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ElevenLabs’ Mati Staniszewski: How Voice Becomes the Interface for Everything

Training Data · 2026-05-09

Speaker 1 | 00:02 - 00:21
So I love line charts and bar graphs as much as the next guy, probably more. The story of eleven Labs is also interesting from a human perspective, because you started a company with a childhood friend. So maybe take us back to 2022 or earlier and just tell the the human side of the eleven Labs story to start.

Speaker 2 | 00:22 - 00:46
The I have the I have the most luck in the story of eleven Labs because well, it started in 2022. It feels like it started seventeen years ago when I met my my cofounder, Piotr. All the names in Polish are complicated, luckily, for for…

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🐦 X/Twitter 热点

Swyx (@swyx)

  • @VivianBala we will finally show the world how it is done. [8 ❤️]
  • OK I’VE BEEN SO EXCITED i could barely keep this a secret all week and it’s finally official

MY HOME COUNTRY’S MINISTER OF FOREIGN AFFAIRS (equiv to Secretary of State) IS A HUGE NANOCLAW FAN (check @VivianBala, that’s really him, not an intern) AND WILL BE KEYNOTING @AIDOTENGINEER SINGAPORE (with NanoClaw creator @Gavriel_Cohen right after) NEXT WEEK

Usecases like his are what I have been hoping to promote with the international AIE partnerships and @agrimsingh and @SherryYanJiang crushed it with this one.

governments waking up to AI and joining @aiDotEngineer:

UK: Chief AI Officer
Singapore: Cabinet Minister

who’s next?? [47 ❤️ 3 🔄]

  • wondering if @embirico has numbers on what % of codex users use this mode and how much it has gone up over the last month

its a decent proxy for alignment/agent adoption [10 ❤️]

Kevin Weil (@kevinweil)

  • This a matter of extreme importance (and some of the best writing ever) [56 ❤️ 2 🔄]

Peter Yang (@petergyang)

  • Here’s a common trap with AI if you’re not careful:

  1. You ask it to generate some markdown files (maybe to build some skills). You skim them and they look ok. Sure, there’s a bit of slop in there, but you’re too lazy to edit them manually.

  2. Over time you ask it to generate more markdown files. Except now it’s referencing the previous files to write the new ones.

  3. What started as 5% slop becomes 10% and then more. Before you know it, you’ve got a pile of AI-generated slop that feels overwhelming and have no idea how any of it actually works.

🥲 [229 ❤️ 3 🔄]

  • With agents generating md and html files anyone else find themselves too lazy to edit the files manually?

All the agent generated files seem good but then always have at least 10% slop in there. [58 ❤️]

  • Sometimes when I message Claude Code it just hangs for 3 minutes and I have no idea whether it’s still working or not. Wish it communicated more. [961 ❤️ 5 🔄]

Guillermo Rauch (@rauchg)

  • 🌞 [657 ❤️ 4 🔄]

Aaron Levie (@levie)

  • For everything we’ve seen about agents so far, it’s clear that they will make it far easier for people to get into previously extremely complicated fields. That will most certainly mean far more people will build software, explore creative work, research spaces they couldn’t do before, and so on.

Yet, equally, we’ve seen that people with experience in every one of those fields have a huge edge with the right judgment and historical context to leverage these tools in ways that exceed the output of the novices (if they choose to). They know when the agents are making catastrophic mistakes, can give the agents the right context to do the job better than they otherwise would have, and so on.

The combination of these two facts essentially means that we will continue to get the same lift as we’ve seen in any other technological revolution. More democratization, but similarly greater output from the experts. This then makes the experts continue to be in higher demand because over time our expectation for what we can get out of any field will just go up.

This is going to be true in essentially every important field. You’ll trust a lawyer using an agent for legal advice over someone who’s never had to experience how well a contract holds up. You’ll trust an engineer developing and running software over someone who’s never seen a production system. You’ll rely on the important instincts of a designer using agents over the average prompter.

The quality and volume of output we expect from these functions will certainly go up meaningfully, but the person with experience will always have a leg up, which is why the jobs don’t go away. [321 ❤️ 41 🔄]

Garry Tan (@garrytan)

  • I like how excited Neuromancer (my Hermes Agent) that it was cited in the GBrain changelog.

Some real fan energy from the agents. I like it. [24 ❤️ 1 🔄]

  • GBrain v0.31.1 just shipped real MCP thin client support. So basically you can run ONE “home GBrain server” and everything else can just connect to it via MCP and it’ll work pretty close to as well as running it locally.

GBrain just went client-server. [256 ❤️ 16 🔄]

  • The fun trick is to have your clankers make diagrams in ASCII of everything and just ask questions until you get it [213 ❤️ 17 🔄]

Zara Zhang (@zarazhangrui)

  • HTML is important because humans are visual animals

As the founder of Duolingo once said, one of his biggest lessons after spending years building consumer products is: “People don’t read”

In the past, we optimized our output format for human manipulation (eg. pushing pixels in powerpoint)

When AI will handle the manipulation, the output format should be optimized for human CONSUMPTION instead

Turns out humans like to consume beautiful, interactive artifacts [104 ❤️]

Nikunj Kothari (@nikunj)

  • Every founder I meet: man, the bar is so low to be a good VC. Just do what you say, and you’re already top decile.

Every VC I meet: dude, the bar is so low to be a good VC. Just do what you say, and you’re already top decile.

Something has to give 😂 [92 ❤️]

  • If you are always annoyed at models estimating work as if a human is doing it instead of just crushing the work, add this to your custom instructions..

“When estimating or planning, assume you (the model) are executing the work yourself. Report timelines in model-execution units (seconds, minutes, tool calls, iterations), not human days or headcount. Separate the work into (a) the model-executable portion you will do and (b) human prerequisites or follow-ups such as API signups, credentials, hosting, deploys, or anything requiring accounts or physical action you cannot access. Estimate only your portion and flag human parts explicitly. Mark any human step that blocks model work as a gating step, not just a parallel task. If a task is entirely human-required, say so instead of inventing a model plan. If the model portion is short enough to complete in this conversation, offer to start now rather than only planning”. [56 ❤️ 3 🔄]

Peter Steinberger (@steipete)

  • Did teach codex to look for social signals when reviewing PRs. [76 ❤️ 2 🔄]
  • Crabbox now has great Windows terminal handling.

So good that codex could E2E fix gifgrep to render animated gifs in the terminal. Just because it can. [102 ❤️ 5 🔄]

  • Latest spogo (Spotify cli) is much faster, codex is my dj now.

If you wanna play YouTube to Sonos, check out [154 ❤️ 14 🔄]

Dan Shipper (@danshipper)

  • “We got a tool to perform poorly” is the lowest form of science and journalism imo and is only relevant when the tool is, in fact, extremely useful [11 ❤️]
  • Knives Can Blind You When You Stick Them in Your Eye
    submitted 17 Apr 2026 [82 ❤️ 8 🔄]
  • mythos obviously looks incredibly capable and im psyched to use it

also if you’re panicking about it:

benchmarks don’t measure model capability alone

they measure model capability after a human has done the work of finding a prompt that lets the model’s capability appear

that work is non-trivial, and requires skilled expert humans doing something that looks very much like a job [54 ❤️ 3 🔄]

Sam Altman (@sama)

  • autistic genius intelligence [2482 ❤️ 210 🔄]
  • 5.5 is an autistic genius with very strange taste in naming

shocking that we would make such a thing [6188 ❤️ 243 🔄]

  • kicking off a bunch of codex tasks, running around with my kid in the sunshine, and then coming back at naptime to find them all completed makes me very optimistic for the future [5807 ❤️ 178 🔄]

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由 Follow Builders 自动生成 · 2026-05-10