Good morning, AI enthusiast.

Google has unveiled its most capable AI model to date, Gemini 3 Pro, and is pushing it directly into its core products. The new model is already setting performance records and powering a new suite of agent-based tools.

By integrating its most powerful model directly into its core products from day one, Google is leveraging its massive distribution to reshape user workflows. But will this ecosystem-first approach be enough to challenge the dominance of standalone chatbot interfaces?

In today’s AI recap:

• Google's new Gemini 3 Pro model

• Anthropic’s massive new valuation

• Growing fears of an AI bubble

• 8 trending AI Tools

Google's New Brain

The Recap: Google has released Gemini 3 Pro, its most capable AI model to date, and is immediately integrating it into core products like Search and GitHub Copilot. The new model sets records on major benchmarks and powers a new suite of agent-based tools.

Unpacked:

• The model sets a new performance record with a score of 37.5% on the Humanity’s Last Exam benchmark, a test designed to challenge even the most advanced AI with expert-level reasoning problems.

• Google also launched a new agentic platform called Antigravity, which gives developers an AI partner that can autonomously plan and execute complex coding tasks across an editor, terminal, and browser.

• Gemini 3 Pro is rolling out now across the Gemini app, AI Mode in Google Search, and is in public preview for GitHub Copilot Pro, Business, and Enterprise users.

Bottom line: Google is integrating its most powerful model directly into its core products on day one, leveraging massive distribution to put advanced AI into existing user workflows. This strategy signals a major offensive to make its ecosystem, not just a standalone chatbot, the primary interface for generative AI.

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

AI Tools of the Day

1. 🎭 Metaphysic.ai – Generate unbelievably photorealistic digital humans and deploy them in hyperreal synthetic videos that push the boundaries of creative content.

2. 🔗 LangChain – Build and deploy powerful, context-aware applications by composing language models with your own private data sources and external APIs.

3. 📚 DeepDocs – Deploy a GitHub AI agent that automatically keeps your API documentation, tutorials, and guides perfectly in sync with every code commit.

4. 🎯 AudienceLab – Instantly validate your product ideas by testing them against AI-powered customer twins that simulate real audience feedback in minutes.

5. ✨ Pika – Bring your creative concepts to life by generating and editing expressive videos using simple text prompts, images, or existing video clips.

6. 🎨 Facet.ai – Command a real-time generative canvas to create professional-grade imagery with precise, content-aware control over every element in your scene.

7. 🗺️ Mapify – Instantly transform dense YouTube videos, PDFs, or long articles into clear, interactive visual mind maps for rapid learning and understanding.

8. 💻 Refact AI – Supercharge your development workflow with a smart coding assistant that supports on-premise deployment for maximum privacy and customization.

Explore the Best AI Tools Directory to find tools that will 10x your output 📈

Anthropic's $350B Moment

The Recap: AI startup Anthropic’s valuation has soared to around $350 billion after securing massive new investments from Microsoft and Nvidia, deepening its ties with two of the biggest players in the AI hardware and platform space.

Unpacked:

• This partnership is built on compute, with Anthropic committing to purchase $30 billion of Azure capacity and collaborating with Nvidia to optimize its models for future chip architectures.

• For Microsoft, this is a clear strategic move to diversify its AI partnerships beyond its significant investment in OpenAI, giving enterprise customers more choice in frontier models.

• The deal makes Anthropic’s Claude the only major frontier model available on all three top cloud platforms, cementing its multi-cloud strategy to reach the widest possible customer base.

Bottom line: The huge capital and compute commitments show the AI race is consolidating around a few heavily-backed players with access to immense infrastructure. This partnership validates Anthropic's position as a top contender and intensifies the competitive landscape for OpenAI.

AI Training

Record Once. Swap Any Character. UGC Ads with WAN 2.2

The Recap: In this video, I'll show you how I create unlimited UGC ad character variations using the Wan 2.2 video model. Use this work stream to iterate on winning ad concepts for your brands!

P.S. We also launched a free AI Automation Community for those looking to build and sell AI Automations — Come join us!

The AI Bubble Question

The Recap: High-profile investors are raising red flags about AI valuations after a regulatory filing revealed Peter Thiel’s fund and SoftBank both sold their entire stakes in chipmaker Nvidia. This fuels the growing debate over whether the industry is in a speculative bubble.

Unpacked:

• Peter Thiel’s hedge fund sold all 537,742 of its shares in the third quarter, while Japanese conglomerate SoftBank also fully liquidated its holdings.

• The moves stem from different motivations, with SoftBank reportedly raising cash for an OpenAI investment and "Big Short" investor Michael Burry betting against the sector.

• The caution is spreading, as Google's CEO warns no company is immune to a downturn and JPMorgan’s Vice Chairman predicts a potential correction in AI valuations.

Bottom line: These high-stakes exits signal a market shift from pure hype toward scrutinizing AI's tangible returns. The long-term vision for AI remains strong, but the road ahead for investors may include more volatility.

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The Shortlist

Cambridge selected "parasocial" as its 2025 Word of the Year, highlighting the rise of one-sided relationships people form with celebrities and AI companions.

Google's CEO suggested an AI could perform his job one day, calling the role one of the "easier things" for an advanced model to handle.

The Knot reports that 36% of couples now use AI for wedding planning, up from 20% last year, as AI integrates into modern relationships from dating to divorce.

Signing off,

David, Lucas, Mitchell — The Recap editorial team