• •Brightwork Research evaluates Hubert Dreyfus’s book 'What Computers Can't Do' against current generative AI capabilities
• •Dreyfus's critique focused on the limits of symbolic AI and the necessity of embodied, intuitive human experience for intelligence
• •Whether Dreyfus's arguments regarding the lack of 'common sense' and 'context' persist in modern LLMs remains a point of technical debate

Brightwork Research examines how philosopher Hubert Dreyfus’s 1972 critiques of artificial intelligence hold up against today's large language models. While Dreyfus famously argued that computers would fail to replicate human intuition and context-dependent understanding, modern systems have achieved high-level pattern recognition that challenges his original rigid constraints. However, the analysis highlights that Dreyfus’s central concerns—namely the distinction between data-processing and true situational awareness—remain largely unresolved. Whether contemporary AI truly bridges this gap or merely mimics human proficiency remains a pivotal question for future development.