Every week, I organize 400 to 700 links into roughly 60 categories as part of my ongoing effort to learn about AI. This is my personal notebook, which I enjoy sharing with friends… a hobby and a labor of love, rather than a commercial publication or product.
If you arrived here through a search or shared link, this page collects the links I found for Google for the week ending August 21, 2026.
As part of my learning process, I like to automate the category covers. It gives me a chance to learn Python and APIs.
This week’s cover prompt was written using Claude Opus 4.7, and the image was generated using Nano Banana 2.1.
Category Cover Image Prompt: Bright sunny architectural photograph of a 1929 Art Deco Indiana limestone skyscraper in Chicago, with a row of identical stylized herms emerging from vertical piers at a setback, each carved figure holding a round stone magnifying lens etched with a simplified globe and meridians against its chest, warm honey-cream limestone and crisp raking shadows under a clear deep blue sky, dark steel-framed windows between the piers, and the word GOOGLE incised in large Art Deco capitals on a frieze band beneath the figures, perspective-corrected verticals, neighboring buildings receding behind.
This Week in Google News
Summary by Claude Sonnet 5.5 based on this week’s links:
- Gemini 3.7 Flash gets the benchmark attention: Google highlighted that Gemini 3.7 Flash ranked #1 on Artificial Analysis' new AA-AnalystAgent, which tests 80 real-world analysis tasks across 14 domains. ARC Prize reported 84.6% on ARC-AGI-2 at $0.25 per task, calling out its low cost relative to other frontier models.
- Gemma passes a billion downloads: Google and Omar Sanseviero both marked Gemma, the open model family, crossing 1 billion downloads. Philipp Schmid also shared an Awesome Gemma GitHub list covering 16 variants plus setup guides and fine-tuning recipes.
- AI Studio and Antigravity get more developer tooling: AI Studio build now imports GitHub repos and supports two-way push and pull sync, per Logan Kilpatrick. Google's Antigravity blog also posted about Custom Agents and an Antigravity offering for Gemini Enterprise.
This summary was generated by Claude Sonnet 5.5 to help you explore the links below. Rest assured, I select, organize, and check the links by hand in Google Sheets, and write the introduction and personal commentary in The Main Newsletters myself each week as a labor of love.
This week's links related to Google
Claude can now send emails in Gmail and manage files in Google Drive. Ask Claude to reply to a thread, and it drafts and sends the response. You control when it needs your approval. Connect Gmail or Google Drive from the connectors menu to try. Available on all paid plans.”
https://x.com/claudeai/status/2089806039088517356
Introducing Custom Agents | Google Antigravity Blog
https://antigravity.google/blog/introducing-custom-agents
We hit No.3 on the Image-editing benchmark! … beating Google’s Nano Banana and Meta’s Muse Image models.”
https://x.com/mustafasuleyman/status/2089766508373176726
Gemma officially achieved 1 billion downloads 🔥 From running underwater to running at space, I’m so excited by how the community is using the models for so many inspiring use cases.”
https://x.com/osanseviero/status/2090490264112738579
Gemini 3.7 Flash just took #1 on @ArtificialAnlys new AA-AnalystAgent. AA-AnalystAgent evaluates against 80 real-world quantitative analysis tasks across 14 business and scientific domains (finance, healthcare, hydrology, government appropriations). The Agent run inside an”
https://x.com/_philschmid/status/2090063976872751408
Bringing Antigravity to Gemini Enterprise: Agentic workflows for every developer | Google Antigravity Blog
https://antigravity.google/blog/antigravity-enterprise
ICYMI: Gemini 3.7 Flash is now available to all Google AI Pro and Ultra users in Gemini chat and Gemini Spark ✨ For Gemini Spark, this means your 24/7 personal AI agent in the @GeminiApp is now even better at handling multi-step tasks for you and using tools across your”
https://x.com/Google/status/2090113238436315618
Gemini 3.7 Flash is excellent at agentic vision tasks. We’ve been working with it for some time now. It’s fast. And cheap. @andrew_n_carr likes it! 🤸♀️ #Google #Gemini”
https://x.com/JonathanJarvis/status/2090479013344993579
(60) WF2026: Autoresearch & Keynotes ft. Anthropic, Google DeepMind, Amazon AGI, Sonar, Arena, Recursive – YouTube
https://www.youtube.com/watch?v=4sX_He5c4sI
Gemini 3.7 Flash from @Google on ARC-AGI (Verified): – ARC-AGI-2: 84.6%, $0.25/task – ARC-AGI-1: 95.5%, $0.12/task Gemini 3.7 Flash stands out for its low cost and high scores on ARC-AGI-1 and ARC-AGI-2 relative to other frontier models.”
https://x.com/arcprize/status/2090500144550539327
Qwen3.8 vs Qwen3.6 vs Gemma 4: 24GB GPU Test
https://kingy.ai/blog/qwen3-8-27b-vs-qwen3-6-27b-vs-gemma-4-31b/
Gemini 3.7 Flash isn’t just fast ⚡ It’s now ranked #1 on @ArtificialAnlys’ AA-AnalystAgent leaderboard for complex, real-world data analysis. In a test of 80 real-world tasks across 14 business and scientific domains, Gemini 3.7 Flash combined reasoning and speed to deliver the”
https://x.com/NewsFromGoogle/status/2090120394141266141
What % of global AI token spend do you think is people running evals?”
https://x.com/OfficialLoganK/status/2090235603745165684
Google reportedly taps AMD to design next-generation TPU … hybrid AI ASIC could integrate on-package CPU cores for reinforcement learning | Tom’s Hardware
https://www.tomshardware.com/tech-industry/artificial-intelligence/google-reportedly-taps-amd-to-design-next-generation-tpu-hybrid-ai-asic-could-integrate-on-package-cpu-cores-for-reinforcement-learning
Back-to-school season is here and starting today, eligible college students can get a full year of Gemini on us: – US students: 1 year of Google AI Pro at no cost – 140+ countries: 1 year of Google AI Plus at no cost Here’s what’s new for students 👇”
https://x.com/GeminiApp/status/2090165248196252003
Awesome Gemma is live on @github 🤗 A list of awesome Gemma resources, tools, and projects. 1. Model cards and collections for 16 Gemma variants 2. Setup guides for Ollama, vLLM, and LiteRT 3. Fine-tuning recipes for Unsloth, Tunix, and MLX 4. Community tutorials, apps, and”
https://x.com/_philschmid/status/2090485095396180034
When we first introduced @GoogleGemma, our family of open models, our goal was to give developers the tools to build responsible, innovative AI applications anywhere. Today, Gemma models have surpassed a billion downloads. 🎉 Over the past two years, developers have published”
https://x.com/Google/status/2090497445826322464
syncing to and from @github is now supported in ai studio build start from an existing repo, push and pull changes, and seamlessly work across environments
https://t.co/CbKuR8bPfm to get started”
https://x.com/GoogleAIStudio/status/2090149753312932026
This @GoogleDeepMind’s paper is really worth your time It’s on how to help Transformers not lose the right context on the way to the final answer. For this, the researchers introduce Recirculation: Normally, information passes through Transformer layers once. Recirculation”
https://x.com/TheTuringPost/status/2090583644964565215
Updates on GitHub support in @GoogleAIStudio: – we now support importing Github repos – we now support bi-directional GitHub sync (push / pull) – brand new UI support for force pushes, merges, etc Bi-directional push / pull took a while to land but excited it is here!”
https://x.com/OfficialLoganK/status/2090156520843657488
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