Based on this YouTube video's total view count of 198K views and industry-standard rates, the estimated total earning is $139 - $397 through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

Explore I Tested PewDiePie's Odysseus AI (Free!) with 198,684 views, 4,687 likes, and 439 comments. Experience the impact of this video content that has captured audience attention.

👑 Premium Community: https://mrc.fm/premium ⛵️ Try Odysseus: https://mrc.fm/odysseus In this one I'm getting hands-on with Odysseus. The self hosted AI workspace that PewDiePie quietly built and open sourced. I'm putting it through its paces on my Mac Studio. I'll take it from a clean install all the way through to the features that actually matter... pointing it at local models, letting the Cookbook scan my hardware and tell me what it can run, then working through chat, autonomous agents, deep research, the blind model comparison tool, and the persistent memory that's meant to learn how I work. The whole pitch is a private, local first alternative to ChatGPT and Claude with no cloud, no subscription, and no data leaving the machine. So the real question I'm answering is whether something built on a ten GPU monster holds up on Apple Silicon, and whether it's genuinely useful day to day or just a brilliant weekend project. 0:00 Introduction to Odysseus by PewDiePie 1:20 Exploring the Landing Page & GitHub Repo 2:40 Beginning Native macOS Installation 3:26 Python Environment Setup & Initial Errors 4:30 Using Claude Code to Fix Installation Issues 7:44 Launching the Local Server 9:19 Logging into the Odysseus Dashboard 11:44 Exploring the UI & Setting Up Ollama 13:58 Scanning Hardware & Model Recommendations 15:52 Installing Tmux and Resolving Dependencies 17:15 Integrating OpenAI API Key 20:56 First Chat & Token Cost Interface 22:36 Testing Agent Mode & GitHub History 24:08 Requesting a YouTube Transcript via Agent 28:02 Discussing Second Brains: RAG vs. LLM Wikis 30:46 Local Model Serving Troubles 33:14 Blind Model Comparison Tool 35:19 Evaluation Prompts & Comparing ASCII Art 39:54 HTML Generation & Live Browser Preview 45:20 Troubleshooting Local Ollama Connections 48:28 Character Personas & Web Search Testing 51:26 Initiating Deep Research Feature 55:10 Configuring Brave Search API Key 58:47 Analyzing the Deep Research Visual Report 1:02:00 Document Editor & AI Assist 1:06:06 Saving Preferences with Brain Memory 1:08:38 Agent Shell Access & Local Memory Recall 1:15:39 Triage Email, Notes, Tasks & Calendar 1:18:13 Testing Canvas Editor & AI Inpainting 1:24:59 Theme Options & Audience Q&A 1:27:14 Summary, Project Tank Showcase, & Outro

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