Opening access for developers to build Muse connectors. You bring the API -- Muse brings the agent, the browser, and the context of what the person actually wants. People reach your service just by asking for it, and their agent takes it from there. New connectors are live today. Come build with us. muse.ai/platform

big 🚢 this week and then for devday 🚢🚢🚢🚢🚢🚢

I'm just going to call it: The fact we now have a routing intermediation layer on AI token usage means we'll soon see a 'regular' version where you pay full price, and a subsidized version where results on commercial prompts like ecommerce/travel are skewed slightly in exchange for cheaper token costs (or have outright 'sponsored' results that display separately). AI-enabled consumer apps with weak monetization (compared to money-gusher enterprise usage) will opt for the sponsored token pipe to float their computation costs. The third-party AI ad exchange of the future will be injecting the 'sponsored' part of the subsidized results into the token stream, combined with an attribution loop around the sponsored AI result that credits the app layer for surfacing the result. The commercials might even be a rev-share on the downstream monetization, much like referral agreements, combined with dynamic bidding from the merchant on agentic attention (based on human user history, managed in a GDPR-safe way, in which the app owns the user data and relationship). Trillions.

In case you haven't been paying attention, ChatGPT Work (web) now has the following primitives: - its own browser w/ best-in-class persistent auth - a 16gb RAM 9 core computer - plugins to all the apps you use - 5.6 w/ Codex compaction 🤲 here is your always-on personal agent

The first-ever measured silicon numbers for @NVIDIA Vera Rubin NVL72 are in 😲 First measured performance shows 10x more tokens per megawatt than Blackwell. No projections. Real results from live hardware.

Welcome to VGS, Simon Tiu, our new Senior Vice President of Finance! 🎉 Simon joins us from @vertexventures, where he served as an early-stage software investor (including for VGS!), partnering with technical founders building tools that help developers and companies leverage AI more effectively. 🤖 Earlier in his career, Simon was an investment banker at @qatalystgroup, where he advised enterprise software companies on nearly $100 billion in M&A transactions. He also held roles in management consulting with @Deloitte and in product at @Google Cloud, bringing a rare combination of financial, strategic, and technical perspectives to his work. Simon's blend of financial expertise, operator's insight, and genuine technical fluency makes him an outstanding addition to our leadership team. Please join us in welcoming Simon to @getVGS 👏 #VGS #Fintech #Payments #Leadership #SeniorVP #Finance

Our intern just built the first zero-person company. Listen's agent ran a loop: - Interview users - Build - Test with real people - Fix issues - Repeat 2,000 interviews and 100 concepts later: an app with 100s of paying customers. Here’s how it works: