Sepp Hochreiter, the inventor of Long Short-Term Memory (LSTM) networks and founder of NXAI, dives into the world of AI with insights from his pioneering work. He discusses the origins of LSTMs and their critical role in processing sequence data like speech and text. Sepp compares LSTMs to the newer transformer models, exploring their ongoing relevance, especially in real-time robotics. He shares his optimistic vision for AI's future, emphasizing efficiency and scalability as key to revolutionizing industries such as healthcare and autonomous vehicles.

Sepp Hochreiter, a researcher in LLM alternative architecture, discusses the advancement of XLSTM, the significance of context length in language models, the exploration of XLSTM potential and IP rights in Europe, and the evaluation of methods and abstract reasoning. The potential applications of large language models for companies are also explored.

Sepp Hochreiter, a pioneer behind the LSTM model, and Alan Akbik, an expert in NLP, dive into the fascinating world of large language models. They discuss the evolution of language models and the promising potential of XLSTMs in AI coding. The conversation highlights the advantages of LSTMs versus transformers and introduces XLCMs, emphasizing their role in generative AI. They also touch on the cultural barriers to applying AI innovations in Europe, and the balance needed between AI use and traditional academic practices.