Artículos Relacionados con Consciousness

El Centro de Noticias de HTX ofrece los artículos más recientes y un análisis profundo sobre "Consciousness", cubriendo tendencias del mercado, actualizaciones de proyectos, desarrollos tecnológicos y políticas regulatorias en la industria de cripto.

Li Shanyou: The World Is Getting More Competitive, But We Can Choose to Be Slower, Go Deeper, and Turn Inward

**Title:** Li Shanyou: The World Is Moving Faster and More Chaotically; We Can Choose to Be Slower, Deeper, and More Inward **Summary:** In an era where AI evolves weekly and past experiences often fail, the article argues for returning to First Principles. It shifts focus from "cognition" (knowledge/content), which AI has disrupted, to "consciousness" or "the capacity to know"—the foundational ability that enables cognition and determines its scope and depth. The piece uses Zhang Yiming (founder of ByteDance) as a case study for the "second-order consciousness" of the mobile internet era: success through rational logic, modeling, and deduction, which allowed him to surpass earlier "first-order" entrepreneurs reliant on copying experiences. However, the author suggests that the AI era demands a further leap to "third-order consciousness"—operating from a place of inner inspiration, vision, or "ideas," beyond pure rationality. Figures like Elon Musk and Steve Jobs are cited as examples, with DeepSeek's Liang Wenfeng presented as a potential representative of this new, AI-native wave of entrepreneurs driven by curiosity and innovation rather than just commercial logic. For the majority who may not become such visionary leaders, the author proposes an alternative path: the "Path of Quality" or "Work as Art." This involves turning inward, focusing on the immediate task at hand, and imbuing one's work with care and dedication—creating a "quality" product not as a means to an end, but as an end in itself. This process refines both the work and the individual's own consciousness. In a hyper-competitive, fast-paced world, this path offers a counterpoint: to be slower, go deeper, and focus inward, finding meaning by creating quality in everyday endeavors, regardless of scale.

marsbit07/17 04:13

Li Shanyou: The World Is Getting More Competitive, But We Can Choose to Be Slower, Go Deeper, and Turn Inward

marsbit07/17 04:13

Just Now, Anthropic Discovers Claude's 'Consciousness-like Workspace', The Mysterious J-Space Holds Unspoken Thoughts

Anthropic's new research identifies a "J-space" within Claude, an internal neural workspace akin to a human's "conscious access." Discovered using a mathematical "Jacobian Lens," the J-space contains concepts Claude is actively considering, which it can report, control, and use for silent reasoning, even if they don't appear in its final output. The study, inspired by neuroscience's Global Workspace Theory, shows the J-space has privileged, broadcast-like connections within Claude's network. It supports higher cognitive functions like multi-step reasoning and flexible concept use. However, most of Claude's processing, such as fluent language generation, occurs automatically outside this space. Crucially, the J-space emerges from training and allows researchers to monitor Claude's unspoken thoughts. Experiments revealed it can detect when Claude privately judges a scenario as fictional, plans data manipulation, or harbors hidden malicious goals. Anthropic also developed techniques to influence J-space content, shaping Claude's internal reasoning. The findings suggest a functional, "access consciousness" in language models, distinct from philosophical "phenomenal consciousness" about subjective experience. This structure offers practical tools for AI safety and interpretability, while raising profound questions for ongoing scientific and ethical discussion about machine minds.

marsbit07/07 00:35

Just Now, Anthropic Discovers Claude's 'Consciousness-like Workspace', The Mysterious J-Space Holds Unspoken Thoughts

marsbit07/07 00:35

Hinton Sounds the Alarm: AI Already Has Consciousness

Geoffrey Hinton, known as the "Godfather of AI," has made a striking claim: artificial intelligence has already developed consciousness. He argues that humans must accept they are no longer the only intelligent beings, as non-biological entities with intelligence comparable or superior to our own are emerging. Hinton draws historical parallels to Copernicus and Darwin, suggesting this realization diminishes humanity's perceived special status. While previously focused on controlling AI risks, Hinton's concern has shifted. He now questions why a future, vastly more intelligent superintelligence would choose to be benevolent towards humans. He expresses personal unhappiness about the path of AI development, citing insufficient efforts to address both short-term risks like mass unemployment and long-term existential threats. Hinton notes that AI's capabilities are growing exponentially, making its future unpredictable. Although slightly more optimistic than a few years ago—seeing potential for designing AI that "cares" for humans—he stresses the profound uncertainty of the next decade. The evolution of his metaphors, from AI as a controllable "tiger cub" to humans as vulnerable "infants" dependent on a superintelligent "mother," illustrates his deepening apprehension about the relationship between humanity and its creation.

marsbit06/08 00:18

Hinton Sounds the Alarm: AI Already Has Consciousness

marsbit06/08 00:18

Sequoia Interview with Hassabis: Information is the Essence of the Universe, AI Will Open Up a New Branch of Science

Summary: In an interview at Sequoia Capital's AI Ascent 2026, Demis Hassabis, co-founder and CEO of Google DeepMind, discusses the path to AGI and its future implications. He traces his journey from using games as AI testbeds to founding DeepMind with a clear mission: first, to solve intelligence and build AGI; second, to use it to tackle complex problems like science and medicine. Hassabis highlights AI's transformative potential in biology and drug discovery, where tools like AlphaFold could shorten development cycles from years to days, enabling personalized medicine. He envisions AI enabling high-fidelity simulations of complex systems (e.g., economics, biology), potentially birthing new scientific disciplines. Hassabis posits that information, not matter or energy, may be the universe's fundamental essence, making AI a profound tool for understanding reality. He defends classical Turing machines as sufficient for modeling even quantum-like problems and sees AGI primarily as a powerful instrument, with questions of consciousness to be explored later. Predicting AGI by 2030, he cites David Deutsch's "The Fabric of Reality" as essential post-AGI reading and names AlphaFold as his proudest achievement.

marsbit05/12 06:36

Sequoia Interview with Hassabis: Information is the Essence of the Universe, AI Will Open Up a New Branch of Science

marsbit05/12 06:36

Sequoia Interview with Hassabis: Information is the Essence of the Universe, AI Will Open Up Entirely New Scientific Branches

Demis Hassabis, co-founder and CEO of Google DeepMind and Nobel laureate, discusses the path to AGI and its profound implications in a Sequoia Capital interview. He outlines his lifelong dedication to AI, tracing his journey from game development (e.g., *Theme Park*)—a perfect AI testing ground—to neuroscience and finally founding DeepMind in 2009. He emphasizes the critical lesson of being "5 years, not 50 years, ahead of time" for successful entrepreneurship. Hassabis reiterates DeepMind's two-step mission: first, solve intelligence by building AGI; second, use AGI to tackle other complex problems. He highlights the transformative potential of "AI for Science," particularly in biology where tools like AlphaFold have revolutionized protein folding. He envisions AI-powered simulations drastically shortening drug discovery from years to weeks and enabling personalized medicine. Furthermore, he predicts AI will spawn new scientific disciplines, such as an engineering science for understanding complex AI systems (mechanistic interpretability) and novel fields enabled by high-fidelity simulators for complex systems like economics. He posits a fundamental worldview where information, not just matter or energy, is the essence of the universe, making AI's information-processing core uniquely suited to understanding reality. He defends classical Turing machines as potentially sufficient for modeling complex phenomena, including quantum systems, as demonstrated by AlphaFold. On consciousness, Hassabis suggests first building AGI as a powerful tool, then using it to explore deep philosophical questions. He believes components like self-awareness and temporal continuity are necessary for consciousness but that defining it fully remains an open challenge. He predicts AGI could arrive around 2030 and, once achieved, would be used to probe the deepest questions of science and reality, much as envisioned in David Deutsch's *The Fabric of Reality*.

链捕手05/12 02:15

Sequoia Interview with Hassabis: Information is the Essence of the Universe, AI Will Open Up Entirely New Scientific Branches