In recent developments from the Weebseat world, the founder of a prominent technology company has set forth an ambitious goal: achieving Artificial Intelligence that surpasses human intelligence. This vision of smarter-than-human AI builds on a foundation of Machine Learning advancements that are enabling AI systems to enhance their own capabilities.

One of the core approaches being explored is the use of Reinforcement Learning, a method where AI learns to make decisions by receiving rewards or penalties based on its actions. This approach is proving to be effective in training AI systems to adapt and improve autonomously with minimal human intervention.

Another innovative method involves Neural Networks, particularly those that employ Deep Learning techniques. These networks mimic human brain functionality, allowing AI systems to process vast amounts of data and to understand complex patterns within that data. By leveraging these networks, AI is developing nuanced capabilities in areas like Natural Language Processing and Computer Vision.

Furthermore, the ongoing enhancement of AI Algorithms is pivotal. These algorithms underpin much of the reasoning capabilities in AI and contribute to its capacity to learn from experiences and outcomes. As these algorithms become more sophisticated, the potential for AI to exceed human cognitive abilities becomes all the more plausible.

This quest for advanced AI, while promising, also raises important questions about AI Ethics and the implications of creating machines that might outperform human cognition. The endeavor requires careful consideration of ethical frameworks to ensure that smarter-than-human AI aligns with societal values and does not harm humanity.

In conclusion, as AI continues to evolve through self-improvement and advanced learning techniques, its journey towards potentially exceeding human intelligence is one to watch closely. The implications of this achievement could redefine the boundaries of technology and its role in our daily lives.