Group 1 - The article discusses the contrasting ideologies represented by the candidates in the 2024 U.S. presidential election, highlighting political conservatism and a distorted form of neoliberalism known as "wokeness" [1][3] - Wokeness, which has gained traction since the 2020 Black Lives Matter movement, seeks to address social inequalities related to gender and race while promoting a multitude of sexual orientations and enforcing political correctness [1][3] - The article emphasizes the historical context of nationalism and its lessons from the 19th century, suggesting that the rise of wokeness has left many feeling uncertain about the future of globalization [3][4] Group 2 - The author traces the philosophical roots of wokeness back to postmodernism, which emerged in the late 20th century and challenged established truths, leading to a crisis of authenticity in contemporary society [3][4] - The book "Real and Virtual: Philosophy in the Post-Truth Era" analyzes the long-term factors contributing to the rise of postmodernism and its impact on global ideologies, including Marxism and neoliberalism [4][6] - The article argues that the scientific wars of the 1990s, which criticized postmodernism, did not resolve the ongoing crisis of authenticity faced by the modern world [6][9] Group 3 - The author proposes that a return to a philosophy of authenticity is necessary to address the challenges posed by wokeness and to understand consciousness and its origins [9][10] - The discussion includes the integration of scientific methodologies into philosophical discourse, suggesting that the legacy of 20th-century scientific thought can help navigate contemporary philosophical dilemmas [10][11] - The article highlights the relationship between artificial intelligence and philosophy, indicating that while AI can process language, it lacks consciousness, which raises questions about the nature of knowledge and understanding [11][12]

Core Viewpoint - The article discusses the philosophical and scientific exploration of consciousness, particularly in the context of artificial intelligence (AI) and its inability to possess true consciousness despite advanced capabilities [2][3]. Group 1: AI and Consciousness - The emergence of advanced AI models, such as OpenAI's o1 and DeepSeek R1, has led to a perception that AI can understand and think like humans, but this is merely a simulation of understanding rather than true consciousness [2][3]. - Philosophers argue that to comprehend the current wave of intelligence, one must revisit the historical context of scientific development and rethink fundamental questions about reality, virtuality, and what it means to be human [2][3]. Group 2: Scientific Exploration of Consciousness - In 2024, two major research directions in understanding consciousness converged, revealing that neuroscience experiments alone cannot fully explain consciousness, as evidenced by a decade-long EU initiative that failed to unlock the mysteries of the brain [5][6]. - The second direction involves creating intelligent machines based on known computer learning principles, yet consciousness has not emerged from these advancements, leaving the nature of consciousness still a mystery [5][6]. Group 3: Philosophical Implications - The article references a parable illustrating that the key to understanding consciousness may not lie within the confines of modern scientific inquiry, suggesting that the search for consciousness may require a broader philosophical approach [6][7]. - The relationship between consciousness and language is explored, emphasizing that while AI can mimic language use, it does not equate to possessing consciousness [7][20]. Group 4: The Nature of Scientific Truth - The article posits that scientific truth is limited to specific domains and cannot adequately address the nature of consciousness, which is inherently tied to subjective experience [14][15]. - It argues that consciousness research must rely on a different framework, specifically "quasi-controlled experiments," where the subject's involvement is essential for understanding consciousness [23].