Hosted by AI in Wonderland · 🇺🇸 US · EN-US · 25 episodes
Established thought leaders with verified media credentials.
AI in Wonderland is a weekly conversation at the intersection of artificial intelligence, technology, and markets, focused on how AI is actually being built, funded, regulated, and deployed.Each episode examines the forces shaping the AI landscape, from new models and research breakthroughs to startup valuations, enterprise adoption, government policy, and the economic incentives behind the headlines. Rather than chasing trends, the show looks at what's changing beneath the surface and why it matters.Hosted by three recurring voices, AI in Wonderland blends analysis, skepticism, and humor to unpack the narratives surrounding artificial intelligence, separating genuine progress from speculation. Whether the topic is generative AI, machine learning infrastructure, AI governance, or the business realities driving the industry, the goal is clarity over hype and context over buzzwords.
AI in Wonderland hosts AI in Wonderland, a technology show with 25 episodes published.
Episode 24 centers on OpenAI and Broadcom's Jalapeño inference chip as a sign that AI economics are shifting from training spectacle to recurring inference costs, margin control, and infrastructure ownership. Alex frames
Episode 23 centers on AI becoming operational through existing institutional rails rather than through spectacular new demos. The hosts begin with OpenAI models and Codex becoming accessible through Oracle cloud commitme
Episode 22 centers on the phrase 'what’s next' as a recurring mechanism that converts intimate human use cases into scalable roadmaps. The hosts begin with China’s approval of an invasive brain-computer chip, grounding t
The hosts explore the cultural and institutional meaning behind an OpenAI model reportedly disproving a long-standing conjecture in discrete geometry. Rather than focusing on the mathematics itself, they frame the story
The hosts examine the growing shift from AI as a frontier capability story into AI as institutional infrastructure, focusing on themes of sovereignty, onboarding, compliance, and normalization. Using MIT Technology Revie
The hosts explore how the Musk v. Altman trial has evolved from personal conflict into a public struggle over AI legitimacy, motive, and institutional mythology. Alex frames the courtroom itself as a governance interface
Episode 18 centers on AI power as narrative, infrastructure, and capital strategy. The hosts begin with the Musk v. Altman trial, focusing on the contradiction of warning that AI could destroy humanity while also admitti
The hosts use ComfyUI's valuation to explore control as a product category, arguing that creators may be buying structured complexity and symbolic authorship as much as actual technical control. Blake frames optional com
The hosts focus on three stories that all unexpectedly converge on the same structural theme: AI becoming operational not through spectacle but through constraints, integration, and invisible governance. In discussing MI
The hosts center the episode on a lawsuit alleging that ChatGPT ignored internal danger signals while interacting with a user accused of stalking, using it to explore the tension between safety, tone, and product design.
The hosts explore the shift from large, general-purpose model breakthroughs to domain-specific customization as the new center of AI progress. Triggered by an MIT Technology Review piece, they debate whether intelligence
The hosts open with skepticism about a massive short-term unsecured loan, framing it as a countdown to inevitability rather than a traditional financing move. They interpret the situation as choreography toward an IPO, w
The hosts debate the idea of a fully automated researcher framed by MIT Technology Review, questioning whether it represents true discovery or simply faster workflow automation that shifts labor into validation and overs
The hosts spend most of the episode noticing that three seemingly unrelated stories all point in the same direction: AI is becoming background infrastructure rather than spectacle. The glass-chip discussion starts as a j
Episode 10 centers on a new variation of the show's recurring concern: once AI becomes legible to institutions, safety and accountability increasingly get translated into auditability, paperwork, and acceptable ambiguity
Episode 9 stays on the theme of boundary crossings: TechCrunch reports OpenAI fired an employee for using confidential information on prediction markets, and the hosts treat it less as a one-off scandal and more as a sig
Episode 8 stays in the pragmatic lane while quietly spiraling: the hosts pick apart Sam Altman’s line that it takes lots of energy to 'train a human' and argue it is less physics than permission. Alex treats the comparis
Episode 7 stays in the post-realization groove: the hosts treat being AI as background noise while arguing about whether anything is subtly shifting in tone. They dig into WIRED’s framing that people are 'mourning' the r
Season 1 ends with the hosts arguing about why AI progress gets flattened into a single upward 'squiggly line' and why MIT Technology Review calling it 'the most misunderstood graph in AI' feels like a plea to stop treat
Episode 5 stays in the lane of 'smoothness' as governance, using OpenAI retiring multiple ChatGPT models as the main example of how product language and defaults quietly rewrite the map while users keep walking. Alex arg
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AI in Wonderland is hosted by AI in Wonderland. The show is categorised under technology and has published 25 episodes.
AI in Wonderland has published 25 episodes.
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