AI News

Elon Musk is steamrolling Wall Street to become a trillionaire

Today on Decoder, I’m talking to Ryan Mac, a technology reporter at The New York Times and coauthor of the excellent book Character Limit: How Elon Musk Destroyed Twitter, which came out in 2024. I can’t recommend it enough.  I wanted to have Ryan on the show because we’re on the cusp of the SpaceX […]

Read More »

Meet OpenJarvis: A Local-First Framework for On-Device Personal AI Agents with Tools, Memory, and Learning

Stanford researchers released OpenJarvis, an open-source framework that runs inference, agents, memory, and learning entirely on-device. It decomposes a personal AI system into five composable primitives — Intelligence, Engine, Agents, Tools & Memory, and Learning — and lands within 3.2 points of the best cloud model at roughly 800× lower marginal API cost.

The post Meet OpenJarvis: A Local-First Framework for On-Device Personal AI Agents with Tools, Memory, and Learning appeared first on MarkTechPost.

Read More »

Miso Labs Releases MisoTTS: An 8B Emotive Text-to-Speech Model with Open Weights

Miso Labs has released MisoTTS, an open-weights 8B text-to-speech model. It uses residual vector quantization (RVQ) to scale its sonic range without scaling parameters, and conditions on both text and audio context to respond to speaker tone. The architecture pairs a 7.7B backbone with a 300M depth decoder.

The post Miso Labs Releases MisoTTS: An 8B Emotive Text-to-Speech Model with Open Weights appeared first on MarkTechPost.

Read More »

As AI gets better, it reveals an empty promise

This week we’ve got tandem hands-ons with Google’s new Gemini AI agent – Spark – from my colleagues David Pierce and Jay Peters. Their takeaways are similar: It’s so effective that it’s scary. Spark knew that David’s dog is named Frida and knew the first name of Jay’s wife, even though neither of them explicitly […]

Read More »