Equipoise means that no-one is exposed to excess risk just to test the therapy. That's specifically *why* vaccine trials don't use placebo arms.
Ethical violation as POLICY.
Genome-scale evolution and phylodynamics of swine #influenza A viruses in China: a genomic epidemiology study
www.thelancet.com/journals/lan...
#IDSky #ViroSky #ClinMicro #OpenAccess #OA
Genome-scale evolution and phylodynamics of swine #influenza A viruses in China: a genomic epidemiology study
www.thelancet.com/journals/lan...
#IDSky #ViroSky #ClinMicro #OpenAccess #OA
He is an amazing man. We can all learn from him.
He is an amazing man. We can all learn from him.
But he had never disgraced the nation as badly as he did today.
He has brought shame on this country to an extent I had never thought possible. And he has only just begun.
But he had never disgraced the nation as badly as he did today.
He has brought shame on this country to an extent I had never thought possible. And he has only just begun.
taskandpurpose.com/news/veteran...
taskandpurpose.com/news/veteran...
Mike Lauer went out on a limb for us all, sending out a memo saying institutes should start awarding grants. And it looks like Trump/Musk fired him for that. 🧪
This comes after top NIH official Larry Tabak abruptly retired yesterday.
Mike Lauer went out on a limb for us all, sending out a memo saying institutes should start awarding grants. And it looks like Trump/Musk fired him for that. 🧪
www.nytimes.com/2025/02/06/h...
www.nytimes.com/2025/02/06/h...
www.youtube.com/watch?v=JAgH...
www.youtube.com/watch?v=JAgH...
theonion.com/think-t...
theonion.com/think-t...
and
"Your students are already using AI, so you must teach them how to use it ethically!"
Two common messages used to push and pull teachers headlong into AI mania. I wrote about resisting these messages here:
and
"Your students are already using AI, so you must teach them how to use it ethically!"
Two common messages used to push and pull teachers headlong into AI mania. I wrote about resisting these messages here:
Current large models often abandon promising lines of reasoning too quickly, "underthinking". When they get math problems wrong, it's often because they jumped away from correct approaches too early. Lots of room to improve this.
Current large models often abandon promising lines of reasoning too quickly, "underthinking". When they get math problems wrong, it's often because they jumped away from correct approaches too early. Lots of room to improve this.
Watch CNBC in-depth report & implications for AI's future
— V3 outperformed several U.S. models in key benchmarks, like problem-solving, math, & coding
— high performances & lower computational resources (cheaper) — & 𝗧𝗿𝘂𝗺𝗽 𝗯𝘂𝘀𝘆 𝗼𝗻⁉️
🎥wiki
🧪🌿
🎥wiki
🧪🌿
www.cnn.com/2025/01/24/h...
youtu.be/_VGzqnQKhz8?...
youtu.be/_VGzqnQKhz8?...
www.govexec.com/workforce/20...
www.govexec.com/workforce/20...