@MedARC_AI
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Continuing our Journal Club series on Monday October 5th at 11am PT!
Ben Tang (researcher at Duke) will be presenting his paper "Pretraining for Sample-Efficient Neural Interfaces"
To attend, join the Discord and check our website!View quoted post on X
RSI, proven again. 🧠🔬
ScienceGuru + Guru Turbo 1.0 is now the #1 maintainer-validated trainable run on MedARC's NanoPath — an open, FLOP-capped benchmark for training pathology foundation models, competing against recipes from human research labs (MSK, Oregon, UBC, and others).
Our autonomous research system ran the full loop itself: generated hypotheses, wrote the code, ran controlled experiments on a single H100, and iterated its way to the top recipe.
Score: 0.6597 — a +0.025 jump over the prior best community recipe, with gains across 5 of 6 metric families (classification, segmentation, progression, mutation, survival).
This is the second independent, maintainer-validated #1 for our recursive self-improvement stack — after Autoresearch@Home. Different scientific domain. Zero recipe transfer. Same system. The harness generalizes.
That's the RSI claim in falsifiable form: an AI that improves AI, on open leaderboards anyone can check — fully open source, as the benchmark requires:
github.com/AutoTrustAI/na…
Recursive self-improvement isn't a slogan. It's a leaderboard entry.
More domains coming.
@MedARC_AI @ScienceGuruAIView quoted post on X
We are hosting yet another awesome Journal Club presentation on July 30th at 8:30am PT!
@TimDarcet (researcher at Meta) will be presenting his paper "CAPI: Cluster and Predict Latent Patches for Improved Masked Image Modeling"
Join the Discord and check our website!View quoted post on X
