Jonathan Miz

Now live on Vapi: GPT-5, GPT-5-Mini, GPT-5-Nano, and GPT-OSS Major releases from OpenAI this week - all available on Vapi within 1 hour of launch. → GPT-5, GPT-5-Mini, GPT-5-Nano accessible via Vapi Dashboard and API → GPT-OSS released under Apache 2.0 Read more: https://vapi.sh/ZHhWdq2

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Mark Backman and Aleix Conchillo Flaqué do a huge amount of the heavy lifting on the Pipecat framework: architecture, optimization, new features, bug fixes, PR reviews. Apparently they've decided to hang all that up and become TV stars. Join them for the first episode of Pipecat TV. "Like MTV, except for Voice AI and more boring," as Aleix says in the intro. This episode they cover new things in recent Pipecat releases, and Mark talks about voicemail detection and IVR phone tree navigation. Full episode: https://lnkd.in/g9EN97Qx

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Last week we hosted a fireside chat with Thariq Shihipar, DevRel at Anthropic, on his journey from building a gaming startup to shaping Claude Code. A few insights from the evening: "The best engineers aren't getting replaced by AI, they're unblocked. Bugs that used to take half a day now vanish, and they can run three projects at once." "Good docs for humans = good docs for AI. If the content isn't there or it's outdated, no amount of formatting optimizations will save your GEO." "To build community, you just have to get over being cringe. Talk to users, even if it's just two people in a Discord. That's how it starts." Conversations like these remind me how quickly developer experience is evolving, but so much of it still comes down to fundamentals.

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When machines learned to talk, everything changed. Not because of the technology itself, but because the last barrier between analysis and action disappeared. HappyRobot just announced a $44M Series B led by Base10 Partners. This isn't just a funding round. It's a declaration about what becomes possible when automation goes from partial to total. No more waiting for a human to call the supplier in Shenzhen or handle the angry customer in Dallas. Systems no longer suggest what needs to be done—they do it. Voice was the trigger that enabled total automation across every channel, turning suggestion boxes into engines of pure execution. But the real revolution is compound intelligence. When one AI worker discovers what works, every instance learns instantly. Your logistics AI masters your exact routes. Your negotiation AI learns your suppliers' psychology. These aren't generic models anymore, they're extensions of your business that can't be replicated. The winners aren't waiting for better technology, they're building their future now. Every day of compound learning, every customer interaction, every optimization becomes irreplaceable advantage. By the time others start, you'll have months of evolution they can never catch. The gap isn't growing. It's exponentiating. Read our full manifesto: https://lnkd.in/emb8qeXh Thank you to our incredible team, our visionary investors, and our customers who believe in a new form of economic life.

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I’m excited to share a breakthrough we’ve been working toward: Hyperspace V2.0 is ready - delivering a step-function leap in AI search performance, where retrieval finally runs at the speed of thought: 10× faster, 7.5× more concurrent, and 6× more cost efficient. 🚀 When we started Hyperspace 3.5 years ago, we knew that search performance was approaching its computational limits. What we didn’t know was that search would become the new bottleneck in AI. Every LLM, every RAG pipeline, every AI agent depends on fast, scalable retrieval - but the CPU-based infrastructure powering search was never built for real-time, high-throughput workloads. Today, with Hyperspace V2.0, we’re breaking through that ceiling. We’ve built a domain-specific Search Processing Unit (SPU) and completely re-architected the search engine for AI. The results are clear: ⚡ 10× faster search 📈 7.5× higher throughput 💰 6× more cost efficiency These are not synthetic benchmarks. They come from production-grade, highly complex queries in real-world use cases like financial services, fraud detection, quant trading, healthcare, recommendation systems and agentic AI. This launch is more than an optimization. It is the foundation of a new compute layer for AI. Just like GPUs transformed training and inference, Hyperspace is now doing the same for information retrieval. I couldn’t be prouder of the Hyperspace team for reaching this milestone. 🙌 Read the full blog to deep dive on how Hyperspace V2.0 is changing the game - https://lnkd.in/eTzUjvea 👉 Hyperspace V2.0 is live on AWS Marketplace. Run it on your own data, validate the benchmarks, and share the results you get. ⚡️ Sign up for an early access - https://lnkd.in/dGVtdfC2

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CopilotKit 🤝 Tavily One of the most powerful patterns in agentic apps is combining live web retrieval with interactive UI. That’s why our partnership with Tavily makes so much sense. Tavily provides a real-time search API that lets agents fetch current, verifiable info from the web. Paired with CopilotKit’s AG-UI protocol, developers now have a drop-in way to build fullstack agentic apps where agents don’t just respond, but act in the UI. How it works- User asks a question → Agent calls Tavily → UI updates live → User interacts → Agent continues the loop In short, devs can now get: - LLMs that fetch & reason with fresh, verifiable info - Copilots that act in your UI and not 'just reply' - A tight loop between user, agent, and data Check out our latest blog and explore how CopilotKit + Tavily can supercharge your AI copilots. Read more & get started: https://lnkd.in/gDicmii4

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