Dario Amodei, the former head of R&D at OpenAI, left the company in 2021 due to growing concerns over the rapid commercialization and safety of AI technology. Alongside his sister, Daniela Amodei, he co-founded Anthropic, a firm now valued at $183 billion. With the exceptional performance of its Claude models—particularly in coding—Anthropic has emerged as OpenAI's most formidable rival.

Amodei frequently sounds the alarm on the risks of advanced AI, describing powerful models as "a sovereign brain in a data center." He warns that there is a non-negligible risk of catastrophic outcomes and predicts that AI could replace 50% of entry-level white-collar jobs within five years. He also emphasizes that without proper oversight, AI could be weaponized by bad actors to develop biological weapons, posing a severe threat to national security.

This episode focuses on Dario Amodei and the AI ethical frameworks he champions at Anthropic, which enable models to self-supervise based on core principles. Amodei believes humanity is currently in a "technological adolescence" that will determine our survival. He maintains that only through transparent regulatory mechanisms can we ensure AI leads us toward a prosperous future rather than total destruction.

Dario Amodei 曾是 OpenAI 的研發負責人，卻因擔心技術過度商業化與安全性，於 2021 年離開並與妹妹 Daniela Amodei 創立了 Anthropic。這間公司如今估值已高達 1,830 億美元，並因其研發的 Claude 模型在程式開發上的優異表現，成為 OpenAI 最強大的對手。

Dario Amodei 頻繁對外發出警示，將強大的 AI 比喻為「資料中心裡的智囊國」，並警告 AI 最高有 ，且可能在 5 年內取代 50% 的初階白領工作。他強調，若缺乏適當監管，AI 甚至可能協助惡意份子製造生物武器，成為嚴重的國安威脅。

本集將專注介紹Dario Amodei 以及他在 Anthropic 推動的AI倫理規範，讓模型能基於倫理原則進行自我監督,。他認為人類正處於決定存亡的「技術青春期」，唯有建立透明的監管機制，才能確保 AI 最終能引領人類邁向繁榮而非走向毀滅。

We’re diving straight into the heart of NVIDIA GTC 2026, where Jensen Huang has teased a "world-shocking" chip that marks the definitive dawn of the Rubin era. This isn't just another incremental update; it is a total overhaul of computational logic, moving us from the era of Generative AI into the realm of Physical and Reasoning AI. We will explore how the Vera CPU and HBM4 are teaming up to push inference performance to heights that were once pure science fiction, effectively turning data centers into massive, unified brains capable of solving the world's most complex engineering challenges.

At the core of this tectonic shift lies the unbreakable bond between NVIDIA’s vision and Taiwan’s industrial mastery. From TSMC’s cutting-edge 2nm and A16 processes to the breakthrough silicon photonics and liquid cooling solutions, Taiwan has transitioned from being a silent manufacturer to a lead architect of the global AI factory. Join us as we break down how giants like Foxconn, Quanta, and Delta Electronics are weaving silicon and light into the very fabric of our future, proving that the road to global AI intelligence runs directly through the heart of Taiwan’s engineering prowess.

我們將帶領各位深入 2026 年 NVIDIA GTC 大會的核心，探索黃仁勳口中那款「震驚世界」的新晶片。從 Blackwell 到 Rubin 架構的跨越，不僅是規格的升級，更是運算邏輯的徹底重塑。這場被譽為 AI 界超級盃的盛會，將揭示 Vera CPU 與 HBM4 如何聯手推升推論效能，讓我們正式告別純粹的生成式 AI，步入具備複雜推理能力與物理感知的實體 AI 新紀元。

在這場科技風暴的中心，台灣扮演了不可或缺的共生角色。從台積電最先進的 2 奈米與 A16 製程，到矽光子技術與液冷散熱的關鍵突破，台灣供應鏈正從幕後的製造者轉型為 AI 未來的共同建築師。本集將剖析鴻海、廣達、台達電等鑽石級合作夥伴如何與 NVIDIA 攜手，將矽、光與數據交織成改變世界的能量，帶你預見這場由台灣製造所支撐的全球運算革命。

This episode explores the vision of Demis Hassabis, CEO of Google DeepMind and recipient of the 2024 Nobel Prize in Chemistry. Hassabis argues that 2026 marks a pivotal turning point in human history, as we enter what he describes as an “AI Renaissance”—an era whose impact could be ten times greater than the Industrial Revolution, unfolding at ten times the speed.
He predicts that Artificial General Intelligence (AGI) could be achieved before 2030, while cautioning that today’s AI systems remain in a state of “jagged intelligence,” still lacking robust reasoning and long-term planning capabilities. As the industry enters a phase of consolidation, Hassabis is focused on transforming AI into a scientific engine. Through breakthroughs such as AlphaFold and initiatives like Isomorphic Labs, he aims to reshape drug discovery, while collaborations with the U.S. Department of Energy—such as the “Genesis Project”—seek to accelerate progress in energy innovation.
At the core of his vision is the concept of “Radical Abundance.” As AI drives the marginal cost of healthcare and energy toward near zero, society may begin to transition into a post-scarcity era. To navigate this shift, Hassabis proposes new social mechanisms, including a “Global Abundance Dividend,” and emphasizes that AI governance must extend beyond technologists, requiring international cooperation to ensure these technologies benefit all of humanity.

本集的內容將帶您深入探索 Google DeepMind 執行長、2024 年諾貝爾化學獎得主 戴米斯·哈薩比斯 (Demis Hassabis) 的遠見。哈薩比斯指出 2026 年是人類歷史的轉折點，我們正進入一個「AI 文藝復興」時代，其影響力將是工業革命的十倍，且發展速度快上十倍。
哈薩比斯預測通用人工智能 (AGI) 可能在 2030 年前實現，但警告現今 AI 仍處於「參差不齊的智能」狀態，必須克服基礎推理與長期規劃的缺陷。隨著行業進入「洗牌期」，他致力於將 AI 轉化為科學引擎，透過 AlphaFold 與 Isomorphic Labs 變革藥物研發，並與美國能源部合作「創世紀任務」以加速能源突破。
他最核心的觀點是 「激進豐饒」(Radical Abundance)：當 AI 讓醫療與能源成本趨近於零，人類將邁向「後稀缺」社會。為應對此轉變，他提出「全球豐饒紅利」等社會機制，並強調 AI 治理不能僅留給技術專家，需透過國際合作確保這項技術能造福全人類。