Also, we're announcing Edison Scientific, a new commercial spinout from FutureHouse. You can read more about that here: edisonscientific.com/articles/ann...

Give it a try here: platform.edisonscientific.com

And read our paper: edisonscientific.com/kosmos-report

We have built this to accelerate science, and we think it's pretty neat. We are super excited to see what people think.

A single run can read 1,500 papers and write 42,000 lines of code. At least 79% of its findings are reproducible. We have already made major discoveries with it from clinical genetics to material science. And we are providing free tier usage for academic researchers.

We were blown away by the quality of the applicants for our fellowship. Thank you to everyone who applied -- stay tuned for the next round of applications next year. Read more here: www.futurehouse.org/fellowship 5/5

They will independently drive a project in collaboration with top academic labs around the country at Harvard, the Broad Institute, MIT, Stanford, and Caltech. 4/5

Each fellow will receive a $125k stipend, along with access to our wet lab and computational engineering resources, to research a specific question in biology or bioengineering using our agents. 3/5

Through the fellowship, we will support them in applying our AI agents at scale to make new discoveries in their domains of biology and bioengineering research. 2/5

(And full disclosure, we have not independently validated the findings in the videos above!)

Sign up here: docs.google.com/forms/d/e/1F...

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It also messes a bunch of stuff up. We need extremely talented bioinformaticians and computational biologists to help us evaluate accuracy and reliability, and to help us train it. Beta testers will also be able to use it for their own analyses. 7/

Like Crow, Falcon, and Owl, Finch is a bona fide agent. Users upload their data, and then Finch runs code, generates figures, inspects the results, and iterates until it has fully answered the question. For our own projects internally, we have found it to be pretty awesome. 6/

It identifies upregulated genes (e.g. inflammatory modulators, antimicrobial peptides) and downregulated genes (e.g. bile acid transport genes), and does a pathway analysis. Being able to do this in minutes is a superpower. 5/

In addition to open-ended analysis, Finch can also do directed data analysis. In this example, we had it do a differential expression and functional enrichment analysis of some RNAseq data (GEO accession GSE87466). 4/

Importantly, the prompt here is fully open-ended! We just ask the agent to explore the data. Similar to a first year grad student, it makes a bunch of silly mistakes, but also actually ends up finding some really cool stuff. And it works really fast by comparison... 3/

In the video, see how it independently reproduces key findings from the Golub Lab's 2020 MetMap paper, including the fact that ADAM28 deletions are associated with breast cancer metastases to brain (fig 4b of the original paper). It also identifies several novel findings not already in the paper. 2/

We are launching three benchmarked superhuman literature search agents today, and one experimental agent for chemistry. We have many more agents to release soon.

Read more on our blog post: www.futurehouse.org/research-ann...

and check it out at platform.futurehouse.org! 2/2