
ALT Card 1 of 4 (Title Hook): Google Open Source banner for This Week in Open Source #20 (Oct 23, 2026) featuring author Daryl Ducharme (Open Source Programs Office). Headline: What Sustains Open Source When Code Generation Drops Toward Zero? Subheadline: 9 open source reads + 10 Oct–Dec community events across AI-DDoS maintainer research, commit provenance, copyright law, and local AI. Highlights: (1) Maintainer bandwidth & governance: OSI at UNGA81, AI-DDoS (-18.18% merge rate), RedMonk (<1% AI commits) & copyright; (2) Ecosystem tools & local AI: OSS-Fuzz-inspired security, skill-reach, AT Protocol PDS metrics, Gemma 4 4B & ESP32 voice AI. Upcoming events: Open Source AI Week, AGNTCon + MCPCon, GitHub Universe, OSFF NY, SeaGL, and KubeCon NA.

ALT Card 2 of 4 (Value — Governance, Maintainer Bandwidth & Provenance): Headline: Keeping Project Doors Open Without Burning Out Humans. Three metric cards: (1) Reads 01–02 (OSI at UNGA81 & Google + OSU Research) — -18.18% Newcomer PR Merge Rate: Public Scaffolding & Surviving AI-DDoS PR Floods (At UNGA81, OSI & Google OSPO examine how open licenses need shared scaffolding—while a 294-repo study tests 11 strategies to filter AI noise without locking out newcomers); (2) Reads 03–04 (RedMonk Audit & All Things Open) — < 1% Explicit Machine Commits: Provenance Transparency & Human Copyright Law (Fewer than 1% of 24,000 H1 2026 C infrastructure commits carry machine trailers, while FreeDOS founder Jim Hall asks if vibe-coded software can even hold a GPL license); (3) Reads 05–06 (OSS Security & Agent Skill Routing) — 72 Trials Across Agent Harnesses: OSS-Fuzz-Inspired Audits & google/skill-reach.

ALT Card 3 of 4 (Deep Dive — Federation, Edge AI & Event Radar): Headline: Self-Hosted Federation, Local Models & Oct–Dec Events. Top grid cards: (1) Read 07 (AT Protocol PDS) — PDS OTLP in < 1GB RAM: Reference PDS adds custom OAuth login branding, 300MB video blobs, and direct-to-Prometheus OpenTelemetry metrics in under 1GB of RAM; (2) Reads 08–09 (Gemma 4 & ESP32) — 4B Diarization & 8MB Voice AI: Apache 2.0 DiarizationLM-Gemma-4-E4B beats an 8B Llama 3 baseline on transcript speaker labels, while GPL Ivy AI runs offline voice AI in 8MB PSRAM. Bottom terminal (oct_dec_2026_events.sh): Oct 19–24 Open Source AI Week (SF Bay Area, Awards Night + Google Gemma Hardware Hackathon); Oct 22–23 AGNTCon + MCPCon NA (San Jose, 3 Google Keynotes); Oct 28–29 GitHub Universe; Nov 04–05 OSFF New York; Nov 06–07 SeaGL; Nov 09–12 KubeCon + CloudNativeCon NA (Salt Lake, 35+ Sessions); Nov 13–14 SFSCON; Dec 01–03 Yocto Virtual Summit; Dec 07–11 OSS Japan + Open Compliance Summit.

ALT Card 4 of 4 (Action Card — X / Twitter @GoogleOSS): Headline: Join the Conversation Across the Open Source Ecosystem. Top box lists X / Twitter Ecosystem Handles (32X Co-Creation): Governance & Research (@OpenSourceOrg, @redmonk, @AllThingsOpen); Foundations (@linuxfoundation, @CloudNativeFdn, @AgenticAIFdn); Federation & Hardware (@bluesky, @adafruit, @github); Community Events (@KubeCon_, @sfscon, @yoctoproject). Middle box outlines X 2-Post Thread Architecture: Post #1 (<=240 chars, 0 outbound URLs) with 4-Card Carousel and pointer to first reply; Post #2 (First Reply) with https://goo.gle/twios-20 and event callouts. Bottom call to action: Read This Week in Open Source #20 — Link in first reply below: https://goo.gle/twios-20.

ALT Card 1 of 4 (Title Hook with Illustration): Google Open Source banner for "Introducing the Elephant-Goldfish Model Plugin for Design-Driven AI Coding" featuring the official minimalist split mark logo with a blue elephant profile and an orange goldfish profile. By the Elephant-Goldfish Model (EGM) Team: Brian Suchy, Jim Quinn, Elise Ewing, and Dave Rensin (Google). Subheadline: Pure AI coding speed without structured design auto-scales mistakes. Meet the open source framework keeping human judgment in the loop. Highlights: (1) Separates long-horizon design (Elephants) from stateless validation (Goldfish); (2) Used daily by thousands of Google engineers in production; (3) Apache 2.0 plugin: Markdown rules and subagent personas. Core principle quote: "Design is the new code — human judgment is the only artifact that truly matters."

ALT Card 2 of 4 (The 3-Phase EGM Lifecycle — From "No-Code" Brainstorming to Stateless Spec Validation): Stacked breakdown of the 3 co-design phases automated by the plugin: (1) Phase 01 (egm-brainstorm) — Long-Horizon "No-Code" Session: Growing the Elephant. Load system context and adhere to a strict "No Code" rule where the AI interviews you to co-design features, debate trade-offs, and challenge assumptions. (2) Phase 02 (egm-draft) — Executable Markdown Blueprint: Drafting with the Elephant. Iteratively draft a Markdown design spec covering problem definition, architecture, alternatives, and exact files to change. (3) Phase 03 (egm-review) — Zero-Context Adversarial Critics: The Goldfish Protocol. Spawn fresh, stateless Goldfish subagents with zero blind spots to probe the spec for ambiguity and logical gaps.

ALT Card 3 of 4 (Inside Phase 3 — How Stateless AI Reviewers Stress-Test Your Design Spec): Top cards contrast The Elephant (Long-Horizon Context-Rich Architect holding end-to-end architectural vision, project memory, and micro-decisions with zero code written) vs. The Goldfish (Zero-Context Stateless Skeptical Critic starting fresh with zero shared blind spots or sunk-cost bias to interrogate the Markdown spec objectively). Bottom terminal (egm-review — 3-Step Goldfish Validation Sequence): Step 1 Comprehension Check (naive reader summarizes spec back; flags ambiguous architecture or intent); Step 2 Antagonistic Review (skeptical personas probe edge cases; surfaces hidden dependencies and logical gaps); Step 3 Implementation Readiness (strict Go/No-Go gate verifying file paths, data structures, and signatures); Output: Validated Markdown Spec.

ALT Card 4 of 4 (X/Twitter Action Card — Explore the Open Source EGM Plugin & Rules on GitHub): Top box lists What is in the Apache 2.0 GitHub Repository: Authors Brian Suchy, Jim Quinn, Elise Ewing, and Dave Rensin (EGM Team); Repository github.com/google/elephant-goldfish-model (Apache 2.0); Included customizable Markdown rules, subagent personas, and workflows; Built for Google Antigravity (more IDEs upcoming). Middle box lists How to Get Started & Contribute: (1) Install the EGM plugin in Antigravity to automate Phases 1–3; (2) Customize validation rules and antagonistic Goldfish reviewer personas; (3) Shift from code micromanager to executive architectural reviewer. Bottom call to action: Read the Blog Post & Explore the GitHub Repo at https://goo.gle/elephant-goldfish-plugin (first reply below). Footer: @GoogleOSS.

ALT Card 1 of 4 (Competition Announcement): Google Open Source banner for "Verifiable Quantum Circuit Compilation Competition Powered by Kickmix" by Tanuj Khattar and Ryan Babbush (Google Quantum AI). Subheadline: Google Quantum AI is launching a Kaggle competition: use AI to compile smaller, more efficient quantum circuits—powered by kickmix, our new open source library in Qualtran. Bullets: (1) Competition Goal: Submit circuits that pass standalone Apache 2.0 verifiers while minimizing qubit & gate cost scores; (2) Core Open Source Project: kickmix in Qualtran (C++20 & Python) for building and fuzz-testing large quantum circuits. Spotlight: kickmix in Qualtran (github.com/quantumlib/Qualtran): Open Source C++20 & Python Circuit Verification Engine.

ALT Card 2 of 4 (Core Competition Project — Inside Kickmix: Open Source Circuit Building & Fuzzing): Stacked breakdown of the kickmix library in Qualtran: (1) Open Source Library (Apache 2.0) — kickmix in Qualtran (C++20 & Python): Purpose-Built for Large Fault-Tolerant Subroutines. Open sourced under Apache 2.0 inside Qualtran (github.com/quantumlib/Qualtran/tree/main/kickmix) to build and simulate 100M+ gate circuits on a single CPU core. (2) Verifiable Structure (PRX Quantum) — Bitstring-to-Bitstring + Phase Mapping: Reversible Logic, Phase Gates & Uncomputation, mapping each input bitstring to one output bitstring and phase. (3) Classical Verification (1 CPU Core) — 60 Billion Gates / Sec Fuzz Testing: Fast Approximate Verification for Agentic AI in linear time without exponential superposition blowup.

ALT Card 3 of 4 (Three Quantum Algorithm Competition Benchmarks): 2x2 grid detailing the 3 competition benchmarks and scoring: (1) Benchmark 01: Fusion Energy (PNAS) — Quantum Fast Inverse Square Root: Simulate charged particles slowing down in hot plasma fuel; given squared distance x, apply a phase proportional to 1/sqrt(x). (2) Benchmark 02: Optimization (Nature) — Decoded Quantum Interferometry: Solve Optimal Polynomial Intersection (OPI) by compiling a Reed-Solomon decoder in superposition. (3) Benchmark 03: Chemistry (PRX) — FeMoCo Nitrogen Fixation Lookup: Model nitrogenase FeMoCo active-site electrons via compact sum-of-squares Hamiltonian steps and quantum lookup table circuits. (4) Competition Scoring (Apache 2.0): Pass the standalone verifier while minimizing qubit and gate cost scores on Kaggle.

ALT Card 4 of 4 (X Action Card — How to Sign Up & Compete in the Kaggle Challenge): Top box lists Competition Hosts, Sponsors & Open Source Repo: Host & Platform @GoogleQuantumAI & @Kaggle; Authors Tanuj Khattar & Ryan Babbush (Google Quantum AI); Core Open Source Project kickmix in Qualtran (Apache 2.0 C++20/Python); Companion Paper arXiv:2610.23832. Middle box lists How to Sign Up & Submit: (1) Open the blog post in the first reply (goo.gle/kaggle-quantum-comp); (2) Download the Apache 2.0 baselines & verifiers from the Kaggle dataset; (3) Compress circuits with AI + kickmix in Qualtran & submit on Kaggle! Bottom CTA: Read Full Competition Details in the Blog Post at https://goo.gle/kaggle-quantum-comp.

ALT Stage photo from the Maintainer Roundtable at AGNTCon + MCPCon Europe in Amsterdam. Five speakers sit on black chairs beneath a wall-mounted screen titled "Maintainer Roundtable" displaying circular headshots and logos for Gartner, Anthropic, Solo.io, Google, and OpenAI. From left to right: moderator Nitish Tyagi (Gartner) speaking into a handheld microphone, David Soria Parra (Anthropic), Idit Levine (Solo.io), Kuba Herczyński (Google), and Nick Cooper (OpenAI).






