
Amit
@AmitRnD
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Building a new operating system for research funding - sci/acc
Joined October 2025
i am still of the opinion that solving the boring operational problems in biopharma r&d, like slowness in regulatory documentation and process development is the most effective way to derive value from AI in the short term
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We then pray for invisible hands to haul IP from university troves and scale to market for profit. Those profits however show little direct connection to American priorities or prosperity. And so ideas are never seeded or technologies die on the vine or spoil in transport
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The current system is not designed for efficacy - it lacks vision and ambition. We haphazardly fund research as long as the PI is well pedigreed and the project feels achievable to their peers - heaven forbid they try something radical or publish negative results
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Markets to invest and build supply alongside it. Science and technology are ultimately the only answer. Collaborative R&D provides the growth that disincentives violence as well as the recipe for maintaining independence - BUT it needs to be coordinated
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China would see tens of millions jobless without American demand for products. To the extent we want to “win” we need to pivot towards becoming a technological state with a mission economy. The government must set priorities, invest in R&D accordingly and incentivize private
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A complete rapid decoupling would cause massive harm to both societies and lead to a less stable world. Americans would see prices skyrocket and businesses would be incapable of producing products for years on end as we try and newly build a 21st century industrial base
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China followed suit doing this not only with other countries but with us. There are some reliant on belts and road infra but for us they provided not only cheap labor but over times mega factories capable of astonishing fabrication of all kinds of products
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The US did this as a home for innovation and industrial production powering Europe through the Wars and recovery plus expanding tech and trade throughout Latam and Africa. Our sphere of influence grew without having to go to war - everybody traded with us and codependence formed
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Harden solved the second crisis by providing tech for free (aid) that radically improved infra in other worlds creating dependence Mallow expanded thru trade - tech provided cheaply that people loved would but didn’t last long. Cut off trade everything slowly breaks ppl rebel
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Absolutely incredible. I can barely imagine how amazing it’s going to be to be a grad student or new PI
Holy shit...Stanford just built a system that converts research papers into working AI agents. It’s called Paper2Agent, and it literally: • Recreates the method in the paper • Applies it to your own dataset • Answers questions like the author This changes how we do science
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The regime willing to move fast, iterate and develop technologies will win
Crazy example of Chinese biotech cycle times: I'm reading a new bioRxiv preprint from a Chinese research team about a new circular RNA modality. It's about a cool idea to embed aptamers into circular RNAs. The circularity confers stability and the aptamers confer targeting. So
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Lots of philanthropists and foundations want to fund “translational” R&D like potential therapeutics but the highest leverage thing you can do in the age of AI/ML is create large open datasets whether for bio, physics, materials, language, etc.
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There’s a lot of dunking on @Meta for AI for social media and ads instead of doing science like @periodiclabs but the most useful dataset for quantitative ML matsci/chem research (OMat24) was published by @Meta and @FairChemistry fully open source and now there’s OMol25!
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You could potentially store all this data in 0.04 miligrams of DNA (stored in photonic microspheres). There’s a very reasonable future where we could cheaply have thousands of copies of information in extremely small, lightweight, dispersed biostorage devices
the korean government lost all of its data, because it put all of its servers in one physical location with no backups
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We need to understand how to make sense of and use information and resources in a directed manner
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Yes, Yes, Yes! “The main bottleneck has been our ability to properly value and validate scientific output.” We need to (and are working on) how to value and validate output so we can utilize this information and coordinate efforts (funding, programs, personnel)
Yeah, I am as excited as the next guy about creating an “AI scientist”, but I know all too well that for decades intelligence has not been the main bottleneck for creating better and more advanced scientific breakthroughs. We’ve been churning out more science PhDs than we knew
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