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- 🕳️ Is It the Prompt-Generated Worlds?
🕳️ Is It the Prompt-Generated Worlds?
LIMITED OFFER: 50% Off Google AI Pro Plan
Wendy
December 25, 2025
AI in 2025 got much faster. From AI-powered game worlds to models that work for hours without breaking, why the AI curve is bending up, why 2026 will be different?
What's on FIRE 🔥
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AI INSIGHTS
Game Gears has used AI during the development of ‘Aliens vs Zombies’
In the past few weeks, world models - AI systems that generate full 3D game environments from text - officially entered the gaming arena.
These are real tools game studios are already using to replace months of work with a few minutes of generation. FYI, you give the model a simple prompt, like “jungle temple level with lava traps and AI spiders”, it creates a full 3D playable space:
Fortnite introduced an AI Darth Vader NPC built by Google, ElevenLabs, Disney
Game Gears (dev of Aliens vs Zombies) said AI 4× their development speed
Runway launched their own world model in December
World Labs released Marble just last month
Basically: game engines become chatbots. But not everyone’s cheering. Six European game dev unions just called out AI adoption, saying it’s being forced on teams and worsens conditions.
If 2023 was the year of AI art and 2024 was the year of AI video, 2025–2026 is shaping up to be AI as full simulation engine.
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AI SOURCES FROM AI FIRE
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So please feel free to share your experiences with us, whether it’s about our content, advertisers, or anything we can improve. Your feedback helps us do better. We’re real human, not AI, we’re not perfect.
Once again, thank you so much for all the feedback and support ❤ Have a great day!
1. Nano Banana Pro control: One image to infinite camera angles in seconds. Learn how to keep your character perfect in every shot & turn one image into a pro video
2. Final list of 24 AI hacks that save you hours every day. We filtered the noise to give you 24 practical methods to save time on emails, cooking, and repairs instantly
3. 6 profitable AI Businesses to start in 2026: Simple, fast, and still underrated. This is not another tech list, 6 boring models actually make money
DAY 7: BEGINNERS DAILY AI PLAN
In day 7, we’ll talk about AI Agents. And the tool that scares people the most: n8n. I know a lot of you have probably seen n8n, or even opened it and panicked.
So let’s break that. n8n is actually one of the most powerful no-code tool to build real AI agents. It’s what lets you auto-post, auto-reply, auto-write, connect AI with Notion, Sheets, Gmail, Discord, Telegram… whatever you want.
BUT you won’t master it today, you can’t. Who can master anything that powerful by just watching a tutorial or following one example?
Today, you’ll build your foundation. So that when we go deeper later, from simple automations to advanced agents, your brain already “gets it.”
👉 A must-read. Bookmark it. Reread it.
TODAY IN AI
AI HIGHLIGHTS
🎁 Another gift before 2026, for a limited time, you can get from 50% off the Google AI Pro annual plan (Gemini 3 Pro, Nano Banana Pro, 2TB storage, plus share with 5 people). Claim it here.
🎙️ NotebookLM just teased an easter egg hinting at new British voices coming in 2026. Did you check their latest Featured Notebook? No? Here's a wee snippet.
🎨 Btw, Google shared 8 tips maximize their slide deck feature with Nano Banana Pro. We tried it ourselves, we must say it's quite impressive. Check out or save them here.
🧠 A Nobel Prize-winning physicist shared how to leverage AI without outsourcing your brain. If you're worried about over-relying on these tools, read his strategies.
🎅 The US Department of Homeland Security made an AI video of Santa as a deportation agent. Many called the "naughty list disgusting". Also, Saint Nicholas was from Turkey so... self-own? Here's the video if you're curious.
💰 Big AI Acquisition: Nvidia just bought Groq for $20B, nearly 3× its last $7B valuation, to grab its AI chip tech & team. Nvidia saw a real threat in Groq’s chips.
NEW EMPOWERED AI TOOLS
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AI BREAKTHROUGH
Just 12 months ago, Gemini 1.5 was the newest hot thing. OpenAI’s o1 was early in its “AI agent” journey. Multimodal was still clumsy. DeepSeek hadn’t dropped yet. Open-source was solid, but not scary.
Then, task length started rising. Now in 2025, it’s doubling every 7 months. Suddenly:
Multimodal understanding became reliable
Agent-style models act alone, for hours
Open-source caught up and leveled the field
When models could only handle short tasks, you stressed over prompts and output quality. But now, models can think for hours across full repos, the new problem is: planning, state, and trust.
You need an internal memory system for the AI, and proof of what it did and why over time. If the curve holds into 2026, AI will run workflows end-to-end.
When the biggest orgs see their best researchers saying “we can run multi-hour tasks now,” they stop caring about shiny demos, and start redesigning entire AI workflows.
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The AI Fire Team
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