Google Open Source · Nov 3, 2026 · 7:44 PM UTC

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Google Open Source@GoogleOSS7h

Building interactive 3D, AR, and WebXR apps usually means wrestling with heavy 3D asset pipelines. Three-Live introduces an Apache 2.0 library + on-device Rust/Boa compiler turning procedural @threejs_org scripts into GLB, USDZ & WebXR in ms. 👇 Link in first reply

Title card for the Google Open Source blog post "Introducing Three-Live: AI-Generated Three.js to 3D, AR & WebXR in ms" by Jonathan Bingham (AI Foundations at Google). Subheadline: "An Apache 2.0 library and on-device Rust/Boa compiler turning procedural Three.js scripts into binary glTF 2.0 (GLB), Apple USDZ, and WebXR scenes." Key bullets highlight sandboxed execution with strict resource quotas via Web Workers and an embedded Rust + Boa ECMAScript engine, compiling procedural Three.js into binary GLB and USDZ byte buffers in memory in 2–5 milliseconds. Links: github.com/google/three-live and goo.gle/three-live.

ALT Title card for the Google Open Source blog post "Introducing Three-Live: AI-Generated Three.js to 3D, AR & WebXR in ms" by Jonathan Bingham (AI Foundations at Google). Subheadline: "An Apache 2.0 library and on-device Rust/Boa compiler turning procedural Three.js scripts into binary glTF 2.0 (GLB), Apple USDZ, and WebXR scenes." Key bullets highlight sandboxed execution with strict resource quotas via Web Workers and an embedded Rust + Boa ECMAScript engine, compiling procedural Three.js into binary GLB and USDZ byte buffers in memory in 2–5 milliseconds. Links: github.com/google/three-live and goo.gle/three-live.

Infographic card titled "Universal Portable 3D Without Heavy Pipelines" detailing three core Three-Live capabilities: (1) Capability 01, Sandboxed Web Worker & Rust Boa Engine (Zero Network): safe execution of untrusted AI-generated scripts stripping fetch, WebSocket, and dynamic import while enforcing timeouts and geometry quotas; (2) Capability 02, On-Device glTF 2.0 & Apple USDZ Compiler (2–5 ms Compile): in-memory binary GLB and USDZ serialization of geometries, PBR materials, canvas textures, and keyframe animations; (3) Capability 03, Lightweight Web & Native Mobile SDKs (23–55 KB Gzip).

ALT Infographic card titled "Universal Portable 3D Without Heavy Pipelines" detailing three core Three-Live capabilities: (1) Capability 01, Sandboxed Web Worker & Rust Boa Engine (Zero Network): safe execution of untrusted AI-generated scripts stripping fetch, WebSocket, and dynamic import while enforcing timeouts and geometry quotas; (2) Capability 02, On-Device glTF 2.0 & Apple USDZ Compiler (2–5 ms Compile): in-memory binary GLB and USDZ serialization of geometries, PBR materials, canvas textures, and keyframe animations; (3) Capability 03, Lightweight Web & Native Mobile SDKs (23–55 KB Gzip).

Architecture card titled "Declarative HTML WebXR & Native Mobile Runtimes." Left box ("23–55 KB WebGL2 & WebXR"): Viewer (~23 KB gz), full scripting + AR (~45 KB gz), and xr-live (~55 KB gz) with 6DoF hand-tracking gestures and spatial DOM projection. Right box ("Filament & RealityKit SDKs"): Android Kotlin/JNI AAR (com.google.threelive:compiler) and 5-slice iOS/macOS Swift Package (ThreeLiveCompiler) powered by Rust + Boa. A terminal diagram lists the 6-step pipeline from procedural Three.js input script through Web Worker or Rust/Boa sandbox to in-memory GLB/USDZ assets rendered in WebGL2, WebXR, Google Filament, and Apple RealityKit.

ALT Architecture card titled "Declarative HTML WebXR & Native Mobile Runtimes." Left box ("23–55 KB WebGL2 & WebXR"): Viewer (~23 KB gz), full scripting + AR (~45 KB gz), and xr-live (~55 KB gz) with 6DoF hand-tracking gestures and spatial DOM projection. Right box ("Filament & RealityKit SDKs"): Android Kotlin/JNI AAR (com.google.threelive:compiler) and 5-slice iOS/macOS Swift Package (ThreeLiveCompiler) powered by Rust + Boa. A terminal diagram lists the 6-step pipeline from procedural Three.js input script through Web Worker or Rust/Boa sandbox to in-memory GLB/USDZ assets rendered in WebGL2, WebXR, Google Filament, and Apple RealityKit.

Action card for @GoogleOSS on X titled "Try Three-Live & XR-Live in Your Browser Today." Lists author Jonathan Bingham (AI Foundations, @GoogleOSS), GitHub repo github.com/google/three-live (v1.0.0, Apache 2.0), ecosystem references (@threejs_org, @glTF3D, OpenUSD, @rustlang), and companion Android XR framework xrblocks.github.io. Includes quick-start install commands (npm install three-live xr-live and crates.io/crates/three-live-compiler) and shortlink https://goo.gle/three-live in the first reply.

ALT Action card for @GoogleOSS on X titled "Try Three-Live & XR-Live in Your Browser Today." Lists author Jonathan Bingham (AI Foundations, @GoogleOSS), GitHub repo github.com/google/three-live (v1.0.0, Apache 2.0), ecosystem references (@threejs_org, @glTF3D, OpenUSD, @rustlang), and companion Android XR framework xrblocks.github.io. Includes quick-start install commands (npm install three-live xr-live and crates.io/crates/three-live-compiler) and shortlink https://goo.gle/three-live in the first reply.

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Google Gemma · Nov 3, 2026 · 4:56 PM UTC

Google Open Source retweeted

Google Gemma

@googlegemma10h

Gemma 4 in Space. 🛰️ Google Research's Project Suncatcher just booted up data-center TPUs aboard a prototype satellite and ran Gemma 4 in Low Earth Orbit. For its "Hello World" test, engineers on Earth asked Gemma 4 to write a haiku about being in space. Passing over Svalbard, Norway, the satellite downlinked its response: Blue marble below Data streams in silent grace Starlight feeds my core. ✨ Built with Planet and running on a ~1kW solar budget, the team is now testing how TPUs handle heat and radiation in space.

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Sundar Pichai · Jul 25, 2026 · 2:39 PM UTC

Google Open Source retweeted

Sundar Pichai

@sundarpichaiJul 25

Very happy to support this on behalf of Google. We have long benefited from open source, are big contributors to open source and in fact have consistently made open weights models with Gemma available from @GoogleDeepMind @demishassabis . Onwards!

Jensen Huang

@JensenHuangJul 24

For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models. images.nvidia.com/pdf/Open-W…

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Google Open Source · Nov 3, 2026 · 7:44 PM UTC

Google Open Source@GoogleOSS7h

Replying to @GoogleOSS @threejs_org

Explore Three-Live & XR-Live on the Google Open Source Blog: goo.gle/three-live #OpenSource #ThreeJS #WebXR

Introducing Three-Live: turning AI-generated Three.js into interactive 3D, AR, and WebXR across web...

Meet Three-Live: an Apache 2.0 library and on-device Rust/Boa compiler turning AI-generated Three.js code into glTF 2.0, USDZ, and WebXR in ≤ 50 KB.

opensource.googleblog.com

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Christopher Layhew Sr · Nov 2, 2026 · 4:59 PM UTC

Google Open Source retweeted

Christopher Layhew Sr

@fibanacci101Nov 2

💛Google Strikes Gold Again💛 Then share it for free with everyone!!!! Google’s OSS-Fuzz has quietly found and helped fix over 13,000 vulnerabilities and 50,000 bugs across ~1,000 open-source projects. It’s free continuous fuzzing (libFuzzer, AFL++, Honggfuzz + sanitizers) that runs at massive scale on critical C/C++, Rust, Go, Python, Java and other code. Maintainers get private bug reports without running the infrastructure themselves. If you work on widely used open source, this is one of the highest-leverage security tools available. Check it out: github.com/google/oss-fuzz Know any projects that should be on it?

GitHub - google/oss-fuzz: OSS-Fuzz - continuous fuzzing for open source software.

OSS-Fuzz - continuous fuzzing for open source software. - google/oss-fuzz

github.com

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Nadav Shomer · Nov 2, 2026 · 6:20 PM UTC

Google Open Source retweeted

Nadav Shomer

@nadavshomerNov 2

Google's Elephant-Goldfish Model is a free, open-source plugin for Claude Code, Codex and Antigravity. Google says thousands of its engineers use it. It's for anyone whose agent starts coding before the plan holds up. What I'd copy into my own setup: 1. One agent with your full project context drafts the spec before any code gets written. 2. Fresh subagents that never saw the chat review it. They catch the assumptions you never said out loud. 3. You make the trade-offs and approve the design. Only then does the agent build. 4. Skip it for small, clear bug fixes. Use it when a feature needs real design calls. 5. Later, run the drift report to check your docs still match the code. Repo: google/elephant-goldfish-model on GitHub. Worth the read. nitter.cf/VaibhavSisinty/status/…

Vaibhav Sisinty

@VaibhavSisintyNov 2

I found this on Reddit and this is crazyy. This guy spends a full day writing a Markdown spec before he lets Claude write any code. He has done it for over a year, on every project. Let Claude code straight away and the first two hours feel like magic. By day 3, you are stuck in a 150-message thread where fixing one bug breaks two more. Writing the plan first flips that. Mistakes on paper cost nothing. Mistakes in code cost weeks. His latest project proved it. Days revising the spec killed a bad sync design before a single line was written. Google open-sourced the same idea, taken further. It is called the Elephant-Goldfish Model. The Elephant remembers everything and writes the spec. It writes no code. The Goldfish remember nothing. Fresh subagents read the spec cold and poke holes in it before any code exists. That is the useful part. The plan gets attacked while it is still cheap to fix.

Image from Vaibhav Sisinty (@VaibhavSisinty)

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Chief AI Officer at Canly, Japan | 萩野貴拓カンリー CAIO · Oct 30, 2026 · 4:04 AM UTC

Google Open Source retweeted

Chief AI Officer at Canly, Japan | 萩野貴拓カンリー CAIO

@haginotaOct 30

What if your best design reviewer was an AI that never saw the conversation? • Google's EGM: an "Elephant" AI drafts the spec, fresh "Goldfish" AIs hunt its gaps before coding • Try it today in Claude Code, Codex or Antigravity Kudos @GoogleOSS! opensource.googleblog.com/20…

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Laban · Oct 30, 2026 · 7:34 PM UTC

Google Open Source retweeted

Laban

@lunkertwOct 30

Google's Project Suncatcher prototype satellite booted an on-orbit TPU, making Gemma 4 the first language model to run inference in space; Reddit CEO Steve Huffman warned that Google AI Mode drives zero traffic as Reddit loses over 1 million weekly search visits; Wall Street technology shares tumbled over AI capital expenditure concerns, with Intel plunging over 30% intraday. On GitHub, developers backed open-source memory and agent tooling: MemPalace topped memory benchmarks while Harvey automated end-to-end sales pipelines without API keys. Key developments: 1. Google Boots Orbital TPU on Suncatcher Satellite to Run Gemma 4 Google confirmed that its Project Suncatcher prototype satellite successfully initialized an onboard TPU in orbit. Ground control sent execution commands, ran model prompts, and received a generated poem back on Earth. Google DeepMind developer experience lead Philipp Schmid cited Sundar Pichai, confirming Gemma 4 as the first large language model executed in space. Link: nitter.cf/_philschmid/status/211… 2. Reddit CEO: Google AI Mode Drives No Traffic, Reddit Loses 1M+ Weekly Visits Reddit CEO Steve Huffman disclosed that Reddit lost more than 1 million weekly visits from Google search in October. Despite strong financial results, Reddit shares dropped over 25%. Huffman warned that Google's AI Mode fails to deliver web traffic to publishers. Reddit is testing login walls outside the United States to block automated web scraping and continuing commercial licensing talks with AI labs. Link: the-decoder.com/googles-ai-m… 3. AI ROI Fears Trigger Tech Stock Selloff, Intel Drops Over 30% Investor anxiety over massive artificial intelligence infrastructure spending triggered a second consecutive day of steep losses across US technology equities. Intel shares fell more than 30% intraday. Analysts point to extended payback periods on heavy data center capital expenditures, prompting valuation compressions across semiconductor and cloud providers. Link: bbc.co.uk/news/articles/cvwy… 4. MemPalace/mempalace (+357 stars today, Python) The MemPalace team released an open-source AI memory architecture designed for top benchmark performance. The system uses structured extraction and persistent state storage to give LLMs and autonomous agents fast cross-session recall, preventing context overflow and multi-turn state degradation. Repo: github.com/MemPalace/mempala… 5. ethanplusai/harvey (+248 stars today, Python) An autonomous sales agent built to run on existing Claude Code or Codex subscriptions. The tool operates without standalone API keys, finding sales prospects, generating customized cold outreach, sending email sequences, triaging replies, and booking calendar meetings automatically. Repo: github.com/ethanplusai/harve…

Philipp Schmid

@_philschmidOct 30

This incredible. Gemma 4 became the first LLM to run in space?

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Google Open Source · Oct 30, 2026 · 6:35 PM UTC

Google Open Source@GoogleOSSOct 30

This Week in Open Source #21 is here! 🎃🌐 👻 Supply-chain ghosts (GhostAction & LiteLLM) & EU CRA fork costs 🤖 200+ OSS AI policies, Bootstrap agent triage & Genkit Go 1.14 HITL ⚡ TorchTPU, CNCF llm-d 1.0 & FOSDEM 2027 👇 Link in first reply

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Google Open Source · Oct 30, 2026 · 6:35 PM UTC

Google Open Source@GoogleOSSOct 30

Read all 9 highlights (including OSI on open weights vs. open source AI, FOSDEM 2027 devroom CfPs & Nov–Jan event dates for @CloudNativeFdn KubeCon NA, @seagl & @fosdem): goo.gle/twios-21 #OpenSource #FOSS

This Week in Open Source for October 30, 2026

Explore supply-chain security, 200+ OSS AI policies, human-in-the-loop agents, TorchTPU, CNCF llm-d 1.0, FOSDEM 2027 devrooms, and upcoming events.

opensource.googleblog.com

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The Linux Foundation · Oct 29, 2026 · 1:00 AM UTC

Google Open Source retweeted

The Linux Foundation

@linuxfoundationOct 29

🎤 Announcing the keynote lineup for #OSSummit Japan + #AutoLinux + #EmbeddedLinux in Tokyo, December 7-9! Hear from Kaz Sato of Google, Vivek Bhan of Renesas, Yuichi Nakamura of Hitachi, Omar Mohsine of the United Nations, Sachiko Muto of OpenForum Europe, Linux Kernel Maintainer Greg Kroah-Hartman, & more! Register by November 23 and save ¥30,000. MEET THE KEYNOTES: bit.ly/4dX6fR6 REGISTER: bit.ly/4cbg90v

Image from The Linux Foundation (@linuxfoundation)

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Tech Lead Corner · Oct 29, 2026 · 3:04 PM UTC

Google Open Source retweeted

Tech Lead Corner@techleadcornerOct 29

Artemis is an open source Android automation agent from Google. You type a goal in plain words, and it taps, swipes and types on a real phone or emulator. github.com/google/artemis

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Google Open Source · Oct 29, 2026 · 4:26 PM UTC

Google Open Source@GoogleOSSOct 29

The AtmosphereConf 2027 CFP is open! If you're building with AT Protocol, open agent runtimes, or decentralized web standards, submit a talk for the Amsterdam summit (Apr 29 – May 2, 2027). 👇 Link in first reply

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Google Open Source · Oct 29, 2026 · 4:26 PM UTC

Google Open Source@GoogleOSSOct 29

Submit your Round 1 proposal by Nov 30, 2026: cfp.atmosphereconf.org/atmoc…

Atmosphere Conference 2027

Schedule, talks and talk submissions for Atmosphere Conference 2027

cfp.atmosphereconf.org

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Daniela Petruzalek · Oct 27, 2026 · 1:05 PM UTC

Google Open Source retweeted

Daniela Petruzalek

@danicat83Oct 27

If AI brings us the promise of the future, why are we still stuck in the past with chatbots in Markdown? Most AI applications today still work like a terminal from decades ago: you type a prompt, the agent runs a tool, and it dumps a wall of text back at you. Modern agentic interfaces should not only use richer UI elements, they should also adapt to what the user needs instead of forcing everything through a static, one-size-fits-all screen. That changes how we think about frontend development. Instead of designing hardcoded application screens upfront, we design a shared catalog of UI building blocks and let the agent assemble the interface on demand. Google's open Agent to User Interface (A2UI) protocol was built for this. Your frontend keeps full control over styling and native components, while the agent decides what to display based on context across three primitives: • Catalog: The menu of UI components (charts, gauges, tables, 3D views, buttons) shared between the backend agent and the frontend client. • Surfaces: The live UI canvas that updates in real time as the agent streams structured JSON messages. • Actions: Two-way events that turn a click on a table row, graph node, or button directly into the next turn of the conversation without typing a follow-up prompt. In my latest article, I used A2UI and Genkit to give my diagnostic agent, AIDA, the modern glowup she deserves, with dynamic UI elements rendered on-demand and human in the loop tool approvals for the most critical operations. Read the full article on danicat.dev: danicat.dev/posts/designing-… Companion repository: github.com/danicat/go-aida

Hero illustration of a Go Gopher engineer presenting a holographic A2UI diagnostic cockpit with HUD gauges, a 3D process graph, and human-in-the-loop approval controls

ALT Hero illustration of a Go Gopher engineer presenting a holographic A2UI diagnostic cockpit with HUD gauges, a 3D process graph, and human-in-the-loop approval controls

AIDA diagnostic surface rendering a 3D wireframe process graph, circular HUD gauges for CPU load and memory, and a sortable top-processes DataMatrix

ALT AIDA diagnostic surface rendering a 3D wireframe process graph, circular HUD gauges for CPU load and memory, and a sortable top-processes DataMatrix

ALT AIDA human-in-the-loop tool interrupt card requesting explicit user approval before running du -sh /tmp

ALT AIDA cockpit after approving the tool interrupt, rendering disk usage and DNS resolver HUD gauges with interactive follow-up buttons

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API Evangelist · Oct 26, 2026 · 8:23 PM UTC

Google Open Source retweeted

API Evangelist@apievangelistOct 26

What 467 Conformant A2A Agent Cards Are Actually Offering 467 providers serve a conformant A2A agent card. Nearly half came from a docs platform default with one skill: read our docs. Most of the rest are agent-native companies selling by the call. apievangelist.com/2026/10/26…

What 467 Conformant A2A Agent Cards Are Actually Offering

As of today’s build, the A2A section of APIs.io has 594 providers serving an agent card. 467 of them are conformant, meaning the card passes every structural...

apievangelist.com

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Richard Seroter · Oct 21, 2026 · 4:35 PM UTC

Google Open Source retweeted

Richard Seroter

@rseroterOct 21

No more frameworks on top of languages? Use AI to generate whatever code an app needs to reach a goal? In some cases, sure. But I like using certain frameworks that do smart things for me. @GenkitFramework is definitely that for agentic @golang apps. genkit.dev/blog/genkit-go-1-…

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Genkit · Oct 26, 2026 · 4:40 PM UTC

Google Open Source retweeted

Genkit

@GenkitFrameworkOct 26

Genkit Dart 1.0.1 is here! 🚀 What's new: • Primitive input schemas for tools across all providers • genkit_firebase_ai agentPlatform & custom httpClient • Session state & interrupt resume fixes Thanks to garvitkaushik-123! 🎉 👇

ALT Code snippet

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Genkit · Oct 26, 2026 · 4:40 PM UTC

Google Open Source retweeted

Genkit

@GenkitFrameworkOct 26

Check out the full release notes and migration details: github.com/genkit-ai/genkit-…

Release Genkit Dart 1.0.1 · genkit-ai/genkit-dart

Breaking changes genkit_firebase_ai (0.4.0) vertexAI provider is replaced by agentPlatform, and the appCheck and auth params are removed. The plugin no longer uses the firebase_ai APIs that were ...

github.com

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Google Open Source · Oct 26, 2026 · 7:46 PM UTC

Google Open Source@GoogleOSSOct 26

Testing and serving Agent2Agent (A2A) v1.0 agents from the terminal just got simpler. 🛠️ @meteatamel walks through the official `a2a` CLI: inspecting capability cards, streaming JSONL tasks, and `--echo`/`--exec` servers. 👇 Link in first reply

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Google Open Source · Oct 26, 2026 · 7:46 PM UTC

Google Open Source@GoogleOSSOct 26

Read the full guide and explore the A2A v1.0 CLI samples: goo.gle/a2a-cli-guide

Testing and Serving A2A Agents from the Terminal with A2A CLI

In my Agent Protocols — MCP, A2A, A2UI, AG-UI post, I provided a high-level overview of the main agent protocols, including the Agent2Agent…

medium.com

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