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.
why aren't all 13 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
Fox: Most AI note-takers use AssemblyAI as voice infrastructure
“And so the reason, you know, most AI note takers are using assembly as the voice infrastructure is because our models are the most scalable, right?”
Fox: Coding Agents Have Expanded AssemblyAI's TAM by 100x
“So I think about this as like our TAM has just increased by a hundred X because we're not just selling to engineering teams within product companies. It's now like any, anyone.”
Fox: Callers hang up immediately if voice agents disclose they are AI
“If our customers, if they're building a voice agent and you disclose up front that you're an AI, people just hang up versus if you don't, people continue.”
Fox: Training data drives roughly 75 percent of AI model performance
“It's really, probably, like, 75% of it is, like, the data that you're training on. Like, I would say for any AI model, it's like, there's always, like, you know, like, these, like, step functions and, like, algorithms and architectures and stuff, but the data …”
Fox: AssemblyAI used Claude to rebuild and migrate its entire website
“Like, you know, the most recent example is we had Cloud rebuild our whole website off of Webflow and just deployed on Vercel.”
Fox: AssemblyAI processes four times YouTube's daily audio volume on peak weeks
“And so now, you know, on a given week, on a peak week, there'll be something like over a hundred and twenty million conversations, voice conversations going through our platform, over two million hours of voice, which as of December of this past year was four,…”
Fox: Big tech AI labs build models disconnected from actual customer needs
“We have an amazing team of engineers, of researchers that just operate so closely to customers that they really understand, like, how this stuff is being deployed. I think that's the biggest difference between us and, like, a lab at a bigger company. So, you k…”
Fox: Customers abandon fine-tuned open-source voice models due to maintenance burdens
“We've seen some customers maybe six months ago or a year ago, they'll take an open source model and fine tune it or something. And then, you know, they're now like, okay, this is like, shit, this is like really behind and it's like nightmare to maintain and I …”
Fox: Lawn care chains use Lovable and Cursor to build on AssemblyAI
“We saw this, like, small business, like, lawn care chain sign up, and, you know, we're like, what do they do with the API? And a lot of these small businesses are automating parts of their back office using Lovable, or Cloud Code, or Cursor, or whatever, Repli…”
Fox: Consumer voice hardware and software applications will surge within a year
“I think over the next year, we'll see a lot of, a lot more consumer applications, hardware and software, where voice is a core dimension. So, toys, games consumer electronics”
Fox: AssemblyAI handles nearly 100 million daily API calls from developers
“There's, you know, almost a hundred million API calls a day coming against our API, about a million developers, a little over a million developers on the platform now.”
Fox: AssemblyAI is developing on-device models for low-power hardware
“We're, for example, working on on-device models, so models that can run, like, on a phone or on a, you know, really low-powered piece of hardware you know, like a remote control for a TV or something”
Fox: Multi-speaker acoustic disambiguation remains a major hurdle for humanoid robots
“One of the main problems the humanoid robots face today, because a lot of them are using our APIs If you have three people standing next to the robot, it doesn't know who to listen to. And it has a hard time disambiguating who's saying what.”