I set out last time to discuss some of the tensions that persist in afflicting cosmic concordance, but didn’t get past the Hubble tension. Since then, I’ve come across more of that, e.g., Boubel et al (2024a), who use a variant of Tully-Fisher to obtain H 0 = 73.3 ± 2.1(stat) ± 3.5(sys) km/s/Mpc.
Start your blog with an exultant tone, pompous words, and gratuitous alliterations and I know I’m not so much in for an exciting journey to a fascinating world as a rapid descent into the wastelands of utter mediocrity. I recently came across some obvious LLM-generated slop on science blogging aggregator Rogue Scholar. Here I write up why synthetic text has no place in scholarly blogging.
I’m passionate about the written word but conversely, I’ve turned to digital media to encourage people to read.
At first, no one noticed the grain fields dying. The war wasn't declared with a missile launch. It wasn't announced with tanks, drones, or hackers tapping on keyboards. It started in the soil. The first reports came from a logistics base near Lubbock. A strange blight on the stored wheat stocks, brown lesions on the kernels, a chemical smell no one could quite identify.
This week’s recap highlights new methods in genetic epidemiology, mostly centered around genomic data sharing and privacy-preserving methods: a short commentary on genomic data sharing highlighting how new challenges complicate large-scale data sharing practices, a privacy-preserving method for QTL mapping, privacy-preserving methods for federated biobank-scale GWAS analysis, a Nextflow pipeline for polygenic score QC and construction, and new
I realize that the titular statement is open to misinterpretation so let me head that off at the pass: I’m not saying this prescriptively, like you should learn anatomy to become a better person (you should learn anatomy because it’s accessible and it rules), or that knowing anatomy makes people better. I’m also not saying this distributively, like anatomists are better people than non-anatomists.
How QwQ-32B Is Redefining Efficiency and Reasoning in Open-Source AIContinue reading on Medium »
This seems to have gone under the radar: Accelerating Access to Research Results: New Implementation Date for the 2024 NIH Public Access Policy. It’s a memo from Jay Bhattacharya, director of the NIH (the United States’ National Institutes of Health): Well, this is tremendous news. The NIH is the biggest single funder of health research in the USA, and making all the work that it funds immediately open access is a huge win.
Rethinking How We Measure the Value of AI ResearchContinue reading on Medium »
We’ve been accelerating our metadata development efforts and recently released version 5.4 of our metadata schema, and are planning to release version 5.5 (including support for multiple contributor roles and the CRediT taxonomy) this summer. We will also extend our grants schema based on the Funders Advisory Group work, and make progress on other changes as set out on our new metadata development roadmap.
Following my recent talk for the Boston Library Consortium, many of you expressed a strong interest in learning how to test the new generation of AI-powered academic search tools. Specifically, evaluating systems using Retrieval-Augmented Generation (RAG) was the top request, surpassing interest in learning more about semantic search or LLMs alone. This is a crucial topic, as these tools are rapidly entering our landscape.