
史塔克實驗室
| Publishes | Twice monthly | Episodes | 150 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Language | Categories | InvestingBusinessTechnology | |||

台股上週五單日大漲3,186點,改寫史上最大單日漲點紀錄,重新站回四萬三千點。但如果你手上跟我一樣抱著這期機器人選出來的股票清單,你可能會覺得——欸,怎麼我的帳沒有對起來?這一集,我們拆解這波反彈背後的三件事:Fed一場罕見的分歧投票、關稅新聞裡「談好了」跟「生效了」的落差,還有機器人選股清單裡,軍工航太為什麼變成整份名單裡波動最大的一條線。
📌 本集重點整理
🔶 總經全景(01:30–10:00)
✔ Fed連五凍利率3.5–3.75%,但這次9比3的表決藏了玄機——3位官員一... more
AI 不會坐牢,但你會。
這一集,我們來聊一個很多人想跳過,但其實最重要的主題——AI 的倫理與法律責任。
當 AI 開始影響你的工作、創作、甚至決策,你就不能只會「用」,還要知道界線在哪裡。
這一集會帶你從制度、風險到實務,一次搞懂:
👉 AI 出事,到底誰負責?
👉 AI 生成的內容,版權算誰的?
👉 Deepfake 已經可以騙到你身邊的人了嗎?
📌 本集重點
✔ AI 治理 vs 資料治理:誰在管 AI?誰在管資料
✔ 可信賴 AI 六大原則:... more
你不是不會用 AI,
只是「咒語念錯了」。
這一集,我們正式進入實戰——
從 AI 的運作邏輯,到怎麼下指令、避開風險、選對工具,一次講清楚。
如果你曾經覺得 AI 很爛,
那這集,很可能會顛覆你的認知。
📌 本集重點
✔ Next Token Prediction:AI 本質其實是在「猜下一個字」
✔ Prompt 四大流派:Zero-shot → Few-shot → Chain-of-Thought → Agent
✔ AI 三大風險:幻覺、偏見、知識... more
這一集,我們玩了一個有趣的實驗:
前半段先由我開場,後半段則直接交給 AI 來講。
這不只是一次節目形式上的嘗試,更是一場很真實的示範:
當我們給 AI 清楚的角色、明確的任務與完整的脈絡,它到底能做到多少?而我們人類,又還需要具備哪些能力,才能真正把 AI 用好?
這集會聊到:
prompt engineering 為什麼不能只下模糊指令、角色設定為什麼重要、chain of thought 與推理過程為什麼能幫助我們判斷 AI 有沒有亂掰,以及資料治理、資料品質、資料標註... more
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這邊給到ㄅ級分
想聽聽 市值型ETF
00923
乍看之下是一個教你投資股票的頻道,其實嘉豪已經預判了你的預判。
先用錢錢投資股票——再用股票變成旅行——再把旅行變成酷東西——抱歉了錢錢我真的需要那個酷東西——錢錢你還是再變成股票吧——繼續聽嘉豪。
既然你遲早都要聽嘉豪、那何不現在就聽呢?
感恩嘉豪大大每次都用輕鬆好懂的語言(和失控的笑聲😆)讓二類零分的me超好懂!
最喜歡旅遊主題XD
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #179 |
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史塔克實驗室 launched 6 years ago and published 150 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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