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quality of life feature in Expo 55, iOS dev builds using expo-dev-client will discover devservers on the local network automatically ✨📡 qr codes are finally fully optional now 😄

37,857 次观看 • 4 个月前 •via X (Twitter)

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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.

Blaze

1,838,219 次观看 • 2 个月前

🎶Earn rewards by listening to music during work, study, and relaxation.🎧 📢 #Newlaunch alert! “Lucky Draw” Feature Guideline! 🎉 We are thrilled to unveil a brand new feature on TRACKS DApp - the "Lucky Draw"! 🌟Now TRACKS users can participate in various events on our DApp with great prizes on constant base. Series of exciting events on the TRACKS DApp are waiting for you, giving the chance to win incredible prizes while enjoying your favorite music! 🎧🎁 🎉 Our first event, "Lucky Draw," is already underway, and the first prize is 10 #Google Play gift cards for $50 each. The entry fee is just 5 BLB, giving you a fantastic opportunity to win big! Event Details: - Event Name: Lucky Draw - First Prize: $50 Google Play gift card - Entry Fee: 5 BLB - Claimable Period: July 24, 2023 - July 30, 2023 - Winners Announcement: August 1, 2023 How to Participate: 1. Discover the brand new "Lucky Draw" feature on the main page of our platform. 2. Pay the entry fee of 5 BLB to enter the draw. 3. Await the results to be announced on August 1, 2023. Important Notes: - Only participants who pay the entry fee will be eligible to win the $50 Google Play gift card. - The 10 lucky winners will receive the gift card codes via email. Join the event now and Enjoy Music Enjoy Earning! 🎧🍀 ▶️On IOS: ▶️On Android: Enjoy music Enjoy Earning with TRACKS by LABEL Foundation🎧 #LABELFoundation #TRACKS #LBL #BLB #ListenAndEarn #LuckyDraw

LABEL AI (prev. LABEL Foundation)

92,420 次观看 • 3 年前