The fundamental divide between different forms of intelligence

Animal intelligence and the intelligence demonstrated by large language models represent two fundamentally different forms, shaped by entirely distinct evolutionary mechanisms. While animal intelligence emerged from biological evolution and survival pressures, LLMs were optimized through commercial mechanisms and problem-solving objectives. The differences extend beyond technical details: computational substrates differ (transformers versus biological neural tissue), learning algorithms diverge, and operational modes are distinct. The most consequential distinction lies in the optimization pressures that sculpted each intelligence: tribal natural selection versus commercial metrics and social approval. This novel form of intelligence, genuinely non-animal in nature, marks humanity's first encounter with radically different intelligence. Yet this contact remains muddled because LLMs remain embedded within human artifacts, reflexively embodying human culture and knowledge. Accurate understanding of this new intelligent entity will prove essential for reasoning correctly about its current capabilities and future development. Those who fail to grasp these fundamental differences risk misinterpreting this new intelligence through inadequate biological analogies.