Distributed Dissent

Generis AI and Tokuma Labs
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  • ريادة الأعمال
  • يتم التحديث شهريًا

The intersection of Law, AI, and Finance. WITHOUT a corporate filter. En Hong (Generis AI) and Mathias Bock (Tokuma Labs) are both lawyers and finance veterans building startups in Hong Kong and Tokyo, respectively. Each week, they unpack the trends shaping the industry and explore the pivotal role of AI in legal tech. The conversation is varied and candid. Expect everything from startup war stories and heartfelt advice to deep dives into the books and ideas that are shaping their worldview.

الحلقات

  1. ٧ فبراير

    Distributed Dissent - Episode 3: "Vibe Coding," Engineering Slop, and the Exploding Ferrari

    You’ve built a legal app that looks like a Ferrari. But does it explode when you turn left? Is "Vibe Coding" the future of legal tech, or just engineering slop produced by amateurs? In this episode of Distributed Dissent, En Hong (CEO, Generis AI) and Mathias Bock (CEO, Tokuma Labs) dissect the "Vibe Coding" trend flooding LinkedIn. They debate the difference between building a prototype and shipping a product, the hidden dangers of "citizen developers" in a legal context, and the structural collapse of legal fees in the Chinese market. Topics Covered: The "Exploding Ferrari" Problem: Why AI-generated apps often look like finished products but lack the engineering rigor to survive edge cases—and why the "last mile" of debugging remains the hardest hurdle.Prompt Injection & Enterprise Risk: The massive, under-discussed vulnerability in tools like Microsoft Copilot, where a single line of hidden ASCII code can exfiltrate an entire chat history.The Zero-Dollar Legal Market: A look at the extreme "involution" in China, where domestic legal work is being done for essentially zero margin, and what this signals for the commoditization of services globally.Defending the Billable Hour: Why clients don't actually hate the billable hour—they hate paying partner rates for administrative work. En and Mathias argue that high-level strategic counsel remains undervalued even at premium rates.Compliance as Risk Arbitrage: Moving beyond "tick-the-box" exercises to viewing the General Counsel as a risk quantifier who calculates the cost of doing business rather than just saying "no."The "Shape of AI": Why AI models default to the average, and why human competitiveness now relies on embracing "out-of-distribution" weirdness and curation.Mentioned in this episode: Substack: The Algorithmic Bridge by Alberto Romero (specifically "The Shape of AI")TV Series: Ozark (Netflix)Film: Jack Ryan: Shadow Recruit (Chris Pine)Concept: "Vibe Coding" and the "Slop" era of contentAbout Distributed Dissent:Hosted by En Hong (Generis AI) and Mathias Bock (Tokuma Labs), Distributed Dissent offers an unfiltered look at the intersection of Law, Finance, and AI. Two ex-finance lawyers trade notes on the reality of building in the legal tech space, stripping away the corporate filter to discuss what’s actually happening in the industry.

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  2. ١٦‏/١٢‏/٢٠٢٥

    Distributed Dissent: Episode 2: Gemini 3’s Arrival, The Rise of the "Cyborg" Lawyer, and the Copyright Conundrum

    Does the release of Gemini 3 prove that intelligence is a commodity and that OpenAI’s moat is gone? Episode Description: In this month's episode of Distributed Dissent, En Hong and Mathias Bock break down the immediate impact of Google’s Gemini 3 and its dedicated TPU infrastructure on the AI landscape. They debate the dangerous trend of companies firing junior staff to replace them with AI, arguing instead for the "Cyborg approach"where human agency is multiplied by technology. Finally, they tackle the existential crisis of copyright, explaining why neural networks aren't actually "copying" anything and what that means for the future of creative industries. Topics Covered: The Hardware Wars: With Gemini 3 trained on TPUs, is Nvidia’s dominance threatened? The hosts discuss how specialized chips (like Bitcoin miners before them) might upend the GPU market.The "Cyborg" Lawyer: Why the "Matthew Effect" applies to legal tech: AI isn't a magic bullet, but a multiplier of agency. Those who know how to wield it will exponentially outpace those who don't.Don't Fire the Juniors: Analyzing the fallout from companies like Klarna (CLA) replacing staff with AI. Why the "last 10%" of work still requires human judgment and why firing the training class is a long-term disaster for firms.Waymo & The Safety Delta: A look at the staggering safety statistics of autonomous vehicles (10x-40x safer than humans) and the economic cost of letting humans continue to drive.The Copyright "Vibe": A deep dive into how neural networks actually learn (vectors vs. databases), why current copyright law is failing to catch up, and why the "Swiss Watch" of human connection is the only remaining moat for creators.Mentioned in this episode: TV Series: Alien: EarthArticle: Boredom by Nicholas Lynch (Skeptic.com)Article: Vatican City: City, State, Nation, or Bank?Tech: Google Gemini 3 & Anti-Gravity IDEReport: Harvey Legal Tech Adoption StudyConcept: The Matthew Effect (Matthew 25:29)

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  3. Distributed Dissent: Episode 1: The Fine-Tuning Trap, "Gell-Mann" Amnesia in AI, and Building Legal Tech in Asia

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    Distributed Dissent: Episode 1: The Fine-Tuning Trap, "Gell-Mann" Amnesia in AI, and Building Legal Tech in Asia

    Episode Description: Is spending millions to fine-tune an AI model a waste of resources when frontier models like Gemini and GPT-5 are evolving so fast? In the debut episode of Distributed Dissent, En Hong (CEO, Generis AI) and Mathias Bock (CEO, Tokuma Labs) discuss the reality of being lawyers-turned-founders in Hong Kong and Tokyo. They debate the diminishing returns of training custom models, the psychological traps peoplefall into when using AI, and the stark differences between building startups in different Asian markets. Topics Covered: Frontier Models vs. Fine-Tuning: Why even well-funded startups are giving up on fine-tuning their own models in favor of riding the wave of big tech scaling.The "Gell-Mann Amnesia" Effect: Why experts immediately spot hallucinations in their own field but blindly trust AI in areas they don’t understand—and the risks this poses for legal professionals.Hong Kong vs. Tokyo: A comparative look at the startup ecosystems, including the surprising arbitrage in engineering talent and the cultural differences in venture capital.Involution hits the Legal Field: How extreme price competition in the region is driving fees down, and what this signals for the future of "median" legal work versus true expertise.Manufactured Intelligence: The economic implications of intelligence becoming a cheap utility, and why "plumbers might be safer than partners."Mentioned in this episode: Book: Permutation City by Greg EganBook: Blindsight & Echopraxia by Peter WattsArticle: Why Birds Don't Drive Bentleys and Why Humans Will Never FlyCase Law: Getty Images vs. Stability AI (UK Ruling)

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The intersection of Law, AI, and Finance. WITHOUT a corporate filter. En Hong (Generis AI) and Mathias Bock (Tokuma Labs) are both lawyers and finance veterans building startups in Hong Kong and Tokyo, respectively. Each week, they unpack the trends shaping the industry and explore the pivotal role of AI in legal tech. The conversation is varied and candid. Expect everything from startup war stories and heartfelt advice to deep dives into the books and ideas that are shaping their worldview.

المعلومات

  • صناع العمل
    Generis AI and Tokuma Labs
  • سنوات النشاط
    ٢٠٢٥ - ٢٠٢٦
  • الحلقات
    ٣
  • التقييم
    ملائم
  • حقوق النشر
    © Generis AI and Tokuma Labs
  • موقع البرنامج على الويب
    Distributed Dissent