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  • 🦁 Google's Share Grab to GPT-Panic!

🦁 Google's Share Grab to GPT-Panic!

Sam Wants You to Watch Altman (Pay: $555K)

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Wendy
December 29, 2025

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Plus: Powerful & Proven 7-Question Life Audit to Make Your 2026 Plan 99% Successful (Must-read before you plan for 2026, Free to read)

Gemini just spiked 13% in a year and 4.5% in a single month while ChatGPT dropped hard. Plus, we break down Altman's $555K job post, and China's AI crackdown.

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AI INSIGHTS

geminis-market-share-surge-significantly

In just one month, Gemini’s market share jumped from 13.7% to 18.2%. That’s a +4.5% leap in 30 days. Meanwhile...

ChatGPT dropped from 87.2% to 68.0%, a full 19-point drop (that’s why they were in “code red” status). So what’s causing the Gemini rise? → It’s distribution. Gemini shows up where users already are:

  • Inside Google Search + On Android phones + Embedded in Chrome

  • And now in Gemini Advanced + Flash

That means every casual AI query becomes a counted web visit. People don’t need to “go to” Gemini, it just appears. That’s pretty smart though. What about ChatGPT?

It’s still huge, we can’t deny that. Losing share doesn’t mean losing users. The denominator (total GenAI web visits) is exploding.

Microsoft Copilot? This one is kinda flat. It dipped slightly from 1.5% to 1.2%. But don’t read too much into that. Most Copilot usage is native, inside Word, Excel, Teams. That activity doesn’t always show up in public web traffic.

So this is not a full verdict on its success (especially in enterprise). If ChatGPT wants to keep the crown, it needs to live where users are, too.

PRESENTED BY LEVANTA

The Future of Shopping? AI + Actual Humans.

AI has changed how consumers shop, but people still drive decisions. Levanta’s research shows affiliate and creator content continues to influence conversions, plus it now shapes the product recommendations AI delivers. Affiliate marketing isn’t being replaced by AI, it’s being amplified.

AI SOURCES FROM AI FIRE

🔥 Ep 39 Tooldrop: Let Claude See, Click, Type, and Navigate in Your Browser

Today we explore and test 5 AI tools that decodes any YouTube channels in any niche & turns deep insights into blueprint you can follow! Or AI tracks the products you want & gets notified when prices drop.

→ Get your full breakdown here (no hidden fee)!

1. AI Automation agencies are dying? Here’re 11 models winning in 2026. Automation is now cheap. Here’s the pivot to outcomes, audits, and adoption

2. If you want to be a millionaire in 2026, just copy these AI CEOs (thank me later). Why speed, user signals, and constant iteration now matter more & how to build systems that compound while you work

4. ChatGPT hacks: 27 "God Mode" features to make you so productive! You are using AI wrong. Save 20+ hrs a week with these simple, actionable tips inside

DAY 9: BEGINNERS DAILY AI PLAN

create-your-first-ai-agent-with-n8n

After day 8, you already know 17 n8n core nodes that power 80% of AI automations right? Now, I’ve been waiting for this lesson.

We are moving past simple "If This Then That" logic. Today, we are building AI Agents, digital workers that don't just follow rules, but actually make decisions.

I love Zapier and Make, but they get expensive fast, and they struggle with complex AI reasoning. n8n is the "pro" choice.

If you want to stop pasting things into ChatGPT and start building systems that run while you sleep, this is the most important tutorial you will read all week.

Today, we’ll build your very first agent for handling tasks like creating YouTube content, managing social media, handling customer support, analyzing data, and almost anything else you can imagine.

TODAY IN AI

AI HIGHLIGHTS

💡 New AI tools means new AI tips. Google dropped 40 of their most helpful AI tips from 2025, everything from Gemini to NotebookLM covered. Review the full list here.

📲 New to ChatGPT app integrations? Here's how to connect DoorDash, Spotify, Uber,...and more. You can automate tasks with a quick setup guide plus privacy tips.

🚨 Sam Altman posted a job listing (here with $555K salary) to plan for advanced AI. It might not fit you, but it's the best to see what skills big tech needs from new roles.

🎥 Do you believe this 7-minute movie was made entirely by one person using AI, and it's blowing up online. Watch the full 100% AI-generated short here & tell me, is it AI?

🇨🇳 China is cracking down on AI that feels "too human." It just issued draft rules that force apps to intervene if users show signs of addiction. Read more from this report.

💰 Big AI Acquisition: Meta acquired Manus AI, known for agents that beat OpenAI DeepResearch. Meta also backed Scale AI as it ramps up AI across all products.

NEW EMPOWERED AI TOOLS

  1. 🧼 Sliq cleans your data, corrects errors, and gets analysis-ready data back in minutes

  2. 🔐 Okara lets you chat privately with Kimi, Qwen, DeepSeek,… without losing context

  3. 🎮 Gambo turns your simple prompt game idea into a real game that earns from day one

  4. ⭐ DigiFlash is the fastest WordPress theme with 100 PageSpeed score, 3x faster than traditional themes

  5. ⚒ AdCrafty lets brands create hyper-realistic UGC videos, testimonials, photos & product demos

  6. 💻 InstallKit: select apps and generate a brew install command. Install your Mac essentials faster

  7. 🧾 GUD.QUEST lets you share or read what people are asking on ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Meta AI

AI BREAKTHROUGH

deep-dive-into-memory-in-the-age-of-ai-agents

Have you ever felt like "short-term vs. long-term memory" doesn’t cut it when you're building agents? Now it's official.

A massive new paper just dropped, instead of the usual vague talk, it gives us a full-blown taxonomy of agent memory. Most devs still treat memory as “context window stuffing” or “RAG over docs.” This paper says: stop that.

Instead, it proposes 3 lenses for understanding and designing agent memory:

  • Forms (what memory is):

    ➤ Token-Level Memory: Stuff you hold temporarily

    ➤ Parametric Memory: Stuff baked into model weights or adapters
    ➤ Latent Memory: Hidden state objects like runtime embeddings

  • Functions (what memory does):

    ➤ Factual: Ground truths, domain knowledge

    ➤ Experiential: Past episode logs or environment interaction history

    ➤ Working: Temporary scratchpad for live tasks or chains

  • Dynamics (how memory changes): Memory is now a control problem

It basically reads like a memory builder’s checklist, what to store, where to store it, and how to grow it over time. RAG isn’t enough. AI memory is becoming its own system.

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