Cheeky Pint / episode intelligence
Speakers in the public record
Claim mix
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
26 published records
01 / belief
“The main thing that's in that ownership part that I think works well for the AI world is agency.”
02 / belief
“I think people have an intuition around big LLMs where there are these very expensive training runs, and yes, they depreciate quickly, but there's so much usage that all of the models trained to date have paid off their training runs and then some.”
03 / belief
“In emotionality, we think you can deliver both on both sides extremely well, and maybe you can make it more controllable, too.”
04 / belief
“There's the other angle of that where I think people are striving to be incredible in their craft and their work, but at the same time have fun in a lot their work.”
05 / observation
“Then you can have all the way to the marketing use cases where we are your partner for working even outside of the conversational agent space of how you create a great marketing campaign.”
06 / belief
“Then I think over 2025, the big piece that hasn't been possible is how you connect now the real-time voice interaction with something which I think you're referring to.”
07 / belief
“I think the leading ones, yes, but of course, you have the variations that you will use at lower scale.”
08 / observation
“We did that use case, and now we have a few different companies building their SDR versions of that, too, to help them capture the leads coming in from banks all the way to actually one of the automotive companies that leaves that where people are just more keen to speak through voice.”
09 / belief
“There's definitely a piece of… I think the technology in many of those cases already, there's a deployment gap to what you are saying.”
10 / belief
“There's deployment, of course, gap, of how you bring that into the gaps. But I think the next two years, three years.”
11 / belief
“We think we can roll it out in one of the next versions, which is hopefully in the next month.”
12 / belief
“To that extent, I would say that that's just getting there. We'll hopefully see that.”
13 / commitment
“We will have a person in ops or in talent that will… We have effectively a tech lead for that team that helps them automate a lot of that work and helps up-level the rest of the team, too.”
14 / belief
“I think we've mostly moved away from just raw parameter count, but I think the leading edge LLMs are in the hundreds of billions of parameters.”
15 / belief
“I think largely that technology powers a lot of their agentic interactions just became reliable at the same time as high quality over the last year, year and a half.”
16 / commitment
“The places where we know we will be able to provide the biggest value is where, ultimately, today you will have either a big portion or most of the interactions coming for voice.”
17 / preference
“I don't know how big self-serve is, but as a user, I like to be able to fiddle with ElevenLabs and not have to go talk to sales.”
18 / preference
“Maybe you want to have a subscription with some unlimited tiers, but I don't know if you had the experience of you're using Claude, and you're typing away your queries, and eventually you hit some rate limit, and it's like, "Sorry, you've hit your usage limit," and you want to be able to do the thing that you can do with Claude Code, which is just pay per API.”
19 / commitment
“We created a voice agent that people can speak with and see what's the culture, but also get prepped for the interviews.”
20 / preference
“Then on Gemini and ChatGPT and those apps, I want to use the voice mode, but I don't know about you, it just doesn't work.”
21 / preference
“If you have a lot of domain specificity, that's where I see a lot of the application companies forming over time, where that's specifically not the spaces we will go into.”
22 / commitment
“We would invest a lot internally on effectively creating our own data labellers, our own team, to be able to create those data sets that will be better.”
23 / prediction
“In speech-to-speech, as you think about maybe more of a companion version of the applications, that's where that will flourish because maybe the hallucinations aren't as important, but the latency is a little bit more, and maybe hallucinations are even a feature.”
24 / commitment
“Then there's added benefit of we work with healthcare customers where we will create a custom model for those customers where we'll get that transcription perfectly.”
25 / evaluation
“It's one thing with SaaS where you get these vertical-specific providers, but I would imagine one of the biggest risks for you guys in being intermediated is if there is, like in this example, a closed captioning service that is on a two-versions-old version of ElevenLabs and hasn't upgraded. That's a problem because you want people to be using the latest and greatest model that you've developed, and you'll be deploying new capabilities every week.”
26 / evaluation
“We love what they are doing because they are showing us the future and effectively helping us find a trajectory of where ElevenLabs should go.”