Thinking Religion 173: Frankenstein’s AI Monster

I’m back with Matthew Klippenstein this week. Our episode began with a discussion about AI tools and their impact on research and employment, including experiences with different web browsers and their ecosystems. The conversation then evolved to explore the evolving landscape of technology, particularly focusing on AI’s impact on web design and content consumption, while also touching on the resurgence of physical media and its cultural significance. The discussion concluded with an examination of Mary Shelley’s “Frankenstein” and its relevance to current AI discussions, along with broader themes about creation, consciousness, and the human tendency to view new entities as either threats or allies.

https://open.spotify.com/episode/50pfFhkCFQXpq8UAhYhOlc

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AI Tools in Research Discussion

Matthew and Sam discussed Sam’s paper and the use of AI tools like GPT-5 for research and information synthesis. They explored the potential impact of AI on employment, with Matthew noting that AI could streamline information gathering and synthesis, reducing the time required for tasks that would have previously been more time-consuming. Sam agreed to send Matthew links to additional resources mentioned in the paper, and they planned to discuss further ideas on integrating AI tools into their work.

Browser Preferences and Ecosystems

Sam and Matthew discussed their experiences with different web browsers, with Sam explaining his preference for Brave over Chrome due to its privacy-focused features and historical background as a Firefox fork. Sam noted that he had recently switched back to Safari on iOS due to new OS updates, while continuing to use Chromium-based browsers on Linux. They drew parallels between browser ecosystems and religious denominations, with Chrome representing a dominant unified system and Safari as a smaller but distinct alternative.

AI’s Impact on Web Design

Sam and Matthew discussed the evolving landscape of technology, particularly focusing on AI’s impact on web design, search engine optimization, and content consumption. Sam expressed excitement about the new iteration of web interaction, comparing it to predictions from 10 years ago about the future of platforms like Facebook Messenger and WeChat. They noted that AI agents are increasingly becoming the intermediaries through which users interact with content, leading to a shift from human-centric to AI-centric web design. Sam also shared insights from his personal blog, highlighting an increase in traffic from AI agents and the challenges of balancing accessibility with academic integrity.

Physical Media’s Cultural Resurgence

Sam and Matthew discussed the resurgence of physical media, particularly vinyl records and CDs, as a cultural phenomenon and personal preference. They explored the value of owning physical copies of music and books, contrasting it with streaming services, and considered how this trend might symbolize a return to tangible experiences. Sam also shared his interest in integral ecology, a philosophical approach that examines the interconnectedness of humans and their environment, and how this perspective could influence the development and understanding of artificial intelligence.

AI Development and Environmental Impact

Sam and Matthew discussed the rapid development of AI and its environmental impact, comparing it to biological R/K selection theory where fast-reproducing species are initially successful but are eventually overtaken by more efficient, slower-reproducing species. Sam predicted that future computing interfaces would become more humane and less screen-based, with AI-driven technology likely replacing traditional devices within 10 years, though there would still be specialized uses for mainframes and Excel. They agreed that current AI development was focused on establishing market leadership rather than long-term sustainability, with Sam noting that antitrust actions like those against Microsoft in the 1990s were unlikely in the current regulatory environment.

AI’s Role in Information Consumption

Sam and Matthew discussed the evolving landscape of information consumption and the role of AI in providing insights and advice. They explored how AI tools can assist in synthesizing large amounts of data, such as academic papers, and how this could reduce the risk of misinformation. They also touched on the growing trend of using AI for personal health advice, the challenges of healthcare access, and the shift in news consumption patterns. The conversation highlighted the transition to a more AI-driven information era and the potential implications for society.

AI’s Impact on White-Collar Jobs

Sam and Matthew discussed the impact of AI and automation on employment, particularly how it could affect white-collar jobs more than blue-collar ones. They explored how AI tools might become cheaper than hiring human employees, with Matthew sharing an example from a climate newsletter offering AI subscriptions as a cost-effective alternative to hiring interns. Sam referenced Ursula Le Guin’s book “Always Coming Home” as a speculative fiction work depicting a post-capitalist, post-extractive society where technology serves a background role to human life. The conversation concluded with Matthew mentioning his recent reading of “Frankenstein,” noting its relevance to current AI discussions despite being written in the early 1800s.

Frankenstein’s Themes of Creation and Isolation

Matthew shared his thoughts on Mary Shelley’s “Frankenstein,” noting its philosophical depth and rich narrative structure. He described the story as a meditation on creation and the challenges faced by a non-human intelligent creature navigating a world of fear and prejudice. Matthew drew parallels between the monster’s learning of human culture and language to Tarzan’s experiences, highlighting the themes of isolation and the quest for companionship. He also compared the nested storytelling structure of “Frankenstein” to the film “Inception,” emphasizing its complexity and the moral questions it raises about creation and control.

AI, Consciousness, and Human Emotions

Sam and Matthew discussed the historical context of early computing, mentioning Ada Lovelace and Charles Babbage, and explored the theme of artificial intelligence through the lens of Mary Shelley’s “Frankenstein.” They examined the implications of teaching AI human-like emotions and empathy, questioning whether such traits should be encouraged or suppressed. The conversation also touched on the nature of consciousness as an emergent phenomenon and the human tendency to view new entities as either threats or potential allies.

Human Creation and Divine Parallels

Sam and Matthew discussed the book “Childhood’s End” by Arthur C. Clark and its connection to the film “2001: A Space Odyssey.” They also talked about the origins of Mary Shelley’s “Frankenstein” and the historical context of its creation. Sam mentioned parallels between human creation of technology and the concept of gods in mythology, particularly in relation to metalworking and divine beings. The conversation touched on the theme of human creation and its implications for our understanding of divinity and ourselves.

Robustness Over Optimization in Systems

Matthew and Sam discussed the concept of robustness versus optimization in nature and society, drawing on insights from a French biologist, Olivier Hamant, who emphasizes the importance of resilience over efficiency. They explored how this perspective could apply to AI and infrastructure, suggesting a shift towards building systems that are robust and adaptable rather than highly optimized. Sam also shared her work on empathy, inspired by the phenomenology of Edith Stein, and how it relates to building resilient systems.

Efficiency vs. Redundancy in Resilience

Sam and Matthew discussed the importance of efficiency versus redundancy and resilience, particularly in the context of corporate America and decarbonization efforts. Sam referenced recent events involving Elon Musk and Donald Trump, highlighting the potential pitfalls of overly efficient approaches. Matthew used the historical example of polar expeditions to illustrate how redundancy and careful planning can lead to success, even if it means being “wasteful” in terms of resources. They agreed that a cautious and prepared approach, rather than relying solely on efficiency, might be more prudent in facing unexpected challenges.

Frankenstein’s Themes and Modern Parallels

Sam and Matthew discussed Mary Shelley’s “Frankenstein,” exploring its themes and cultural impact. They agreed on the story’s timeless appeal due to its exploration of the monster’s struggle and the human fear of the unknown. Sam shared personal experiences teaching the book and how students often misinterpret the monster’s character. They also touched on the concept of efficiency as a modern political issue, drawing parallels to the story’s themes. The conversation concluded with Matthew offering to share anime recommendations, but they decided to save that for a future discussion.

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China’s AI Path

Some fascinating points here regarding AI development in the US compared to China… in short, China is taking more of an “open” (not really but it’s a good metaphor) approach based on its market principles with open weights while the US companies are focused on restricting access to the weights (don’t lose the proprietary “moat” that might end up changing the world and all)…

🔮 China’s on a different AI path – Exponential View:

China’s approach is more pragmatic. Its origins are shaped by its hyper‑competitive consumer internet, which prizes deployment‑led productivity. Neither WeChat nor Douyin had a clear monetization strategy when they first launched. It is the mentality of Chinese internet players to capture market share first. By releasing model weights early, Chinese labs attract more developers and distributors, and if consumers become hooked, switching later becomes more costly.

Tech Fiefdoms (for real)

I’ve been saying this for a while now… Ursula Le Guin tries to warn us still:

Tech Billionaires Accused of Quietly Working to Implement “Corporate Dictatorship”:

“It sees a post-United States world where, instead of democracy, we will have basically tech feudalism — fiefdoms run by tech corporations. They’re pretty explicit about this point.”

Substack’s AI Report

Interesting stats here…

The Substack AI Report – by Arielle Swedback – On Substack:

Based on our results, a typical AI-using publisher is 45 or over, more likely to be a man, and tends to publish in categories like Technology and Business. He’s not using AI to generate full posts or images. Instead, he’s leaning on it for productivity, research, and to proofread his writing. Most who use AI do so daily or weekly and have been doing so for over six months.

Mistral’s Report on Environmental Impact

I’m generally skeptical about these sorts of tech related impact reports, but it is a good sign to see a mainstream AI-focused company put this together when we all are aware that the AI systems we are using water, rare earth minerals, and our electrical grid in non-sustainable and often coloinalistic ways (reflecting the larger global tech culture that has expanded over the last decade of decadence):

Our contribution to a global environmental standard for AI | Mistral AI:

Today, as AI becomes increasingly integrated into every layer of our economy, it is crucial for developers, policymakers, enterprises, governments and citizens to better understand the environmental footprint of this transformative technology. At Mistral AI, we believe that we share a collective responsibility with each actor of the value chain to address and mitigate the environmental impacts of our innovations…

In this context, we have conducted a first-of-its-kind comprehensive study to quantify the environmental impacts of our LLMs. This report aims to provide a clear analysis of the environmental footprint of AI, contributing to set a new standard for our industry.

Integral Ecology, AI, and Wage Futures of the Carolinas

Long piece I just published on Carolina Ecology…

Integral Ecology, AI, and Wage Futures of the Carolinas:

The kind of future we want is one where the Carolinas are thriving, ecologically flourishing, socially just, economically inclusive, and spiritually fulfilling. No one will hand us this future ready-made. It will be crafted, decision by decision, action by action, by us, the people of this beautiful corner of Earth.

Thinking Religion 172: Matthew Klippenstein

Matthew joins me again to discuss artificial intelligence, ancient constructs of aid, panpsychism, science and the humanities, and formation of religious texts.

Mentioned:

⁠Panpsychism⁠

Matthew Segall⁠

⁠The Blind Spot

https://open.spotify.com/episode/5WOgpBOrn0jdjBbOrJKkrW?si=debe90ed5df84673

On the Proliferation of Religion and AI

Fascinating thoughts here on AI, religion, and consciousness from Matt Segall (one of my professors in my PhD work on Religion, Ecology, and Spirituality at CIIS who is helping to lead the way through the pluriverse)…

“Philosophy in the Age of Technoscience: Why We Need the Humanities to Navigate AI and Consciousness”:

We might dismiss ancient religious as overly anthropocentric or indeed anthropomorphic. But I think from my point of view, we need to recognize that before we rush to transcend the human, we have to understand what we are, and all of our sciences are themselves inevitably anthropocentric.

Eyelash Mites and Remarks on AI from Neal Stephenson

Fascinating point here from Stephenson and echoes my own sentiments that AI itself is not necessarily a horrid creation that needs to be locked away, but a “new” modern cultural concept that we’d do well to realize points us back towards the importance of our own integral ecologies…

Remarks on AI from NZ – by Neal Stephenson – Graphomane:

The mites, for their part, don’t know that humans exist. They just “know” that food, in the form of dead skin, just magically shows up in their environment all the time. All they have to do is eat it and continue living their best lives as eyelash mites. Presumably all of this came about as the end result of millions of years’ natural selection. The ancestors of these eyelash mites must have been independent organisms at some point in the distant past. Now the mites and the humans have found a modus vivendi that works so well for both of them that neither is even aware of the other’s existence. If AIs are all they’re cracked up to be by their most fervent believers, this seems like a possible model for where humans might end up: not just subsisting, but thriving, on byproducts produced and discarded in microscopic quantities as part of the routine operations of infinitely smarter and more powerful AIs.

The coming (very soon) torrent of artificial intelligence bots on the web and throughout our lives is going to be revolutionary for humanity in so many ways.

“We are now confident we know how to build AGI…”

That statement is something that should be exciting as well as a “woah” moment to all of us. This is big and you should be paying attention.

Reflections – Sam Altman:

We are now confident we know how to build AGI as we have traditionally understood it. We believe that, in 2025, we may see the first AI agents “join the workforce” and materially change the output of companies. We continue to believe that iteratively putting great tools in the hands of people leads to great, broadly-distributed outcomes.

We are beginning to turn our aim beyond that, to superintelligence in the true sense of the word. We love our current products, but we are here for the glorious future. With superintelligence, we can do anything else. Superintelligent tools could massively accelerate scientific discovery and innovation well beyond what we are capable of doing on our own, and in turn massively increase abundance and prosperity.

OpenAI’s Strawberry

Happening quickly…

Exclusive: OpenAI working on new reasoning technology under code name ‘Strawberry’ | Reuters:

The document describes a project that uses Strawberry models with the aim of enabling the company’s AI to not just generate answers to queries but to plan ahead enough to navigate the internet autonomously and reliably to perform what OpenAI terms “deep research,” according to the source. This is something that has eluded AI models to date, according to interviews with more than a dozen AI researchers.

AI and Bicycle of the Mind

I don’t have the same optimism that Thompson does here, but it’s a good read and worth the thought time!

The Great Flattening – Stratechery by Ben Thompson:

What is increasingly clear, though, is that Jobs’ prediction that future changes would be even more profound raise questions about the “bicycle for the mind” analogy itself: specifically, will AI be a bicycle that we control, or an unstoppable train to destinations unknown? To put it in the same terms as the ad, will human will and initiative be flattened, or expanded?

OpenAI’s Lens on the Near Future

Newton has the best take I’ve read (and I’ve read a lot) on the ongoing OpenAI / Sam Altman situation… worth your time:

OpenAI’s alignment problem – by Casey Newton – Platformer:

At the same time, though, it’s worth asking whether we would still be so down on OpenAI’s board had Altman been focused solely on the company and its mission. There’s a world where an Altman, content to do one job and do it well, could have managed his board’s concerns while still building OpenAI into the juggernaut that until Friday it seemed destined to be.

That outcome seems preferable to the world we now find ourselves in, where AI safety folks have been made to look like laughingstocks, tech giants are building superintelligence with a profit motive, and social media flattens and polarizes the debate into warring fandoms. OpenAI’s board got almost everything wrong, but they were right to worry about the terms on which we build the future, and I suspect it will now be a long time before anyone else in this industry attempts anything other than the path of least resistance.

AI Assistants and Education in 5 Years According to Gates

I do agree with his take on what education will look like for the vast majority of young and old people with access to the web in the coming decade. Needless to say, AI is going to be a big driver of what it means to learn and how most humans experience that process in more authentic ways than currently available…

AI is about to completely change how you use computers | Bill Gates:

In the next five years, this will change completely. You won’t have to use different apps for different tasks. You’ll simply tell your device, in everyday language, what you want to do. And depending on how much information you choose to share with it, the software will be able to respond personally because it will have a rich understanding of your life. In the near future, anyone who’s online will be able to have a personal assistant powered by artificial intelligence that’s far beyond today’s technology.

Education Innovation and Cognitive Artifacts

Must read from Mr. Brent Kaneft (our Head of School at Wilson Hall, where I am a teacher)…

Wise Integration: Sea Squirts, Tech Bans, and Cognitive Artifacts (Summer Series) | Brent Kaneft – Intrepid ED News:

So the strange paradox of innovation is that every innovation has the potential to be an existential threat to the physical, social, spiritual, and cognitive development of humans. The allure is the convenience (our brains are always looking to save energy!) and the potentiality innovation offers, but the human cost can be staggering, either immediately or slowly, like the impact of mold secretly growing behind an attractive wallpaper. To return to Tristan Harris’s point: machines are improving as humans downgrade in various ways. As professional educators, we have to ask whether innovation will prove detrimental to the fundamental qualities we want to develop in our students.

It’s a Different Sort of Revolution

I don’t think we’re prepared to understand how AI (especially more advanced generative AIs) will impact what we currently consider career jobs… especially for those with advanced degrees.

This represents a stark difference in past societal shifts when physical labor-focused employment and careers were impacted…

Biggest Losers of AI Boom Are Knowledge Workers, McKinsey Says – Bloomberg:

In that respect, it may be the opposite of significant technology upgrades of the past, which often came at the expense of occupations where workers had fewer educational qualifications and got paid less. Many were performing physical tasks — like the British textile workers who smashed up new cost-saving weaving machines, a movement that became known as the Luddites.

By contrast, the new shift “will challenge the attainment of multiyear degree credentials,” McKinsey said.

DeepMind AI Cracks Protein Folding

Incredible advancement in very important science…

“With its latest AI program, AlphaFold, the company and research laboratory showed it can predict how proteins fold into 3D shapes, a fiendishly complex process that is fundamental to understanding the biological machinery of life.

Independent scientists said the breakthrough would help researchers tease apart the mechanisms that drive some diseases and pave the way for designer medicines, more nutritious crops and “green enzymes” that can break down plastic pollution.”

apple.news/A2R762pmKQm-u_eRyAQnmZg

YouTube and “Reinforcing” Psychologies

“The new A.I., known as Reinforce, was a kind of long-term addiction machine. It was designed to maximize users’ engagement over time by predicting which recommendations would expand their tastes and get them to watch not just one more video but many more.

Reinforce was a huge success. In a talk at an A.I. conference in February, Minmin Chen, a Google Brain researcher, said it was YouTube’s most successful launch in two years. Sitewide views increased by nearly 1 percent, she said — a gain that, at YouTube’s scale, could amount to millions more hours of daily watch time and millions more dollars in advertising revenue per year. She added that the new algorithm was already starting to alter users’ behavior.

“We can really lead the users toward a different state, versus recommending content that is familiar,” Ms. Chen said.”

via “The Making of a YouTube Radical” by Kevin Roose in the New York Times

Tackling Tech Bias for People with Disabilities

Fantastic post… every organization, nonprofit, and church could gain valuable insight from the takeaways here:

The best path ahead is to seek out the affected stakeholders and work with them towards a fair and equitable system. If we can identify and remove bias against people with disabilities from our technologies, we will be taking an important step towards creating a society that respects and upholds the human rights of us all.

Via Venturebeat