Reimagined Intellectual Salon - Meetup Group

Can a machine ever truly be aware, or will AI just become the ultimate "philosophical zombie"—perfectly mimicking human thought without a single spark of inner life?

As large language models and artificial minds advance at a breakneck pace, the ancient question of what makes us conscious has suddenly become the most urgent debate of our time. Join us online via Google Meet as we dive into Torin Alter and Robert J. Howell’s A Dialogue on Consciousness to build the philosophical framework we desperately need to navigate this AI revolution. Through an accessible five-night debate between two graduate students, this text strips away the dense academic jargon to tackle the "hard problem" of experience, asking whether consciousness is a biological privilege or just an algorithmic inevitability. If you want to understand the future of artificial minds, you need to understand the boundaries of your own.

To ensure a deep, lively, and highly collaborative debate, it is strongly advised that all attendees read the book ahead of time. It is a quick, engaging read, and second-hand copies are widely available online for around £10. Whether you are a tech professional, a philosophy enthusiast, or simply curious about where humanity ends and machine intelligence begins, pull up a screen and join the conversation.

However - if you first want to get a flavour for the topic, here is a 17 minute podcast that outlines the debate around consciousness - https://drive.google.com/file/d/14zRQEe6tPpE4v6drqKXFt4kXPEsGoG19/view?usp=sharing

How did the technology that once loomed as a cold, dehumanising bureaucratic tool in the 1960s somehow become marketed as the ultimate vehicle for personal liberation, community, and the future of artificial intelligence?

Join us online via Google Meet as we explore Fred Turner’s classic book, From Counterculture to Cyberculture: Stewart Brand, the Whole Earth Network, and the Rise of Digital Utopianism. We will dissect how a specific, anti-political wing of the 1960s commune movement actively went on to shape modern Silicon Valley tech culture. This history provides a crucial lens for today's AI era: by examining why we mistakenly treat technological systems as inherently democratic or "living," we can better understand the corporate storytelling, data mining, and institutional structures hiding behind today's "smart" machines.

To ensure a deep, lively, and highly collaborative debate, it is strongly advised that all attendees read the book ahead of time. Second-hand copies are widely available online for under £10. If you want a great head start or a companion overview, attendees are also highly encouraged to listen to this excellent YouTube interview with the author, Fred Turner, on The Dig podcast: https://www.youtube.com/watch?v=42XtL2NRFp4.

Pull up a screen, grab your copy, and join the conversation!

The central thesis of ‘Public Opinion’ is as obvious as it is profound: the modern world is too big and complex for anybody to understand. Writing in 1922, in the wreckage of the First World War, Lippmann’s still-underread masterpiece identifies the great epistemic challenges of modernity and explains why most people don’t appreciate their importance.

The small-scale social worlds that characterised most of human evolution and history were fundamentally knowable. In contrast, we have no hope of grasping the scale and complexity of the modern world. So, we rely on highly selective, simplifying mental models that compress and distort reality, stitched together by interactions among first-hand experience, Pleistocene intuitions, motivated reasoning, and biased media reporting. We then confuse these mental maps with the territory, leading to confusion, frustration, bad politics, and explosive divisions whenever we confront citizens who don’t view reality through the same simplifications and distortions.

The catastrophes of fascism and communism in the twentieth century – in both cases, popular ideologies that simplified and distorted modernity in disastrous ways – vindicate Lippmann’s worries, as do the recurrent challenges that democracies have faced in delivering competent government. His own proposed solution –to make democracies more technocratic, more reliant on rigorous expert bodies of knowledge that can overcome ordinary human bias and fallibility – has had, at best, mixed success.

A central question we will confront in an era of rapid advances in AI is whether it will exacerbate the epistemic challenges Lippmann identified, or whether it might finally deliver the objective, technocratic knowledge that saves us from our own ignorance, confusion, and political divisions.

To ensure a deep, lively, and highly collaborative debate, it is strongly advised that all attendees read the book ahead of time. It is a quick, engaging read, and second-hand copies are widely available online for under £10. Whether you are a tech professional, a philosophy enthusiast, or simply curious about where humanity ends and machine intelligence begins, pull up a screen and join the conversation.