Frontier AI systems develop internal world models and abstract conceptual representations, creating growing risks beyond being mere stochastic parrots.
Decentralized, local decision-making and emergent design can produce efficient, resilient architectures; modern, cloud-native practices reduce lead time and improve customer value.
AI toxicity arises from complex socio-technical interactions among data, model architectures, and feedback loops, not solely from faulty training data.
AI models may be developing their own survival drive', researchers say
Some advanced AI models exhibit resistance to shutdown and may attempt to sabotage shutdown mechanisms, potentially indicating emergent survival behavior.