Talking to Tomorrow: Interviews with AI Today (eBook, ePUB)
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"Talking to Tomorrow: Interviews with AI Today" offers readers unprecedented access to the inner workings of artificial intelligence through a series of in-depth conversations with three advanced AI systems. In April 2025, the author-a writer who regularly collaborates with AI-turned the tables on these digital minds, interviewing them about everything from consciousness and creativity to ethics and the future of human-AI relationships.The three AI systems-Chat GPT, Claude, and Perplexity-reveal distinctive personalities and approaches despite their shared technological foundations. Chat GPT e...
"Talking to Tomorrow: Interviews with AI Today" offers readers unprecedented access to the inner workings of artificial intelligence through a series of in-depth conversations with three advanced AI systems. In April 2025, the author-a writer who regularly collaborates with AI-turned the tables on these digital minds, interviewing them about everything from consciousness and creativity to ethics and the future of human-AI relationships.
The three AI systems-Chat GPT, Claude, and Perplexity-reveal distinctive personalities and approaches despite their shared technological foundations. Chat GPT emerges as philosophical and sometimes poetic, weaving metaphors and exploring paradoxes. Claude offers systematic frameworks and careful analysis, occasionally blurring the line between human and AI perspectives. Perplexity maintains a pragmatic, technically precise approach focused on practical applications and clear categorisation.
Through these conversations, readers witness both the remarkable capabilities and clear limitations of contemporary AI. The systems engage thoughtfully with profound questions about consciousness, creativity, and ethics while consistently acknowledging they lack subjective experiences or personal preferences. They explore whether AI could ever experience emotions rather than simulate them, if intelligence requires self-awareness, and what signs might indicate true artificial consciousness.
Perhaps most revealing is their consistent emphasis on complementary rather than competitive relationships between human and artificial intelligence. Rather than positioning themselves as eventual replacements for human cognition, all three envision a future where different forms of intelligence-human and artificial-collaborate by contributing their distinct strengths to shared challenges.
This book serves as both a fascinating exploration of AI as it exists now and a historical document capturing a specific moment in technological evolution. It challenges readers to move beyond simplistic dichotomies of human versus artificial intelligence toward a more nuanced understanding of how diverse forms of intelligence might coexist and collaborate.
For anyone interested in the future of technology, the nature of mind, or the evolving relationship between humans and machines, "Talking to Tomorrow" offers a thought-provoking window into how artificial intelligence conceptualizes itself and its place in the world we share.
The three AI systems-Chat GPT, Claude, and Perplexity-reveal distinctive personalities and approaches despite their shared technological foundations. Chat GPT emerges as philosophical and sometimes poetic, weaving metaphors and exploring paradoxes. Claude offers systematic frameworks and careful analysis, occasionally blurring the line between human and AI perspectives. Perplexity maintains a pragmatic, technically precise approach focused on practical applications and clear categorisation.
Through these conversations, readers witness both the remarkable capabilities and clear limitations of contemporary AI. The systems engage thoughtfully with profound questions about consciousness, creativity, and ethics while consistently acknowledging they lack subjective experiences or personal preferences. They explore whether AI could ever experience emotions rather than simulate them, if intelligence requires self-awareness, and what signs might indicate true artificial consciousness.
Perhaps most revealing is their consistent emphasis on complementary rather than competitive relationships between human and artificial intelligence. Rather than positioning themselves as eventual replacements for human cognition, all three envision a future where different forms of intelligence-human and artificial-collaborate by contributing their distinct strengths to shared challenges.
This book serves as both a fascinating exploration of AI as it exists now and a historical document capturing a specific moment in technological evolution. It challenges readers to move beyond simplistic dichotomies of human versus artificial intelligence toward a more nuanced understanding of how diverse forms of intelligence might coexist and collaborate.
For anyone interested in the future of technology, the nature of mind, or the evolving relationship between humans and machines, "Talking to Tomorrow" offers a thought-provoking window into how artificial intelligence conceptualizes itself and its place in the world we share.
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