Youko Marian Horiuchi Beltrán, DR © Ilustración digital Ciudad de México, Mayo 2021 Sitio de la autora Instagram Esta es una reproducción digital, con fines de divulgación, de una obra original proporcionada por su autor o propietario. Todos los derechos están reservados por la artista.

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.

Introduction I’ve been exploring how artificial intelligence is transforming our lives. It’s doing incredible things—think better medical diagnoses or self-driving cars—but there’s a darker side that’s tough to overlook. AI is being weaponized to create and spread misinformation, especially in politics, and it’s a growing problem. I stumbled upon research in Nature by Garimella and Chauchard (2024) that really opened my eyes.

How QwQ-32B Is Redefining Efficiency and Reasoning in Open-Source AI

This post explores and analyses the article ‘How to track the economic impact of public investments in AI’ by Julia Lane and colleagues. The article was published in 2024. For the open-source version of this blog post, please click this link.

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.