Martin Foertsch

Martin Foertsch breaks down complex neural networks at TNG Technology Consulting. He focuses on the mechanics behind generative AI, exploring how simple text prompts transform into high-fidelity media.

His work examines how systems like Stable Diffusion and Sora compress and reconstruct visual data. In his talk on generative AI production, he maps the jump from language models to latent diffusion and video transformers. He also investigates how real-time deepfakes influence public sentiment during elections.

He documents his tech experiments on his blog, Innovation Hacking.