Ruslan Rust

For clinical trials of tests and treatments, accuracy can be a matter of life or death; these studies directly inform medical practice, after all. A new tool may help make sure the studies are sound: #AI. In a test of whether 15 LLMs could identify methodological errors deliberately inserted into clinical research papers, one spotted nearly all the planted errors, and even the worst LLM performer found about half. Human reviewers found only one-quarter. Learn more: scim.ag/4BQVmdF

Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges. They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.

I've changed how I work over the last few weeks. I now have one lead agent for each area of focus, running all the time, and a chief of staff agent that oversees them. Each lead manages its own sub-agents that write code, test it, chase reviews, and coordinate with team members. Everything I need to decide or review comes into one prioritized queue, a simple local web app. Each product review includes screenshots and a video demo of the feature. I clear the queue in batches, mostly by voice and keyboard shortcuts. The leads also bring back ideas I hadn't considered. Working from one queue, instead of switching between dozens of chats, has cut a lot of mental overhead. The system keeps learning my preferences and distilling my judgment into a "Brian brain," so its recommendations and first drafts get better before they reach me. The goal is fewer corrections per change. Every change still goes through the same human review and security checks. It is eliminating tasks, not human judgment. What an exciting time to push the frontier of productivity, especially as we build the economy for agents (agentic finance). We should all keep pushing in this direction.

Opus 5.5 (via Code) is unusable with the most basic bio things. Just asking it to look at a published brain paper to include in a paper wiki switches to Opus 5. @lydiahallie this used to be fine until recently.

🧬 We’re hiring at the NVIDIA × Lilly AI lab—across both companies! Help build the next generation of drug discovery, bringing AI, robotics and experimental science together in our joint Bay Area lab. #Hiring #AIforScience #DrugDiscovery

They got their research idea fully funded in less than a day. Meet @rust_ruslan and Gavin, investigating how microplastics affect brain cells involved in Alzheimer's. Hear how ResearchHub helped them secure funding and start experimenting while the idea was still fresh.

ライブセル空間トランスクリプトーム出たー Live Spatial Transcriptomics Enables Longitudinal Tissue Mapping biorxiv.org/content/10.64898…

When doing a peer-review of an article for a medical/surgical journal, you notice a key citation is missing and it happens to be your seminal work on the topic. What do you do? What do journal editors think?