Thank you to everyone who spent their Saturday with us at Ebolathon—and congratulations to the BuilderBlockers, Michael, @cydatio, and Rafal, who took an interesting synthon-aware Thompson Sampling approach to guide compound selection.
All submissions have been sent to our co-host, @onepot_ai, for synthesis before moving into pseudovirus assay testing. All assay data will be made public.
A special thank you to our judges—@andrei_tyrin, Andrii Kyrylchuk, Amy He, and Nina Jovic—for lending their time and expertise.
And thank you to our sponsors—@RowanSci, @boltz_bio, @OpenRouter, @modal, and @anyscalecompute for giving participants access to the models and compute needed to explore the challenge, and to @posthog for hosting us in their wonderful space!
@menhguin There's still some deep domains like healthcare (including rev cycle/the financial side) where agents (especially long-running) are still nascent
@rahulgs Why can't #7 in ngmi be durable assuming the task/benchmark can be specific to your product? Even if it's only more token efficient than the frontier, that can mean better perf for your product/ui -> more usage -> more feedback -> etc
@adele_bloch@dejavucoder Indoor bouldering is a good place for this. There’s a natural slowness between trying the problem, resting, and people mingling around
New blog post: "A sufficiently detailed spec is code"
I wrote this because I was tired of people claiming that the future of agentic coding is thoughtful specification work. As I show in the post, the reality devolves into slop pseudocode
https://t.co/V86V7cjWpS