apparent federal approach either.
Replying to @_sholtodouglas
Sholto, thank you for setting the record straight. Larger issue is that multiple very serious people in Silicon Valley have heard some variation of this and believe it to be true. And the reason it is believable to so many is that it is consistent with Dario’s public messaging and what he outlined in the essay you shared: this technology *might* be dangerous for humans in multiple ways, could lead to extreme concentration of economic power (as outlined in the essay) and therefore needs to be regulated thoughtfully. I agree with the potential risks and I believe Dario makes all of these arguments in good faith.
As discussed on the pod, if one agrees that AI *might* be dangerous, there are two ways to address this potential risk. Either concentrate it in the hands of a chosen few companies and politicians via regulation or distribute it widely. Essentially boils down to whether one believes AI is too dangerous to concentrate or too dangerous to distribute. There are reasonable arguments on both sides, but I profoundly agree with Zuckerberg’s statement that: “The notion that AI is so dangerous that the only safe path is an extreme concentration of power seems inherently problematic. Historically, hoping that an absolute power will benevolently provide for humanity if sufficiently enlightened has not led to safe or positive outcomes.” And as Dario says in the aforementioned essay, “some may object that we can simply keep AIs in check with a balance of power between many AI systems, as we do with humans.” I believe this is the best path forward: I want as many AIs as possible to maximize the odds that one shares my own particular values. And as Dario notes, no human has ever been able to take over the world.
At this point, I think safe to say that Dario has lost the argument. His messaging has failed to result in his preferred regulatory path. The fact that the only solution to the recent incident where an unreleased advanced OpenAI model hacked Hugging Face was an open-source model likely ended any chance of strict near-term regulation. Essentially every major company other than Anthropic has signed Jensen’s letter.
However, Dario’s messaging has been massively helpful to efforts to ban datacenters here in America. I suspect we will see anti-datacenter advocacy groups runnings ads using clips of Dario warning about how dangerous AI could be for humans. His good faith efforts in favor of regulation are now increasing the odds that AI will not be beneficial for Americans and humans everywhere. I believe that there is a reasonable chance AI might help us cure most forms of disease such that we have extended lifespans and can enjoy these long lives in an abundant Star Trek like future. That is the future that I want and I think Dario is decreasing the odds of that future at this point.
He is about to be the CEO of one of the most important public companies in the world and given that the pro-regulatory effort has failed (at least for now), I respectfully think he should make an effort to be a more positive advocate for his own industry. And if I am wrong and we do need to regulate this technology, he will be a more effective advocate for this in the future having been open-minded to the alternative.
And for the sake of clarity and as I outlined on the pod, I think Anthropic has deep competitive advantages and is an amazing company. Ironically, the main risk I saw to Anthropic a few months ago was nationalization as a result of Dario’s own rhetoric and behavior.
I'll be one of six presenters at EDUCAUSE's TL Snapshots: AI Practices for Learning, Aug 24. AI is entering classrooms faster than the norms meant to guide it. I'll share how Society & AI @societyandai builds that missing infrastructure. Join us: events.educause.edu/webinar/…
Sai Gattupalli, Ph.D. retweeted
Introducing the Academy of Society & AI: a digital library of interactive games, available now for K-12, with explainers, classroom kits, family activities, and community voices coming soon. Our scientific and social responsibility.
societyandai.org/academy/
#Education #Society
Sai Gattupalli, Ph.D. retweeted
Así es como Google documentó accidentalmente el pasó de la vida a través de los años…
La vida es corta, relájate y disfrútala!
Sai Gattupalli, Ph.D. retweeted
🚨 James Webb Space Telescope has captured the Sombrero Galaxy in extraordinary detail.
Sai Gattupalli, Ph.D. retweeted
‼️ BREAKING: An active npm supply chain attack has compromised at least 868 packages carrying over 2 billion monthly installs with a credential-stealing worm. Shai-Hulud is back.
It started with the compromise of the GitHub account of the maintainer behind keyv, a library with roughly 127 million weekly npm downloads.
A preinstall hook fires on npm install and drops a stealer that sweeps npm, GitHub, AWS, Kubernetes and Vault secrets, and then spreads to more maintainers.
Sai Gattupalli, Ph.D. retweeted
Releasing the model weights and technical report of Kimi K3.
Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window.
New model architecture: 2.5x the intelligence per unit of compute, not just more params.
Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale.
Model weights: huggingface.co/moonshotai/Ki…
Tech report: github.com/MoonshotAI/Kimi-K…
Tech blog: kimi.com/blog/kimi-k3















