All Static & Noise. 聚焦維吾爾人的紀錄片《雜音與噪音》(All Static & Noise) 片名翻譯恰當嗎? vibe. Vibe coding. How software is shifting from static, retrieval-based systems to real-time generative experiences, where AI creates unique outputs for every user based on context, prompts, and circumstances, driving the need for AI factories to generate content instantly at global scale .Although it can boost individuals’ creativity, it seems to homogenize and flatten our collective output.
All Static & Noise. vibe. Vibe coding. How software is shifting from static, retrieval-based systems to real-time generative experiences, where AI creates unique outputs for every user based on context, prompts, and circumstances, driving the need for AI factories to generate content instantly at global scale .Although it can boost individuals’ creativity, it seems to homogenize and flatten our collective output.
Static and noise generally refer to unwanted, random, or erratic signals that interfere with desired audio or video, characterized by a hissing, cracking, or buzzing sound, or a "snowy" visual image. It is primarily caused by atmospheric, electrical, or electronic interference. Synonyms include white noise, interference, "snow," or hiss, often originating from un-tuned electronics or electrical discharges.
Key Definitions and Meanings:
Static/Static Noise: A specific type of noise that sounds like a hiss, crackle, or buzz, typically caused by electrical disturbances or atmospheric events.
Noise: A broader, more technical term for unwanted, random signals that interfere with audio, video, or data.
"Static" (Figurative): Sometimes means nagging, complaining, or critical chatter ("I don't want any static from you").
Usage Examples:
Radio/TV: "The radio was just playing static because it was tuned to the wrong frequency".
Electronics: "The old speaker made a loud static noise when the volume was turned up".
General Context: "I turned on the TV, but it was just snow (visual static) and noise (audio static)".
vibe. Vibe coding. How software is shifting from static, retrieval-based systems to real-time generative experiences, where AI creates unique outputs for every user based on context, prompts, and circumstances, driving the need for AI factories to generate content instantly at global scale .Although it can boost individuals’ creativity, it seems to homogenize and flatten our collective output.
Jensen Huang on the Rise of Real-Time Generative Software
NVIDIA CEO Jensen Huang explained how software is shifting from static, retrieval-based systems to real-time generative experiences, where AI creates unique outputs for every user based on context, prompts, and circumstances, driving the need for AI factories to generate content instantly at global scale.
Although it can boost individuals’ creativity, it seems to homogenize and flatten our collective output.
AI can make you more creative—but it has limits
technologyreview.com
AI can make you more creative—but it has limits
雖然人工智慧可以提升個人的創造力,但它似乎會使我們的集體產出趨於同質化和扁平化。
AI Overview
Vibe coding is a software development practice where users describe their desired application in natural language, and an AI generates the code for them. It shifts the focus from writing code to communicating with an AI, making app development more accessible, faster, and more creative by letting users focus on the outcome rather than technical details. This method is often compared to a manager guiding a development team or a carpenter using power tools.
Vibe Coding 很夯,讓 AI 來幫自己寫程式聽起來很簡單,但如果寫了一百個軟體,卻沒有商業價值,也只是白忙一場。遺憾的是,很多人沉溺於跟 AI 互動,卻沒有認真思考,生成出來的程式或網站,到底解決了什麼問題?能不能提供價值?
什麼叫做 Vibe Coding 呢?如果直翻成中文的話,叫做「氛圍編碼」,但白話一點講的話,就是讓 AI 來幫自己生成程式碼,然後只要「感覺」不對,就下指令讓 AI 調整成自己想要的樣子,其實跟下指令讓 AI 生成一篇文章差不多。
具體來說,Vibe Coding 怎麼做呢?在課堂上,Sting 要大家打開免費的 Google AI Studio,這是一位很強大的夥伴!你只要簡單的輸入指令,像是「請幫我做一個社群網站,介面跟 Threads 一樣」,等一段時間,Google AI Studio 就會做給你(見附圖)。當然,你也會發現,就只有介面而已,網站本身沒有功能,按什麼都不會動,但是接下來你可以一步一步要求 AI 幫你陸續把功能完善,像是「按了發文者的頭像,可以進行私訊對話」,然後 AI 就會開始寫程式,等一下你就可以開始進行對話了。推薦大家試試看,體驗一下什麼叫做 Vibe Coding,非常神奇!
我在課堂上,也馬上要 AI 幫我生成一個網站。我每天固定會追蹤科技領域和財經領域的新聞和趨勢,其中科技領域最常逛的是 Techmeme,是一個財經新聞的聚合網站,幫忙整理社群上最多人討論、有多方來源的科技新聞,但可惜的是財經領域沒有這樣的網站,所以我很想請 AI 幫我做一個。很快的,我就拿到了一個什麼內容都沒有的網站,因為 AI 不知道怎麼取得新聞來源,所以我跟 AI 說,透過各個媒體網站的 RSS 獲得新聞來源,一個很接近 Techmeme 的財經新聞聚合網站就誕生了!
透過 Sting 的教學,我充分的感受到了 AI 就像是阿拉丁神燈裡面跑出來的精靈,只要你許願,它就會幫你實現!而且我透過和 AI 將近一百次的來回對話,竟然讓這個財經新聞聚合網站越來越完美!原來我也可以在不寫程式的情況下,把我想要的網站做出來!甚至覺得這個網站很值得付費!
想讓自己轉型成一位 AI First 的人才嗎?想讓自己學會如何對 AI 許願,夢想就能實現嗎?這堂課你一定不能錯過!
沒有留言:
張貼留言