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Dieser Podcast wird gerade aktualisiert – wir suchen nach neuen Episoden …

Why Would AI Want to Kill Us? With Nate Soares

44 Minuten
It has been a huge week for AI safety.

For those of us deeply concerned about this historically niche cause, it has felt a bit like one’s cult emo band has suddenly rocketed to the top of the charts. People suddenly care, a lot. And for good reason.

The principal reason is this tweet — the most viral tweet in recent memory — suggesting that the frontier labs do not have it figured out, and that we are on the edge of a dangerous precipice. (FWIW, I tend to agree with the tweet’s concerns.)

Calibrating risk is a difficult thing. We look for experts who can tell us how bad things are. With little evidence of our own we’re forced to look for proxies in knowledgable folks. In this case, the most knowledgable folks I know are desperate for a functioning governmental body that can effectively slow down the pace of AI development. No one has it figured out.

Beneath this, I am not convinced artificial minds will kill us imminently. But I do believe we need to have a clear and sober discourse on what types of AI alignment efforts may or may not be working.

In line with this, today I’m publishing a conversation on one (arguably very edgy) side of the debate — with Nate Soares, president of the Machine Intelligence Research Institute. Nate wrote the book, If Anyone Builds It, Everyone Dies, along with his coauthor Eliezer Yudkowsky. I wanted to probe the dimensions of his views here, and I think it is a helpful part of the discourse. I do not believe, as he does, that AI is an inevitable doomsday device, but I do think his position is an important one to explore.

I plan to follow up with voices who might counter his particular perspective and legibly suggest the ways he might be wrong. Because I want him to be wrong.

As always, thanks for listening.

A small ask:

The irony is not lost on me in trying to critique the algorithms while still being dependent upon them to reach the right audience.

If you do enjoy the show, please consider becoming a paid subscriber, share it with a friend or drop us a rating.

You can follow us here:

* Apple Podcasts

* YouTube

* Spotify

* Instagram

Get full access to Into The Machine at tobias.substack.com/subscribe

Steven Pinker on Revolutions, Rogue AI, and the Struggle for Reality

50 Minuten
Dr. Steven Pinker is a cognitive scientist at Harvard, a 2x Pulitzer Prize finalist, and author of notable works like The Blank Slate, How the Mind Works, The Better Angels of Our Nature, and Enlightenment Now.

Today we discuss his research on the psychology of common knowledge and what it means for democracy in a time of infinite AI slop and social media confusion.

We also dive into deeper philosophical questions on AI consciousness and rogue AI — note that this was recorded before the recent Hugging Face incident, making our commentary especially urgent.

His excellent most recent book: When Everyone Knows That Everyone Knows… inspired me to write The Noisy Room — an interactive essay that explains how we might fix the common-knowledge trap sprung by social media.

Programming note: We’ve been off working hard on a great new season of content. I want to offer enormous gratitude to our subscribers for their steady support. Thank you.

A small ask:

The irony is not lost on me in trying to critique the algorithms while still being dependent upon them to reach the right audience.

If you do enjoy the show, please share this episode with a friend and drop us a rating.

You can follow us here:

* Apple Podcasts

* YouTube

* Spotify

* Instagram

Thanks for listening, and please do subscribe.

-Tobias

Get full access to Into The Machine at tobias.substack.com/subscribe

Episode 5: What happens when all the good people leave social media?

1 Stunde 2 Minuten
What happens when the good people leave social media?

Chloé Valdary walked away from 110,000 followers on social media. Not a quiet, lurking exit — but a hard delete.Chloé was a force of nature on Twitter. She built a huge following helping people navigate some of the platform’s thorniest issues with grace and empathy. While many cancelled and called out, Chloé dove headfirst into the hardest conversations offering deep reflection and a dose of savvy humanizing. From George Floyd to Gaza, she was there, helping to deescalate.

Then she left.

In this episode, we unpack what it means when moderates like Chloé leave the platforms that dominate our public conversation.

Who is left? Usually it’s the most polarized and extreme users, who actively own the discourse after that point.

We talk a lot about social media as an Outrage Machine (and my book — of the same title), the hidden incentives shaping our behavior on these platforms, and the mental health cost of constant moral performance.

* If a social platform is a toxic place, what are the obligations we have to the public commons in staying there?

* Are big digital spaces like social media structurally incapable of supporting prosocial conversations?

* Can we protect our mental health while still participating in online political debate?

This conversation explores the trade-offs.

Chloé’s Substack: Musings with Chloé

Chloé’s work: Theory of Enchantment

A small ask:

The irony is not lost on me in trying to critique the algorithms while still being dependent upon them to reach the right audience.

If you do enjoy the show, please share this episode with a friend or drop us a rating

Into The Machine is a listener & reader supported project. If you enjoy these conversations, please consider becoming a paid subscriber. It allows for me to spend more time and effort researching new guests and making this a real thing.

You can follow us here:

* Apple Podcasts

* YouTube

* Spotify

* Instagram

Get full access to Into The Machine at tobias.substack.com/subscribe

Episode 4: Your kid will probably date an AI, and other terrifying thoughts – A conversation with the founder of Hinge

37 Minuten
Will people stop dating humans?

Over a decade ago, the movie Her portrayed a world where by where large numbers of people opted out of dating, and instead turned to AI for their emotional needs.

Justin McLeod is the founder and CEO of Hinge. He has spent more than a decade thinking about how algorithms shape dating, choice, and human connection.

In this conversation, we look at the rise of AI companionship, how business incentives affect these systems, and where AI-driven intimacy may be heading.

I press Justin on the risks of people turning to AI instead of human relationships, how much autonomy we give to algorithms, and what responsible design might look like.

This episode maps out the key questions we should be asking as we lean further into machine-mediated love.

I hope you enjoy.

A small ask:

The irony is not lost on me in trying to critique the algorithms while still being dependent upon them to reach the right audience.

If you do enjoy the show, please share this episode with a friend and rate us on apple podcasts.

You can follow us here:

* Apple Podcasts

* YouTube

* Spotify

* Instagram

Get full access to Into The Machine at tobias.substack.com/subscribe

Episode 1: Is AI Making Us Stupid? A Conversation with Jonathan Haidt

1 Stunde 4 Minuten
Today I’m launching Into The Machine.

My first episode is a conversation with my colleague, social psychologist and #1 NYT bestselling author Jonathan Haidt.

Jon and I wrote a piece in The Atlantic called The Dark Psychology of Social Networks — hoping to add clarity to the debate around social media. AI has changed the conversation. We now find ourselves in a stranger moment with LLMs, asking deeper questions about what these tools are doing to our ability to think.

In this episode we discuss:

* Attention as civic infrastructure: the erosion of sustained focus undermines shared reality, and with it the preconditions for governance, compromise, and democratic legitimacy.

* Engagement algorithms as centrifuges: rather than reflecting consensus, they pull discourse toward the edges, making fringe views appear as if they represent the center.

* Democracies as uniquely fragile: unlike authoritarian systems that can integrate these technologies into centralized control, liberal democracies are structurally more vulnerable to their fragmenting effects.

* Childhood as the front line: the breakdown of “serve-and-return” interactions, compounded by algorithmic feeds, represents not just a developmental crisis but a possible precursor to broader societal instability.

* Human agency atrophied by delegation: when writing, thinking, and decision-making are outsourced to machines, individuals lose the cognitive muscle required for original judgment.

A small ask

The irony is not lost on us in trying to explain/critique the algorithms while we’re dependent upon them to reach the right audience.

If you do enjoy the show, please add a rating to Apple Podcasts and share with a friend — it really helps.

And pelase do follow:

* Into The Machine on Apple Podcasts

* Into The Machine on YouTube

* Into The Machine on Spotify

* Into The Machine on Instagram

Our next guest is Tim Urban, creator of Wait But Why.

Thank you, as always, for the gift of your attention.

-Tobias

Get full access to Into The Machine at tobias.substack.com/subscribe
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Über diesen Podcast

Little by little, we’ve handed our choices to machine intelligences: social media feeds, chatbots, dating apps – each quietly shaping our thoughts and decisions. Author and technologist Tobias Rose-Stockwell examines how these tools are rewiring what it means to be human: what we gain, what we lose, and what we should fight to hold on to. tobias.substack.com
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Into The Machine with Tobias Rose-Stockwell | Tobias Rose-Stockwell | Substack
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Tobias Rose-Stockwell
Durchschnittliche Länge
Ø 50 Min.
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vor 2 Tg.
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vor 1 J.
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