設為首頁  加入最愛網
會員中心 贊助提供 徵求志工 線上電台 優惠精品 合作夥伴 關於我們 連絡我們
 
         
  首頁 > 影音網>AI 圖像生成設計創作與討論 by Lovart
AI 圖像生成設計創作與討論 by Lovart

[轉載自:Youtube]

[謝鎮寬]於2026-02-03 12:02:02上傳[]

 




CH 1





AI 圖像生成設計創作與討論 
by Lovart

The article on TaiwanUS.net provides details for an event titled "AI Design Jam With Lovart + Panel Discussion," which took place on January 28, 2026, in Palo Alto, California.

​Here is a summary of the event details:
​Overview

​The event focused on AI-powered design and creative collaboration, featuring Lovart.ai, described as the "world's first all-in-one design agent." It was intended for designers, founders, marketers, and creative technologists to explore AI-native design workflows.

​Key Highlights
​Fireside Panel: Featured industry leaders from companies like Meta, Eleven Labs, Zoom, and Microsoft (including Sandy Diao, Matty Shimura, Peng Zheng, and Yan Liu). They discussed how design thinking is evolving to become AI-native.
​Live Demos: Showcased new features of Lovart that accelerate ideation and visual design.
​AI Design Hackathon: A hands-on session where participants built creative projects using Lovart, either solo or in teams, with the chance to win a free annual "Lovart Pro" membership.
​Networking: The schedule included time for food, drinks, and professional networking within the design and startup community.

​Partners and Hosts
​The event was co-hosted by:
​MirWork: An AI Talent Intelligence platform.
​Startup Island TAIWAN (SIT) - Silicon Valley Hub: An organization acting as a bridge between Taiwan’s innovation ecosystem and global markets.
​The post was uploaded to the TaiwanUS.net portal by Hsieh Chin-kuan on January 29, 2026, archiving the event's promotional details and agenda.


AI Design Jam With Lovart + Panel Discussion
與 Lovart 進行 AI 設計創作 + 小組討論

時間:January 28, 2026 Wednesday 6:00 PM - 9:00 PM

地點:299 California Ave, Suite 300 Palo Alto, CA 94396

https://luma.com/8zbigpas

Join us for an evening of creativity, collaboration, and AI-powered design with Lovart.ai — the world’s first all-in-one design agent.

​This fast-paced AI Design Jam blends hands-on building, a fireside panel on AI-native design workflows, live demos, snacks, merch, and a chance to win a free annual Lovart Pro membership.

​Whether you’re a designer, founder, marketer, or creative technologist, this event is designed to spark new ideas, encourage cross-functional thinking, and foster meaningful connections across the design and startup community.

​🎤 Panelists

​Sandy Diao — Growth | Meta, Pinterest, Descript

​Matty Shimura — Creator Competition | Eleven Labs

​Peng Zheng — Lead Product Designer | Zoom

​Yan Liu — Principal Product Designer | Microsoft

​(Moderator: Sylvia Liu — CSO at Lovart | Ex Meta)

​⭐ What to Expect

​Fireside panel with industry and academic leaders
When design thinking becomes AI-native

​Live demo: Lovart’s newest features
See how AI can accelerate ideation, visual design, and iteration

​AI Design Hackathon
Build creative projects with Lovart — solo or in teams

​Prizes + Perks
🏆 Winner receives a FREE year of Lovart Pro; all participants receive a FREE month of Lovart Pro
Snacks, drinks, and great vibes

​🗓 Agenda
​6:00–6:20 PM — Arrival, food & drinks, networking
6:20–7:15 PM — Fireside Panel
7:15–7:25 PM — Live Demo: Lovart’s New Features
7:25–8:10 PM — AI Design Hackathon with Lovart
8:10–8:30 PM — Presentations + Judging
8:30–9:00 PM — Winner Announcement + Networking

​Cohosts:

​MirWork is the world's first AI Talent Intelligence platform that connect professionals with hiring team.

​About Startup Island TAIWAN (SIT)- Silicon Valley Hub

​The Hub is a vital bridge connecting Taiwan’s strengths with global market opportunities. It links Taiwan’s innovation with international ecosystems, fostering deep collaboration between Taiwan and the world.

現場影音

這讓我們感到非常幸運和高興。但是,我們需要做得更多,我們希望與我們的社區有更多合作。這就是我們舉辦這些活動的原因,也是我們產品的快速概覽。我們是設計代理,所以我們在右側有一個代理,用於與設計中心(例如 GT 或 Venice)進行交互,左側是一個類似於 Figma 的畫布。我們深受許多設計師的喜愛,因為他們喜歡在校園環境中工作,並能夠利用代理商和聊天機器人來輔助規劃等等,這可以完成許多繁重的設計工作。我想快速地向大家展示一下我們的網站。我真的很想展示一下,因為這個網站可能在一周內就會被棄用。嗯,我們剛推出這個網站的時候,它的設計就受到了社區裡很多設計師的喜愛,這背後有個有趣的故事。我們當時想找一個聽起來有點法式的名字,以此來表達對所有偉大藝術家和歐洲風格的敬意。我們也想打造一個真正能讓人工作的AI代理。所以,它應該是一個有點法式、精緻優雅的名字。我們最初的想法是,利用AI來賦能所有創意人士。無論他們是否擁有專業技能,都能利用那些偉大的創意人才,他們為創意、藝術和設計的發展做出了貢獻。所以,如果你玩玩我們的網站,你會發現它其實有一個很有趣的動態效果。這是Lar,它藏在那些優美的線條後面。這是我堅持要添加的女性形象。所以,我們很快就會推出全新的設計和品牌形象。如果您喜歡現在的版本,請抓緊時間體驗,因為它很快就會被棄用。嗯,因為我們稍後會進行現場演示,所以我不會在這裡停留太久。接下來我要進入我們的小組討論環節。
哦,我忘了說,如果您想了解更多關於我們的信息,並且我相信您在參加設計挑戰賽時已經被要求提供電子郵件地址來註冊Lar,我們的團隊會為您分配一個免費會員資格,供您試用Low Bar。所以如果您還沒有註冊,我們需要您擁有一個有效的帳戶才能為您分配會員資格。所以,在你等待電話的時候,可以試試看。如果你想了解更多關於我們的信息,請在Instagram和X上關注我們,我們會在那裡發布很多作品。我是Sylvia,如果你發現任何…或對我們的產品有任何回饋,或有任何合作想法,歡迎隨時透過LinkedIn或Twitter聯繫我,我很樂意收到你的訊息。嗯,Maddie。在我們開始小組討論之前,Maddie,我們的小組成員之一,我請他來做個介紹。他想跟大家分享一下這個很棒的…
謝謝。非常感謝你的介紹。大家好,我叫Maddie。我在11的全職工作是負責推廣獎項,也就是我們的奧運、電影、音樂、視訊和遊戲。我們稍後還有時間,我想我們可以播放一小段影片。嗯,我們是世界上最大的AI電影競賽。我們超越了T台走秀、實驗音頻,幾乎涵蓋了你能想到的任何東西,因為它不僅僅是黑白的。這是一個涵蓋廣泛領域的項目,擁有許多優秀的贊助商,包括Google、White Dance、Adobe等等。在基礎模式或公司方面,我們真正努力展現的是團結一致,而不是像螃蟹一樣互相拆台,因為現在反人工智慧的情緒非常高漲。我們該如何展現我們的團結呢?
我們為參與者提供價值百萬美元的免費試用,所有贊助商都提供了19萬美元的現金獎勵,以及各種各樣的工作機會。我們正努力將其規模擴大,使其達到……(此處原文似乎有誤,無法翻譯)。感謝您今天邀請我來到這裡。請造訪promo awards.com查看上一季的所有獲獎者。我們還有一個小型平台,您也可以註冊下一季的活動,下一季將會更加盛大精彩。我們將透過程式設計建立一個廣告部門,讓人們能夠直接與品牌合作,提交簡報,並由品牌方選出獲獎者。
當然,我也可以播放影片。這是對之前內容的簡要回顧。
以上內容均來自我們25個不同類別的得獎者。表現非常出色。許多這類長篇內容在社群媒體上的效果並不理想。我們努力為所有這些內容提供素材。
全部
好的。謝謝你,Maddie。嗯,其實我認識很多電影製作人,他們用人工智慧來錄製視頻,所以我們正在嘗試看看,看看這些獲獎的創作者是否會選擇我們的產品。好的,現在開始小組討論。
我們邀請到了來自微軟的Sandy、Mandy和Tom。在正式開始之前,我先讓他們每個人自我介紹一下。
八年
討論
已經。我所做的每一件事都以某種方式與創意相關,無論是影片還是廣告創意。我非常興奮能參與今天的討論。我在微軟工作,同時也
做諮詢。所以,是的,很高興今天能加入小組討論。
好的,我們今天的爐邊談話小組討論的主題是創意機構和原生世界。事實上,在正式開始之前,我想請大家舉手示意一下。大家的角色是什麼?我想看看這裡有設計師嗎?
有產品經理嗎?
創始人嗎?
還有誰?行銷人員、產品經理、工程師。好的。一位創辦人兼工程師。好的。酷。我們了解了觀眾,很高興設計師們至今仍佔據了觀眾的很大一部分。所以,很高興能讓每個人都參與其中。最後我們會留一些時間來回答問題。不過今天我們想繼續討論這個話題,畢竟距離我們上次舉辦這個活動已經過去幾年了,它一直在改變和影響著我們的世界,帶來了很多變化。當然,去年我們和大家合作,所以大家可能都累積了很多經驗,嘗試了各種各樣的東西,小組成員也分享了他們的經驗。今天我們就直接進入正題。第一個問題是,我想問大家,或者說,有沒有特別想談談自己觀點的人,我們也可以重點討論。那麼,與一年前相比,你覺得如今你的創意工作流程中哪個部分在結構上變化最大?我想請各位分享一個具體的例子,說說人工智慧真正讓你感到驚喜,並解鎖了你以前從未想過要做的事情的那一刻。好的,我先來。我覺得設計產業從去年開始經歷了一場巨大的變革。就在上週,我遇到了一些在谷歌做設計的朋友,他們提到他們已經很久沒用過 Figma 了。這讓我很驚訝,因為過去幾年我們設計師幾乎都離不開 Figma,從腦力激盪到原型製作,我們幾乎什麼都用 Figma 來做。有人提到他們已經很久沒用 Figma 了。對我來說,我仍然會混合使用不同的工具。我會用 Figma,也會用很多網頁編碼工具,但我還是會做設計工作。但我注意到,圖形設計正從以前在 Figma 上繪製草圖或設計像素圖,逐漸過渡到直接編寫網頁程式碼。這是一個很大的趨勢,我認為今年會更加明顯。對我來說,從設計到編碼的流程也發生了很大的變化。以前,我們設計完後,可能會和經理開會,確定方向和策略,然後再進行設計。但現在,我們很多時候直接使用網頁工具,嘗試各種想法,這些工具也確實幫助我們集思廣益,產生許多很棒的想法。我們利用網絡,可以快速地向工程師演示,這可以節省我們大量的時間。所以我覺得流程真的發生了很大的變化,從以前那種從設計到編碼的線性流程,到現在所有環節都緊密協作,設計師可以編碼,程式設計師可以設計,專案經理可以包辦一切。我感覺變化真的很快,我很期待今年的發展,感覺會有越來越多的事情發生,每個人都在學習新的技能,理解新的事物。
是的,我也想分享一下我的經驗。我最著迷的一點就是人工智慧概念驗證的驚人現實性。舉個例子,大約一年半前,我曾與一家名為 Limitless 的公司合作。他們開發了一種可以佩戴的硬體吊墜,能夠記錄或轉錄周圍發生的一切對話,無論是與伴侶在走廊上的閒聊,還是與同事的對話。當時,我們使用的是 GPT 影像生成技術最基礎的版本,光是這個工具就創建了一個原型,並建立了一個落地頁,結果就透過這次體驗獲得了數萬份預購訂單。這與我們幾年前所見的景象截然不同。我曾在一家名為Indiegogo的公司工作,這是一個眾籌平台,為許多如今廣受歡迎的消費性電子產品籌款,例如Oculus、Snapchat眼鏡、頂級相機等等。很多硬體產品都起源於群眾募資。但當時,如果創辦人或團隊想要設計一款可以量產的產品,就必須聘請工業設計師,在設計過程中投入大量資金。而現在,我們團隊雖然並非硬體出身,職業生涯中也從未涉足硬體製造,但他們憑藉著出色的創意設計,接到了大量訂單,並在一年內完成了產品的生產。所以我認為生成式人工智慧的力量,你知道,確實展現了這種鮮明的對比,概念驗證所能提供的真實感令人難以置信,LLM(生命週期管理)也賦予了我們多大的權力,讓我們在構建像硬體這樣傳統上難以觸及的東西時,能夠考慮許多不同的變量和因素。

對我來說,人工智慧最大的飛躍並非在於它本身,當然,有許多類似的技術。而在於社群,因為創作者,尤其是電影製作人,喜新厭舊。他們會轉向任何熱門的東西,而留住用戶群是件難事,而這恰恰是最重要的。

所以,你需要培養社群才能建立起真正的社群。人們常常批評人工智慧冷酷無情,但正是握手、面對面的交流,才是促成交易和組建團隊的真正方式。所以我們嘗試投入大量精力到面對面的交流活動中,例如小型即興創作和一日黑客馬拉松,因為我認為這是彌合人工智慧與大眾之間鴻溝的關鍵。目前存在著許多反人工智慧的情緒,但他們本質上就是我們的目標受眾。我們用「更便宜、更好、更快」的顛覆性訊息來疏遠他們,這種訊息雖然聽起來很誘人,但卻是藝術家和創意人士的專屬。那麼,如何才能實際表達他們真正關心的是什麼?如何讓他們明白,我們不是要剝奪什麼,而是要創造更多價值?我認為這就是

我認為擁抱人工智慧

這是一個正在發生的真正趨勢,我可以分享一個我個人的經驗。就在兩天前,我正在設計一個功能

產品,然後我心想,這是一個非常神奇的測試,因為他們只是使用了我們設計系統中的構建模組,然後我為什麼不嘗試呢?於是我聯絡了工程師,請他們幫我搭建環境來運作這個回傳的元件系統。

然後我就可以像一個真正的原型一樣進行操作,而不是連接或靜態的盒子。然後我提交了程式碼,推送了我的第一個 PR,程式碼被接受,連接到了後端 API。這是一個真實的例子,過去需要我一天才能完成的事情,現在只需 20 分鐘就能搞定。作為設計師,我們可以真正深入細節,並透過不同的功能或添加來降低溝通成本。所以它真的帶來了幾乎無限的可能性。更新。它讓不可能的事情變成了可能,速度提升了 10 倍。
太棒了。喜歡分享這些想法和見解。我只想快速地補充一點。我想,嗯,我們正在談論的是
是的,我們之前在討論工作流程的轉變,但我其實想換個方式說。我常聽到人們說現在的界限不一樣了,就像以前不一樣了一樣,現在你可以透過突破界限,嘗試使用工具去做以前做不到的事情,從而做更多的事情。我從Sandy和Maddie那裡了解到,在不同的組織和團隊中,他們是如何利用人工智慧來更快地行動並創造更多成果的。 Maddie說的也很有道理。我們希望舉辦這樣的活動,吸引更多人參與。實際上,關於今天的主題,我們最初想把它叫做“設計挑戰”,但我把它改成了“設計訓練營”,因為我想讓它更有趣一些。所以無論你是否有經驗,都可以來參加。我認為這些正是我們在AIA(美國建築師協會)努力的方向,只要你有想法,就可以嘗試,結果可能會非常出乎意料。我認為對於設計師來說,人工智慧現在真的非常非常重要。他們過去更專注於設計,但現在看來他們也能交付產品了,所以看到去年取得這樣的進展真的非常非常令人欣慰。那麼,我想知道你在日常工作中遇到哪些摩擦?在你的日常工作中,你覺得人工智慧在哪些方面仍然會造成摩擦或限制?你希望人工智慧現在具備哪些能力,或在哪些方面做得更好?你需要做些什麼才能更有信心依賴人工智慧?

我認為我面臨的一個挑戰是,我不知道我不知道什麼。我的意思是,人工智慧賦能設計師。

但有時,當執行成本變得如此之低時,真正的問題就變成了:你想創造什麼?從這個角度來看,人工智慧就像一面鏡子。它反映了你真正的自我,你想要創造什麼,以及你想為這個世界創造什麼。每個人都是內在的產物,只是需要合適的環境和工具來將其視覺化。

我認為創作者最大的限制不在於如何使用工具,而是他們為什麼要使用這些工具。也就是說,他們使用人工智慧的目的並非只是為了噱頭,而是為了更有意義的目標。我認為任何人都可以花40到80個小時觀看各種YouTube教程,達到一些頂級人工智慧創作者的水平,但真正的區別在於創造力,在於批判性思維能力,在於能夠選擇、捨棄或迭代輸出,而這些技能需要大量的時間才能培養。這並非一朝一夕就能掌握的技能,所以我認為在座各位擁有傳統背景的人,他們的技能組合極為寶貴。正如你所說,那些「人工智慧原生創作者」只了解自己所知道的,他們之所以沒有面臨這些挑戰,只是因為他們沒有機會進行創作,因為那些機會之門尚未敞開。因此,我認為,對於那些想要成為創作者的人來說,應該研究如何創造一個精彩的故事,而不是只是試圖模仿或忽略那些讓我們走到今天這一步的傳統。

我目前在使用人工智慧方面遇到的挑戰是,隨著我的成長,我與創意、設計以及所有創意事物之間的關係實際上都非常依賴數據。這意味著,一般來說,我需要最好的工具才能在不同類型的平台上做到最好。例如,如果我要投放廣告,我需要一個工具或某種方法來創建專門針對 Instagram Reels、TikTok 或 YouTube 等平台的創意內容。不幸的是,你需要了解每個平台上「好」的標準。所以,這或許並非我希望人工智慧能幫我做得更好的地方,但我感到沮喪的一點是,我們用於成長的工具組合非常分散。我有一個專門用於創建社交短片的工具,一個用於生成廣告影片、UDC風格內容、創建平面設計等等的工具,對吧?所以,如果我必須認真學習如何使用所有這些工具,為每個工具付費,然後還要弄清楚如何將它們匯出並上傳到同一個平台和系統,這實際上非常繁瑣。而且你還得記住這些操作,還要訓練其他人如何使用。當然,也有一些工具可以完成所有這些工作。例如,你可以使用GPT或Gemini來完成上述所有工作。然而,我發現它們的性能以及我看到的關於它們最終性能的數據實際上並沒有比一些專門的解決方案更好。所以我希望這些工具能夠進行某種整合,或是在這些工具的資料中採用某種共享的統一格式。
我覺得這就像所有關於產品的思考和感覺,例如你必須決定「速度」的意思。我記得有人在網路上提到過,「速度」指的是「敏感度」加上「標準」。敏感度指的是如何接收訊息,例如你覺得這個好還是那個不好。你如何真正比較不同的產品。標準指的是你認為如何定義一個好產品,或是一個不好的產品。這就是標準和評判標準。也許人們會根據不同的理解有不同的評判標準,但如果你擁有一套系統來真正理解產品的工作原理,我認為這非常重要。對我來說,情況絕對應該由我們自己來決定。人工智慧可以為你產生幾十甚至幾百個解決方案,但我們自己知道哪個更好,或者你想選擇哪個。我認為這仍然是人工智慧無法取代的。

在我所做的一些工作中。目前,我完全信任人工智慧在創作過程中能夠勝任的一個領域是許多前期製作流程。例如,如果我要拍攝一個很長的視頻,我想把它剪輯成短片,以便在不同的社交媒體平台上發布。我完全信任人工智慧能夠完成這個初步的粗剪,大概可以達到70%的完成度。但剩下的30%的潤飾工作,我認為真正能提升作品品味、增強品牌形象並與客戶產生共鳴的,需要我運用自己的判斷力,結合對目標和客戶群的理解,在流程的最後階段進行精細的打磨。所以我覺得我現在使用人工智慧的方式,以及我最信任人工智慧的地方,就是我通常所說的粗剪階段。對我來說,運用人類的判斷力來完成剩下的部分,進行最後的潤色,這能帶來一些背景信息,而這些信息在結構化的工作中可能比較難把握。

對我來說,因為在舉辦比賽時,需要頻繁地切換不同的工作,例如組織見面會、會見贊助商、發送大量郵件、評判參賽作品、為那些因為作品沒有被審核而感到不滿的參賽者提供客戶支持等等。我希望能夠更自動化,但很多時候,這最終還是取決於人性,人需要真誠對待他人。所以,我希望能夠放棄一些工作。我覺得我發現真正幫助我的是,我節省了好幾週的時間。我經常用谷歌表格,然後用 Gemini 購買程式碼,做一些非常強大的事情。我在大學學過一點計算機科學,但沒有主修。能夠清楚知道自己想要什麼,並用自然語言描述出來,這對我來說非常重要。

對我來說,我認為關鍵在於掌控人工智慧,在於能夠明確表達我的需求。所以,一旦你擁有合適的資源,它就能很好地執行。但是,困難在於如何用恰當的方式表達你的需求。

我認為對很多人來說,學習曲線很陡峭,因為它對結果的要求非常具體,但就像資訊熵一樣,你需要提供最少的信息,以及你能提供多少資訊才能產生好的結果。這非常微妙。

謝謝。嗯,我聽到了一些非常有趣的事情。我特別喜歡聖地牙哥談論人與人工智慧關係的方式。我認為這是一個非常好的方式,可以思考未來會是什麼樣子,以及品味、訊息,還有訊息的類型。我認為這也與我們和它之間的關係有關。就我作為設計代理人的經驗而言,我們與各種不同的角色合作,答案也各不相同。在某些領域,用戶希望擁有更多主導權和控制權,但像我這樣沒有相關背景的人,通常只是從手機開始,例如“哦,我想要這個,我想要一個品牌資產……”,這就是我的起點。所以我意識到還有很多未知數,這種關係會不斷演變,在不同的角色和不同的時間點,可能會出現更多控制權,更少讓AI主導的情況,但它也可能保持動態變化。謝謝。嗯,我的下一個問題很有趣。我最近讀到一本Campaign在2016年出版的白皮書,名為《基於設計的初始狀態》,其中提到原始、富有表現力、不那麼激進的輸出將成為新的趨勢,也就是說,人工智慧基本上會輸出所有看起來…
這看起來非常完美,但你能看出這是人工智慧生成的,所以添加人類特質就成了……至少Canvas用戶和他們的研究試圖……擺脫的東西。嗯,所以我想問各位嘉賓,你們怎麼看?你們認同嗎?還是認為這只是通用人工智慧內容的一種模仿,不會長久?

嗯,我認為這實際上與我們模型的工作原理以及人類的本性有關,我們有些人天生就喜歡人類,

隨心所欲。但最棒的是,人工智慧可以讓你把分區部分特別留給它。就像設計師過去常常糾結於這個問題,例如是否該為圖層命名?是否應該給文件命名為“最終版本”?嗯,開玩笑的。人們從來不整理瀏覽器標籤頁和雜亂的桌面,但對你來說…嗯,然後就像讓AI做它擅長的事,讓我們…

就像你所提到的人性,它並不總是完美的,它既有光明的一面,也有黑暗的一面。你需要展現這兩面。嗯,要展現這種二元性,而且我認為對於AI電影製作來說也是如此。我看過太多千篇一律的故事,比如賽博格女孩XYZ等等,我想看到更多與創作者個人故事相關的作品,更真實、更坦誠,講述他們可能遭受的創傷,展現他們脆弱的一面,展現那些無需徵得許可就能獲得這些既有好處也有弊端的事物的媒介。但是,嗯,回到最初的問題,我認為它包含了人性中關於藝術和作品的思考,

從成長的角度來看,這很有趣。我們發現,刻意追求不完美其實是一種表演。我的意思是,我合作的許多公司都在使用一種稱為UDC(用戶生成內容)的頂級管道。這類影片或圖片就是你在瀏覽社群媒體時常看到的那種,例如有人對著鏡頭,用手機評測產品,對吧?他們會告訴你產品的優點和缺點,但這種評估卻給人一種非常真實可信的感覺。所以對我來說,「設計上的不完美」實際上反映了人們如何看待他們信任和相信的東西,對吧?你知道,我認為我們中的一些人,或者說很多人,都厭倦了被推銷產品。我們厭倦了被行銷,有時那種精心包裝反而顯得格外虛偽。所以,我認為當我們看到人工智慧內容時,我們知道它是人工智慧生成的,但我們內心深處也意識到,這些內容的背後肯定有幕後操縱者。我覺得正因如此,消費者,或者說你我,每天看到這類內容時,都會覺得有人想藉此傳達一些訊息,而不是刻意追求完美。我們喜歡用戶生成的內容,喜歡社群媒體上那種自然而然的反應,喜歡看到那些未經修飾、未經雕琢的內容,因為它們感覺很真實。我認為,從人性的角度來看,我們渴望更真實的事物,渴望建立聯繫,渴望信任那些告訴我們訊息的人。所以,我覺得這一切都是息息相關的。
是啊,一樣。嗯,我完全同意,因為我感覺我已經對它感到厭倦了。我以前真的很喜歡筆記本,它現在仍然是一個強大的工具,但我感覺每次我看它生成摘要或資訊圖的時候,都感覺太人工智慧了,看得我好累。最近我又開始用回傳統的看影片或閱讀的方式,感覺更好。因為我不知道別人怎麼想,我覺得有時候我們不需要那麼高的智慧或效率。筆記本確實可以在一分鐘內產生一本書的摘要,但它也會讓你放棄閱讀一本真正能引起共鳴的書的計畫。所以對我來說,我已經回歸到這種模式了。嗯,我覺得大家都覺得,效果越自然、越不完美、越原始越好。但關鍵在於,我們究竟該如何將人類的智慧融入人工智慧?是透過人工提示,還是透過模型?這該如何實現?所以,我認為最根本的問題是,我們究竟該如何實現?或許我們可以安排人工來篩選輸出,或是一開始就用模型來優化效果。所以,我覺得這是一個持續存在的問題。嗯,是的。但對我來說,我已經開始回歸我以前的做法,感覺效果好得多。這太棒了,真的引起了我的共鳴。我覺得我聽到了人性的本質和我們所相信的東西。我真的覺得,我們今天所做的一切都與自我表達有關,而這部分對每個人都至關重要。我相信這就是我所相信的,使用人工智慧有時會非常……嗯,也可能非常……嗯,你知道,所有輸出都很快,看起來也很完美,但你真正想要傳達和分享的聲音是什麼?這就是你與真人建立聯繫的方式,而這正是人工智慧時代將會發生的事情。所以,感謝你分享所有這些精彩的想法。嗯,我只想補充一點,我和很多設計師都討論過這個問題,其中一個問題是,你認為設計是什麼?一位設計師告訴我,她認為設計是關於關懷他人,是關於人際關係,是關於你創造的東西,這些東西能夠真正讓對方感到更好、被關懷。這個答案深深打動了我。未來的設計應該是什麼樣子?就像你剛才說的,我們可以談談,我們可以用「不完美設計」這樣簡單的說法來談論人性,但現實遠不止於此。感謝你的分享,那麼,我們還有一個問題。接下來我們要快速進入個人問答環節。這是一個很有趣的問題。假設兩年後,你認為真正能在綠色領域中脫穎而出的是哪些人?我們之前已經討論過這一點。或者,是那些真正精通亞洲人工智慧工具的人,例如人工智慧工具大師。那麼,你個人會如何看待自己的職涯呢?以及你認為未來最重要的技能是什麼?

說實話,考慮到科技發展的速度,我無法想像兩年後會發生什麼事。但我認為,就像人類思考和解決問題的方式一樣,能夠擁有清晰的思路和創造力,這本身就是一個問題。現在,創作出你想要的作品是如此容易,而真正的問題是:為什麼要創作?

能夠以清晰的方式建構你的作品,從而實現目標。我認為…

把人看作一種產品是有益的。展望未來兩年,我認為那些能夠快速迭代、不完美,並且更注重工具和技能的人,而不是那些在競爭中追求勝利的人,那些能夠預測未來、擁有相關經驗並不斷學習的人,他們只需兩年就能取得成功。
嗯,我可能不是提供設計職業建議的最佳人選,但我可以分享我從合作過的所有組織中觀察到的情況。至於Sylvia提出的問題,我們應該著重培養自己的品味判斷力,還是應該提陞技能,例如管理人工智慧、智能體和流程編排?我的答案,也是我在最成功的團隊和個人身上看到的,其實兩者兼具。嗯,我觀察到的一個趨勢是,最成功的組織其實都在建立通才團隊。這意味著,如果你更傾向於成為品味引領者,擁有非常強烈的觀點和判斷力,你仍然需要具備一定的技能,能夠執行,或者至少了解如何借助人工智慧工具和智能體來執行,對吧?另一方面,如果你目前的主要工作是執行,或使用人工智慧工具和智能體,你也需要能夠兼顧不同的視野和品味,形成更全面的觀點。因為這些工具能讓你的工作效率更高,所以你其實有更多時間思考這類問題。我還想補充第三個維度,你知道,根據我的觀察,在成長方面,我今天一開始就說過,我對設計的態度,你知道,是建立在大量數據之上的。我確實認為數據必須是三維的,因為很多時候,我們需要驗證人工智慧代理和人工智慧為我們輸出的工作成果是否真的有效。我們常常告訴自己“這很好”,對吧?很多時候,我們自己會決定什麼是好的,但當真正把成果推向市場時,我們必須查看數據是否顯示客戶有反應,人們是否真的喜歡它,是否以我們設想和預期的方式給予正面的回饋。所以我認為,這三重奏,我的理想願景是,我們合作的設計師和創意人員,既要有品味,又要能協調人工智慧代理的工作,還要能利用和理解數據來幫助迭代和持續改進。嗯,我也有類似的想法,肯定也是如此,人們應該既有品味又能感知回饋。所以,你們有些人問了關於職涯發展的第二個問題,對吧?我想談談這個。嗯,這其中有幾個面向。第一個目標就像我之前提到的那樣,就是開發一些東西。所以我今年的目標是真正在應用程式商店裡發布我的應用程式。我正在努力實現這個目標。我覺得從頭到尾了解整個流程非常有趣。以前我只能設計東西,但現在有了工具,我也可以嘗試學習編程,並真正地把我的應用程式部署到應用程式商店。這對我來說非常驚喜,也很有成就感。我以前從未有過這樣的經驗。所以我的目標是真正地開發項目,你不必非得加入新創公司,你可以在業餘時間做你的工作。你可以開發一些東西純粹是為了好玩。你可以把它當成娛樂,甚至賺錢。我有些朋友辭掉了工作,成為了獨立開發者,他靠訂閱賺了很多錢。這也是一種生活方式,如果你對此感興趣的話。我覺得另一個非常重要的面向是打造個人智慧財產權。因為我也是內容創作者,所以我能看出它現在有多重要,甚至比以前更重要。很多人都在開發產品,但真正的問題在於如何分發,如何讓別人知道你有產品並願意使用。我注意到,像一些網紅這樣的人,他們開發產品的方式要簡單得多,而且可以很快啟動。所以,我學到的一點是,要打造一些東西,或創作大量內容,努力在公眾中建立自己的影響力。我認為這在這個領域也非常重要。太棒了。所以,聽起來品味也很重要,而且能運用兩者也很重要。我想,如果你使用設計代理,你可以節省設計時間,這樣你就有更多的時間來寫程式碼,增加更多內容,對吧?說到這一點,很多時候,口味其實非常主觀,儘管有些人試圖給它下定義,例如蘋果味、情感味等等,但我認為這方面主要關注的是人們的感受。所以,數據本質上就是每個人對某些事物的反應。這是一個非常值得我們思考的好點子。好了,我們接下來是個人發言環節,我會盡量快點。
這個想法非常棒,值得我們好好思考。好的,接下來是個人問答環節,我會盡量快點,這樣我們就能有更多時間提問。首先,Sandy,我有個問題想問你。當創意變得……實際上,當創意變得……成本更低,甚至變得廉價且豐富時,有時其他因素就會成為瓶頸。根據你目前的經驗,人工智慧驅動的設計為你的發展帶來了哪些限製或挑戰?

這確實是個好問題,也是其他幾位嘉賓提到的一個主題。現在我們觸手可及人工智慧的力量,而我從事的成長工作涉及許多跨職能領域,包括設計、創意、培訓、廣告、產品等等。我們必須認真回答的一個問題是:哪些事情值得做?如果你曾經和成長團隊的同事一起討論過路線圖,你會發現他們列出了大約一百個項目,接下來的任務是如何決定優先順序、如何控制規模等等。現在很多成長團隊都在犯一個錯誤,那就是認為我們可以無限量地獲取創意素材,而且成本幾乎為零,所以就一股腦地生成20個廣告創意版本,然後全部測試一遍;或者對於SEO頁面,一口氣生成上千個落地頁,卻並沒有真正考慮這些。例如,要考慮SEO是否真的是最適合你的成長策略,或者所有這些不同的廣告創意是否值得測試,因為它們都是關於這種定位是否適合你的受眾的合理假設。所以我認為在某些方面你必須小心,因為人工智慧實際上可能會讓我們無緣無故地忙碌起來,沒有任何正當理由。我認為這是你們很多人,包括經紀人,在將他們的創意能力擴展到設計影片等領域時,都必須面對的挑戰之一。此外,如何培養這種判斷力並製定策略,而不是僅僅信任人工智慧篩選出的所有東西,這一點非常非常重要。謝謝Sandy。我們先從Mark開始。嗯,你覺得怎麼樣?因為你與很多…抱歉,Maddie,非常抱歉。你與許多創作者合作,而且你可能會為了你的未來獎項而與越來越多的創作者合作。嗯,呃,你覺得如今的創作者除了製作更多內容或更好的混音之外,還做了哪些真正能建立觀眾信任的事情?
這可能跟原創性的發展方向有關。我覺得人們常常過度專注於視覺效果,因為你可以拍出一些驚豔的電影鏡頭。很多時候,創作者就像碰運氣,拍出一個看起來像《變形金剛》裡的鏡頭,然後整部電影就圍繞著這個鏡頭。我認為,我觀察到的,也是我認為能讓他們更上一層樓的關鍵,在於聲音設計、剪輯和拼接。這些我並不認為一定能建立信任,但它們確實能讓體驗更加…
打破常規。我想我們都看過電影,看過電視劇,你知道,當你看到一些不協調的地方時,真的會毀掉整個觀影體驗。有些AI軟影片爆紅網絡,一眼就能看出是AI做的,但我覺得大多數成功的影片其實並不在意是不是AI,它們只是講述了一個精彩的故事。
對所有這些視頻來說都很棒。
謝謝。最後一個問題問P和Yan。當你們開始在更大的組織中推廣AI輔助設計工作流程時,首先會出現哪些矛盾或權衡?或者說,最先出現的問題是什麼?
我認為,在組織中推廣AI,對我來說,關鍵不在於技術層面或如何學習工具,而是思考方式。我認為我們正處於範式轉移之中。人們可能需要重新定義自己的角色,或者說,過去10到20年,他們接受的培訓是高度細分且職責明確的行業工作。這種思維模式根深蒂固,認為這就是他們的工作。
這部電影講述的就是我的……嗯,這種感覺可能會開始減弱。所以我認為應該鼓勵人們……嗯,擁抱探索,去嘗試和看看。
哦,對我來說,要在大公司推廣人工智慧,最大的挑戰在於協調一致。我們團隊最近一直在積極學習人工智慧,你可以立刻明白,人們學習的方式各不相同。有人一夕之間就能做出東西,有人卻在設置階段就放棄了。所以我們真的需要花費大量的時間和精力來確保每個人都真正理解,尤其是對設計師來說,程式設計介面讓他們望而卻步。舉個例子,我們最近一直在學習雲端程式碼,大家可能知道,雲端程式碼是從終端開始的,這對設計師和工程師來說都是很常見的,你們可能對終端非常熟悉,但我們以前從未使用過,我的設計團隊成員都說:「我的天哪,這太難了,我不想嘗試,我們為什麼要用它? Figma 就很好。我們為什麼要嘗試那些很難的新事物呢?這樣才能真正展現它們的價值,而且,我們還可以設定一些挑戰或技巧,讓人們更加……我認為這也很重要。我想快速補充一下,關於大型組織中正在發生的事情:
如果Maddie和Sandy都同意,大家都在努力打破界限,努力建構和轉變,我注意到她們非常反對理解人們的知識水平各不相同,對不同事物的了解程度也不同。
我覺得我們很少談到這一點。我仍然相信設計工作,因為他們熱愛這份工作。
行銷人員的想法可能更側重於如何做。所以,我真的認為未來會非常多元化。謝謝。感謝分享。時間有點短了,但我仍然想看看觀眾有沒有什麼問題。我們可以…
感謝各位的參與。我們在這裡。嗯,這次演講很棒,我很喜歡。當你在擴充團隊,招募下一批設計師、下一批課程開發人員時,這一代人才肯定和上一代截然不同,對吧?新一代人才真正需要哪些技能或經驗?有哪些危險訊號?例如,某些行為不適合當前環境。那麼,你招募和組建團隊的原因是什麼?
總之,我可以繼續。嗯,我上週在社群媒體上看到一篇文章,主題是人工智慧時代是電影的黃金時代。想想看,就像現在人們可以用iPhone拍照一樣。很多年前,人們需要學習如何使用相機,但現在有了iPhone,人人都能拍照。道理是一樣的,你會發現很多年輕人,像是中國人,他們的工作能力甚至比許多資深人士還要強。所以我覺得人工智慧確實能縮小經驗與技能之間的差距,縮短經驗與技能之間的差距。因此,我認為人們真正接受新的思考方式非常重要,網站和工具的使用也絕對重要。我最近採訪了一些人,那些能夠展示強大的安全工具的人真的會脫穎而出,他們不需要多年的經驗,只需要你對產品應該如何運作的思考,這甚至比那些擁有多年經驗的人更重要。所以我認為現在對於年輕人和所有想要入門的人來說都是一個好時機。這就是為什麼我敢說
年輕人
我的意思是,即使是應屆畢業生,他們有時也能做得比人工智慧更好。
我認為下一代人才,嗯,就像我一樣,我真正重視兩點:一是熱情。嗯,他們充滿激情,並且擁有強烈的求知欲。二是學習和更新能力。這幾乎是一種金屬技能。你今天學到的東西很快就會過時。
其他。
是的,我有一個問題,與Pen之前的評論有點關聯。嗯,我想Pen提到過,設計軟體工程師可以進行設計,然後Pound也提到過,最近,雖然這個概念已經存在了10到20年,但它一直在變化。所以我的問題是,您認為現有的公司結構可能會如何改變?或者說,產品設計師未來可能如何重新定位?
是的,我無法預測組織將如何發展,但我認為現狀的存在是有原因的。
所以,要記錄人們開發的項目。最重要的收穫之一,就是增加專案人員並不一定意味著成本會呈指數級增長。就像我在Zoom上的工作一樣,我們幾乎每次會議都會用到Zoom,但公司的目的不是讓你開更多會,而是幫你召開這些會議。他們試圖消除溝通中的所有摩擦。我認為人工智慧在這方面可以發揮巨大的作用。我們都聽說過,很快就會出現“一人公司”,也許我們現在還不知道,但對於普通公司來說,溝通方式會改變。
除此之外,我認為這是一個非常棘手的問題,我認為企業也會很快經歷這場變革。我不想提裁員,因為裁員總是會發生,人們總是在討論人工智慧是否應該取代這些工作。坦白說,我看到了這種趨勢,它正在發生。它正在發生。但是,如何更好地定位自己,嗯,就像我們之前多次提到的那樣,比如工具,但還有一點,如果你從不真正依賴一家公司,這是我的看法,嗯,要對自己有感覺,想想如果你離開這家公司,你還能堅持什麼,還能展現什麼。嗯,我認為這對每個人來說都是最重要的,尤其是在韓國這種環境下,因為現在沒有什麼是穩定的,變化太快,所以要做好充分的準備,擁有更多元化的生活方式,比如副業、項目或其他任何內容,確保你做好萬全準備。所以,不妨開始一個副業項目。
還有其他問題嗎?
好的。現在聽清楚了。嗯,我盡量概括一下。根據大家的集體經驗,有沒有哪些職位看起來已經不再適合了?
我這麼說是因為我記得歷史上
你是否看到某些角色開始變得不那麼重要了?
或許需要一個能完全掌控權力的新角色。
例如,以前可能是銷售主管,但現在可能是
我認為任何與資訊基礎組織、資訊提取、搜尋、轉換等相關的角色都會變得重要。嗯,因為我之前就想到人工智慧會成為一個巨大的競爭對手,資料格式也會變得千變萬化。
所以我覺得,從基礎層面來說,營運資訊是這樣的:
我沒什麼要補充的了,我只想說,我目前看到的是,角色並沒有完全消失,而是不斷演變。我見過的一些營運案例中,有一個非常顯著的例子,至少在內容方面,成長尤其明顯。我以前的工作很多都是幫助公司擴大他們的SEO規模,對吧?這通常需要招募或外包給10多位撰稿人,特別是如果你是一家發布50到100篇SEO文章的公司。這種商業模式本質上是按文章付費,而且整個過程中涉及許多人,例如寫初稿的人、最終編輯、提供產品專業知識的人等等。所以,這裡面有很多人工幹預。但我覺得,如果我退後一步,仔細觀察一下其中的模式……我認為那些重複性強、流程繁瑣的任務,人工智慧(AI)有潛力將其自動化或應用智能體來處理,因為這些模式更容易配置到智能體中,也更容易解釋和訓練它們。而那些更複雜的任務,需要更多的人際溝通和討論,或是需要更多的輸入,就很難直接交給智能體。所以,抱歉,這可能沒有直接回答你的問題,但角色正在演變,我們最終可能會自動化處理的工作類型,正是那些更複雜的工作。
我想補充一點,我認為不隻角色在演變,組織也在演變。這並不是說某種角色會被淘汰。我相信未來會有新的角色出現,但人們需要發揮創造力,創造真正有意義的東西。所以,如果你喜歡親力親為,喜歡和人交流,現在有很多創業公司,和15年前類似,都在嘗試改變格局。所以我認為有很多新的機會和方法可以培養新的技能來適應。所以我建議你保持積極樂觀,四處看看,了解一下情況。非常感謝。這是小組討論,感謝大家的耐心,也感謝所有小組成員分享了這些精彩的觀點。我們可能要休息幾分鐘。對了,這裡有Wi-Fi,如果你還沒有新增或建立本機帳戶,請務必新增。我們稍後再回來。嗯,其實,在大家起床之前,我們會一起拍些照片,然後休息幾分鐘,大概7:40回來。之後我會做一個現場藝術演示。我真的很想向大家展示我們能做什麼,然後我們會切換到書籍和設計環節。非常感謝大家,感謝你們一直陪伴我們。我們能拍一些
360度全景嗎?
請大家看這裡,看這裡,大概三秒鐘。怎麼操作呢?大家看這裡。好的。看這裡。看這裡。我需要大家集中註意力五秒鐘。好的。看這裡三秒鐘。不要動。三、二、一。稍後會有一個視頻,然後我們再拍一個。再拍一個吧。嗯,這排的朋友們,你們可以……哦,到那邊去。嗯,如果你們想入鏡,就到我身後去。嗯,到我身後去。
好的,很好。很好。大家都轉過來。對,轉過來。如果你想讓我拍你的臉,就轉過來。如果不想拍,就不用轉過來。好的,看這裡。我會像之前一樣,照常進行。好的,從三開始倒數。三,二,一。好的。然後我就用我的iPhone拍一張普通的照片。好的。所以,所有想跟我合照的人,就到前面去。好的。好的。
看這裡。兩
再來一張。
這張更好。
好的。好的,很好。很好。很好。好的。一,二,三。
大家回到座位上,然後我們從前面幫大家拍一張合照。
好的。好的。
看凱文。不好意思。


Dialog recorded at scene

and fortunate and um make us really happy. Uh however, we need to do more um we want together with with our community more. That's why we're doing this this um events and this is a quick view of our product. We have because we are design agents. So we have a agent on the right side as how to interact with uh check uh I mean check GT or Venice and then on the left it's a canvas similar to Figma. So we got love by a lot of um designers because they love being able to work on the campus um and being able to leverage a agent the chatbot to help planning and all that does a lot of the heavy lifting of the design work. Um I want to quickly show you guys this um our website. Um I really really want to show it because this website is going to be deprecated in maybe within a week. Um when we first launched um this this website uh this design got uh loved by a lot of uh designers in the community because um a fun story um the name of our u because we were looking for a name that might sound a little French. So trying to respect all those you know great artists and um European style and we wanted to represent a real AI agent that someone would work for. So, it's supposed to be like a French kind of like fancy thing. And we um the idea in the beginning was that we wanted to leverage AI to empower all all the creatives out there. And everyone that has a professional skills or not, they're able to leverage all those like great um creative minds um that that that contributed to the development of creativity, art, and design. So our website if you um play play with it. So it actually has this interesting um motion. This is Lar. It's hiding behind all those great lines. And this is um I insisted to add a female figure in here. So uh we're going to have a new new design and new brand um brand identity coming up very soon. So if you like this, play with it until it's going to be deprecated very soon. Um, so I want to because we're going to do a live demo later, so I'm not going to spend too much time here. And I want to jump into our panel.
Oh, I forgot to mention um if you guys want to learn more um about us and um I'm sure you have been asked for your email address to sign up for Lar when we enter the design challenge you we're gonna our team is going to assign you a free membership for you to try out low bar. So if you haven't signed up we need you to to have an active account to be able to assign that membership. So try to do that while you are waiting on your phone and if you want to learn more about us and follow us on Instagram and X we post a lot of work there and again I'm Sylvia and if you find anything uh you have feedback about our product or any ideas to collaborate feel free to connect with me over LinkedIn or uh Twitter and love to hear from you. Um Maddie. So before we start our uh panel, um Maddie, one of our panelists and I let him do the intro. He wants to uh tell you about this amazing.
Thank you. So thank you so much for the introduction. Hi, my name is Maddie. I run the My full-time role at 11 is running the promo awards, which is our Olympics, film, music, videos, and games. We have time later at the end. I think we can show a little bit of video of it. Uh but we are the world's biggest AI film competition. We surpass runways, experimental audio, really anything that you could do because it's not just black and white. It's spectrum of work with a number of amazing sponsors from Google, White Dance, Adobe, uh you name it. when it comes to foundational models or companies really trying to show that we can be a united front rather than being the crab in the bucket who's tearing each other down since there's so much anti-AI sentiment. How can we show that we're together
for people a million dollars in free trials all these different sponsors $190,000 cash prizes and a variety of different jobs and really trying to scale it into something that could be as big as the appreciate you having me here today and um promo awards.com to see all of our winners from this past season. We have a little bit of a platform also register for our next season which is going to be even bigger and better you know by coding. We're going to building out an advertising division where people adirectly
with the brand where they're providing a brief where they're selecting their winners
that
Sure. I can play the video, too. It's a little bit of a recap from
So, this was all with footage from our winners across 25 different categories. Really outstanding showing. A lot of this long form content never does well. social media. We try to provide for all that
All
right. Thank you, Maddie. Um well so um I actually know a lot of film AI filmmakers they use for recording so we're trying to we'll see if um this creators from awards going to pick up our products. Um all right now panel.
So we have from Microsoft Sandy, Mandy and Tom. I will let each each one of them uh introduce themselves before we jump in.
for eight years
discussions
already. Everything that I do touches creative in some way whether it's videos or ad creative and really excited for today's conversation everyone I'm working at Microsoft and I'm also
consulting so yeah to join the panel today
right so our fireside chat um panel our topic today is creative agency and native world Um and actually before diving in I wanted to get a show of hands. Um how um what's everyone's role? I wanted to see any designers here
any product managers
founders
and who else? Marketers grow. engineers. Okay. A founder and engineer. Okay. Cool. So, we know the audience and so glad that I think designers still mix up the big chunk of this audience today. So, happy to really like involve everyone and um so at the end we're gonna have um time for questions. Um but today we want to still um have this conversation around um it's been a couple years since we um had this I changing interrupting into our world and and making a lot of changes and um of course last year the integ
partner to everyone. So a lot of probably a lot of experience um trying everything out and also from the panel and we're going to just dive in today. Um the first question uh I wanted maybe we're just going to go around everyone um or anyone that has like a strong opinion to want to talk about and we can also focus on that. So compared to a year ago, what part of your creative workflow feels the most structurally different today? And I wonder if each one of you can share a concrete example uh the moment where AI genuinely surprise you and really unlock something that you would not have have bothered doing before. Should we start with Okay. Yeah, I can get started. Uh I think the design industry has um embraced a huge revolution starting from last year and uh just like last week I met some friends design friends from Google and they mentioned have never they haven't used like pigma for and this is pretty surprising to me because like uh designers we we live on Figma for the past several years and we just open Figma to do everything from brainstorming from all the way to prototyping is always like and there are someone mentioned like they haven't Figma for a long while and to me I'm still like a mix and match. I use Figma. I use a bunch of web coding tools, but I'm still like doing design work as well. But I can see that there's a trend to move um graphics from like you are designing sketches or designing pixels on Figma all the way to like just web coded and and this is a big trend and I think it's going to be uh even bigger this year and also um for me I feel like the process from design to coding also change a lot like previously like we design things and uh we have like probably meetings with from the managers and we settle down the directions, the strategy and then we design ideas. But now it's like we a lot of times we just starting with web tools and we try some a lot of ideas and they also really help us to brainstorm a bunch of cool ideas. We have network and then uh we can handle over very quick demos to engineers which can save us tons of time. So I think the process really changed a lot uh from that linear process from design uh to coding all the way from like everything everyone just works together like designers can code coders can can design PM can do everything just like I feel things getting changed really quick and I can I'm still looking forward to see this year and I I can feel like there will be like more and more things happening and everyone is just like learning new new skills um understanding the new so
Yeah, I'll dive in with a quick story of mine as well. One of the things I've been most fascinated by is just how incredibly realistic a proof of concept of AI. You know, for example, one of the companies that I worked with about a year and a half ago is a company called Limitless. They've essentially produced a hardware pendant you can wear and records or it transcribes conversations of everything that happens around you whether it's hallway conversation with your significant other whether it's with your coworker and at the time that the company put together this concept we actually used uh simply the most basic version of GPT's image generation at the time created a prototype with just the tool itself spun up a landing page and basically collected tens of thousands of cash paid pre-order products from that experience. Now this is actually a huge difference from what we saw years ago. I worked at a company called Indiegogo which is a crowdfunding platform for many of the you know very popular consumer electronics that you know today like Oculus the Snapchat spectacles and the best cameras and so on and so forth. You know a lot of these hardware products have that origin uh with crowdfunding. But at that time you know when you had a founder or when you had a team who was interested in designing a production ready product you would have to pay industrial designers. You'd have to go through this process of spending a lot of money on the design process itself. And so you know now we have this team very not hardware native you know really never produced hardware in you know their their careers were able to take this product essentially creative design for it like a lot of orders for it and then produce it in the time span of the year. So I think the powers of generative AI, you know, really paint this stark contrast and it's really incredible how much uh realism the the proof of concepts can can provide and you know how much LLM empower us to consider many different variables and factors when it comes to building something that's traditionally very inaccessible like hardware.
For me, the biggest leap with AI was not the, of course, there are many technologs like this. It's the community because uh creators, especially filmmakers, are fickle. they're going to swap to whatever is and it's hard to have retention cohorts which is one of the most important
um and so you need to foster community in order to build where it's people often criticize AI as being this cold soul soulless or heartless thing but it's the shaking of hands it's seeing people face to face that authentic is how deals get done and also how these teams get made. So what we tried to do is put a lot of energy into that inerson element little jams and and one day hackathons because I think that's what's needed to bridge the gap where there is there is so much AI anti-AI sentiment uh but they're essentially the target audience. We're alienating people with this messaging of cheaper, better, faster disruption, which is a very silky value mentality, but it artists and creative mouth. So, how do you tangibly what they care about? How do you say that we're, you know, not trying to take away, but rather be more additive? I think that's
I think embracing AI and
a real trend that's happening and personal story I can share like two days ago I'm designing this feature
product um and then I was thinking this is a very magical test because they just the building blocks from our design system and then why don't I try with so I get access engineers code my advice set up the environment to do this return
components system and then I was able to like play around it like a real prototype instead of connecting or static box and then um I committed code and pushed my first PR uh the code and accepted connect with backend API. Um, so that's a real example that what took me a day in the past could easily like 20 minutes. Um, and we can as designers we can truly get into the details and lower the communication cost through different functions or addition. So it's really enabled almost infinite possibility. Um, updates. It makes impossible possible now and make those fast 10 times faster.
Cool. Love those sharing those ideas and thoughts. I just want to quickly um comment. I think um we're talking about
Yeah, we were talking about workflow shifts but I wanted to actually put it in a different way. I I hear a lot about the boundaries are different now like if you were a different as well before you are able to do more things by pushing the boundaries and trying to like trying to to like use the tools to something that you weren't able to do before and uh from from hearing from um both Sandy and and about how uh within different organization different teams they're really like leveraging AI to move faster and create more things. And from what Maddie said, I think the that the thing is really really true. We want to host events like this so that we can bring people to come. And actually um for the today's subject, we we uh originally were thinking about calling it design challenge, but I changed it to a design gym because I wanted to be a little more fun. So whether or not you have experience, you can come. I think those are the things that we're trying to do like in this AIA just as long as you have an idea you can try and uh the outcome will be very surprising and to p um point I think for designers they are they're actually like very very important now they they used to focus more on just designing things but now it looks like they can ship things so this is just very very very um um nice to see throughout last year. So, um I wonder what about um any frictions in your day-to-day work? Um in your in your real day-to-day uh where do you still feel like AI is still creating friction or limit limitations um when you're working? Um what's one capability that you wish AI would uh already have that uh or is better at today and what would it take for you to feel more confident relying on AI?
Um I think a challenge I'm facing is I don't know what I don't know. I mean AI empower designers
but like sometimes when the execution cost become so low the real question becomes like what do you want to make? So from this perspective AI is almost like a mirror. It reflects like who you truly are what you want to make different what you want to create for these worlds and Everybody is created internally just the right environment, the right tool to visualize that.
The biggest limitation I see with creators is not how to use the tools but why they should use the tools. So the intentionality behind uh using AI just as a gimmick rather than uh for a meaningful purpose. I think anyone can spend 40 80 hours watching a variety of YouTube tutorials and you can be as good uh as some of the top AI creators but the differentiating factor is beast. It's being able to create it's being able to say have that critical thinking and say have that output what you choose and what you throw away or iterate on and those skills take a lot of time to develop. It's not something that you can overnight and so that's why I think the those of you in the audience who may have those traditional backgrounds uh those are an incredibly valuable skill set. I think AI native creators like like you're saying you only know what you know um where they haven't faced some of these challenges just because they haven't been making because those doors haven't been open. So I think uh for people who want to be these creators studying what is makes I mean what makes a great story rather than just trying to or without paying homage to what got us to this point.
My challenge with using AI right now is that in growth my relationship with creative and design and all creative things in general is actually very data driven. Meaning that generally speaking I need the best tool to do the best job at different types of So, for example, if I'm going to run ad campaigns, I need a tool or I need some way to create creative that is purpose-built for IG reels versus Tik Tok versus YouTube. And unfortunately, you need a lot of context around what good looks like on each of these platforms. So, maybe not necessarily what I hope AI could do better for me, but one of the frustrations I have is that the tool the tool stack that we use in growth is very fragmented. I have a point solution for creating social clips. I have a point solution for generating ad videos, UDC style content, for creating graphic design, etc., etc., right? And so, if I have to meaningfully learn to use all of these tools, pay for each of them, and then figure out how I can export them and upload them to the same platform and systems, I mean, it's actually quite tedious to do so. And you kind of have to, you know, remember to do these things and then you also have to train other people how to do them. So there are tools that do it all. Like for example, you could reasonably use GPT or Gemini to do all the above. However, I do find that their performance and the data that I see around their ultimate performance actually does not um beat out some of these point solutions. So my my wish is that there would be some kind of consolidation of tools andor some kind of shared unified format across the data in these tools so that we could somehow stitch together these experiences just
I have a very similar uh opinion for tools with the several panelist. So I don't know whether people noticed that starting from last year there's an insane amount of coming out like Japanese uh last November and then it's like their coworker skills uh cloud code now and there's another one called cl just coming crazy mac I just feel like every tool can only be popular for one or two and then there's another fancier one coming out so that's the thing uh I'm seeing at the moment Um I have been uh talking with a bunch of my friends and people really like mention we feel like overwhelmed by the amount of the tools like you are starting with this one and then that that one coming out and it's suddenly everyone using that one. So uh to me I think the real challenge for the novel people is just really to find out the workflow that makes sense to you. Um so there are so many tools I have exploring a lot of them as well but just suddenly um gradually I realized that maybe some tools works more resonate with me. Some of them doesn't. So really think about like how what do you want really want to build and starting the project as soon as possible doesn't have to be something really really fancy to be on the app store. Maybe just like a small tool that can work for you. So starting building something is the most important part and through that process we'll figure out what is the best workflow for you and what's the best tool probably that works for you. So don't get overwhelmed and don't feel like fear of missing out. I think that's that's super common nowadays. That's something I learned during the past several months. I just stop chasing me. Um, another one is I think uh AI is still super inconsistent at the moment. So each time when I even use the same prompt, I got different results and it's uh it's pretty hard to keep things consistent. So yeah, I'm just trying to um like my solution is like to document a lot of things that I I use something that works, something that doesn't work and then uh really figure out like your own system and and also to really make it um get some outcome. I think that's the that's the part that's part and also challenge that I've been facing with. Thank you. I just wanted to echo everything that you said um said um resonates so much with me and um I'm hearing that ideas and intention are so important right now. Uh it's actually one of our um our values as well. We believe we're trying to empower and enlarge that creativity. As long as you have something you want to build, here's the tool and helping you with that. So really really believe that that's the power of AI and on the other hand there's so many tools out there and so many different workflows and I guess that's also why we built this agent because we're trying to really help you consolidate things and I'm sure this is going to be way for a lot of um startups are trying to figure out for different roles and u different type of work and how can we continue to consolidate things so so folks don't need to uh sign up for everything and we start learning that and I really like that idea from the end about not try not don't don't feel formal I think the best way to do today is to get your hands dirty and blow your heart if you have an idea if you have an interest and just um figure out there's a lot of tools out there um and you know you can start with love art anytime cool now let's get a little um a little deeper into the actual uh print work um your experience where and in your experience working with all those AI tools, where do you still feel very much in control versus where you feel like you're lacking AI to drive? I feel like we already tackled some of it, but I just want to hear specific points. Um, especially uh maybe what is the one creative position that you are not ready to give up yet? Start with the end. Um, yeah. Yeah, I think AI can definitely do good job for everything execution like when I give a pretty uh detailed and clear problem. It can just follow it. Um something else you feel like we should choice is like the the idea at big uh like the big direction the big picture uh as the taste as I mentioned. So um taste for sure everyone knows yeah taste is everything for now. But I have learned like what does taste really mean? To me, I feel like taste doesn't just mean like design or surface level like color animation. It's not just like that. I feel like taste is more like how you think of the product. Uh does does that product really solve the user's pinpoints? Um does it really have that market fit and also um just like the feeling like to know which one is better, which one is not. I think that's that's the taste. It's not just like design or or just like whether it looks good or not. I think it's like all the product thinking and sense there like you have to decide what is the pace means and I remember someone mentioned online like pace means um sensitivity plus standard. So sensitivity means like how you u receive like details like or do you feel this is good or that one is not good. How you really compare the products from this to that and standard means like uh what do you think is the how you define a good product or not? Like that's the standard and the criteria. Maybe people have different criteria criteria based on different like uh understanding but just like your if you own yourself has like a system for to really understand how does the product works. I think that's super important. Um so for me case is um definitely should be by ourselves like AI can generate tens or hundreds of like solutions for you but we understand which one is better or which one you want to choose. I think that's still something that AI cannot replace.
for some of the work that I do. One area that I right now fully trust AI to be capable of, at least in the creative process, is a lot of the pre-production workflows. So, for example, if I'm going to be taking a really long video, I want to cut it into short snippets for social media posting across different channels. I fully trust AI to kind of take that initial rough cut. Kind of takes it to the 70% But kind of the rest of the polish, the remaining 30% that I think is really going to help add that taste, that element of taste as well as branding and resonance with the customer, I find that I need to use my human judgment and exercise that understanding of what my goals are, my understanding of who the customers are and essentially have that additional fine polish at the very end of the process. So I think my relationship with using AI right now and you know what I find I trust AI with the most is kind of the I'll call it just broadly speaking the rough cuts so to speak and for me exercising that human judgment to uh complete the rest and the remainder with that that final polish that brings in that context that can be a little bit hard to bring in with a lot of structure
for me I I since there's so much context switching between When running the competition, you have to be uh running meetups, meeting with sponsors, um sending out a ton of emails, judging submissions, doing c customer support of angry competitors who, you know, that they uh you know, their submission didn't get viewed. Um, I wish I could automate automate more, but I a lot of it it comes down to the human nature to be authentic with people. So, I wish there was more that I could I could give up. I think uh the thing that I found was really helpful that saved me weeks of work is I do a lot of work in Google spreadsheets and using Gemini to buy code and do some really powerful things and I did a little computer science in college but not not anything to major degree and just being able to know what I want and describe in natural language has
For me, I think it's in control of AI and it is when I can um explicitly express what I want. So, it's good execution once you have the right piece of resource for it. Um, but the hard part is to being able to articulate what you want in a way that's
rightol
I think the learning curve is steep for a lot of people because it's very specific way like it the better result that is but um it's almost like information entropy that what's the bare minimum information you need to provide to it amount of contacts you can provide it to it to generate a good result and that's a very subtle
Thank you. Um I'm hearing I I I just heard a few like really interesting things. I really love how San Diego talked about relationship with AI. I think that's that's a very great way to and think about um what what the future will look will be like and um and the taste and the um um information the what kind of information I think it's also around the relationship that we do with with it and um I do think um in my experience um as a design agent we work with a lot of different kinds of roles and uh the the answer is very different there are certain areas where the u wants to drive more and wants to have more control but for for someone like me I don't have my background and uh I usually just start with my phone like oh I want something I want a brand asset for blah blah blah and that's that's like how I start so I realized there's just a lot of a lot of unknown to be and the relationship is going to continue to evolve and could be um as different roles and different at different time point there's more control and less u letting the AI drive but it could also change I be dynamic. Thank you. Um so next question I have um this one is very interesting. I recently read about um a a a white book that campa published uh it's called in 2016 in init by design where raw expressive less bullish outputs become the new and that is u basically AI is outputting everything that looks very very perfect but you can tell it's AI so adding that human qual becomes something that um at least canvas users and their research is trying to uh to exit. Um so I wonder our panelists uh what do you think of this? Do you buy that or do you think it's just action to generic AI looking content and this will not last?
Um I think it's the n it's actually related to the nature of how our model works and also the nature of human being is we have people who like human being naturally
whatever they want. But like the best part is like AI is kind of you can dedicate that partation part to to AI. Like designers used to struggle with this debate like should you name your layers? Should you name your files the final final version? Um joking about it. people never organize their browser tabs and messy desktop with all the files, icons, but for you. Um, and then like let AI do what's it good at and let us
point you brought up about human nature, how it's not always perfect, how it's both light, but it's also dark. You need to show those two sides. Uh, to have that dichotomy and also have that I think for AI film making. I've seen so many of the same types of stories of cyborg girl XYZ yada yada I want to see things that are more personal to the creator story where it's raw where it's authentic where it's talking about maybe their trauma and it's vulnerable that medium people where they don't have to ask for permission to get these homes that have both benefits and drawbacks. But um going back to the original question, I think it it has these human nature's thoughts of the art and the work should
it's interesting from a growth perspective. What we find is that imperfect by design is actually performance. So what I mean by that is one of the top channels that many of the companies that I work with use is called UDC or user generated content. And these are the types of videos or images that you see when you browse social media and it's, you know, a talking head video of somebody putting their cell phone up to themselves and they're reviewing a product, right? They're telling you all the goods and the bads, but there's something about that that feels very genuine and authentic. So to me, imperfect by design is actually a reflection of how people perceive what they trust and what they believe in, right? You know, I I think that some of us or a lot of us are we're kind of tired of being sold products. We're tired of being marketed to an sometimes that that polish feels extra disingenuous. And so I think that's where when we see AI content, we know that it's AI content, but there's also a part of us that realizes there's an orchestrator behind how this content came out. And I think because of that, you know, consumers or, you know, you and I every day when we see that, we just feel like someone's intending to say something to us rather than, you know, sort of this idea of imperfect by design. You know, we like user generated content. We like that organic reaction on social media. We like when we see that's really raw and unpolished because it feels like it's real. And I think, you know, applying this to this kind of thread we have around human nature, we want more real things. We want connection. We want to be able to trust the people that are telling us things. And so I think it all kind of ties together.
Yeah, same thing. Uh I totally buy it because I I I feel I already got tear to looking at as like I used to really enjoy notebook and it's such a powerful tool still is but I just feel like every time when I looking at for example generate the back or infographic for me it's just look so AI and I just feel so tired of looking at that again and I I just know just recently I just go back to my traditional way of watching video or reading book that is better um because because like I don't know I don't know what other people think because I feel like sometimes we don't need that much intelligence or efficiency See because um yeah notebook can generate like a summary in one minute for a book but it also get rid of your like your your plan to read a book that really resonate with the word. So to me um I already getting back to this trend. Uh so I think like everyone feel like uh like more effect like imperfect or more raw is better but just like the answer is like how how we really want to blend that human uh intelligence into that AI is that through prompt or is that through the model how does that work? So I think it's the fundamental question is like how we really want to make it happen or uh maybe we can have like human to to curate the output or maybe at the beginning we can have model to make it uh looking better. So I think there's a ongoing question um yeah but for me I kind of like already getting back to what I used to to um practice and I feel like it works much better. So awesome like resonates resonates with me so much. I think I'm hearing like human nature and what we believe in. I really think um everything that we do today is about self expression and that that part is so important to every human being. I believe that's what I believe in and using AI can sometimes be very um it could be very um loring to you know just everything output is like really fast and looking really perfect but what is the true voice that you want to deliver and share that's how you connect with real people and that's going to become in the AI days so thanks for sharing all those um those great thoughts and um I just want to add one more thing like this I tal to a a lot of designers on that and one question I asked is what do you think what do you think design is and this one designer told me she thinks design is about taking care of people so it's about relationship and what you feel create that actually makes the other person feel better and taken care of and that answer touches me so much and how design should be in the future same as what you said we can talk about we can like put a simple like uh imperfect by design to talk about that human nature but it's it's the reality is way more than that it's how we thank you for sharing so uh we have a last question for this run and we're going to go into a uh individual round very quick uh this is a fun question uh so fast forward two years what do you think will actually will actually win in green would be people with great taste. We already talked about it. Or people who know how to orchestrate AI tools in Asia really really well like master of AI tools. Um and would you where would you uh like what would you personally bet for your career and um maybe also skills that you think is important for the future?
Um I'll be honest like I can't imagine what will happen in two years considering the speed is developing. Um but I think uh just like how human think approach problems being able to have that level of clarity and thoughts that create is still question that it's so easy to do what you want to produce now the real question why you create
being able to structure that in a clear way to accomplish that goal. I think that was
I think it's useful to think of people as a product. uh looking forward two years I think those who are able to iterate quickly that's imperfect and focusing more on the tools and skills rather than you know in the context of competition rather than winning those who are able to project and have the experience to those and have a learning that they can just on two.
Well, I'm not the best person to get design career advice from, but I can share with you what I see with all the organizations that I work with, which is to Sylvia's question, should we be betting on building up our our taste judgment or should we be building up our skills and managing AI and agents and orchestration? I my answer and what I see in the most successful teams and individuals is actually you have to have both. Um, and the the theme that I'm seeing is that the most successful organizations are actually building teams of generalists. Meaning that if you're a person who tends to steer more on the side of being a taste maker, having those really, really strong opinions and judgment, you still need to be able to have the skills to some degree to be able to execute or at least understand how to execute with the help of AI tools and agents, right? And then on the other hand, if your main job is you're currently the executor or you're using the AI tools and agents, you need to be able to also straddle yourself across vision, across tastes, develop more opinion. And because these tools enable you to be more efficient with your work, you actually have more time to think about things like that. I would actually ask also add a third dimension, you know, from what I'm seeing as well. You know, in growth, I I started today's conversation by saying that my relationship with design is, you know, one that's imbued with a lot of data. I do think that data has to be third dimension because a lot of times the work that AI agents and AI is outputting for us we need to be able to validate whether or not that's actually working and you know we can tell ourselves like this is this is good right oftent times pacemakers do that we say we decide this is what good is but when you actually put it out there we have to see whether or not the data tells us that customers are reacting people are actually enjoying it reacting positively to it in whatever way that you imagine and intended so I think you know sort of this trifecta Um this ideal vision that I have is that you know the designers the creatives that we work with are a combination of people who have tastes who can orchestrate work with AI agents and can also use and understand that data to help iterate and continue to improve. Um so I have the similar feeling the same thing for sure like it not like people should have both taste and and the reactions. So um some of you you asked the second question about career right? So I want to talk about yeah talk about that one. Um so there are several things. First one is as I mentioned earlier like build something. So the goal for me this year is like to actually uh really have some like app in app store. So I'm working on that. So uh I think it's super fun for me to really understand from the end to end. So previously I can only design things but for now uh with tools I can also like try to learn like coding and really to deploy like my app to the app store. This is so surprising and it's really fulfilling uh for me. I've never experienced that before. So that's my goal like to really uh build s projects like uh you don't you doesn't have to in into like startup but you can have your job uh in the on your personal time. You can build something just for fun. You can make it for fun or you can even make money. I have friends like who um quit his job and become a like independent developer and he earns a lot of money just by subscription. That's also another way of living. if you you're interested in that. Another one I think is super important is like building personal IP. Uh because I I'm also a content creator and I I can see how important it is nowadays even that before because a lot of people they build products but the really problem is like how to get distribution how to let others know you have a product and to use. So, and I noticed like some like uh influencers they build products, they can get much easier way to to build their products and they can get it initiated really quick. So, um that's something I learned like um build something or even create a lot of content or something try like build your voice in the public. I think that's um super important this area as well. Awesome. So, sounds like taste is also taste and the ability to use both importance and I guess to look like if you're using a design agent, you can save your time do for doing the so you can have more time to do the coding by puting in more things, right? And to send this point, it's a lot of time taste is actually a lot of times is very subjective even though um there are you know certain people that's like trying to define it like there's apple taste, emotion taste, whatever but I think this is an area where um it talks about how people feel. So um so data that's essentially you know how everyone's reacting to whatever. So very very very great idea for us to think about and all right so we have a individual round and I'm going to try to be quicker on this one so we can have more time for questions and uh first one Sandy um question for you. So when creative becomes um actually when creative becomes um less expensive and actually cheap and abundant um sometimes something else becomes the bottleneck. From your experience so far what constraints or challenge has AIdriven design introduced to your growth?
That's a really good question and actually a theme that some of the other panelists touched on which is now that we have the powers of AI at our fingertips in the work that I do in growth it's very crossunctional general we touch design we touch creative we training we touch uh we ads we touch product etc etc and one of the questions that we have to honestly answer is you know what is worth doing because if you've ever been in a room with a growth person and you're brainstorming what a road map looks like you basically have a list of initiatives maybe a hundred or so then the next task is how do you prioritize it how do you impact size it etc what's really hard and what I see a lot of teams grow teams making the mistake of doing these days is saying that okay we can have infinite access uh to creative it's virtually costless for us to do so so let's spin up you know 20 variants of ad creatives and let's test them all or for SEO pages let's you know spin out a thousand landing pages all at once without really being intent entional about whether or not for example SEO is even the best growth strategy for yourself or whether or not all of those different ad creatives are worth testing because they're reasonable hypotheses around whether or not this is the right positioning for your audiences. So I think in some ways you have to be careful because AI can actually make us busy for no reason, no good reason at all. And I think that's one of the challenges that a lot of you know people in broker are going to have to reckon with as they're extending their creative powers across design videos etc. And then also how basically how to de developing that judgment and having that strategy rather than just trusting everything that's filtered by AI. So very very important. Thank you Sandy. And let's start with Mark. Um, what do you see like because you work with a lot of Sorry, Maddie. I'm so sorry. You work with so many creators and you probably uh working with more and more for your forward awards. Um, uh, what do you see creators doing today that actually builds audience trust beyond just producing more content or better remixes?
It's probably um like how do you think originality is evolving? So I think people often fixate on the visuals because you can make these amazing amazing cinematic shots. Often times people they're rolling the dice and they get this this shot that looks like it's out of Transformers and then the whole film around that one shot. I think what I've seen and what I think is is needed to get them to the next level is about sound design, thinking about editing and piecing which are I wouldn't say necessarily trust building, but it's these ways to make that experience much more
breaks. I think all watch movies, we've all watched TV shows and you know when you see something that's off, it really kills it. some of these these AI soft videos that go really viral um you can tell that they're AI for a reason, but I think that most successful are it doesn't matter if it's or not. It's just a great story. It's great
for all those.
Thank you. Um last question for P and Yan. Um so, when you start scaling AI assist design workflows across the larger organization uh what tensions or trade-offs show up first or what are the things that first uh start bringing
um I think actually to scale it in in the organization to me it's not about the technical part or how to learn the tools tools It's more about the mindset. I think we're in this paradigm shift. Uh people probably need to redefine their role or I've been trained in this way for 10 20 years industrially involved to highly divided and well defined occupation. Um and this type of um um mentality that fixed to this is what I do.
this is the film of this that's my um can can start to diminish. So I think the mindsets to encourage people um embrace explore and just try and see.
Oh yeah to me um to scale AI across big companies like uh I think the biggest challenge is alignment. So yeah our team has recently like really actively learning AI and you can you can immediately understand like how people learn things differently. Someone can build something overnight. Someone you know give up at the setting up. So it's like really takes us a lot of uh time and effort to make sure everyone really understand especially like for designers um we are intimidating by the coding interface. So a very fun experience very fun example like we have been learning cloud code recently and um uh yeah people you might know that cloud code starts from terminal which is such a normal place for designers for engineers probably you guys are so familiar with terminal but we have never used terminal before and my design design like team oh my god it's so hard I don't want to try that why we need like that so um I think the the thing is for the big companies like you really have to understand people have different levels of understanding uh and how to probably give them more motivation to get started because a lot of them still feel like working on Figma is pretty good. Why should we work uh like try the new stuff that is so hard? So really show the value and and also um we some like challenges or hacks on uh just get people like more I think that's that's really important as well. Um I wanted to just quickly add home what said happening in larger organizations actually
if Maddie and Sandy agree all trying to like cross the boundaries and trying to like build and shift I think I just noticed that they're very contra about um understanding people have different level knowledge level of knowledge about different
I think that's like something that I feel like we don't talk about as much. I I still believe in that like design work there because they love doing it.
The idea for marketers probably focus on how. So I I really think the future very diverse. Thank you. Thank you for sharing. So, we are actually a little low over time, but I still want to see if there are questions from the audience. Um, we can do
Thank you for the panel. Uh, we're here. Um, this is a great talk and I really enjoy it. When you are growing your team, hiring your next designers, hiring your next course hackers to your team, what is the definitely this generation of talent is very different from last generation, right? What are the skills or experience that really oh this actually this person know the new generation? What is the red flag? Okay, because of this behavior not work in this environment. So what is that why you're hiring and working on teams? either
way. I can go. Uh I actually last week I read a article on my social media and the topics like uh AI era is the best time for movies. Um just consider similar like uh web can use like iPhone to take photos. Like many years ago people have to learn how to use camera but with iPhone everyone can take photos. It's the same thing like you can really easily find out that a lot of like uh we talk like silver young people like maybe Chinese they can do even better than a lot of senior people. So I think uh AI has really u make that gap like shorten that gap uh for that years of experiences. So um that being a side I think it's so important for people to really have that um embrace the new ways of thinking the website and also uh playing tools is definitely important. So uh I recently interview a bunch of like and someone can really showcase uh strong protecting tools really stands out and doesn't need like years of experience just like the way how you think a product should go and it can really even like matters more than like for people who have many years of experiences. So I think it's u it's a better it's a really good time for for young people and for everyone who just want to get started. Um so that's why I risk like
young people
I mean like even your graduate like yeah they can sometimes they can even do better than auto
I think the next generation of talents um like I like I'm really looking for two things one is passion session. Um they're god driven. They have this inquisitive way of learning. Um and then two is ability to learn and update. It's almost like a metal skill. Whatever you learn today will be outdated very soon.
else.
Yeah, I have a question kind of corresponding to and pen's uh previous comment. Um so I think yeah mentioned like design sq code engineers can design and then I think a pound also mentioned in the well definfined content go recent I mean like that's been established for 10 20 years um has been changing so my question is um how do you see the existing corporation structure could change or or any or how could product designers possibly reposition us in your future.
Yeah, I I can't I can't predict how the organization will evolve, but I think uh like the status quo has been here for a reason.
So document the projects that people develop And the biggest takeaway, one of the biggest takeaway um is like adding more people to the project is not necessarily because you're increasing exponentially cost like my day job like at a zoom we almost zoom is not the purpose of company is not to have you having more meetings. is actually help you make those meetings they're trying to remove all the friction during a communication and I think AI can play a really huge role in such part uh we all heard about like there'll be very soon like one man people company um maybe we don't know but for like average company like the communication
else I think it's really hard question and I think corporate will will also I mean experience that revolution pretty soon u I don't want to mention layoff because there always lay off happening and there's always talking about like oh should AI replace things like that so um I can see this trend to be frank so It it is happening. It is happening. But how we better position ourselves is like um yeah it's like something we have mentioned many times like tools man but another things like if you never really rely on one company that's my that's my take like uh feel something for yourself like think about if you leave this company what what do you can still stand for like what else you can still show. Um I think that's that's the biggest part for for everyone like in this uh Korea life u because nothing is stable at the moment and things changing too much just really prepare yourself and and have more diversified way of living um side job project or anything content like to make sure that you are fully prepared for. So start a side project.
Are there any more questions?
Okay. Can hear now. Um I'm going to try to try to sort of encapsulate this. So based on the collective experience of the are there any sort of roles that look like they no longer make any sense.
And I say that because I remember historically that
do you see any sort of roles that are beginning to sort of less
and perhaps the necessity a new role that fully encompasses the power.
So like maybe before would be a sales executive but now be like
I think anyone related to like basic organization of information or extracting information searching transform them into different data type like those will become relevant. Um and because like I had this idea of like AI become a huge competitor like data format become anything.
So I think like operating information at a basic level what it
I don't have too much more to add except to share that what I'm seeing right now is that roles aren't necessarily being entirely eliminated so to speak but more so that the roles are evolving one, you know, very striking example in some of the operations that I've seen and growth at least in relates to content perhaps, you know, a lot of the work that I used to do was working with companies to, you know, scale up their their SEO, right? And that involved oftentimes either hiring or outsourcing basically to a staff of 10 plus writers especially if you're company that's publishing you know 50 to 100 SEO and that business model is essentially you pay per article and there's just a lot of humans involved in the process the person who writes the draft the final editor the person who kind of adds in more of the product expertise etc. So just a lot of you know human intervention there. But I think more so if I kind of take a step back and look at the patterns there. I think the tasks that are repetitive and kind of have this freaky process AI provides this potential to essentially automate away andor you know apply agents because those pattern patterns are easier to configure into these agents and easier to explain and teach the agents whereas the higher complexity tasks where there's a lot more human communication discussion andor just you know a little bit more input tends to be harder to just delegate away to agents and so you know maybe Sorry, this is not directly answer your question, but roles are evolving and perhaps the the types of work that we're, you know, essentially going to automate away are going to be the ones that are a little bit more.
Just want to quickly add I think um not just roles are evolving but also organizations are evolving. Um it's not like there's you know two being eliminated. I believe there's going to be is coming up but for people to um to be creative and to invent what's going to be meaningful. So um if you like get your hands dirty and talk to people there a lot of a lot of startups right now uh similar to 15 years ago you are trying to reshift the paradigm so I think there's new opportunities and ways to like to build new skills fitting into the so I just recommend like keep keep your heads up and um looking looking around look around and see what's on So um thank you so much. Um this is um for the panel and um thank you for everyone to um be so patient and and thank you all the panelists to share all this great perspectives and we gonna maybe take a quick couple minutes break. There's a uh by the way rest that way u we have Wi-Fi here and if you haven't uh added your u created your local account um make sure you do that. I'm gonna uh maybe we'll come back. Well, actually, we're gonna do photos together um before everyone uh gets up and then we uh we'll take a couple minutes break and come back maybe by uh 7:40 and then I will do a live demo of art. I really want to show you guys what we can do and then we'll switch into books and design. Thank you so much for uh for like um still with us. And uh can we get some
360
Just can everyone look here for like look look at this same for like three seconds. So how does it work? Just everyone look. Yeah. Just look here. Just look here. I just need five seconds of attention. Okay. Just look here for three seconds. Don't move. Three, two, one. It will be a video later and then let's do one more. Let's do one more maybe. Yeah, maybe people on this row, can you just Oh, go over there. Yeah, if you want to be in the picture, just go move behind me. Yeah, move behind me.
Yeah, that's good. That's good. Everybody is So, everyone turn around. Yeah, turn around. Turn around if you want me to capture your face. If you don't want me to fat your face, you don't need to turn around. Okay, just look here. So, I'll be like it's the same same deal, same drill. Okay, just count down from three. Three, two, one. Okay. And then I'll just take a regular one. Use my iPhone. Yeah. So, anyone everyone who want to take picture with me, go just Yeah. Just go to the front by the Oh, okay. Sure.
Look at look here. Two
more.
That's a better one.
Okay. Yeah, that's good. That's good. That's good. That's good. One, two, three.
Can everyone come to your seat and then we'll take a quick photo from the front with everyone.
Oh yeah. Yeah.
Look at Kevin. Sorry.

Advertisements