Effects of Finasteride exposure on lifespan and locomotor phenotypes “Finasteride is one of the core medications for treating androgen-associated diseases in men. It exhibits multiple therapeutic functions, including inhibiting 5α-reductase, reducing dihydrotestosterone levels, and improving conditions, including prostate enlargement and hair loss. Using Drosophila as the primary model and a mouse behavioral assay as a complementary approach, we combined developmental and behavioral assessments, morphological analyses of motor and sensory neurons, transcriptomics, and genetic methods to investigate developmental, neuronal, and behavioral changes associated with Finasteride exposure and explore their potential molecular basis. Our results indicate that Finasteride exposure is associated with increased intestinal reactive oxygen species (ROS) accumulation and shortened lifespan in both sexes, together with significantly reduced starvation resistance in males. In addition, Finasteride exposure was also associated with altered neuromuscular junction (NMJ) morphology, reduced locomotor performance, and decreased cask expression. … Overall, this study reveals changes in lifespan and locomotor phenotypes associated with Finasteride exposure and further highlights the importance of investigating its broader biological effects in other experimental systems.” link.springer.com/article/10…

In June, @SamAsante and I launched Typeahead, the first product from our new company. Today we're releasing our next Mac app. It's called Beam, and we're live on Product Hunt. I've got Macs all over my house doing different work. Some run agents and local models. Others handle builds. When I want to use one app on another Mac, I usually end up navigating a whole second desktop through Screen Sharing. Beam brings that app's window onto the Mac I'm using. It gets its own Dock icon and shows up in ⌘Tab. I can type into it and resize it while everything keeps running on the other Mac. Sam has put a lot of care into making this feel natural. The video shows it better than I can explain it. Live on Product Hunt → producthunt.com/products/bea…

interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works already-clean.goodfire.com/

Prolonged tadalafil exposure promotes skeletal muscle myogenesis and regulates early myogenic markers activation in C2C12 cell lines “emerging evidence suggests that phosphodiesterase type 5 (PDE5) inhibitors may also have an effect on skeletal muscle metabolism and plasticity…” pubmed.ncbi.nlm.nih.gov/4285…

[1/7] We trained a world model on 30,000 hours of first-person video. It learned exactly where the hands go. What happens to the things they touch, much less so. Going from 300 to 30,000 hours did not narrow the gap, and a 4× larger model barely did either.