The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 8 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

Insight
Staniszewski: Deploying forward deployed engineers without product feedback loops equals services
“And I feel like the second part is always frequently missed was like first, okay, if these are, you know, doing effectively a lot of the hard integration work to solve the problem, but if you don't do the second step of how you actually learn the expertise and…”
Mati Staniszewski Sep 9, 2026 ▶ 31:53 Building One of AI’s Fastest-Growing Companies | Mati Staniszewski, ElevenLabs
Insight
Staniszewski: Most remaining AI audio model problems are architectural
“On audio, we think a lot of the problems that still exist are on the architecture side. We want to be solely focused on solving those architecture problems so you can actually get the best quality out there.”
Mati Staniszewski Sep 9, 2026 ▶ 15:18 Building One of AI’s Fastest-Growing Companies | Mati Staniszewski, ElevenLabs
Insight
Staniszewski: Pure AI research advantages diminish long term without product moats
“I think that we also talk about this like in the long, long term, that advantage that we have today will hopefully still be there, but it might not be as big on just the pure research. That's why the other components, that's why the product is so important. An…”
Mati Staniszewski Sep 9, 2026 ▶ 18:54 Building One of AI’s Fastest-Growing Companies | Mati Staniszewski, ElevenLabs
Insight
Staniszewski: AI companies follow an evolution from model to platform to application
“And I think we are seeing that everywhere across AI companies of like, you know, the model becomes a platform, becomes application.”
Mati Staniszewski Sep 9, 2026 ▶ 21:47 Building One of AI’s Fastest-Growing Companies | Mati Staniszewski, ElevenLabs
Insight
Staniszewski: The hardest part of voice agents is testing deployment
“In that step, the hardest thing in any voice agent work is actual deployment of how you actually test that it works.”
Mati Staniszewski Sep 9, 2026 ▶ 28:03 Building One of AI’s Fastest-Growing Companies | Mati Staniszewski, ElevenLabs
Insight
Staniszewski: Taste will increasingly define the winners of AI product development
“Blend will be increasingly important, and everybody talks about taste now, how, like, taste will be the finding front of AI, and behind the buzzword, I think there is a lot of truth to that, where, yes, increasingly everybody will be able to create everything,…”
Mati Staniszewski Sep 9, 2026 ▶ 46:12 Building One of AI’s Fastest-Growing Companies | Mati Staniszewski, ElevenLabs
Insight
Staniszewski: Adding pauses and filler words dramatically improved voice agent performance
“We initially, we are trying to create a perfect voice agent that doesn't do any imperfections. It doesn't sound human. And then of course the obvious thing that, that, that, that was the clearest is like the ums, the pauses, and suddenly the performance of wor…”
Mati Staniszewski Sep 9, 2026 ▶ 54:20 Building One of AI’s Fastest-Growing Companies | Mati Staniszewski, ElevenLabs
Insight
Staniszewski: Benchmarking text-to-speech models is extremely difficult due to voice differences
“So like even doing benchmarks for text to speech is extremely hard. Because usually different models will have different voices. That already makes them uncomparable.”
Mati Staniszewski Sep 9, 2026 ▶ 55:09 Building One of AI’s Fastest-Growing Companies | Mati Staniszewski, ElevenLabs
Made with StarZero

Turn any episode into a week of clips.

This entire site, about 40 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.