AI is taking key steps to be much better in the future: such as not needing humans

A new technique developed by MIT allows AI models to improve themselves without human intervention, marking a significant step in AI development. This "Self-Adapting LLM," or SEAL, generates its own training data and self-tunes, potentially surpassing existing models like GPT 4.1 in specific tasks. The development focuses on reducing the need for human input in the iterative process of AI model improvement. SEAL utilizes a three-step self-reinforcement loop: generating instructions for updating, testing the results, and reinforcing only the improvements. This overcomes the limitations of static Large Language Models (LLMs), which typically require manual updates. While other similar initiatives exist, SEAL offers a technically relevant advancement towards models requiring less human intervention for each update. This innovation could significantly impact the efficiency and scalability of AI development by automating the model improvement process. This also has implications for Europe, as it can accelerate the development of European AI solutions and reduce dependency on human oversight. However, it's essential to clarify that this is a technical advancement and not a step towards self-aware AI.