Insights, updates, and stories from the world of AI innovation
Modern AI is fundamentally limited by a human-centred definition of intelligence, as large language models are trained on human-generated data that embeds our assumptions and biases. Even as LLMs surpass human performance, they remain extensions of human intelligence rather than genuinely super-human systems. Achieving true super-human intelligence would require models to develop independent foundational axioms, raising serious challenges around interpretability, alignment, and control.
