This episode of Steven Data Talk is a republication of a discussion originally aired on Abby's podcast, 风平浪静. (Content summarized from the original Chinese version using NotebookLM.)Steven, an experienced AI content creator and entrepreneur, joins Abby to discuss his career pivot and his work in the AI community.Key Topics Covered:• Steven's Background and Transition: Steven shares his 14 years of professional experience, primarily in commercial banking and financing, and his current pursuit of a second Master's degree in Data Science and Economics at the University of Milan. This academic focus includes deep learning, reinforcement learning, and NLP.• The Podcast's Mission: Steven's podcast, Steven Data Talk (English version) and Steven 數 據 慢 談 (Chinese version), is inspired by major hosts like Lex Fridman and Andrew Huberman. The show targets entrepreneurs, AI engineers, AI researchers, and investors (VC/PE) in the AI industry. Its primary goal is to provide a platform for in-depth communication to reduce information asymmetry and help various stakeholders find collaborators or opportunities.• Networking and Content Strategy: Steven uses the podcast format as a highly focused tool for deep communication, contrasting it with typical surface-level networking. He finds most of his high-caliber guests, including professors and engineers, via the Xiao Hong Shu platform.• New Project: Steven introduced a parallel project called Stephen MOE (Mixture of Experts), a live-streamed roundtable discussion inspired by an IBM podcast, which focuses on debating major AI events and topics.• AI Entrepreneurship in Europe: Steven, based in Milan, observes a limited number of AI startups in continental Europe compared to the US and China. European projects often focus on vertical/niche areas, such as industrial process automation, Excel plugins, or humanitarian projects combining 3D printing and AI for custom footwear.• Challenges of the European Market: Major obstacles for AI entrepreneurs include severe regulatory pressure (such as the AI Act and GDPR), high taxes, and a lack of compute resources (GPUs), which makes the environment challenging for startups. Italy was noted as the first country to mandate the take-down of the Deepfake App (DeepFace).• Opportunities for Chinese Firms: Steven suggests that the European market is likely waiting for US and Chinese AI companies to take market share. Chinese AI companies, particularly those focused on open-source models, have a comparative advantage and are starting to explore the market by building developer communities.

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