In partnership with

What type of coffee does AI prefer?

Java.

Grab your cup, and let’s get started! ☕️

⭐️ Today’s Feature

The IT strategy every team needs for 2026

2026 will redefine IT as a strategic driver of global growth. Automation, AI-driven support, unified platforms, and zero-trust security are becoming standard, especially for distributed teams. This toolkit helps IT and HR leaders assess readiness, define goals, and build a scalable, audit-ready IT strategy for the year ahead. Learn what’s changing and how to prepare.

👆 (FryAI earns when you visit featured links. This helps keep the newsletter free.)

This link leads to one of the most interesting things I’ve seen in AI recently.

🛠️ NEW AI TOOLS 🛠️

🗣️ Sun

A collaborative API for voice agents.

🎓 Brilliant

A world-class AI tutor for your kids.

Image: Google

What happened? Google introduced Gemma 4 12B, a new multimodal AI model built to run powerful AI tasks directly on laptops instead of relying on large cloud systems.

Want the details? Gemma 4 12B is designed to handle text, images, and audio in a simpler and more efficient way than many other multimodal models. Instead of using separate systems to process images and sound before sending them to the language model, it feeds those inputs more directly into the model itself. Google says this reduces memory use and speeds things up. The model is also small enough to run locally on devices with about 16GB of memory, while still offering strong reasoning abilities close to larger models. It also supports offline audio tasks like transcription, formatting, and translation.

Why should you care? Localized AI (AI that runs on-device) is the big trend right now. This is important because it could make advanced AI more accessible, private, and affordable. People may be able to use strong AI tools on their own laptops without always sending data to the cloud. This could improve safety and control over AI usage and data.

Your best prompts are the ones you'd never bother typing.

The detailed ones. The ones with examples and edge cases. Wispr Flow lets you speak them instead — clean, structured, ready to paste into any AI tool. Free on Mac, Windows, and iPhone.

What happened? Nvidia introduced LongLive-2.0, a new AI video model that can generate long, real-time videos more quickly while using less memory.

How does it work? LongLive-2.0 is built to solve a big problem in AI video generation: making longer videos without slowing down too much or losing visual quality. Older systems often create strong results but are too slow, while faster systems can struggle to stay consistent over time. LongLive uses a frame-by-frame approach that helps it keep track of what is happening from one moment to the next. It also refreshes its memory when prompts change, which lets users guide the video in real time without causing major visual jumps.

Why does this matter? This could make AI video tools much more practical. Faster, cheaper, and more interactive video generation could help creators, developers, and businesses make longer videos on less powerful hardware.

⭐️ Most people stay at the surface … but the future rewards those who dig deeper.

This free, daily FryAI email keeps you informed.

Inside the Kitchen gives you the edge.

🚨 FOR A LIMITED TIME ONLY: GET YOUR FIRST MONTH FREE! 🚨

📲 SOCIAL MEDIA POST OF THE DAY:

🤖 HAS AI REACHED SINGULARITY?

💬 Need better prompts?

You may have realized by now that AI is only as good as your prompt.

That’s why we offer professional AI Prompt Packs: ready-to-use prompts that help you stop staring at the blinking cursor and start getting real value from your favorite chatbot.

What do you think of today's newsletter?

(Please leave a comment)

Login or Subscribe to participate

✍️ Meet the Author:

Hi — I’m Hunter, a PhD candidate whose work has appeared in major academic journals and popular tech outlets. I founded FryAI to make staying ahead of AI clear, accessible, and fun.

Recommended for you