Welcome to a fascinating exploration of the hidden legal battles shaping tomorrow’s technology. Predictive algorithms have become the crystal balls of modern business, forecasting everything from home prices to healthcare costs, but they’re also becoming the center of high-stakes courtroom dramas worth hundreds of millions of dollars.

Across the globe, from Texas courtrooms to China’s Supreme People’s Court, judges and juries are answering a profound question: who owns the right to predict the future? The House Canary v. Amrock case resulted in a staggering $600 million verdict over real estate valuation algorithms, while Alibaba secured a 30 million RMB judgment against a company that allegedly scraped its predictive marketing tools. Even industrial applications aren’t immune, with companies like Shen Group successfully protecting predictive design software for machinery components.

What makes these cases particularly compelling is how they’re redefining intellectual property law. Courts are now recognizing that AI model weights, the mathematical parameters tuned during training, qualify as protectable trade secrets. Data pipelines, prediction engines, and algorithmic structures have all received similar protection. The real drama often unfolds when employees change companies, raising thorny questions about what constitutes general expertise versus proprietary knowledge that belongs to the former employer.

Healthcare prediction presents especially valuable territory, with ongoing battles between companies like Qruis and Epic Systems, or Milliman and Gradient AI, demonstrating how patient data forecasting creates immensely valuable intellectual property. Whether it’s forecasting home values on Zillow or optimizing Medicare billing, these predictive tools aren’t just convenient features, they’re corporate crown jewels worth protecting at almost any cost.

Ready to dive deeper into the invisible rules governing innovation? Subscribe now and join us as we continue to decode the legal frameworks shaping our technological future. The algorithms may predict tomorrow, but who gets to own those predictions? That’s what we’re exploring on Intangiblia.

Granit Zela: The Job Where You Argue With Every Sentence – Intangiblia™

A great translation can feel effortless, which is exactly why so many people underestimate what it takes. We sit down with Granit Zela, an Albanian poet, writer, university lecturer, and award-winning literary translator, to get honest about the craft behind “bringing a book into another language” and the real intellectual property questions hiding inside every sentence.Granit takes us back to an isolated childhood in northeastern Albania, where discovering his father’s small library became a turning point. From Jules Verne to 1001 Nights, he explains how reading created passageways out of loneliness and toward authorship, and why that early relationship with words still shapes how he writes and translates today.From there, we zoom out to the larger literary ecosystem: Forum 26, cultural exchange, and what smaller language communities need to remain vibrant in an era of global platforms and dominant languages. We also get practical and specific about translator rights and publishing norms: clear contracts, proper attribution, transparency, and fair remuneration, grounded in one powerful idea that should guide copyright law and copyright reform alike: the literary translator is the author of the translation.We close with the stakes for sustainability and the future, including digital publishing and AI training on books. If technology changes everything, how do we keep consent, control, and fair pay from disappearing? Subscribe to Intangibilia, share this conversation with your network, and leave a review with your take on what “fair” should mean for authors and translators.Send us Fan MailCheck out "Protection for the Inventive Mind" – available now on Amazon in print and Kindle formats.The views and opinions expressed (by the host and guest(s)) in this podcast are strictly their own and do not necessarily reflect the official policy or position of the entities with which they may be affiliated. This podcast should in no way be construed as promoting or criticizing any particular government policy, institutional position, private interest or commercial entity. Any content provided is for informational and educational purposes only.

1. Granit Zela: The Job Where You Argue With Every Sentence 38:25
2. Margrét Tryggvadóttir: How Author Protects Stories In The Age Of Streaming And AI 50:59
3. Helen Epega: Opera, Synesthesia, and the Invention of Access 37:15
4. John Degen: Celebrating Authors, Protecting Creativity 38:10
5. Cécile Deniard: The Human Voice Inside Every Translation 01:15:57