Looks Can Kill (Sped Up) OUT NOW ▶ ▶ ▶ ▶ #IVE# #아이브# #LooksCanKill# #룩스캔킬#

Breaking news: DHS sped up training for police officers making immigration arrests by scaling back instruction on the nation’s immigration laws and real world scenarios they might encounter, according to emails reviewed by the Post.

This has sped up my AI coding 20x (prompt at the end): Before building out a big feature, ask ChatGPT 6 Astra to ask you as many questions it needs to fully plan out the idea This is even better than plan mode. plan mode is typically limited to 3 or 4 questions. This is like a super plan mode and makes Astra SO good This has asked me 100+ questions before. Seems like a lot but actually saves you time in the long run The plan it builds will be so detailed and complete that it can basically run autonomously and build the entire thing But here's where you take things to the next level: You also have it take your entire plan and create detailed Linear issues for it It should create 20+ tasks in Linear Then it's as easy as saying "ok work on the next thing" over and over until the feature is done Highly recommend downloading and using Linear if you haven't yet. Amazing project management tool w/ excellent free tier Will basically capture all these details and put your agent on autopilot. It's a 2nd brain. Use this prompt: "I want to build out *describe your feature in detail*. Ask as many questions you need of my to fully understand every detail of what I want to build out. Then take everything you learn, and create super focused and detailed Linear issues. Then begin work" Getting so much more high quality code out with this workflow. You're welcome.

Coding agents broke OpenAI's Git. Codex sped up their engineers so much that by the end of last year the monorepo couldn't keep up. Slow pushes, failed merges, and reliability at times below 90%. The work multiplies. One engineer now has several changes heading to CI at once, and every push sets off more jobs fetching the same code. So they built a new Git backend called Pando. It went from kick-off to production in 10 weeks, designed by one engineer and written by teams of agents. Median push latency is down nearly 80%, and it now serves close to a petabyte of Git data a day. This is what agents do to infrastructure. Every agent is another worker pushing code, running tests and pulling data, and all of that lands on storage, networks and CPUs as well as GPUs. OpenAI hit the wall first because they use agents more than almost anyone, so at least the rest of us know what's coming. Every company that rolls out agents at scale is going to need a lot more infrastructure under them than it planned for

A biker trying to evade police checking sped away in Rudrapur, leaving a woman riding pillion to fall onto the road. Instead of stopping to help, the biker fled the scene. Traffic police personnel rushed to assist the woman and checked on her well-being. #Rudrapur# #Uttarakhand# #ViralVideo# #TrafficPolice# #RoadSafety#