She graduated from the renowned Faculty of Mathematics, Informatics, and Mechanics at the University of Warsaw – a hotbed of AI talent, where, among others, Wojciech Zaręba, Jarosław Tworek, Filip Wolski (associated with OpenAI), and Henryk Michalewski (associated with Google DeepMind) had studied before her. Immediately after graduation, she landed a great job as a data analyst at a corporation. At the same time, however, she became increasingly fascinated by photography and machine learning, which she studied in courses with Andrew Ng and Andrej Karpathy. After a few years, these passions took over – she quit her corporate job, took a job as a data science intern at a software house, and began doctoral studies in computer vision at the Polish-Japanese Academy of Information Technology. Her work focused on deep learning of multimodal text and image representations.

The risk paid off – today, she is one of the most interesting experimental artists. Her works are included in prestigious public collections, including: Her works have been exhibited in Karlsruhe, Linz, and Wrocław, and have also been presented at the Victoria and Albert Museum, Bitforms Gallery, Venus Over Manhattan, during Art Basel Miami Beach and Art Dubai Digital, and at Christie's and Sotheby's in New York. She has participated in numerous group and solo exhibitions, including those in Berlin, Tokyo, and Hangzhou. In 2022, she was recognized in the Top 10 Women in AI by the Tech Foundation, and in 2025, she won the prestigious Lumen Prize, CIFRA Award, and an Onassis Foundation scholarship.

The guest of the 14th (28th) episode of "The Limits of AI" is Dr. Ivona Tau – a mathematician, AI engineer, and artist experimenting at the intersection of photography and new technologies. We discuss creation in mathematics, art, and engineering, the beauty and simplicity of mathematical proofs, the connections between Impressionism, Cubism, and the mechanics of light, the experiments of Duchamp, Picasso, and Malevich, the fundamental problems of AI engineering, and the alchemy of generative models, epistemic crises, and the paradoxical nature of photography.

06:49 | What does "understand mathematics" actually mean?
13:23 | What is harness and why is LLM alone not enough in mathematics?
16:24 | Could a multimodal GAI trained on Impressionism invent Cubism?
21:25 | Could a GAI trained on Newtonian physics discover Einsteinian physics on its own?
26:54 | From banking to AI – what was Ivona's journey like?
32:01 | How does a computer "see" an image?
37:10 | How to Quit a Corporate Job?
47:34 | What Does AI Engineering Give an Artist?
48:24 | Generative Models as the Contemporary Alchemy of Photography
1:01:41 | Image Crisis or Crisis of Trust? What Does GAI Do to the Experience of Truth?
1:06:55 | Why Do We Need Art and What Is It For?
1:16:09 | The Dead Internet and the Archaeology of the Future – What Trace Will We Leave Behind?
1:17:17 | Synthetic Identity – Can You Get Lost in Your Own Image?
1:20:15 | Reality and Syntheticity – Where Is the Line?
1:23:22 | Is the Internet Becoming a Space Created by Machines for Machines?
1:24:49 | Photography and Truth – Can Images Still Bear Witness?
1:26:36 | Does LLM Personalization Impair Our Ability to Recognize Truth?
1:29:02 | How to regain attention in the age of social media?
1:32:34 | How does Ivona build and train her own AI models?
1:40:27 | Can AI prompt humans?
1:45:51 | What's left of authorship? Will we give all agency to the machine?
1:51:44 | Creativity and generativity – where is the line?
1:54:14 | Can AI create art on its own?

#ArtificialIntelligence #AI #Art #Creativity #MachineLearning #ComputerVision #DigitalArt #FutureOfAI #ArtificialIntelligence #IvonaTau #IwoZmyslony #LimitsAI