Key AI Launches This Week
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AI Weekly Update – November 2025
tldr;
This week felt like the industry flipped a switch. Agentic development stepped into the spotlight, multimodal systems hit a new stride, and every major lab pushed forward on reasoning, automation, and creative tools. The way we build software, learn, research, and even shop is shifting fast.
Google DeepMind’s Antigravity Platform
I spent some time reading through DeepMind’s new Antigravity announcement, and it felt like watching the early sketches of a new kind of development workflow. Until now, AI coding tools acted like “helpers” inside an IDE. They gave hints, but I still handled the project. Antigravity flips that — it runs the entire cycle itself.
What stood out most was the closed-loop system: the agents research, plan, code, test, click around in a browser, scroll through a live dev server, and record their verification steps. It feels closer to handing a junior engineer a task and watching them execute end-to-end instead of prompting a chatbot.
The design comes with three layers:
- a multi-agent setup that handles tasks in parallel
- an editor that shows structured plans
- and an agent-controlled browser that acts like built-in QA
The benefit is obvious: less time on scaffolding, refactoring, or clicking through UI tests. More room for actual thinking.
Links:
https://thenewstack.io/antigravity-is-googles-new-agentic-development-platform/
Google Launches Gemini 3 – The Push Toward Agentic AI
The Gemini 3 release landed with a much louder impact than I expected. Google shipped it everywhere at once — the Gemini app, Search, AI Studio, Vertex AI, and the new Antigravity IDE. No slow rollout. Just a switch.
What changed most is how the model “acts.” Instead of plain text responses, Gemini 3 can generate full interactive UIs. A simple request like “plan my trip” becomes a custom page with sliders, cards, and layout choices.
Another shift is “vibe coding.” Instead of giving strict specs, you describe the feel of the app you want, and the model handles the architecture. It resembles project management more than programming.
Google also added a new “Gemini Agent” that handles multi-step tasks across apps. Booking flights, sorting emails, comparing dates on your calendar — the agent tries to carry the entire task until you approve the key steps.
Gemini 3’s reasoning mode, called Deep Think, pushes toward long-form problem solving, especially in math, logic, and geopolitics. Search now has a “Thinking” toggle that triggers this mode on complex questions.
It’s becoming clear that the model is shifting from a conversational tool into a worker.
Links:
Official Announcement: https://blog.google/products/gemini/gemini-3/
For Developers: https://blog.google/technology/developers/gemini-3-developers/
Benchmarks: https://beebom.com/google-unleashes-gemini-3-pro-the-new-benchmark-for-ai-intelligence/
Community: https://www.reddit.com/r/Bard/comments/1p0c1mn/375_in_humanitys_last_exam/
Meta Releases Segment Anything Model 3 (SAM 3)
Meta pushed forward on vision models with SAM 3, and the biggest shift is that it no longer depends on fixed label sets. You can type something like “the striped red umbrella” or give an image example, and the model isolates the exact object.
The performance jump is large — roughly double earlier systems — and the prompt response time is quick enough to feel live.
Meta also introduced the Segment Anything Playground, which makes the model accessible to non-technical creators and editors. SAM 3D is another interesting step, rebuilding 3D objects from a single image, which could feed into AR, research, and film work.
The model supports new datasets, wildlife tracking projects, and even ocean exploration. Meta also paired human reviewers with Llama-powered assistants for much faster annotation, which speeds up future releases.
For everyday users, SAM 3 shows up inside Marketplace’s “View in Room” and Instagram’s editing pipeline. For creators, applying effects to a single object in a video becomes almost a one-click task.
Link:
https://ai.meta.com/blog/segment-anything-model-3/
Google NotebookLM Adds Richer File Support and Research Tools
NotebookLM got a major update. It now reads Sheets, Word files, and images, making it feel closer to a personal research analyst. Early pilots showed faster insight generation, and Google is expanding support across multiple regions.
For people who work with mixed document sets — spreadsheets, PDFs, images — the upgrade gives the tool a more practical role instead of being a text-only summarizer.
Link:
https://vavoza.com/the-biggest-ai-news-and-tech-updates-today-on-november-17-2025-vz5/
