Karan Goel
Co-founder & CEO, Cartesia · 1 appearance on the record.
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Karan Goel is the CEO of Cartesia, an AI model lab focused on real-time multimodal voice intelligence. During his PhD research at the Stanford AI Lab, he co-developed influential State Space Model sequence-modeling architectures, including S4 and SaShiMi.
24statements → 6claims → 2claims resolved → 3.71/5average certainty → 2.08/5average debate potential → ≈4.0/5argument clarity, estimated →
2 supported 0 partly supported 0 contradicted 4 not checkable as stated how the 6 claims stand · each chip opens the sources
3 predictions · 3 assertions · 3 opinions · 11 insights · 4 disclosures · every statement was checked. The predictions and assertions are the 6 claims: statements the public record can support or contradict. 2 are resolved, and 4 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.
The record, in short
What the tape says about how Karan argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.
Their most notable supported claim
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We measure speaking style by listening to the audio itself, and a fair number needs at least 2,000 words from one person on tape we have measured. There is too little of Karan Goel on measured tape to publish a rate. This says nothing about how they speak.
Everything Karan Goel said on the Neon Show that made the record, most notable first. Filter by type, assessment or year in the ledger →
Goel: Multimodal AI Models Degrade in Intelligence Versus Text-Only Models
“They tend to degrade in terms of their intelligence when you try to build models that can do multimodal reasoning. Like text only models tend to be pretty smart, but when you do multimodal, they tend to get a little bit less smart.”
Goel: Open Offices Will Disappear as Workers Constantly Talk to AI
“Imagine a workplace of the future where actually the way you work is you constantly have this collaborator and you actually redesign the workplace to Help people be able to work alongside the AI collaborator. So you can't have open office spaces anymore, becau…”
Goel: Single Multimodal Models Will Dominate Low-Latency Interactive AI
“Again, it was clear that the future is going to be single, single models that are multimodal can process multiple streams of data. Can basically do reasoning over that and operate at pretty low latencies.”
Goel: Best Interactive AI Models Require New Architectures
“And we believe that to build them, you need to build them on new architectures.”
Goel: Current Voice Agents Fake Long Conversations Through Engineered Short Turns
“Today when you build a voice agent, it is actually not running a 30 minute conversation, truly. It is actually running a series of 10:02 conversations, because it is basically splitting the 30 minutes into small turns, And then every turn is treated as one thi…”
Goel: AI labs build apps out of capability excitement, not competition
“I don't think it comes from a place of trying to compete. I think a lot of times the stories around how these products got built is that people inside were amazed by what it was able to do. They built a prototype, and the prototype just happened to be somethin…”
Goel: Information Asymmetry Gives AI Labs an Unavoidable Application Head Start
“I think the thing that, that is hard is the information asymmetry that exists, which is that model developers see where the future is before the application developers do. So that asymmetry is impossible to sort of, like, actually remove.”
Goel: AI research labs and product companies are not mutually exclusive
“This is something that a lot of people think is mutually exclusive, right? People think either you can be a research lab or you're a product company. Yeah. We, I think what we did was we said, no, no, no, that's not, we don't think those two things are not pos…”
Goel: Always-On Synchronous AI Will Become a Primary Future Interface
“We think that AI that's always on, always running, that's able to communicate synchronously with you, is going to be one of the future interfaces for how you consume intelligence.”
Goel: Building Multimodal Models Lacks Any Established Recipe or Published Papers
“In a lot of these new areas, like multimodal models, like, there's no, Known recipe, right? Like you can't just go, go to the internet and say like, hey, this is how we're going to build the model. Here's, you know, here's the recipe we can follow. Here's a pa…”
Goel: Model Evaluation Is Undervalued; Audio AI Benchmarks Remain Inadequate
“The most undervalued part of this is evaluating your models. Because, like, I think, especially in things like audio. Yeah. There, when we started the benchmarks were pretty non-existent. Even today, I would say the benchmarks are not great.”
Goel: Building Pareto-dominant AI models requires full-stack co-design
“The only way you can build models like that is you have to go basically co-design everything. Otherwise you're going to sacrifice something for something else.”
Goel: Cartesia Built Custom Inference Engine for Real-Time Models
“So as an example, we've built our own inference engine. It's pretty important because we think that these interactive real-time models are going to need to run in a pretty different way. So having the ability to have your own engine that is not designed for LL…”
Goel: Cartesia Will Unify Listening, Thinking, and Responding Into One Model
“So ultimately our ambition is, again, how do we bring together listening, thinking, and response into a single model and just do that continuously. And that's the next phase.”
Goel: AI agents make high-touch customer experiences economically feasible
“I actually think that's the kind of thing that's super exciting, which is that it opens up the opportunity to provide an experience that was otherwise infeasible.”
Goel: Changing Voice Acoustic Profiles Drives Enormous Shifts in Business Metrics
“How do metrics shift because you changed how a voice sounds? It has enormous impact in use cases and different use cases need different experiences, right? If you're doing a nursing use case versus you're doing a banking use case versus you're actually doing a…”
Goel: Multi-Second AI Chat Delays Are a Feature to Signal Thinking
“When you're chatting to AI, if it responds too quickly, it actually feels like it hasn't done any thinking at all. So, it is actually not a, it's a feature, not a bug, that it can take a few seconds to respond to you.”
Goel: Minimizing latency without sacrificing intelligence is voice AI's biggest challenge
“A lot of what we see when people are building these systems is that they're struggling to understand how to bring latency down while keeping the overall intelligence of the system as high as possible. That is the biggest challenge a lot of these folks face.”
Goel: Cartesia's Enterprise Clients Are Approaching One Billion Audio Minutes Annually
“We're seeing customers that are starting to go towards pretty insane volumes now on our, on top of us, like anywhere To like order one billion minutes, right? Getting to that scale a year for one customer.”
Goel: Cartesia Focuses Strictly on Real-Time Voice Over Other Audio Use Cases
“For us, the mission was always about building interactive AI and closing the gap between AI and humans in terms of how smart and how interactive these models are. So we are always super focused on real time interaction. And that means also, for example, we nev…”
Goel: Incremental Academic Papers Felt Less Valuable Than Practical Commercialization
“Eventually I think what we realized is we made enough progress where it didn't feel as valuable to do the N plus one-eth academic paper. And it actually felt a lot more important to try to figure out how to use the technology work that we've done, and obviousl…”
Goel: Cartesia Founders Entered Voice AI Without Speech Research Expertise
“I had done one project in speech in my PhD, and that was for three months. So we didn't, we weren't experts in speech, but we knew a lot about sequence modeling. We'd spent a lot of time in, in the deep learning side.”
Goel: Voice AI market scale hinges on interaction minutes and per-minute value
“I think there's two variables that matter for those companies. One is how many minutes of interaction are you driving? The other is what is the value of every minute? Because in different applications, every minute has different value.”
Appearances (1)
| Episode | Date | Speaking time |
|---|---|---|
| The Billion Dollar AI Lab Founder Who Sees The Future First | Karan Goel, Founder & CEO of | Aug 7, 2026 | 44m |