tokens.fm 偷啃
TED x BOHR x TONY x WAN從台灣、矽谷、西雅圖 科技巨頭開發者、創業者、交易員與資本市場參與者 從技術，到商業 帶你看懂這個正在被 AI 重寫的世界 -- Hosting provided by SoundOn
| Publishes | Weekly | Episodes | 14 | Founded | 3 months ago |
|---|---|---|---|---|---|
| Language |  Korean | Number of Listeners | Categories | TechnologyBusiness |
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Latest Episodes
(00:40) OpenAI、Anthropic 押注統一 AI 入口，Google 則把 Gemini 放進 Search、Chrome 與辦公軟體，電腦首頁之爭正式開打。
(03:01) 開發者已習慣用 AI 生成簡報、網站與文件，多數人卻仍離不開熟悉的 App，使用習慣成為普及阻力。
(05:55) AI 原生入口與傳統 App 短期將走向混合模式，由 AI 接手簡單工作，既有軟體則逐步加入助手功能。
(08:53) Codex 類型的個人助理可同時處理文件、試算表、郵件與 S... more
(06:22) Kimi K3 的能力逼近 GPT 5.5 與 Opus 4.8，中國開源 AI 與美國頂尖模型的差距已縮短到只剩幾個月。
(07:50) 模型架構仍在快速變動，能靈活支援不同做法的 NVIDIA GPU，反而比高度客製化的晶片更具優勢。
(11:57) 每月近一萬美元的 AI 使用費，讓企業更有動機採用開源模型、任務分流與自建算力，避免長期被模型商收租。
(12:46) 開源模型快速追趕，讓 OpenAI、Anthropic 的定價與上市故事開始鬆動，未來必須靠 A... more
(03:25) Meta MuseSpot 1.1 與 xAI Grok 4.6 都把 Agentic Workflow 當主戰場，原生 Harness、Token Efficiency 與開發者入口成為競爭核心。
(14:50) Grok Build 的第一手實測重點在速度、多模態生成與 Coding Agent 可用性，但大型任務可靠度仍待驗證。
(17:30) Meta 用 Coding Agent 包裝 MuseSpark 仍缺少自然入口，真正看點反而是低價 API、算力出租與 ... more
(03:10) Meta 計畫將額外 AI 算力商業化，不代表算力過剩，而是雲端巨頭開始用基建抵消 AI CapEx 壓力。
(10:51) AI 變現從賣模型走向賣工作流，Palantir 與 NVIDIA 把算力、模型、資料治理與企業部署包成完整方案。
(12:50) Alex Karp 對 Token as a Service 的批評，指向 Application Layer、Harness 與企業 Know-how 才是真正價值所在。
(18:23) 企業開始檢視 Token... more
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Reviews
- 好節目推推
節奏聽起來順暢，有種在聽各種領域經驗豐富朋友講話的感覺，每個人各種觀點的交互討論也很值得一聽再聽，整體資訊密集但內容也不會到難以吸收，成功緩解了我自己FOMO的情況🤣，希望能持續更新下去！非常期待官網和社群成立！
Apple Podcasts5sofizt
Taiwan2 months ago - 👍
從第一集就開始follow了，主題不錯，內容討論也有深度。
唯一缺點：
收音效果不好，聽起來吃力。
整體音量偏小且模糊，有人聲音聽起比較遠，有人又很近。常需要自己調整大小聲來聽清楚。感覺不是在同一個環境下錄音or收音設備不一樣。
Apple Podcasts4松山言正
United States2 months ago - 科技人
很棒的節目
Apple Podcasts5小粉絲們Taiwan3 months ago - 聽的很累
有幾個講者講話都黏在一起，麥克風收音也很差，聽不下去
Apple Podcasts3C++ MasterUnited States3 months ago - 不可多得的好頻道
很實用的科技資訊
Apple Podcasts5哎零Taiwan3 months ago
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #13 | Taiwan/Technology |
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
|---|---|---|---|---|---|
| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
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tokens.fm 偷啃 launched 3 months ago and published 14 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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