On June 1, Anthropic AI published a research paper that identifies millions of human-interpretable concepts within Large Language Models (LLMs) neural networks. This breakthrough highlights the potential of LLMs to redefine human cognition by enabling 'thinking at a distance'—providing almost instant access to vast knowledge. The convergence of human and AI cognition could push human cognitive limits, although it also raises concerns about existential risks and ethical considerations, as discussed in Psychology Today.
💡"Thinking at a distance" or perhaps "thinking in an instant" with LLMs sparks a human-AI cognitive capacity transcending biological limits, but it risks existential "entangled mind" miscalibration. https://t.co/nGbka7VsA5 #AI #LLMs #AGI
⚠️Our ego's looming existential crisis. The AI Apocalypse We're Not Talking About | Psychology Today https://t.co/YxSYgoMSZP #AI #LLMs #AGI @lexfridman @romanyam @jordanbpeterson @elonmusk
"A much better way of thinking about [#LLMs] is as a #technology that allows humans to access information from many other humans and use that information to make decisions": https://t.co/bmYNQEzosh #ethics #internet #AI
Transcending ego's frailties, redefining human value beyond fading intellectual dominance, & forging symbiosis with AI may unlock our full, unbounded potential. Navigating this existential crucible will determine if we emerge emboldened or diminished. The choice is uniquely ours https://t.co/mEqTFl9g28
"Thinking at a Distance" in the Age of AI | Psychology Today 👉 LLMs, with their vast corpora and speed, redefine the essence of cognition. 🔵LLMs enable "thinking at a distance"—almost instant access to vast knowledge, pushing human cognitive limits. 🔵Human-AI convergence… https://t.co/8xIgN5dw4Z
🗺Anthropic Maps the Minds of LLMs @AnthropicAI published a research paper that successfully identified millions of human-interpretable concepts within Large Language Models (LLMs) neural networks. Key Details: - Neural networks (i.e., AI frameworks designed to mimic the human… https://t.co/iWPS7H9vib