
Why Your Next AI Project Should Be Open-Source | Mike Bird
Is locking down powerful AI in the hands of a few companies a risk we can't afford to take? In this episode, we're joined by open-source visionary Mike Bird to explore why the future of humanity might depend on open-source AI. We dive deep into the strategic advantages of building in the open, how to decide what parts of your business to open-source, and the practical tools and frameworks that can help developers and companies thrive.
Guest: Mike Bird, open-source advocate, contributor to Open Interpreter, AI & Engineering Lead at BoxOne Ventures and host of the Tool Use YouTube channel.
Our guest:
X: https://x.com/MikeBirdTech
- LinkedIn: https://www.linkedin.com/in/mikebirdtech/
- YouTube: https://www.youtube.com/@MikeBirdTech
What You'll Hear About:
The Philosophical Debate: Why centralizing AI in a few corporations is a high-risk scenario for humanity.
Strategic Open-Sourcing: How companies can build trust and attract talent by strategically open-sourcing parts of their tech stack without losing their competitive edge.
Practical AI Workflows: Three game-changing use cases for AI in your daily life, including voice transcription, building tool generators, and leveraging code assistants like Cursor.
The Future of AI Agents: Will open-source or closed-source frameworks dominate the next wave of AI agent technology?
- Security in the Open: How to navigate the risks of open-source, from malicious actors to ensuring the safety of tools like MCP servers with projects like ToolHive.
Key insights:
Open-sourcing parts of your software is a powerful way to build trust in an age of increasing digital skepticism.
You don't have to open-source your core product. Contributing to the libraries and tools your business relies on is a valuable way to participate.
The argument against open-source AI often ignores the second-order effect: concentrating power in a few opaque organizations is a greater long-term risk.
Use AI tools like Cursor not just for development, but as a learning tool to understand complex codebases and make meaningful contributions.
- The most important skills in the age of AI are curiosity, agency, and taste. Learn to experiment, act on your ideas, and develop a sense for quality user experience.
Tools Mentioned:
Open Interpreter: An open-source project for running code on your computer https://github.com/openinterpreter/open-interpreter .
Cursor: An AI-powered code editor.
Cal.com: An open-source scheduling alternative to Calendly.
AgentStack: A tool for tracing and building reliable AI systems https://github.com/AgentOps-AI/AgentStack.
Bitwarden: An open-source password manager.
Superwhisper / Whisperfile: Voice transcription tools https://github.com/cjpais/whisperfile.
Obsidian: A note-taking app that works on local Markdown files.
ToolHive: A project for secure secret management with MCP servers.
- Augment Toolkit & Transformer Lab: Tools for creating fine-tuned models https://github.com/e-p-armstrong/augmentoolkit https://transformerlab.ai/.
Chapters
00:00 The High-Stakes Future of Open-Source AI
01:15 Mike Bird's Journey into the AI Ecosystem
03:55 Why Open-Source is a Public Good for Humanity
05:30 Building Trust: How Companies Can Benefit from Open-Source
07:15 What to Open Source (And What to Keep Proprietary)
11:19 The Philosophical Argument: Is Open-Source AI a Necessity?
15:01 Open-Source vs. Closed-Source as a Societal Choice
17:35 Why Did OpenAI Abandon Its Open-Source Roots?
22:47 The Future of AI Agents: Who Will Win?
28:25 Mike's Top 3 AI Use Cases for Daily Productivity
30:10 Building a Tool That Builds More Tools
33:26 Navigating Security with MCP Servers and ToolHive
36:06 Final Principles: Stay Curious, Keep Humans in the Loop, and Develop Good Taste
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Website: pod.elinalesyk.com
LinkedIn: linkedin.com/company/ai-ketchup/
Information
- Show
- FrequencyUpdated daily
- Published17 July 2025 at 16:10 UTC
- Length40 min
- Season1
- Episode16
- RatingClean