Dispatch

adammaj on Twitter / X

from the outside, it is very reasonable to interpret the past 2 weeks as an orchestrated industry-wide regulatory capture strategy.I realize that no one has properly explained yet what all the lab employees have seen that scared them so suddenly.I will try to explain -…— adammaj (@MajmudarAdam) September 12, 2026

It’s Time to Investigate the AI Labs - Cal Newport

Over the last several months, the two leading frontier AI labs have shown some brazen behavior. It started with a series of​ carefully planned announcements​ ... Read more

PRISM: Capturing the Invisible Art of Scientific Practice

A New Tool for Recording and Scaling Laboratory Expertise

Demonstrating end-to-end scientific discovery with Robin | FutureHouse

Robin is the first multi-agent system for discovery in biology that integrates novel hypothesis generation with experimental data analysis in one continuous workflow.

The CDC Has a Cyclospora Lab. DOGE Downsized It Last Year

“Based on simple math, these outbreak responses—which require rapid, timely responses—are going to be greatly diminished,” the former CDC lab director tells WIRED.

LabFolio

The most complete and granular data collection of scientist activities and the platform to share and collaborate with other scientists.

Learnings from a week in the wet lab — LessWrong

I work on biosafety evals for LLMs, but have never set foot in a wet lab. This seems kind of silly, so this week I decided to change that.  …

Alerts | Elicit: Al for scientific research

AI monitoring and screening with Elicit Alerts help you stay on top of all new research. Save a new alert mid-workflow and be notified when new relevant papers become available.

Introducing Hypothesis commenting on bioRxiv and medRxiv: an updated way to engage with preprints - openRxiv

An important part of our mission at openRxiv is to collaborate with other organizations to improve science communication and promote interoperability. Preprints are just one part of the research workflow, and we want to ensure they are effectively integrated with the tools and communities that drive scientific progress. Today, we’re excited to share about another…

Meet Rosalind Workbench: Empowering every scientist to be their own research team | OpenAI Developers

How guided tasks, scientific viewers, and sequencing analysis help researchers follow a question from data to evidence.

Nature is expanding Registered Reports to all the fields in which we publish

Registered Reports improve the credibility of scientific claims by rewarding big questions, sound methods and solid analyses. They need to become a standard tool in research.

Assessing and mitigating batch effects in large-scale omics studies

Batch effects in omics data are notoriously common technical variations unrelated to study objectives, and may result in misleading outcomes if uncorrected, or hinder biomedical discovery if over-corrected. Assessing and mitigating batch effects is crucial for ensuring the reliability and reproducibility of omics data and minimizing the impact of technical variations on biological interpretation. In this review, we highlight the profound negative impact of batch effects and the urgent need to address this challenging problem in large-scale omics studies. We summarize potential sources of batch effects, current progress in evaluating and correcting them, and consortium efforts aiming to tackle them.

Jason Shepherd on Twitter / X

I have quite a lot of thoughts on this..that won't fit in a tweet. Bottomline is that there are issues scientists in the US would love to improve - faster review, less grant writing, more stability and freedom to do risky science. The folks celebrating this doc are mostly../1 https://t.co/xlPAH9XYNC— Jason Shepherd (@JasonSynaptic) July 23, 2026

SenseNets alpha launch retrospective - Cosmik Labs

Experiments at the bleeding edge scientific publishing

Science has been in a “replication crisis” for a decade. Have we learned anything?

Bad papers are still published. But some other things might be getting better.