Reviving Darjeeling | @dorjeteas | Creating Abundance | @altcarbonindia | Making Progress | @altermagindia

Selim Hill, Darjeeling
The Age of AI demands planetary-scale Carbon Dioxide removal. @AltCarbonIndia is using volcanic rock dust to geochemically pull carbon out of the atmosphere — and we just proved it works at scale. The world's largest issuance of carbon credits through Enhanced Rock Weathering. ~10,000 tonnes of CO₂ removed. Enough to offset a small AI data centre. India has a history of scientific breakthroughs that stun the world — across medicine, space exploration, energy, & financial inclusion.🇮🇳 Climate Change is the most significant existential threat to our species. It demands Himalayan Ambitions. We're moving mountains to make that happen. Literally.
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what is even happening with Mumbai airport??? this is the 4th time in a month I’ve landed only to be ferried 25 mins away on a bus despite the aircraft being parked beside an aero bridge! This makes ZERO sense @CSMIA_Official
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It was a pleasure to host Hon’ble Minister Shri @ArjunsinghWB at @AltCarbonIndia’s Darjeeling-Climate Action Labs today. He spent time with our scientists, engineers, and farm partners to understand the work we’re doing on the intersection of agriculture, climate action, and earth sciences. What was striking was that he kept emphasising the need to focus on the farming communities in Bengal and undertaking cutting edge R&D to ensure we have agricultural abundance.
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wait but I thought AI was going to eat software?
Tomorrow on the show: @JensenHuang, the CEO of NVIDIA, who thinks A.I. fear is getting way out of hand.
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and it’s a wrap what a fun time hosting @ashleevance and the @corememory team the himalayas!
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adventuring in darjeeling with @ashleevance
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ngl this a good list
.@johnternus acquisition list: 1. @perplexity_ai = search / default LLM 2. @WisprFlow = siri 3. @Superhuman = native AI office suite / mail app / Grammarly is new keyboard on iPhone 4. @exolabs = local open source AI 5. @RobinhoodApp = finance platform (not for sale I know) 6. @Hello_GoAI = enterprise AI 7. @digitalocean = create an AWS competitor 8. Disney = obvious 9. DoorDash and uber = get into the real world of logistics! Bold move! Spend that @apple war chest on big swings — only takes one breakout
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Sparsh Agarwal retweeted
It's going to a fun few days... @ashleevance 😊
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i think this is the right direction but man is it just me or does gavin newsom looks like evil matthew mcconaughey
BREAKING: I just signed an EXECUTIVE ORDER to dramatically accelerate independent oversight of AI companies and advance the creation of an “AI kill switch.” With Donald Trump and Congress failing to lead, California is stepping up to keep all Americans safe.
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I'm a big believer that AI will transform the Earth Sciences, in the way it has Life Sciences. This is a very good essay by @orbuch, who has been great fun discussing this topic with Imo this is what good venture investing should look like— mobilising imagination, thought and words to articulate what the world is capable of looking like tomorrow. > The big claim underlying Ryan's thesis is that @RichardSSutton's Bitter Lesson can be applied to understanding the Earth System as well. I agree that compute and data can help us reach generalization in Earth Sciences. However, I have a minor but important disagreement-- unlike LLMs, this *will* require specialised human knowledge (given how complex & specialised Earth Systems are, its geochemistry, oceanographic complexities, geophysical quirks & more) > I like that Ryan talks about all that generalizable AIs can potentially achieve when it comes to monitoring and moulding our planet. While also making a very subtle point about the dangers of AI: that this a fundamentally new form of intelligence previously unbeknownst to the planet. They don't breathe (!) They are not part of the natural world that makes up our planet. How do we understand this from an AI Safety lens? > Liu Cixin has a brilliant short story Moonlight, about how human ingenuity that engineers the planet eventually created unintended consequences seen only decades later. I think this essay tackles that criticism head on constantly keeping in mind the sentiment of the butterfly effect, which is refreshing. > The visualisations of sensor networks shown in the essay are a very good reminder of the large difference that exists in mapping Earth Systems, between the Developed and the Developing countries. ERA5 is a good example. It's barely decent in prediction for South Asia becuase of sparse ground truthing. We will need creative ways to finance such gaps— from global philanthropic support, to multi governmental initiatives, to citizen science networks, to some potentially very profitable startup ideas. I think one great source could be frontier labs and the new windfall hitting them. > The essay talks about the Ocean being a major blind spot for us. I would propose another— the subsurface. We barely know what's beneath our feat, despite geophysical tools now finally becoming advanced enough that we could peer to the centre of the earth without having to drill (see image below for how sparse our coverage of the underground has been). > Lots of new learnings from sensor carrying seals to how somali pirates make monsoon tracking difficult! I hope this inspires a new generation of natural scientists. Taking the Gaia hypothesis seriously, studying the Earth System, making it programmable will be a remarkably difficult but also a very exciting journey. It will take us to volcanoes, forests, rivers and canyons. We will bring these natural phenomena back to the lab, and carry the labs into the planet. Along the way, we will solve & discover new mysteries about our planet, study and learn about the long geological history that has given birth to and sustained life, and maybe, just maybe, we will also understand where we as humans have come from, and how are we floating on this pale blue dot, suspended in a vast galaxy around us. If you find this exciting @AltCarbonIndia is always hiring (you can read a short note from last year about our aim to create Planetary Intelligence): altcarbon.notion.site/Alt-Ca…
I wrote an essay about why the next frontier for AI is the world outside the data center Nature is a system more complex than anything we've ever created AI can learn how the system fits together, so we can finally understand how to shape it How? naturalgeneralintelligence.a…
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in today's @the_hindu, i noticed a very sensible and sensitive piece about how to give feedback to writers using ai. on the very opposite page, a piece by a former indian diplomat which seems entirely ai generated.
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Sparsh Agarwal retweeted
what a gem
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AI safety but the children are the ones saying this
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I have to agree…
#WATCH | Thiruvananthapuram | A content creator from Brazil, Jessica says, "Brazil and India are very similar, the people, the love... I love the people, the food, culture, and everything..."
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my girlfriend has taken her day off as bombay welcomes ganesh chathurthi watching her from my desk, i have just been taught what "girl rot" means
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Good writing in Indian sciences is so rare! This book finally arrived.
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I personally find it incredibly irresponsible to create this strawman: “China is very unlikely to join a global agreement, as you know, and that has to be taken into account as well.” How do we know this? Why is this obvious? It’s very much in the interest of investors in frontier labs to claim this in order to keep accelerating without regulations. Until now, China has behaved fairly responsibly when it comes to climate change, the impact of social media on children, and generally on the geopolitical sphere. I’m not a China apologist but at some point, we have to ask, on what basis are we making such assertions? I hope Xi is able to clearly and convincingly argue for a responsible bilateralism for AI research governance during their meeting later this month.
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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Good to see @iiscbangalore doing this! Deeptech needs exactly this kind of bridge building between Delhi & Bangalore.
To innovate you need an ecosystem. Creativity. Friends. Net for failure. Space for success. While walking the earth. 🇮🇳’s campuses & cities have it: growing university-translational-market bridges. What we need: a lightly structured deep tech ecology. Stay tuned for The Technology Dialogue, Bengaluru, 30 Nov-2 Dec. Led by @PrinSciAdvOff Supported by @iiscbangalore @GIS_Impact @orfonline
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Who in India understands the AI development in SF *and* what it can mean for Indian economy? What’s the best writing on this available today? Seems like a pretty big white space…
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One person who I think could do this well is @arjun_ramani3 but need to get him to write a long form piece
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Last year I had the chance of attending a satellite launch. It was so amazing to see the curiosity that was sparked in the minds of the kids attending it. To bring the local community to our labs in Darjeeling feels very special!
Today, the D-CAL (Darjeeling Climate Action Lab) team at @AltCarbonIndia opened its doors to children from the local community for a day of experiments and discovery. There were interactive demos, a few surprises and lots of “how does that work?” moments, and hopefully many future scientists & explorers in the making. Because sometimes, all it takes is one cool experiment to spark a lifelong love for science. Super proud of the team for creating that spark, and for finding meaningful ways to give back to the community we’re so fortunate to build alongside.
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