From 350.org
We’re calling on governments to send ministers to the first-of-its-kind international summit in Colombia this April and turn words into concrete road maps that end fossil fuels for good. Public pressure can move the needle. Let’s make the transition to renewable energy inevitable so that even Trump and the oil lobby can’t save fossil fuels.
I'm wrapping my head around how to capture rebounds in basketball -- this is last Saturday's game of the Big Red women against the Columbia Lions which the Lions won 80-55 in fan-friendly Newman Arena -- next time I am heading back with my Zeiss 55mm/1.8 because I see people shooting basketball successfully with pretty wide lenses
#photo
The Belgian Powernaut VPP with residential solar (which dynamically curtails excess generation if needed to minimise imbalance) demonstrates that 80% of the value is generated in just 2% of the time.
https://hems-finder.org/wiki/gastbeitrag/Deutschlands-2-Mil…
SysOM-AI: Continuous Cross-Layer Performance Diagnosis for Production AI Training
Yusheng Zheng, Wenan Mao, Shuyi Cheng, Fuqiu Feng, Guangshui Li, Zhaoyan Liao, Yongzhuo Huang, Zhenwei Xiao, Yuqing Li, Andi Quinn, Tao Ma
https://arxiv.org/abs/2603.29235 https://arxiv.org/pdf/2603.29235 https://arxiv.org/html/2603.29235
arXiv:2603.29235v1 Announce Type: new
Abstract: Performance diagnosis in production-scale AI training is challenging because subtle OS-level issues can trigger cascading GPU delays and network slowdowns, degrading training efficiency across thousands of GPUs. Existing profiling tools are limited to single system layers, incur prohibitive overhead (10--30%), or lack continuous deployment capabilities, resulting in manual analyses spanning days. We argue that continuous, cross-layer observability enabled by OS-level instrumentation and layered differential diagnosis is necessary to address this gap. We introduce SysOM-AI, a production observability system that continuously integrates CPU stack profiling, GPU kernel tracing, and NCCL event instrumentation via adaptive hybrid stack unwinding and eBPF-based tracing, incurring less than 0.4% overhead. Deployed at Alibaba across over 80,000 GPUs for more than one year, SysOM-AI helped diagnose 94 confirmed production issues, reducing median diagnosis time from days to approximately 10 minutes.
toXiv_bot_toot
Gecko Robotics secures a $71M US Navy contract to use robots to slash repair time for dated ships, as the US races to reindustrialize its aging defense systems (Samantha Subin/CNBC)
https://www.cnbc.com/2026/03/17/gecko-robotics-navy-contract-ship-repair-t…