Sepp Hochreiter

Sepp Hochreiter, the mastermind behind LSTM networks and founder of NXAI, shares insights from his journey in AI. He discusses the potential of XLSTM for robotics and industrial simulation. Hochreiter critiques Large Language Models' shortcomings in true reasoning and creativity. He emphasizes the need for hybrid approaches that integrate symbolic reasoning with neural networks. His reflections on the evolution of neural architectures reveal the exciting advancements in memory management and processing efficiency, hinting at a transformative future for AI.

In this discussion, Sepp Hochreiter, a pioneer in advanced language models, shares insights from the NeurIPS conference. He reveals exciting details about the xLSTM 7B model, emphasizing its efficiency and unique features that differentiate it from typical LLMs. The conversation dives into the evolving landscape of AI in Europe, touching upon challenges and innovations that balance human creativity with technology. Hochreiter also discusses the rapid advancements in machine learning, particularly regarding the energy efficiency and speed of new frameworks.

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 of LSTM and head of the Institute for Machine Learning at Johannes Kepler University, discusses TiRex, a revolutionary time series model surpassing industry giants like Amazon and Google. He explains the evolution of LSTM to XLSDM, emphasizing its strengths in forecasting. TiRex is designed for user-friendly industrial applications with impressive speed and accuracy. Hochreiter also compares TiRex with competitors and shares insights on job opportunities for those eager to join the innovative team in Linz.