The biggest AI breakthrough in medicine & drug discovery
Showing posts with label AI. Show all posts
Showing posts with label AI. Show all posts
Gemini Lyria 3 AI 製作神曲
Gemini Lyria 3 AI 製作神曲
春節期間 AI 圈真是“半夜放重磅”，谷歌這次不僅升級了 Gemini 1.5 Pro，更直接掀翻了 AI 音樂的桌子 ！本集節目帶大家深度評測Google最新的 Lyria 3 模型。它最強的地方在於：你不需要寫複雜的提示詞，只要扔給它一張照片、一段視頻，甚至是你家孩子的簡筆畫，它就能瞬間生成 30 秒高質量、朗朗上口的配樂 。
我分別測試了影片配樂、梗圖創作、兒童音樂甚至嘗試「調教」它模仿王菲的音色 。結果發現，谷歌靠的不僅是生成質量，更是其無敵的生態飛輪——以後在 YouTube Shorts 裡給視頻配樂，可能真的就是“手到擒來”的事情 。
本期核心看點：
多模態實測：Seedance 產生的影片配上「暗黑電影風」音樂效果如何？
生態連結：如何把 NotebookLM 裡的筆記直接變成頻道主題曲？
版權解法：Lyria 隱形浮水印技術如何解決創作者最頭痛的版權檢測？
實操示範：教你如何用「描述歌手特質」的方法繞過版權限制，產生極具辨識度的歌聲 。
章節快速跳轉：
00:00 谷歌又雙叒叕掀桌了！
01:03 Lyria 3 模型核心能力拆解
02:35 AI 音樂的「達摩克里斯之劍」：版權與浮水印
04:06 實測：給 Seedance 影片配上史詩交響樂
10:20 創意：簡筆畫變童謠，中文填詞驚艷
13:39 避坑：如何讓 AI 唱出「王菲」的感覺？
16:40 高階玩法：NotebookLM 筆記變主題曲
19:15 總結：內容創作的飛輪已經滾起來了
The AI world really dropped bombshells in the middle of the night during the Spring Festival! Google not only upgraded the Gemini 1.5 Pro, but also completely revolutionized AI music! This episode takes you through an in-depth review of Google's latest Lyria 3 model. Its greatest strength lies in this: you don't need to write complex prompts; just give it a photo, a video, or even a simple drawing by your child, and it can instantly generate 30 seconds of high-quality, catchy background music.
I tested it with video background music, meme creation, children's music, and even tried to "train" it to imitate Faye Wong's voice. The results showed that Google's success isn't just about the quality of the generated music, but also its unparalleled ecosystem flywheel—adding music to videos on YouTube Shorts might truly be a breeze in the future.
Key highlights of this episode:
Multimodal testing: How does Seedance's video sound with "dark cinematic" music?
Ecosystem integration: How to turn NotebookLM notes directly into channel theme songs?
Copyright Solution: How does Lyria's invisible watermarking technology solve the copyright detection problem that creators dread most?
Practical Demonstration: Learn how to bypass copyright restrictions using the "singer characteristics description" method to generate highly recognizable vocals.
Quick Chapter Jump:
00:00 Google has once again thrown the table!
01:03 Lyria 3 Model Core Capabilities Breakdown
02:35 The "Sword of Damocles" of AI Music: Copyright and Watermarking
04:06 Practical Test: Adding Epic Symphonies to Seedance Videos
10:20 Creativity: From Simple Drawings to Nursery Rhymes, Amazing Chinese Lyrics
13:39 Avoiding Pitfalls: How to Make AI Sing with the Feel of Faye Wong?
16:40 Advanced Use: NotebookLM Notes Become Theme Songs
19:15 Summary: The Flywheel of Content Creation is Starting to Roll
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AI Reconstruction《清明上河圖》
AI復原張擇端《清明上河圖》，帶你穿越千禧年前的真實大宋
AI-generated reconstruction of Zhang Zeduan's "Along the River During the Qingming Festival" takes you back to the real Song Dynasty a thousand years ago.
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Seedance 2.0 AI 视频
Seedance 2.0颠覆AI视频！最新最全11大玩法揭秘+实战！太疯狂了...AI视频 AI工具 AI数字人 AI创业 AI赚钱 AI副业 即梦 小白 AI教学 降维打击 商业 短剧搞
即梦：https://jimeng.jianying.com/ai-tool/h...
加微信：YingXiaXueJie
领取《Seedance提示词手册》
时间戳
00:00 前言
02:03 如何调用Seedance
02:42 1. 数字人vlog
04:01 2. 短剧
06:22 3. 治愈漫画vlog
08:39 4. 高级感运镜
10:18 5. 广告大片
11:51 6. 沉浸式转场
12:56 7. 电影片段
14:10 8. 创意vlog
15:54 9. 数字人口播
17:38 10. AI漫剧
18:52 11.精准修改
19:55 结尾
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Grok AI 照片變紀錄片
Grok AI 照片變紀錄片只要 10 分鐘？ AI 影音工作流
幾張靜態照片，快速做出一支短影片？
以前這是「不可能的任務」，但在 AI 時代，只要10 分鐘。
本集介紹：
如何利用 Grok (每天免費20支) 結合其他AI (ChatGPT、Nano Banana Pro)與剪輯軟體，打造AI影片工作流。
本集目的:
不是用 AI 做出電影等級的作品，
而是讓一般人，也能用 AI 製作出實際可用的影片，
用最簡單的提示詞,讓照片或圖片自然的動起來。
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SUNO AI 清唱製作 成AI神曲
SUNO AI 清唱製作 成AI神曲
🌟 用 AI 把手機錄製的清唱歌曲升級成完整翻唱金曲，一次跑完整流程
🎥 影片重點：
✨ 從手機清唱示範，如何用 AI 把隨手翻唱變成完整編曲成品
✨ 拆解清唱錄音、AI 自動補歌詞與伴奏、曲風生成三個核心步驟
✨ 實際示範 Suno AI 的 cover 流程與關鍵設定，新手也能一次成功
✨ 進階示範多版本生成、語言轉換與音訊影響度調校，打造不同風格翻唱el intelligence?
——
⏱️ 時間軸
00:00 場景描述
00:21 翻唱試聽
01:18 流程總覽
01:35 清唱錄音
02:27 上傳生成
04:17 曲風調校
06:10 版本對比
08:16 進階玩法
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FT Future of AI 峰會 粵語配音
【AI六大天才同場-粵語配音】AI之父Hinton、黃仁勳、李飛飛、LeCun等、同場論爆！人工智能幾時超越人類？AI泡沫？人類如何保持價值？未來十年變局
全球六大人工智能先驅——🧠 NVIDIA 創辦人 Jensen Huang🧩 AI 教父 Geoffrey Hinton🧮 深度學習之父 Yann LeCun🧠 圖像識別先驅 Fei-Fei Li⚙️ 機器學習先鋒 Yoshua Bengio🔬 GPU 架構專家 Bill Dally
齊集倫敦《Financial Times》FT Future of AI 峰會，同場討論人工智能未來十年走向。
💬 關鍵討論包括：
AI 會唔會係另一場科技泡沫？
NVIDIA 嘅「AI工廠」概念係咪新工業革命？
GPT、LLM、Agent 之後，AI點樣改變社會？
幾時會達到「人類級智能」？5年？20年？定永遠唔會？
「人類價值」點樣喺AI時代保持地位？
本集為你完整整理六位 AI 大師嘅對話重點，用廣東話帶你聽盡最頂層科技腦袋點樣睇未來世界。
For more exclusive interviews and agenda-setting conversations with global AI leaders website:
https://www.youtube.com/watch?v=0zXSrsKlm5A
On 6 November, Jensen Huang, Yoshua Bengio, Geoffrey Hinton, Fei-Fei Li, Yann LeCun, and Bill Dally spoke with the FT’s AI editor, Madhumita Murgia at the FT Future of AI Summit in London. Together, they reflected on decades of pioneering work — from neural networks to generative AI and discuss the ethical, social, and economic implications of the technology they helped to create.
All six, along with Professor John Hopfield, are recipients of the 2025 Queen Elizabeth Prize for Engineering for their foundational contributions to machine learning and AI.
Chapters:
0:00 — Introduction & Opening
2:00 — Yoshua Bengio's Career Beginnings
3:10 — Bill Dally's Early Days and Career Work
4:35 — Godfather of AI Geoffrey Hinton on the 1980s to modern day AI
5:50 — Jensen Huang on being a first generation chip designer
9:00 — Dr. Fei-Fei Li on her early career as a machine learning grad student and professor
12:40 — Yann LeCun introduction and career discoveries
18:30 — Question: Do you think the AI bubble will burst?
24:30 — Question: Do you think tech valuations are justified?
30:00 — Question: How long will it take AI to reach human level intelligence?
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Google Nano Banana 專業用法
Google Nano Banana｜介紹隱藏神級用法｜10大專業用法
今集影片，文恩澄將深入挖掘 Nano Banana 的潛力，展示它如何成為能取代大部分 Photoshop 功能的生產力工具。我會由一張普通照片開始，逐步示範調光、磨皮、更換場景、添加物件等一系列極限改造，並分享當中的實用技巧與限制。此外，更會介紹三大專業級應用場景（產品攝影、簡報圖表、專業形象照），甚至教您如何利用 Google AI Studio，零程式碼打造屬於您自己的批量修圖 App！
影片章節 (Chapters)
00:00 開場：Nano Banana 不只是玩具
01:14 重要通告：我的「香港AI培訓學院」
02:20 深度實測：一張相片的極限改造挑戰
09:57 三大專業級應用 (產品攝影/簡報/形象照)
11:42 進階玩法：用 AI Studio 自製修圖 App
14:56 總結：發揮 AI 工具的真正價值與未來預告
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LMarena.ai Find the Best AI
極速創作手辦模型圖片！最強改圖人工智能！
0:00 開場
0:30 登入網站
1:01 移除人物
5:27 加入人物
6:22 更改表情
9:33 更換服裝
11:06 創作手辦模型圖片
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Perplexity AI 生成I圖像/錄音對話
Perplexity AI登陸WhatsApp｜生成AI圖像/錄音對話
本集內容：
1. 什麼是Perplexity AI?
2. 相片轉換圖片功能
3. 問與答(AI上網搵答案)
4. 總結影片/網站的內容
5. 相片/圖片搜尋與解答
6. WhatsApp錄音與AI聊天?
影片分段：
00:00 引言&簡介
00:46 什麼是Perplexity AI?
01:31 相片轉換圖片功能
02:41 相片轉換圖片示範
05:24 問與答(AI上網搵答案)
06:55 總結影片/網站的內容
08:38 相片/圖片搜尋與解答
09:14 WhatsApp錄音與AI聊天?
11:37 總結&彩蛋
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AI Prompt 提示詞技巧
「寫Prompt」AI提示詞技巧✌️＋萬能框架實戰示範！令你完全掌握「AI精準發問」能力🤩
✦✦✦・時間軸（共有9大Part）・✦✦✦
00:00 前言
00:49 Prompt基礎概念
⌇7 大必學 Prompt 技巧 ⌇
02:50 第 1 技巧
03:38 第 2 技巧
04:45 第 3 技巧
05:31 第 4 技巧
06:12 第 5 技巧
07:36 第 6 技巧
08:25 第 7 技巧
09:13 網上的提示詞框架介紹
10:16 我設計的 RBNO 四步框架，一學就上手
⌇3 個綜合實戰示範⌇
12:20 示範 1｜大阪 5 日自由行行程規劃 – 表格＋日語情境句
13:20 示範 2｜30 萬裝修預算分配 – 條列式＋貼地理財建議
14:32 示範 3｜天然護膚品 IG Caption 構思 – 3 句吸睛開場
⌇3 個進階技巧 ⌇
17:22 進階技巧 1｜AI 自我優化
18:12 進階技巧 2｜AI 雙專家模式
19:44 進階技巧 3｜萬用神 Prompt
21:32 我的總結
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NVidia Story 黃仁勳成長路
AI霸主黃仁勳2025年不敗的秘密：解密「皮褸黃」如何憑「感化院智慧」與4萬美金，一步步煉成今日嘅萬億晶片帝國【黃仁勳成長路上集】
NVIDIA曾瀕臨倒閉？黃仁勳「賭身家」創GPU帝國！皮褸黃起死回生秘訣 💡【黃仁勳成長路下集】
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Korea's National Resurgence 韓國復興
Korea's National Resurgence 韓國的民族復興
從ICU直接進KTV！左手抓AI，右手抱中國，韓國國運爆發的真相，竟是讀懂了東亞的生存法則。
From the ICU directly to a karaoke bar! With one hand grasping AI and the other embracing China, the truth behind South Korea's national resurgence is that it has understood the survival rules of East Asia.
現在時間來到2026年2月，誰能想到韓國股市竟然衝破5,300點歷史大關？ 📈 這不只是李在明運氣好，而是韓國人精準踩中了時代的三個風口：壟斷全球的HBM記憶體、吃下70%訂單的造船業，還有...
Now it's February 2026, and who would have thought the South Korean stock market would break through the historic 5,300-point mark? 📈 This isn't just Lee Jae-myung's good luck; it's that South Koreans precisely timed three key trends: HBM's global monopoly on memory, the shipbuilding industry that captured 70% of orders, and...
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Scale AI - Critical AI Infrastructure
Scale AI - Critical AI Infrastructure | Alexandr Wang
Who is Alexander Wang, and how did he become the youngest AI billionaire in history?
In this video, we explore the rise of Alexander Wang, the founder and former CEO of Scale AI, a company now at the core of the U.S. government’s and Big Tech’s artificial intelligence strategy. From his early days as a math prodigy to dropping out of MIT and landing a $4.5 million seed round, Wang built Scale AI into one of the most critical infrastructure players in AI.
Discover how this self-made tech leader became the youngest billionaire, why Scale AI is trusted by the Pentagon and Meta, and how his vision continues to shape the future of artificial intelligence. This story reveals the key moments, big deals, and bold moves behind one of the most fascinating entrepreneurs of our time.
00:00 Intro
1:01 Alexandr Wang early sparks
3:10 Dropping out of MIT
6:46 Building Scale AI
9:05 Scale AI early success
12:06 The AI race with China
14:04 Youngest self made billionaire
14:54 The GenAI boom
18:05 The next challenge
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AI-Powered Creativity 如何用好AI
AI-Powered Creativity in Cantonese 如何用好AI
Original Video:
How Stanford Teaches AI-Powered Creativity in Just 13 MinutesㅣJeremy Utley
AI 國語版:
史丹佛大咖教你 一般人如何用好AI
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Demis Hassabis: Next for AI at DeepMind
60 Minutes Demis Hassabis- What's next for AI at DeepMind, Google's artificial intelligence lab
At Google DeepMind, researchers are chasing what’s called artificial general intelligence: a silicon intellect as versatile as a human's, but with superhuman speed and knowledge.
John Michael Jumper and Demis Hassabis are American chemist and computer scientists. They both were awarded with the 2024 Nobel Prize in Chemistry for protein structure prediction. They currently serve as director and CEO at Google DeepMind.
Jumper currently serves as director at Google DeepMind. Jumper and his colleagues created AlphaFold, artificial intelligence (AI) model to predict protein structures from their amino acid sequence with high accuracy. Jumper stated that the AlphaFold team plans to release 100 million protein structures.
The scientific journal Nature included Jumper as one of the ten "people who mattered" in science in their annual listing of Nature's 10 in 2021.
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SIMPLEST Explanation of How AI Works?
SIMPLEST Explanation of How Artificial Intelligence Works? No Jargon | What is AI?
How AI Works | A Layman’s Guide to Artificial Intelligence (2025)
Have you ever wondered if the terrifying AI from movies like Terminator or The Matrix could actually become real? Or are you just curious how tools like ChatGPT, Google Gemini, Alexa, or even your phone’s camera know exactly what to do?
In this video, we break down how Artificial Intelligence really works—without any jargon. Whether you're a total beginner or someone who's simply curious, this is the most simplified, clear, and engaging guide to understanding AI today.
We connect the dots between science fiction and science fact—from the warnings of Stephen Hawking and Elon Musk, to the algorithms running your social media feed, YouTube suggestions, and even medical tools. AI is no longer the future—it is already shaping your world.
You’ll discover:
🔹 The key difference between basic programs and real AI
🔹 How AI "learns" from data—with everyday, relatable examples
🔹 What powers modern AI: massive datasets, feedback loops, and neural networks
🔹 The mysterious black box problem—why even developers sometimes cannot explain AI decisions
🔹 The everyday AI you already use: NLP, Generative AI (like ChatGPT), Computer Vision, and more
🔹 What’s real and what’s myth about Weak AI, Strong AI (AGI), and Super AI
🔹 How AI affects jobs—and how to stay relevant in a changing tech landscape
This is not a video meant for AI experts. This is a video for you. The goal?
To help you stop fearing AI—and start understanding it.
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Fate of AI - 資料中心的極限, 是電！
Fate of AI 決定 AI 命運的不是晶片，是電！
It is not the chip that determines the fate of AI, but electricity!
AI 時代的能源戰爭，早已悄悄開打。
黃仁勳說：「每座資料中心的極限，取決於電力。」
馬斯克也直言：「AI 的命運，不是晶片，而是電。」
在這支影片中，我們帶你深入掌握三大關鍵：
1️⃣ 各國如何穩住 AI 用電？
2️⃣ 科技巨頭瘋搶綠電，還加碼小型核能！
3️⃣ 誰會吃到這波能源紅利？台美受惠股全面解析！
美股關注 NuScale、GE Vernova、OKLO、EXC、DUK、CEG……
台股關注華城、士電、大同、中興電、東元……
從政策到產業，從核能到儲能，從數據中心到變電設備，
我們一起看懂 AI 如何改寫能源版圖，也找出背後的投資機會！
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