
【共读《黄帝内经》】AI助力共读计划·发刊词
共读《黄帝内经》
What it does
【共读《黄帝内经》】AI助力共读计划·发刊词 今天,是一个特别的起点——我正式启动「AI助力·《黄帝内经》共读精进计划」,从此刻出发,以微光聚星河,邀你一同解锁这部穿越千年的智慧宝典,在经典中修身、在共学中精进。 提起《黄帝内经》,我们或许都听过它的盛名:它是中华传统医学的源头活水,是古人安身养心的智慧结晶,更是一部涵盖生命哲学、养生之道、处世智慧的百科全书。但这份厚重,也让许多人望而却步——文言文的晦涩难懂、条文的深奥玄妙、独自阅读的枯燥乏力,让这部经典的智慧,难以真正走进我们的日常。 今日启航,不负时光,不负初心。诚邀各位伙伴,共赴这场跨越千年的智慧之约,一同在《黄帝内经》的滋养中,慢慢沉淀、共同成长,奔赴更通透、更健康、更丰盈的自己✨
Does the same job
all alternatives →More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, March 2026
the whole month →

Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com


