Google’s smartest AI model is finally here

Today, we’re looking at Google’s biggest leap yet in the AI race: launching Gemini 3, a model built not just to chat but to think, plan, and take action. It’s a flex of technical power and reach, signaling Google’s ambition to make AI both smarter and deeply personal. We’re also looking at Microsoft’s most strategic AI infrastructure to monitor and manage every AI agent running inside a company. It’s a quietly powerful play that puts Microsoft at the center of AI governance right as agents start running the show.

In today’s post:

• The AI arms race continues: Gemini 3

• Meet Agent 365: your new AI traffic controller

• UW just put $10M behind the future of AI

What’s Trending Today

UPGRADE

Gemini 3 just changed the game

Google just unveiled Gemini 3, its most advanced AI model to date. It’s a massive leap forward in intelligence, reasoning, and real-world usefulness.

Here’s everything you need to know:

• Gemini 3 Pro is now live, outperforming all previous models on major AI benchmarks.

• It aced tests like Humanity’s Last Exam and GPQA Diamond, showing PhD-level reasoning.

• With Gemini 3 Deep Think mode, it pushes even further solving novel problems with code execution.

• You can now use it to learn, plan, or build anything across Google apps and developer tools.

• New features include better understanding of video, images, and audio even handwritten notes.

• Developers get agentic workflows via Google Antigravity, where AI agents handle full-stack tasks.

• And for everyday users, Gemini can now analyze emails, generate training plans, and more right from your phone.

Gemini 3 isn’t just an AI upgrade, it’s a shift in how we interact with intelligence. The idea of “bringing any idea to life” sounds lofty, but with this model, it’s getting harder to call it hype. The real question is: how will you use it?

From Hype to Production: Voice AI in 2025

Voice AI has crossed into production. Deepgram’s 2025 State of Voice AI Report with Opus Research quantifies how 400 senior leaders - many at $100M+ enterprises - are budgeting, shipping, and measuring results.

Adoption is near-universal (97%), budgets are rising (84%), yet only 21% are very satisfied with legacy agents. And that gap is the opportunity: using human-like agents that handle real tasks, reduce wait times, and lift CSAT.

Get benchmarks to compare your roadmap, the first use cases breaking through (customer service, order capture, task automation), and the capabilities that separate leaders from laggards - latency, accuracy, tooling, and integration. Use the findings to prioritize quick wins now and build a scalable plan for 2026.

Get the Full Report

LAUNCH

Microsoft just launched a control tower for AI agents

At its Ignite conference, Microsoft unveiled Agent 365, a new system designed to help companies manage the growing swarm of AI agents inside their organizations.

Here’s everything you need to know:

• Agent 365 gives IT admins full visibility into AI agents across Microsoft, Adobe, Workday, ServiceNow, and more.

• It tracks which agents are being used, how much time they’re saving, and whether they pose security risks.

• Admins can approve, block, or analyze agents just like provisioning employee access.

• The goal: prevent shadow AI use and keep agent activity auditable and under control.

• Companies like EY are already adopting it to replace their internal agent catalogs.

• Microsoft is pitching it as essential infrastructure in the agentic era and other vendors like Okta are close behind with similar tools.

• Early access is available via Microsoft’s Frontier program, with pricing details still TBD.

The agent wave is happening faster than most companies expected. Tools like Agent 365 signal a shift from building cool demos to establishing real governance. This is less about hype, more about making AI usable at scale without losing control.

INVESTMENT

University of Washington launches major AI initiative with Simonyi gift

The University of Washington just took a big step into the AI era with a $10 million donation from Charles and Lisa Simonyi to fuel a new campus-wide initiative.

Here’s everything you need to know:

• The initiative, AI@UW, will focus on responsible, cross-disciplinary AI development and education.

• Charles Simonyi, a key figure behind Microsoft Word and Excel is backing the effort with his wife Lisa.

• UW President Robert J. Jones calls it a “foundational investment” for human-centered AI innovation.

• Noah Smith, Amazon Professor of Machine Learning, will lead the effort as UW’s first Vice Provost for AI.

• Plans include a new SEED-AI grant program to support teaching-related projects across departments.

• The initiative will create new student scholarships, bolster computing resources, and form an AI governance committee.

• AI literacy will become part of the undergraduate experience, aiming to shape how future leaders think about the tech.

This is what a long game looks like. While the rest of the world rushes to build AI tools, UW is investing in how AI is taught, governed, and integrated into everyday life. Ten million dollars won’t solve AI’s challenges but it could shape who’s equipped to.

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