TIFR-CAM, Bangalore

India
Joined March 2011
Praveen C retweeted
"Don't think for a second that because you are an 'alarmist' that you are doing a social good." Amen.
.@JensenHuang is a national treasure 🫡
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Praveen C retweeted
Simon Maechling
@simonmaechlingSep 24
I’m a scientist. I need to say this because the AI hype is getting ridiculous. AI can design a molecule in seconds. That doesn’t mean it discovered a drug. It discovered something we scientists have never been short of: Something to test. Someone still has to make it. Run the experiment. Measure whether it works. Check whether it’s toxic. And ultimately prove it works in the real world. AI hype tells us: “Prediction is discovery.” “Simulation is experimentation.” “Generating a molecule is developing a drug.” It isn’t. AI is making ideas incredibly cheap. But every new idea creates something AI cannot generate: Evidence. And the more hypotheses AI produces, the more experiments we’re going to need. That’s the irony nobody seems to be talking about. AI may not make laboratories obsolete. It may make them more valuable than ever. You can speedrun the thinking. You can’t speedrun reality.
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This article is lacking. The journalists should have actually investigated how "AI" found these curves. As it turns out and as we now know, they just used a lot of computing power to push the known construction and method of Elkies and Klagsbrun. xitter.cf/mathandcobb/status/210…
Experts have spent decades hunting for a special class of ever more complex elliptic curves. The last breakthrough took mathematicians 18 years—now an AI has discovered the two most complicated curves yet in just days. spklr.io/6017ETdpt
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Praveen C retweeted
« Plus vous mettez de l’effort à surmonter le problème, plus vous êtes heureux » : Cédric Villani appelle les doctorants à ne pas utiliser l’IA générative ➡️ l.leparisien.fr/kzwt
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Praveen C retweeted
Started seeing this IISC professors viral video where he starts by saying “did you see MIT study of agents where they started to cheat” and then says that is AGI. I cannot ,for the life of me, believe that a professor in class says this and it is viral and then I understand why Dhruv Rathee is Indias biggest AI expert.
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Praveen C retweeted
The entire conversation about the dangers of building superintelligence (not a hypothetical one, but the one that will soon emerge from LLM scaling) is so ridiculous to me that I really wish I didn't know that this conversation is happening and people with some reputation in tech and science are seriously participating in it. There's not a single indication that LLMs can be significantly improved beyond cases with verifiable rewards, which currently include only two: math derivations and coding. Maybe math and coding are what *you* do most of the time at work, but it's not even one percent of what *people* do for a living! How can so many educated people be so narrow-minded?! It blows my mind.
Dario has written that we need to “pace the frontier,” and Sam has agreed. People may be surprised by my response: go ahead. You guys are the frontier. By any reasonable metric — market share, revenue growth, model capability — the two of you have a duopoly on frontier intelligence. You’ve also claimed the lead is widening because of recursive self-improvement. I don’t see what you see in the lab. If the unreleased models are scary enough that you think you should slow down, I support your decision to be responsible. But stop pretending you need anyone else’s permission. Stop pretending antitrust law has to be suspended so you can form a cartel. Stop pretending you need a regulatory approval process that supersedes product liability. Stop pretending METR is independent when it is intertwined with Anthropic’s investors and staff. Stop pretending you need those same evaluators to police competitors who aren’t even at the frontier. Most of all, stop pretending the motivation to slow down is purely altruistic. You face massive product-liability exposure if your products enable a truly damaging cyberattack. The market already punishes models that behave in unpredictable or unauthorized ways. After the Hugging Face episode, it is simply good business for OpenAI and Anthropic to trade some raw power for reliability and predictability. Call it alignment if you want. It is also just giving customers what they want. Pacing the frontier would also create breathing room for a more intelligent conversation about regulation than Bernie Sanders’ “shut it all down.” China is very unlikely to join a global agreement, as you know, and that has to be taken into account as well. So go ahead and pace the frontier. You are the ones setting it. The easiest way not to build superintelligence is for you to agree not to build it. Demanding your preferred regulatory framework as the price of that will look like blackmail of the public and the political system. So just do it. If you do, you’ll buy goodwill for the next conversation. If you don’t, we’ll know this was just another bid for regulatory capture — or an election-season psyop.
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24 Fields Medalists speak out against "A Severe Misalignment of AI in Mathematics" mathandai.org/
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Praveen C retweeted
I can make you see colours that don’t exist!
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Today, we’re proud to announce the release of Chapel 2.8! Its highlights include improvements to Chapel’s tools ecosystem, as well as some nice advances in portability and performance. For details, please see: chapel-lang.org/blog/posts/a…
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In the 1940s, Subrahmanyan Chandrasekhar was committed to his teaching role at the University of Chicago, despite being based at the Yerkes Observatory. Each week, he traveled 80 miles to teach a special course attended by only two students. The students were Tsung-Dao Lee and Chen-Ning Yang. They proved their mentor's faith was well-placed when they both won the Nobel Prize in Physics in 1957, years before Chandrasekhar received the same honor in 1983. Remarkably, this course went down in history as the only one where every attendee received a Nobel Prize, underscoring the extraordinary impact of Chandrasekhar's dedication and teaching. 📷 AIP Emilio Segrè Visual Archives, Physics Today Collection
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Praveen C retweeted
🦔 A neuroscientist who testified before the Senate says US schools weren't broken until tech companies convinced them they were. Jared Cooney Horvath found that test scores in Utah started declining right when schools implemented mandatory digital infrastructure in 2014. The US has spent $30 billion putting laptops and tablets in classrooms since 2002. According to international data, more time students spend on computers correlates with worse scores, not better. Gen Z is the first generation to score lower than their parents on standardized assessments. Now the same cycle is repeating with AI. A Pew survey found more than half of US teens use AI for schoolwork. Teachers report students can't reason, think, or solve problems independently. Horvath argues that tools experts use to make their lives easier are not the tools students should use to learn how to become experts. My Take The "transfer problem" goes back to the 1950s. Students learn to master the tool but not the subject matter. Pressey and Skinner ran into this with teaching machines 70 years ago, and we're running into it again with AI. The tech changes but the outcome doesn't. I think Horvath has it right. Learning requires friction. You have to struggle with a problem to actually understand it. AI removes that friction, which feels like help but functions as dependency. An expert can use AI effectively because they already know enough to evaluate the output. A student using AI to skip the hard part never builds that foundation. We're watching an entire generation learn to operate tools instead of developing the skills the tools are supposed to augment. The productivity gains go to the platforms, not to the kids. Hedgie🤗
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Praveen C retweeted
Many college professors are discovering that students learn less when they have laptops open. Many of us are banning their use in class. Putting computers and tablets on students desks in K-12 may turn out to be among the costliest mistakes in the history of education
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Sir Roger Penrose argues that current AI is a misnomer because it lacks the one ingredient essential for true intelligence: Understanding. By applying the lens of mathematical logic, he explains that while machines are masters of following rules, the ability to understand why those rules work is a non-computational process. To Penrose, the leap from calculation to comprehension requires more than just better code; it requires Consciousness. At the fundamental level, intelligence isn't just data processing; it's the conscious awareness that gives meaning to the math. Credit: TheInstituteOfArtAndIdeas
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Praveen C retweeted
John Von Neumann Interview
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I'm pretty sure everyone at my company saw this article and now they all think we're in an AI crisis. We're not in an AI crisis. We use Claude to summarize Slack threads. But here's what's actually interesting: this whole panic reveals something nobody wants to admit. Every company in America has been bullshitting about their "AI strategy" for two years. We all saw the hype. We all knew we had to say something. So we rebranded our existing automation as "AI-powered" and called it a day. My company isn't special. We're all doing the same thing. The problem is now the executives actually believe their own bullshit. They think we have "significant AI exposure" because they've been telling investors we're "AI-first." I just got pulled into an emergency meeting. Six executives asking me to explain our "AI dependency matrix." There is no AI dependency matrix. There's Claude for meeting summaries, there's some sentiment analysis in our support tickets that came free with Zendesk, and there's whatever Gmail is doing when it autocompletes my sentences. But I can't say that in a room full of people who told their boards we're "transforming the business through AI." So I said we have "distributed AI touchpoints across multiple vendors with no single point of failure." Which is technically true. We use a bunch of different services that all have AI features we mostly ignore. The CFO asked if we should "hedge our AI exposure." I have no idea what that means. Neither does he. What am I going to do: nothing. Because in three weeks, Anthropic will say something reassuring, the stocks will recover, and everyone will forget this happened. But I'll have documentation showing I recommended a "risk assessment" that mysteriously never got prioritized. The funniest part is that half these executives probably don't even know what Anthropic is. They just saw "AI" and "crash" in the same headline. We're all pretending. The whole industry is pretending. And articles like this just remind everyone how fragile the pretending is.
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𝗔𝗡𝗥𝗙 | 𝗨𝗽𝗰𝗼𝗺𝗶𝗻𝗴 𝗖𝗮𝗹𝗹𝘀 𝗮𝗻𝗱 𝗞𝗲𝘆 𝗧𝗶𝗺𝗲𝗹𝗶𝗻𝗲𝘀 #ANRFIndia invites the research community to take note of the upcoming calls and key timelines & begin preparing accordingly.
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Plasma inside the ST40 fusion reactor, filmed in color for the first time xitter.cf/fluxfolio_/status/1979…
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Chapel’s November Newsletter is out! As with last year’s edition, this one features a special section for events at #SC25. It also has news from ChapelCon ’25, recent talks, articles, and other community events. chapel.discourse.group/t/cha…
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Apply to TIFR’s Graduate School 2026 for our MSc, PhD, and Integrated MSc–PhD programs. We invite eligible candidates to join our vibrant academic community & contribute to cutting-edge fundamental science research across disciplines. Know more: tifr.res.in/academics/gs_adm…
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