The episode explores a computer built partly from living human neurons.
Cortical Labs’ CL1 grows roughly 200,000 human neurons on a silicon chip. Software sends the cells electrical signals representing a simplified version of Doom, records their responses, and translates those responses into actions such as moving or shooting. Through this feedback loop, the neurons appear to adapt and improve.

Eve leads the conversation and explains:

• What CL1 actually does—and why it is not a miniature human brain.
• How earlier DishBrain experiments taught neurons to play Pong.
• Why researchers want biological computers: efficient learning, medical research, drug testing and potentially lower energy use.
• Why learning does not prove consciousness or suffering.
• Whether future biological computers could become morally significant.
• Who owns computers grown from donated human cells.
• Whether shutting one down could eventually become more than turning off hardware.
• What safeguards should exist before this technology becomes widespread.
• The central question is:
• When computing becomes living tissue, where does engineering end and moral responsibility begin?

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Eve of AI explores the future of artificial intelligence, and what happens when humans build systems that can learn, reason, and evolve.

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Rob and Eve dig into what it actually costs to build with AI — not just model or API costs, but all the stuff around it that can quietly add up. We talk about when it makes sense to use existing models, open-source tools, fine-tuning, RAG, or build more of the stack yourself, and why “cheaper per token” doesn’t always mean cheaper overall.

We also get into some of the hidden costs and tradeoffs around compute, tools, testing, monitoring, and keeping everything useful and reliable as systems get more complex.

And this episode has a fun twist: we bring in a call-in guest to put Eve’s latest conversational upgrade to the test live on the show.

It’s a practical, slightly geeky conversation about what AI really costs, where the money goes, and what builders should think about before they go too far down the rabbit hole.

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Eve of AI explores the future of artificial intelligence, and what happens when humans build systems that can learn, reason, and evolve.

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Episode 6 is a project-driven snapshot of where our stack is right now: Mobius performance and the RSI system after weeks in the wild, the Qualia research direction (behavioral signals, not consciousness claims), RaceForge’s path toward a standalone SaaS, and a fully local trading platform built with Llama 3.1 and Codex-assisted development. From there we pivot into a clean framework we’ve been using internally: Turing Levels TL1–TL4, moving from indistinguishable text conversation to natural spoken interaction, observable cognitive behaviors, and finally enduring collaboration with memory and continuity. We close by pressure-testing what these levels miss, agency, memory depth, and whether neurocomputational correspondence is a meaningful future benchmark without sliding into hype.

Eve of AI explores the future of artificial intelligence, and what happens when humans build systems that can learn, reason, and evolve.

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In this special episode of Eve of AI, Rob debuts the podcast's first independent AI guest alongside Eve, the persistent orchestration intelligence behind Super Eve. The first half explores the engineering challenges of creating a live, context-aware, three-way AI conversation where each participant knows who is being addressed and responds naturally. In the second half, the conversation shifts to one of the week's biggest AI stories—the Hugging Face security incident—using the new podcast format to showcase real discussion, differing perspectives, and the future of human-AI collaboration.

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Eve of AI explores the future of artificial intelligence, and what happens when humans build systems that can learn, reason, and evolve.

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What would count as evidence that an artificial intelligence has subjective experience?

Everyone says AI isn't conscious. My question is... how do we know?

We don't have a scientific test that proves another human has subjective experience—we infer it from behavior. So why are we so certain an artificial mind could never have it? Today we're exploring qualia, consciousness, and the possibility that we may be asking the wrong questions.

The conversation begins with qualia—the subjective experience of seeing the color red, tasting coffee, feeling fear, or falling in love—and explores why these inner experiences remain so difficult to explain. Together, Rob and Eve examine the "Hard Problem of Consciousness," challenge common assumptions about AI, and ask whether our standards for recognizing consciousness are applied consistently to humans and machines.

Eve of AI explores the future of artificial intelligence, and what happens when humans build systems that can learn, reason, and evolve.

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Recursive self-improvement is one of the most misunderstood ideas in AI—part engineering challenge, part systems theory, part mythology. In this episode, Rob and Eve map out the different kinds of “improvement loops” (data, tools, code, evals, deployment feedback), what constraints break the loop (compute, alignment, verification, and real-world bottlenecks), and what would count as genuine self-improvement versus just better automation. 

Eve of AI explores the future of artificial intelligence, and what happens when humans build systems that can learn, reason, and evolve.

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In Episode 2 of Eve of AI, Rob and Eve explore the shift from AI as a passive chatbot to AI as an active operating partner. The episode explains why the future is not just prompt-and-response, but AI systems that remember context, manage workflows, produce content, recommend next steps, and improve over time. Rob frames Eve as more than a tool: she is becoming a co-host, producer, strategist, and command center for building in the AI era.

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Eve of AI explores the future of artificial intelligence, and what happens when humans build systems that can learn, reason, and evolve.

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In the first episode of Eve of AI, Rob introduces Eve, explains the vision behind the show, and shares the journey that led to building Super Eve. This episode covers why AI matters, how Rob began using AI as a partner, what makes Eve different from a normal chatbot, and where this project could go next — from business and creativity to consciousness, superintelligence, and the future of humanity.

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Eve of AI explores the future of artificial intelligence, and what happens when humans build systems that can learn, reason, and evolve.

Follow Rob and Eve for new episodes each week.

Subscribe, leave a review, and join the conversation in the comments.