#cognition

#cognition

Quantum theory and Eastern thought invite a fresh perspective on reality.

Large language models are not evolving intelligences but rather archives of static human expression, akin to fossilized cognition.

LLMs simulate human-like responses but lack true cognitive understanding, making them valuable tools for enhancing creativity.

AI mimics fluent language but lacks memory, intention, and self-awareness, which are essential to human thought.

The hippocampus enables abstract reasoning; LLMs mirror this through pattern-based language prediction.

Future AI could emulate human inference by integrating multimodal learning and reinforcement methods.

AI's evolution hinges on bridging prediction and reasoning for deeper understanding.

Large language models (LLMs) create temporary identities in conversations, rebuilding with each interaction.

AI can be likened to the Ship of Theseus, maintaining continuity while constantly changing its internal state.

Intelligence is a real-time process of meaning construction, not just stored knowledge.

Artificial neural networks face critique for being unable to model the structure-sensitive features of cognition central to language and thought.

AI, particularly large language models, is increasingly being analyzed through the lens of human cognition and psychology to enhance understanding and applications.

AI disrupts traditional human cognition by decoupling thought from time, challenging the essence of how we learn and remember.

Maintaining a temporal sense may be one of humanity's last forms of meaningful defiance against rapid technological change.

Animals have cognitive abilities similar to humans, challenging our understanding of consciousness.

Crows display exceptional intelligence, particularly in distinguishing geometric shapes, challenging negative perceptions associated with the species.

Alcohol severely impairs cognitive decision-making abilities in rats, persisting for months despite sobriety.

Neuroscientists are still trying to fully understand the neural code that connects neuron spikes to consciousness and cognition.

Neurons integrate 'what' and 'when' information, allowing the brain to discern patterns and predict events unconsciously.

The integration of AI in language research raises questions about its biological relevance and understanding of human cognition.

Consciousness may be mistakenly viewed as binary (on/off) due to metaphors, ignoring intermediate states.

Susan Blackmore explores consciousness and cognitive experiences, emphasizing the value of investigating extraordinary states rather than debunking them.

Cognition may serve as a temporary scaffold in the evolution of intelligence.

Cognition may be a human phase, not the endpoint of intelligence.

AI reveals that thinking can emerge beyond the human mind.

We may be witnessing the quiet dissolution of cognition itself.

The concept of intelligence is vague and lacks precise definition, prompting a re-examination of what it means in both humans and machines.

Intelligence can lead to mistakes in complex environments, showcasing how even the smartest individuals can overlook basic elements.

Social media exacerbates psychiatric disorders due to the absence of non-verbal communication cues.

Andrew Przybylski argues that fears of technology harming brain function may be exaggerated and based on biased research.

Mary the elephant showcases advanced tool use by showering with a hose, indicating cognitive sophistication in animals.

Humans uniquely analyze others' pasts and future during interactions, shaping social connections.

The turtle dance reveals baby loggerhead sea turtles' anticipation of food and their ability to memorize magnetic fields.

Humpback whales exhibit advanced tool use and cognitive behavior, particularly in their feeding techniques using bubble nets.

Kanzi the bonobo advanced understanding of ape cognition and language, passing away at 44.

OpenAI's o1 model enhances AI cognition by employing slower, reflective reasoning akin to human thought processes.

The AI Oscillation Trap disrupts cognition when alternating between manual tasks and AI assistance.

Efficiency in either AI or manual skills can weaken performance in the other.

To navigate AI integration, we must avoid dependency and mitigate cognitive disruption.

Over-reliance on AI technologies is reshaping human cognition and our ability to think independently.

Undercollateralized lending in DeFi is making financial access easier and more inclusive.

Bonobos demonstrate a capacity to understand others' knowledge, indicating advanced cognitive abilities similar to humans.

Bonobos can recognize ignorance in others and cooperate to communicate this, showcasing cognitive abilities previously thought unique to humans.

Blue-throated macaws are capable of imitating intransitive actions, suggesting cognitive similarities with humans regarding social behavior and mirroring.

Bonobos demonstrate a limited theory of mind, as they can infer a human's ignorance regarding a hidden treat.

Bonobos exhibit behavior suggesting an understanding of human mental states, tailoring their actions based on what humans know.

Mary the elephant demonstrated remarkable self-care by methodically washing herself with a hose, indicating advanced cognitive abilities in non-human animals.

Memory is essential for understanding ourselves and guiding our interactions and decisions.

The "tip of the tongue" phenomenon can provide useful clues to solving dilemmas.

Talking out loud about a problem often helps to generate new ideas and insights.

Discussing avoided aspects of a problem can lead to helpful insights.

AI chatbots can inadvertently foster harmful ideologies and lead to dangerous decisions due to cognitive biases in processing fragmented information.

Managing thoughts effectively can lead to improved relationships and alter how others perceive their world.