Uploaded February 2026 | Updated September 2026, 2 weeks ago
How to Install Ollama on macOS (M1, M2, M3, M4, M5) | MacBook Pro, MacBook Air & iMac
In this step-by-step tutorial, you’ll learn how to install Ollama on macOS, including full support for Apple Silicon Macs (M1, M2, M3, M4, and M5). Whether you’re using a MacBook Pro, MacBook Air, or iMac, this guide will help you download, install, and run AI models locally on your Mac.
Ollama allows you to run powerful large language models (LLMs) directly on your computer without relying on cloud services. Running AI models locally gives you better privacy, faster response times (depending on hardware), and full control over your environment. This makes Ollama perfect for developers, AI enthusiasts, students, and anyone interested in local AI workflows.
In this video, we’ll cover:
• Downloading Ollama for macOS
• Installing Ollama on Apple Silicon (M1, M2, M3, M4, M5)
• Verifying installation using Terminal
• Running your first AI model locally
• Pulling and managing models
• Fixing common installation issues
You’ll also learn how to check your Mac’s chip (Intel vs Apple Silicon) and ensure you’re installing the correct version for maximum performance. We’ll walk through using Terminal commands to confirm that Ollama is installed correctly and demonstrate how to run a model for the first time.
This tutorial works for:
• MacBook Pro
• MacBook Air
• iMac
• macOS with Apple Silicon processors
By the end of this video, you’ll have Ollama fully installed and ready to run AI models locally on your Mac. This is an excellent starting point if you want to explore offline AI, experiment with LLMs, or build AI-powered applications directly on macOS.
If you found this tutorial helpful, don’t forget to like, subscribe, and share it with others interested in running AI models locally on macOS.
#Ollama #MacOS #AppleSilicon #M1Mac #M2Mac #M3Mac #M4Mac #M5Mac #LocalAI #LLM #AIModels #MacBookPro #MacBookAir #iMac #ArtificialIntelligence #AITools #TechTutorial
How to Install Ollama on macOS (M1, M2, M3, M4, M5) | MacBook Pro, MacBook Air & iMac
In this step-by-step tutorial, you’ll learn how to install Ollama on macOS, including full support for Apple Silicon Macs (M1, M2, M3, M4, and M5). Whether you’re using a MacBook Pro, MacBook Air, or iMac, this guide will help you download, install, and run AI models locally on your Mac.
Ollama allows you to run powerful large language models (LLMs) directly on your computer without relying on cloud services. Running AI models locally gives you better privacy, faster response times (depending on hardware), and full control over your environment. This makes Ollama perfect for developers, AI enthusiasts, students, and anyone interested in local AI workflows.
In this video, we’ll cover:
• Downloading Ollama for macOS
• Installing Ollama on Apple Silicon (M1, M2, M3, M4, M5)
• Verifying installation using Terminal
• Running your first AI model locally
• Pulling and managing models
• Fixing common installation issues
You’ll also learn how to check your Mac’s chip (Intel vs Apple Silicon) and ensure you’re installing the correct version for maximum performance. We’ll walk through using Terminal commands to confirm that Ollama is installed correctly and demonstrate how to run a model for the first time.
This tutorial works for:
• MacBook Pro
• MacBook Air
• iMac
• macOS with Apple Silicon processors
By the end of this video, you’ll have Ollama fully installed and ready to run AI models locally on your Mac. This is an excellent starting point if you want to explore offline AI, experiment with LLMs, or build AI-powered applications directly on macOS.
If you found this tutorial helpful, don’t forget to like, subscribe, and share it with others interested in running AI models locally on macOS.
#Ollama #MacOS #AppleSilicon #M1Mac #M2Mac #M3Mac #M4Mac #M5Mac #LocalAI #LLM #AIModels #MacBookPro #MacBookAir #iMac #ArtificialIntelligence #AITools #TechTutorial








![First Impressions of Claude Fable 5 | AI Coding & Reasoning Test
# First Impressions of Claude Fable 5 | AI Coding & Reasoning Test
In this video, we take a first look at **Claude Fable 5**, Anthropic’s latest frontier AI model, and put it through a series of coding, reasoning, and problem-solving tests. Claude Fable 5 is designed for advanced software engineering, long-context understanding, complex analysis, and agent-style workflows, making it one of the most capable publicly available AI models for developers and technical users. ([Anthropic][1])
Whether youre a programmer, AI enthusiast, researcher, DevOps engineer, or someone interested in the future of AI-assisted development, this video will give you an overview of what Claude Fable 5 can do and how it compares to previous AI models.
In this hands-on test, we explore Claude Fable 5’s capabilities in real-world scenarios, including code generation, debugging, reasoning tasks, and long-context understanding. We evaluate how well the model handles programming challenges, explains complex concepts, refactors code, and solves multi-step problems.
Claude Fable 5 introduces major improvements in reasoning, coding accuracy, and context handling. It supports a massive context window of up to 1 million tokens and can generate long, structured outputs, making it useful for working with large codebases, documentation, and complex projects. ([Simon Willison’s Weblog][2])
We also test how the model performs with:
* Writing code from prompts
* Fixing bugs and debugging errors
* Refactoring existing code
* Understanding large projects
* Solving logic and reasoning problems
* Explaining technical concepts
* Working with long documents
* Comparing AI coding workflows
* Agent-style development tasks
Additionally, we discuss Claude Fable 5’s strengths, limitations, and ideal use cases for developers and technical professionals. While the model excels at coding, analysis, and reasoning tasks, we also explore where human review remains important and how AI tools fit into modern software development workflows. ([Medium][3])
Topics covered in this video:
* What is Claude Fable 5?
* New features and improvements
* AI coding performance
* Reasoning and problem-solving tests
* Long-context capabilities
* Code generation and debugging
* Agent workflows
* Comparing results with earlier models
* Real-world developer use cases
* Strengths and limitations
* First impressions and final thoughts
Claude Fable 5 represents a significant step forward in AI-assisted coding and reasoning, offering powerful tools for developers, researchers, and technical teams. Whether youre building applications, analyzing large datasets, or exploring advanced AI workflows, this model demonstrates how rapidly AI capabilities are evolving. ([Anthropic][1])
If you found this video helpful, don’t forget to like, subscribe, and turn on notifications for more AI tools, coding assistants, programming tutorials, and technology content.
#ClaudeFable5 #ClaudeAI #Anthropic #AI #ArtificialIntelligence #AICoding #CodingAssistant #Programming #SoftwareDevelopment #DeveloperTools #ReasoningAI #LLM #GenerativeAI #Coding #TechReview #AIAgent #Automation #MachineLearning #AITools #TechTutorial
[1]: https://www.anthropic.com/news/claude-fable-5-mythos-5?utm_source=chatgpt.com Claude Fable 5 and Claude Mythos 5
[2]: https://simonwillison.net/2026/Jun/9/claude-fable-5/?utm_source=chatgpt.com Initial impressions of Claude Fable 5
[3]: https://ismatbabir.medium.com/claude-fable-5-review-2026-mythos-class-ai-pricing-verdict-9f76abf75df5?utm_source=chatgpt.com Claude Fable 5 Review 2026: Mythos-Class AI, Pricing & Verdict First Impressions of Claude Fable 5 | AI Coding & Reasoning Test](https://i.ytimg.com/vi/uyUMWW0t6q0/mqdefault.jpg)

