𝖡.𝗄𝖾𝖾𝗇

미국에서 운전할때 총을 들고 다녀야 하는 이유?

아이파크 살면 파크하얏트 모든 시설이 할인 됩니다 그래서 아줌마들 만남의 장소에요 사우나 회원권도 없어서 못살지경이고 밤마다 사우나 다녀요 낮에 마사지, 앺티도 항상 입주민으로 가득 웨스틴조선 생각보다 잘 안갑니다... 부산 사람들도 최신식 좋아해요 바다에 대한 감흥이 별로 없어요 부산 넘버원 호텔은 아난티가 맞습니다 아마 올해 반얀트리 완공되면 한동안은 반얀트리겠죠?

아무나 개를 키우면 안되는 이유 주인이 전혀 제지를 못하네...

This Chinese developer launched Llama 70B locally on a MacBook on a plane and for a full 11 hours without internet ran client projects. He was sitting by the window on a transatlantic flight with a MacBook Pro M4 with 64 GB of memory. WiFi on board cost $25 for the flight. He declined. No cloud API, no connection to Anthropic or OpenAI servers, no internet at all. Just a local Llama 3.3 70B on bf16 and his own orchestrator script. The model runs through llama.cpp. Generation speed, 71 tokens per second. Context around 60,000 tokens. Memory usage, 48.6 GiB out of 64. Battery at takeoff, 3 hours 21 minutes. And he gave the orchestrator this system prompt before takeoff: "You are an offline orchestrator running on a single MacBook. There is no network. The only resources you have are local files in /Users/dev/work, the Llama 70B inference server at localhost:8080, and a battery budget of 3 hours 21 minutes. Process the queue at /Users/dev/work/queue.jsonl (one client task per line). For each task: draft → run local evals → save artefact to /Users/dev/work/done/. Save context checkpoints every 12 tasks so you can resume after a battery swap. Stop only on empty queue or when battery drops below 5%." So the system knows exactly what resources it is running on. It knows it has no connection to the outside world for the next 11 hours. It knows it has finite memory and a finite battery. It knows the human will not intervene until the plane lands. The system runs in 1 loop. Takes a task from the queue, runs it through inference, saves the artifact, writes a checkpoint. Task after task, just like that. And only when the battery drops below 5% does the orchestrator automatically pause, waits for the laptop to switch to the backup power bank, and continues from the last checkpoint. Here is what the system actually writes in his log during the flight: "saved context checkpoint 8 of 12 (pos_min = 488, pos_max = 50118, size = 62.813 MiB)" "restored context checkpoint (pos_min = 488, pos_max = 50118)" "prompt processing progress: n_tokens = 50 / 60 818" "task 37016 done | tps = 71 s tokens text → /Users/dev/work/done/proposal_westside.md" Outside the window, clouds, blue sky, and no WiFi. On the tray, 1 MacBook, an open terminal on 2 screens, and an inference server on localhost. From what I have observed, this is the cleanest offline AI workflow I have seen in the past year: 11 hours of flight, $0 for WiFi, and the entire client queue closed before landing.

속보!!! 브런슨 주한미군사령관 "한국을 아시아 미군기지 거점으로 만들겠다"  이재명이 미군 나가라고 한 다음날 바로 주한미군기지를 아시아의 미군 허브로 만들겠다고 발표 ㅋㅋㅋㅋ Make America Great Again!! Make Korea Great Again!!

外資系に向いている日本人の特徴 ・変人 ・人に興味ない ・協調性がない ・人は人、俺は俺 ・上司の靴を徹底的に舐めて綺麗にして逆らわない ・自分で自分のキャリアを作り上げていく思考回路 ・嫌だったら簡単に辞める

아우디 new A6 풀체인지 모델인데 잘 나온 듯. 초도물량 6천대를 주문했다는데 추가 주문한다고.

With some small tweaks, Codex can work for days on hard tasks. We will release some changes to make this easier to use for everyone. What’s the hardest task you’ve seen GPT-5.5 succeed at?

최근 리누스 토발즈가 바이브 코딩에 대해 “나는 오래전부터 인간을 가지고 바이브 코딩을 해 왔다”는 말을 해서 화제가 되었었는데.. 아.. 그렇구나. 그래서 Git이 AI 코딩 시대에 더욱 빛을 발하고 있는 것이었구나 싶은. 😏