Hedgineer

What Meta Got Right About AI | S3E21 New Episode Tomorrow! Opus 5.5 shipped at 40% below Fable. Meta Muse explodes in popularity. It's a busy time in the world of AI. Michael and Jhanvi go through their first reactions of Muse. The onboarding asks you to name an agent before you've asked it to do anything, then connects your email and calendar, then asks about your health, your finances, and the relationships you want to work on. It never asks which model you want. It never asks you to build complex AI workflows. Meta pulled human reasoning and expertise out of the loop entirely and gave the harness that call, which is the opposite of how most agent products work today. They also allow users to see the entire file system, so ordinary users are browsing memory files and markdown like a codebase. Whether that survives mass adoption decides which technical concepts become general knowledge, the same way "file" and "firewall" did. The through-line is who gets value. Most of the people currently getting real leverage out of AI work in technology, and that includes funds outside of tech who have bought the same tools and still can't reach the autonomy they read about. Consumer AI is how that closes. Every time someone makes an agent feel obvious to a hundred million people, the floor rises for everyone building on top. They also get into Apple's Siri beta and why the data advantage there remains the most underused in the industry, what the social media rollout should have taught everyone about moving quickly, and Jev, which charges nothing for output tokens and is quietly very good at the boring classification work underneath every agent. Catch Season 3, Episode 20 tomorrow on Spotify, YouTube, Apple Podcasts, or wherever you listen. The Hedgineer Podcast with Michael Watson and Jhanvi Virani premieres weekly on Tuesdays. Subscribe for weekly analysis on AI infrastructure and institutional finance. Watch the full episodes on Spotify at https://isht.ink/dFj5oaqbe or YouTube at youtube.com/@hedgineer. Hedgineer.io

Who Benefits When AI Slows Down? OpenAI and Anthropic are calling for a slowdown in frontier AI development. Nvidia and Meta are not. The line runs between companies whose revenue depends entirely on frontier research and companies that have tested businesses underneath them. In this week's episode, Jhanvi and Michael get into why the split falls where it does, and what heavier regulation would cost the labs building models and the firms using them. Watch or listen to Season 3 Episode 20 of The Hedgineer Podcast with Michael Watson and Jhanvi Virani for the full discussion. https://lnkd.in/gvN5ESP5 New episodes every week. Find us wherever you listen, and catch the video version on YouTube and Spotify. Hedgineer.io

The Jupyter Precedent It sounds outlandish to swap formal data engineering for AI-driven work, until you compare it to how data scientists already work in Jupyter. They write the functions that turn data into insight, everyone clicks run, and nobody interrogates the output. AI can write those same functions. What decides whether it works is your firm's context layer: the business logic the data scientist was carrying in their head when they built the notebook, written down somewhere an agent can read it. With that there are virtually no bounds to how far you can engineer with AI. Catch Season 3 Episode 19 of The Hedgineer Podcast with Michael Watson and Jhanvi Virani for the full discussion. https://lnkd.in/gU7C84F4 New episodes every week. Find us wherever you listen, and catch the video version on YouTube and Spotify. Hedgineer.io #DataEngineering #HedgeFundTech #EnterpriseAI

When Every AI Session is an Asset In this week's episode, Michael and Jhanvi discuss Hedgineer's AI spend and how they make sense of its rising cost. In a lot of ways, their approach borrows from principles of asset management, where each AI session can be considered capital deployed into an asset, tagged to the feature, product, or service it produced. Catch Season 3 Episode 18 of The Hedgineer Podcast with Michael Watson and Jhanvi Virani for the full discussion. https://lnkd.in/gxqVSZpY New episodes every week. Find us wherever you listen, and catch the video version on YouTube and Spotify. Hedgineer.io #Vibecoding #HedgeFundTech #EnterpriseAI

The Road to AI-Native Frontier lab valuations rest on a specific bet about the future: companies everywhere reorganize around AI, the only work that remains is the hard, judgment-heavy kind, and the labs capture the spend that takes care of the rest. That story is usually told as a destination. The interesting debate is what happens on the route there. Watch or listen to Season 3 Episode 17 of The Hedgineer Podcast with Michael Watson and Jhanvi Virani for the full discussion. https://lnkd.in/gx3unS65 New episodes every week. Find us wherever you listen, and catch the video version on YouTube and Spotify. Hedgineer.io #Fable #AI #EnterpriseAI

Is Fable Worth It? The best models are the most expensive ones, but do most work tasks warrant the cost? It's a question businesses are evaluating in real time, especially as model quality continues getting better. AI spend is compounding faster than every other business expense with no precedent to plan against, and in this week's episode Michael and Jhanvi share their perspectives. Watch or listen to Season 3 Episode 17 of The Hedgineer Podcast with Michael Watson and Jhanvi Virani for the full discussion. https://lnkd.in/gx3unS65 New episodes every week. Find us wherever you listen, and catch the video version on YouTube and Spotify. Hedgineer.io #Fable #AI #EnterpriseAI