Applied AI Engineer HOWARD PhD
West Coast
Joined September 2011
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Marcus retweeted
JUST IN: Marco Rubio declares the United States will launch “a new age of exploration in space.”
Marcus retweeted
In light of the progress in mathematics, we at Edison Scientific and FutureHouse have assembled a set of Millennium Problems for Biology. They are chosen to be very hard to solve but very easy to validate in a simple laboratory environment. Any of these, if solved, would mark a major advance in biotechnology, and most of them would contribute materially towards curing disease. These are, in some sense, the “last reasonable eval” for AI in biology. This was work primarily by @MichaelaThinks and myself, with contributions from many others.
Short descriptions below. The full descriptions of the problems with acceptance criteria are at the Bio Millennium Problems website, linked in the next post. Share more if you have ideas. If they meet our criteria, we’ll add them to our list (with attribution and permission).
Marcus retweeted
When I read that an internal OpenAI model solved the Navier-Stokes problem, I realized it would be very hard for us to know if that model possesses similar "millennium intelligence" in biology (even if it does!). "Curing disease" is a noble goal, but we cannot validate proposed treatments rapidly enough to use it as a frontline eval for new models.
Here, @SGRodriques and I propose Millennium Problems for Biology - meaningful, difficult challenges in biology whose solutions should be straightforward and quick to validate in a wetlab. If a model were to solve any of these, I would know that machine intelligence was capable of fundamentally reshaping humanity's ability to make, measure, and model biology.
Please see details of the problems in the thread below, and see our website for the permanent home of the list. I encourage the community to red-team these challenges to make sure they are adequately specified and difficult to cheat, and propose additional challenges to add. We will subsequently update the list in response to feedback.
In light of the progress in mathematics, we at Edison Scientific and FutureHouse have assembled a set of Millennium Problems for Biology. They are chosen to be very hard to solve but very easy to validate in a simple laboratory environment. Any of these, if solved, would mark a major advance in biotechnology, and most of them would contribute materially towards curing disease. These are, in some sense, the “last reasonable eval” for AI in biology. This was work primarily by @MichaelaThinks and myself, with contributions from many others.
Short descriptions below. The full descriptions of the problems with acceptance criteria are at the Bio Millennium Problems website, linked in the next post. Share more if you have ideas. If they meet our criteria, we’ll add them to our list (with attribution and permission).
UMD 2019 Pre-covid.
cs.umd.edu/~tomg/projects/in…
Marcus retweeted
There is a child with a rare disease who is currently suffering and struggling to manage his symptoms. Rare as this is, you can directly help him.
Today we are launching the "Rare Disease, Real Kid" Hackathon, and there are $50,000 in prizes from @AnthropicAI and @awscloud.
We (@huggingface & @Sagebio) are helping this child open his genome and clinical data to the community, so that we can find what's caused his disease and what currently-approved drugs could help him.
I doubt I need to motivate this much further or explain how rare it is for a family to share their child's genome and clinical data, but if you're not sure, consider this:
Until very recently, it wasn't feasible for patients like this to get treatment because their disease was so rare that the economics could never justify the investment. Now, as we've seen, people with rare diseases are starting to be able to find the answers themselves (with the help of AI tools, cheaper sequencing, etc). This kid is not able to do that for himself and neither are his parents, so we're asking you for help. Both for this kid and to prove that it's possible for everyone else suffering from a rare disease.
More details in 🧵.
sagebio-rare-disease-real-ki…
Marcus retweeted
Rainmaker just produced ~19M gallons of water in Alaska via next-gen cloud seeding over 3 hours of operations.
We are the first company to provably produce precipitation in Alaska. As promised, we’ve linked our white paper and relevant data.
In the future, Rainmaker will protect and restore glaciers with man-made snowfall.
Immediately, this demonstration shows how Rainmaker will add new water to the Colorado River and Great Salt Lake in the coming months.
We turned around this analysis and white paper just a couple days after operating. There are many data sources I want to deepen our understanding of the atmosphere and increase our provable production; we’re building the instruments to collect that data in subsequent operations. But at Rainmaker, we won’t tout LOIs, simulations, or lab tests. What matters is physically measuring that you’ve affected the atmosphere; proving that we’ve produced water. We prefer sharing only the tech that has proven to make more water for farms, industries, and ecosystems in need.
Expect a regular cadence of these from us as we build the best atmospheric science lab in the world. Feedback is welcome in the interim.
Rainmaker Century.
rainmaker.com/blog/alaska-va…
