Blog

🚀 Check out this trending post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: New therapy is turning back the clock in aging brains, healing inflammation, restoring memory and reshaping the future of brain age-related therapies Credit: Getty Images Picture this: your brain is a high-performance engine. Over decades, it doesn’t just wear down, it also starts to run hot. Tiny “fires” of inflammation smolder deep within the brain’s memory center, creating a persistent brain fog that makes it harder to think, form new memories or even adapt to new environments, all the while increasing the risk to…

💥 Check out this insightful post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: You have full access to this article via your institution. Many bacterial species resist cleaning chemicals and cling to sterile surfaces by producing sticky films in NASA's cleanrooms. Credit: NASA/JPL-CaltechNASA’s cleanrooms are sterilised by reducing humidity, through intense cleaning, and radiation exposure. Yet, some microbes persist in these rooms, an international research team has found1. The team has identified 26 new bacterial species in the cleanrooms where the Phoenix Mars Lander was assembled before its lift-off. The team, which included researcher Karthik Raman at…

✨ Check out this insightful post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Summary I found an aggregate pattern in Codex token_count metadata: gpt-5.5 responses disproportionately land at exactly reasoning_output_tokens = 516, with additional fixed-boundary spikes around 1034 and 1552. This appears model-specific and coincides with lower overall reasoning-token intensity, which may help explain degraded performance on complex/high-stakes Codex tasks. This is related to #29353, which reported a task-level reproduction where gpt-5.5 runs ending at exactly 516 reasoning tokens returned the wrong answer. This issue adds aggregate evidence across a larger Feb-Jun window. I am not claiming…

🔥 Explore this trending post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: written on July 04, 2026 A very strange Pi issue sent me down a rabbit hole over the last two days. The short version is that newer Claude models sometimes call Pi’s edit tool with extra, invented fields in the nested edits[] array. And not Haiku or some small model: Opus 4.8. The edit itself is usually correct but the arguments do not match the schema as the model invents made-up keys and Pi thus rejects the tool call and asks to try again. That…