Another Crazy Day in AI: Google Releases Most Advanced Model Yet
- Wowza Team
- Nov 19, 2025
- 4 min read
Updated: Dec 1, 2025
Hello, AI Enthusiasts.
Is your week keeping up with AI? Because it’s moving fast.
Gemini 3, Google’s newest AI brainchild. It’s got reasoning, vision, and conversation all rolled into one… and yes, it might make last year’s models look a little quaint.
Meanwhile, researchers are mapping out how rural K–12 schools can integrate AI responsibly, designing strategies that meet local needs and prepare teachers for the classroom of the future.
And for those curious how AI works in the wild, digitalNow 2025 delivered. Nearly 300 leaders shared examples of moving AI from concept to tangible results.
Who knows what tomorrow’s AI headlines will bring?
Here's another crazy day in AI:
Inside Gemini 3 and what it promises
Rural K–12 schools get AI integration support
Associations move from AI theory to practice
Some AI tools to try out
TODAY'S FEATURED ITEM: A Look at Google's Gemini 3
Image Credit: Wowza (created with Ideogram)
How should we evaluate progress when new models focus heavily on reasoning, context and decision-making?
Google just released Gemini 3, their most advanced AI model to date. The announcement came from Sundar Pichai (CEO of Google and Alphabet), Demis Hassabis (CEO of Google DeepMind), and Koray Kavukcuoglu (CTO of Google DeepMind) on The Keyword. This release caps nearly two years of development since the original Gemini launched. The company reports that their Gemini app now reaches over 650 million monthly users, while AI Overviews serves 2 billion people each month. According to Google, Gemini 3 combines advanced reasoning, multimodal understanding, and agentic capabilities in ways previous versions couldn't match.
Key points to note:
Gemini 3 is designed to handle multi-step reasoning tasks and more complex problem-solving.
Longer inputs are used to test whether the model can maintain context over extended interactions.
Evaluations include scenarios with incomplete or ambiguous information to see how it navigates uncertainty.
Some assessments focus on the model’s ability to explain the reasoning behind its answers.
Collaboration across research teams is helping establish more consistent standards for evaluating advanced capabilities.
The benchmark numbers look impressive, but they're measuring performance in controlled settings. Real-world use is messier—your requests aren't always clear, tasks don't fit neat categories, and you often need help with something the model hasn't been specifically tested on. Google shared examples like translating handwritten family recipes, analyzing sports videos for technique tips, and turning research papers into interactive study guides. They also launched Google Antigravity, where AI agents can plan projects, write code, and check their work independently. The company ran safety evaluations with internal teams and external organizations like the UK AISI and Apollo before release. These applications sound genuinely useful, though launch examples tend to show things at their best rather than their average.
What happens next matters more than what's in the announcement. As people actually start using Gemini 3 for their own projects and problems, we'll see where it delivers and where it doesn't. Google's focusing on better reasoning and contextual understanding, with agents that can handle complete workflows instead of just answering individual questions. That could make a real difference in how we interact with AI, or it might turn out that simpler, more predictable tools work better for most tasks. The gap between a polished demo and something you'd trust to handle important work on its own is often wider than it looks at launch. Time and regular use will show whether Gemini 3's approach actually solves problems people have been struggling with.
Read the full article here.
OTHER INTERESTING AI HIGHLIGHTS:
Rural K–12 Schools Get AI Integration Support
/News Staff, on Government Technology
Washington State University (WSU) researchers are developing an AI integration road map for rural K–12 schools, supported by an $82,500 grant from Microsoft. Assistant professors Tingting Li and Peng He will lead the Rural AI for Societal Equity (RAISE) project, working with educators and technology developers to design strategies grounded in local needs. The six-month initiative will study teacher-AI interactions, conduct workshops, and gather insights from administrators to close gaps in AI guidance for rural districts. The goal is to create a model that other states can adopt to responsibly implement AI in education.
Read more here.
Associations Move from AI Theory to Practice
/Hosts Amith Nagarajan and Mallory Mejias, Sidecar Sync Podcast
A recent episode of Sidecar Sync captures key insights from digitalNow 2025 in Chicago, where nearly 300 association leaders shared how AI is moving from concept to real-world application. Hosts Mallory Mejias and Amith Nagarajan explore practical examples—from AI chatbots reducing support calls to strategy frameworks like the St. Louis Arch that align boards and staff. The discussion emphasizes staff education, generational differences, bold experimentation, and youth perspectives, highlighting how associations are maturing in their AI adoption to improve operations and member services.
Check it out here.
SOME AI TOOLS TO TRY OUT:
That’s a wrap on today’s Almost Daily craziness.
Catch us almost every day—almost! 😉
EXCITING NEWS:
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