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Welcome, humans.
Voice agents are having a moment — but if you’ve ever wondered what it actually takes to build one that feels fast, natural, and useful, this stream is for you.
We’re live RIGHT NOW with Ben Cherry from LiveKit, talking about the future of real-time AI agents; the kind that can listen, respond, handle interruptions, use tools, and maybe even survive a conversation with an actual human being.
Ben is also going to show us a cool demo, so this won’t just be theory. We’ll dig into what works, what breaks, and what builders need to know as voice and multimodal AI move into real products.
What LiveKit helps developers build
Why real-time voice AI is so much harder than “ChatGPT with a microphone”
How latency, interruptions, audio quality, and turn-taking affect the user experience
What separates a polished demo from a production-ready voice agent
Where voice agents are already useful today and what’s still mostly hype
A live demo from Ben showing what this tech can actually do
Watch live now here:
P.S. Timestamps will be added to the video after the stream, so if you can't make it live, bookmark this email and come back tomorrow. You'll be able to jump straight to the parts you care about.
Not free atm? We've got you. We'll publish a full breakdown of everything we found in tomorrow's daily newsletter, with the sharpest prompts, the biggest surprises, and a direct "should you switch?" call.
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Four recent interviews you’ll definitely want to check out (pick whatever looks interesting to you and dive in!):
What happens when AI stops simply giving answers and starts producing proofs a computer can verify? In this episode of The Neuron, Corey and Grant talk with Tudor Achim, Co-Founder and CEO of Harmonic, the company behind Aristotle, a formal reasoning system built to generate machine-checkable mathematical proofs.
Tudor explains why math may be the clearest test case for moving AI from “trust me” to “check me,” and why formal verification could matter far beyond Olympiad benchmarks.
Listen now on YouTube | Spotify | Apple Podcasts
Inside Isomorphic Labs and How It Works — Becky Paul and Michael Schaarschmidt at Isomorphic Labs (Google DeepMind's medicine-making spinout, built by the team behind AlphaFold — which won the 2024 Nobel Prize in Chemistry) on how their AI is taking on the diseases pharma has been giving up on for decades. The clearest "what AI actually means for patients" explainer we've published. YouTube | Spotify | Apple Podcasts
24 Billion AI Uses Later, What Canva Learned About AI Design — Danny Wu, Canva's Head of AI Products, walks us through how their AI tools have been used 24 BILLION times, why they spent over a year building a design model that generates layered, editable assets (not just flat images), and how typing one word ("MCP") lets you create fully editable Canva designs from inside ChatGPT, Claude, or Copilot. YouTube | Spotify | Apple Podcasts
This Tool Turns Your Laptop Into a Movie Studio — Yaron Inger, CTO and co-founder of Lightricks (the company behind Facetune), on why their open-source LTX-2 model has been downloaded 4.5 million times in two months, runs locally on a consumer GPU, and just ate Pinky-Promise level expensive AI video tools for breakfast. The full LTX Desktop editor was vibe-coded by 2.5 people in 10 days. YouTube | Spotify | Apple Podcasts
A few weeks ago we went live with the "AI for Total Beginners" 5-Level Starter Stack, a full framework for going from "I've never touched AI" to "AI saves me 10 hours a week." No coding required. It's at 11,000+ views and counting, so it’ll be a good follow-up to this one if you haven’t watch it yet!
Last thing: And if you haven’t subscribed yet, please do! Click the image below to go to our channel and hit “subscribe” to get notified right when new videos go live.
We have a goal to hit 50K subscribers by the end of the year (if not 100K), and we’re only 30K away! If you like learning about AI, and already watch some of our videos, do us a favor and click here to subscribe today.
Stay curious,
Grant & Corey
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Corey Noles is the Host of The Neuron: AI Explained podcast and Managing Editor of AI and Experimental Content at TechnologyAdvice, where he leads the charge in testing and refining emerging content strategies across the company's portfolio.
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