Jonathan Herbert (@jmbherbert) header
Jonathan Herbert (@jmbherbert) profile picture

Geospatial PM & AI slop cannon. Quant dabbler. 3D printer.

Campbell, CA
Joined December 2010
Photo by Jonathan Herbert (@jmbherbert)Photo by Jonathan Herbert (@jmbherbert)Photo by Jonathan Herbert (@jmbherbert)Photo by Jonathan Herbert (@jmbherbert)Photo by Jonathan Herbert (@jmbherbert)Photo by Jonathan Herbert (@jmbherbert)
I turned my handwriting into a functional font in an afternoon. No manual tracing. No expensive software. Just one sheet of paper, OpenCV, and Gemini 3.8. Here's what it looks like typed in real time:
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The dead giveaway of a fake handwriting font is double letters. If both 'o's in 'look' or 'coffee' are identical, it looks robotic. Because I wrote each letter 3x, we built an OpenType rule: any repeated letter swaps to an alternate version automatically. 🖊️
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I didn't write this from scratch - I paired with Gemini 3.8 in an agent harness. From the printable PDF and OpenCV vision to TrueType winding and compiling the TTF, Gemini handled all of it in minutes. 🚀
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Jonathan Herbert retweeted
Step into the map with the Street View grounding feature in Project Genie from @GoogleDeepmind and @GoogleLabs. Announced at I/O, this research prototype uses locations from @GoogleMaps Street View as a foundation, letting you generate and explore interactive, 360-degree virtual environments from just a text prompt or real-world starting place. Cool, right? But… How does it actually work? 🤔 As an experimental tool, Project Genie tackles the "blank space" problem (showing both what’s in front of the camera and behind it) by utilizing Street View data to realistically generate a 360-degree view of the location you selected as the starting point for your world to generate from. Worlds generated by Genie are far more dynamic and rich because they’re created frame-by-frame based on the world description and user actions. By predicting each subsequent frame, Genie is able to simulate what it looks like to swim across an ocean, or hike to the top of a peak, marking a massive shift in interactive media and simulation pipelines. What real-world place would you want to step into and explore?
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Jonathan Herbert retweeted
Google Flow 🤝 @GoogleMaps Street View Your agent in Google Flow can now generate images and videos grounded in @GoogleMaps Street View, giving your scenes real-world details. Whether you are placing characters in a local scene, stylizing a city landmark, or reimagining your favorite neighborhood, your agent references real-world imagery when generating images and videos. How to get started: 1️⃣ Open the Flow Agent. 2️⃣ Include a specific location in your prompt. 3️⃣ Watch your scene come to life. 📍 Note: Currently available for U.S. Street View locations only.
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How do you fit the whole world into an GenMedia model? 🌍 Simple answer: You don't. ❌ AI knows the Eiffel Tower, but completely makes up your local street. 🏢 So we’re bringing Maps Imagery Grounding to Google Flow 🚀 Here’s how we're changing what's possible... 👇 (1/2)
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Instead of static memory, the Flow agent pulls Google Street View as precise context at runtime. 🗺️ This means your physical world can be restyled or animated into anything - based on Google's extensive imagery. 🎨 What US landmark or local spot are you restyling first?
🤖 Made with AI
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Jonathan Herbert retweeted
street view grounding now available for google’s offline video models. can’t wait till you can do “spatial RAG” to load in the right panoramas to reference - suddenly large scale real world locations become movie sets!
Google Flow 🤝 @GoogleMaps Street View Your agent in Google Flow can now generate images and videos grounded in @GoogleMaps Street View, giving your scenes real-world details. Whether you are placing characters in a local scene, stylizing a city landmark, or reimagining your favorite neighborhood, your agent references real-world imagery when generating images and videos. How to get started: 1️⃣ Open the Flow Agent. 2️⃣ Include a specific location in your prompt. 3️⃣ Watch your scene come to life. 📍 Note: Currently available for U.S. Street View locations only.
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Kind of fun to run Project Genie outputs through Omni Flash in Google flow to upscale + add realism. Interesting potential future use cases in fine-grained camera control.
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Jonathan Herbert retweeted
Project Genie 🤝 @GoogleMaps Street View You can now take real U.S. places and transform them into new, interactive worlds. 🌍
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Jonathan Herbert retweeted
Imagine driving down one of the most picturesque highways on the Pacific Coast (Highway 1) in a race car… now I can use Project Genie, connected with Street View, to bring that to life in vivid detail! At #GoogleIO, we announced that we’re bringing Google Street View into Project Genie, so you can create and explore imaginative, interactive worlds anchored in real places. Available to eligible Google AI Ultra Subscribers globally. Great collab from @jmbherbert, @jparkerholder, @poolio, @drivascos + many others from @GoogleDeepMind and @GoogleLabs.
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Jonathan Herbert retweeted
Project Genie is a @GoogleLabs experiment that lets you simulate dynamic worlds you can navigate in real time with Genie, our general-purpose world model. Today, we’re connecting Project Genie to nearly 20 years of Street View data from Google Maps — so you can now build interactive spaces based on real-world locations. Street View imagery in Project Genie is available now for places in the U.S., and will expand to more locales over time. #GoogleIO
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Jonathan Herbert retweeted
Real-world models are here! Stoked to share how we're bringing real-world locations to life by integrating Street View into Genie. Try it now at labs.google/fx/projectgenie and read the blog for more info: blog.google/innovation-and-a…
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So proud to finally share what our team has been building! 🤯 We merged Project Genie with Street View to let you drop a pin anywhere and instantly generate a playable, 3D simulation of that exact spot. 🗺️ #ProjectGenie #StreetView blog.google/innovation-and-a…
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