Genspark has released a new AI browser that gives you access to:

- 169 open source models that run LOCALLY
- Automation of browsing and workflows
- Agents on any page

And much more.

Available on Mac and Windows (use cases below) 1. Local on-device models

@genspark_ai browser is basically one of the fastest (and free) way to use open weights models locally so you can chat offline and privately:

- Download genspark.ai/browser for your OS
- Click on the button on the new tab page “On-Device Free AI”
- Choose the model you prefer

I recommend Qwen 3 4B Instruct or Gemma 3n 2B if you have a less powerful laptop.

And you can start chatting offline!

Google has published AI Edge Gallery on the store 🔥

So you can do everything 100% locally on your phone:

- Upload images and ask questions
- Transcribe/translate audio files
- Summarize, rewrite, code
- Engage in multi-turn conversations

Steps to use it below (open source): 1. Download Google AI Edge Gallery

- Go to the Play Store
- Search for “Google Al Edge Gallery”
- Download the app shown in the screenshot below

You can combine Nano Banana with a video model to generate impressive results!

It literally takes just a few minutes.

Steps of the workflow below 1. Nano Banana

Import your original image into Gemini App or AI Studio.

Then simply ask it to transform the room (or other object) into an isometric view.

Repeat the process for your second image.

Ok AI video gen is evolving really fast

You can now set the EXACT start and end frames before generating.

This means you can literally control your entire video with just 2 images and let AI fill the video in between.

Steps to do it using Kling 2.1 You just need 2 images:

- First frame of your scene (where the video begins)
- Last frame (where it ends)

In Kling 2.1, select "AI Video Generator" then "Image to video."

1. Upload your start image then your end image
2. Type a prompt if you wish
3. Click "Generate" and voilà!

Google has released a new open source model...

That runs on just 0.5 GB of RAM. Yes.

You can fine-tune it for free to make it better than the giant models at your tasks.

Quick steps to fine-tune Gemma 3 270M below We're going to use the free Google Colab from Unsloth.

Steps:

- You've a general-purpose base model
- You want to teach it to work like you (eg. newsletter writing)
- Show it examples of past work (=training data)
- It'll learn your style, tone, formatting...

Link at the end

Gemini released the best AI tools for learning

You can now learn anything by using:

- Step-by-step guided learning
- Generate unlimited quizzes and flashcards
- Understand complex things w/ visuals and YT videos

Suitable for any topic you want to explore.

More below 1. Quiz generation

Gemini can now generate interactive quizzes on any topic.

- Start a new conversation
- Enter a prompt such as: “Generate a quiz to learn...”
- Gemini generates 10 questions

At the end, you can choose to generate new questions, analyze your weak points, or create flashcards.

OpenAI has finally released GPT OSS 20B!!

This is probably the most powerful model you can run locally on a laptop.

→ Only 3.6B active parameters
→ Adjustable "Reasoning Effort"
→ Works with 16GB of RAM!

Quick steps to use it 100% free and offline: You can run it using LM Studio:

1. Download LM Studio for your OS
(Windows, macOS or Linux)

2. In the search tab, type "GPT OSS 20B"

3. Download the recommended model

Qwen has just released a model on par with GPT-4o...

And you can run it locally easily 🤯

Yep. GPT-4o level AI running offline on a laptop.

- Fully open source
- Only 3B active parameters
- 262k context length natively

Quick steps to run it on your machine and details below 1. Download LM Studio and the model

- Install LM Studio for your OS (macOS, Windows, Linux)
- In the search tab type "Qwen3 30B A3B 2507"

I highly recommend the versions quantized by Unsloth, especially those marked "UD".

They're REALLY efficient. E.g.: Q4_K_XL Qwen3 30B A3B Instruct 2507 UD

Then just click on the download button.

Wait so Alibaba Qwen has just released ANOTHER model??

Qwen3-Coder is simply one of the best coding model we've ever seen.

→ Still 100% open source
→ Up to 1M context window 🔥
→ 35B active parameters
→ Same performance as Sonnet 4

They're releasing a CLI tool as well ↓ You can use the model for free on Qwen Chat:

1. Create a free account
2. Select Qwen3-Coder in the list
3. You can also upload files (codebase)

Wait NVIDIA has just released new SOTA open source models?!

Available in 4 sizes 1.5B, 7B, 14B and 32B that you can run 100% locally.

- OpenReasoning-Nemotron
- SOTA scores across many benchmarks
- Tailored for math, science, code

How to run it on your laptop and details below You can run them using LM Studio for free:

1. Download LM Studio for macOS, Windows or Linux
2. In the search tab, type "openreasoning"
3. Install the version you want

I suggest the 7B (very good for its size) from Bartowski in the Q4_0 quantization if you're using an ARM processor like me.

Grok 4 is excellent for vibe-coding

You can give it your entire codebase in 5s to add features or debug.

→ No need for Cursor
→ Works directly on the Grok site

Quick steps below: 1. Generate command

To export your codebase Grok 4 can generate the command that you can reuse over and over again.

Prompt template:

"Give me a shell command I can use in my [IDE Name], with my [Project Type, eg. Node js] to download the entire codebase in a single text file but without the node_modules, package-lock.json, or hidden files/folders, just the really useful ones."

Gemini CLI can automate your computer using MCP 🔥

Add Windows MCP (or macOS MCP) to Gemini CLI and you can tell it what to do autonomously.

Gemini then takes control of your entire system to achieve the goal you've set.

Links below As a reminder, you have 1'000 free requests PER DAY using Gemini CLI!

Windows MCP used → github.com/CursorTouch/Wi…

MacOS MCP (never tried) → github.com/baryhuang/mcp-…

You can add a local "=AI" formula in Excel

Excel can then process data using a free and open-source AI model like Gemma.

This means that it understands what's in the cells and returns a tailored response based on your prompt even offline.

Steps to set it up and examples below Keep in mind that everything runs locally, even the AI model (LLM): no remote servers or APIs!

EXAMPLE 1 - Categorize data

Formula:
=AI("Is this a basketball or baseball team? Just write one word: Basketball or Baseball. Team name: ",A1)

Finally! Google has just released Gemini CLI an AI agent that brings Gemini directly into your terminal

→ 1,000 free requests PER DAY
→ Open source

You can use it as a coding agent, automate tasks, use MCPs, generate videos & images, etc.

Steps to install and use it: 1. Install Node

- Go to
- Install the version for your OS

The easiest way is to download a prebuilt version for Windows or macOS (see video). nodejs.org/en/download

Google Jules is the most underrated vibe coding tool

You can start a project with Replit and then assign tasks to Jules to perform autonomously 🔥

1. Replit Agent create the project
2. Create a GitHub repo for your "code"
3. Link Jules (free) to this repo, done!

Steps below: 1. Link Replit and GitHub

After creating your project with Replit Agent:

- Click on the icon in the left-hand column
- Select "Git"
- Create a new repo or link an existing one

Note: Replit offers to create a repo if you don't have one.

All you need is a free GitHub account.

Google has released an open source project for building fullstack agents with Gemini 2.5 🔥

You can run and modify it with Replit to create your own agent.

By default the agent has:

- A full conversational interface
- A backend for an AI-powered research

Steps to use it below: 1. Import in Replit

- Go to Replit.com
- Select the import option then GitHub
- Click on import and paste the link of the repo:

github.com/google-gemini/…

DeepSeek has just released a powerful new 8B model 🔥

This means you can run it locally and for free on a laptop with zero limitations.

You just need LM Studio and 4Gb of RAM.

The few quick steps below: 1. Download LM Studio (free)

Go to and download the version for your OS.

Available for:

- Windows (x86/ARM)
- macOS (M series)
- Linux lmstudio.ai

This AI agent is a powerful data analyst

It can search, process, complete and visualize your data in a single chat.

You can import files or start from scratch.

Step-by-step process with Genspark: 1. Import or search data

Go to and select “AI Sheets”.

You can either :

- Import your files
- Search for data

In the 2nd case, the agent aggregates and formats the data according to your criteria. genspark.ai

Google has quietly released AI tools for language learning

You can access these 3 tools for free:

1. Find vocabulary for any situation
2. Learn idioms from a generated conversation
3. Talk to the camera about your surroundings

Details and access: 1. Tiny Lesson

Choose your language and a situation.

Gemini will then generate customized vocabulary, phrases and tips for you to listen to and learn.

AI Agents are becoming extremely capable

Among other things, in a single prompt you can:

- Search for information
- Compile insights
- Create visuals
- Generate slides

Genspark’s Super Agent manages all the tools by itself.

(More below) You can use several agents for a single request.

Go to the "All Agents" section of :

→ Deep Research
→ AI Slides
→ Call For Me (yes!)
→ Agentic Fact Check
→ Agentic Data Table

I'll show you a few combos possible using @genspark_ai ↓ genspark.ai

Anthropic has released a full guide on agentic coding

There are 6 points to maximize the efficiency of Claude Code and LLMs to build.

Everything you need to know below

(And link to the official blog post) 1. Customization & optimization

- Create CLAUDE .md files to document workflows, commands, and coding conventions.

- Curate a list of allowed tools for more efficient automation.

- Install the GitHub CLI for better GitHub integration.