AI DIY

Black Flag Design

We gather virtually to discuss new technologies, present useful demos and experiments, and moderated Q&A from the live audience. These recordings are an opportunity to be creative with peers and demonstrate developments in the AI field by getting beyond the headlines, to getting our hands on with these new technologies.

  1. Steven BigBeat Orr - Quasar Markets and AI for Investing

    12/03/2025

    Steven BigBeat Orr - Quasar Markets and AI for Investing

    In this conversation, Eli Wood, Keith Pattison, and Steven Orr discuss the transformative impact of AI on finance, focusing on the vision behind Quasar Markets, the democratization of financial data, and the future of investing. We explore how AI can enhance market insights, the importance of mentorship in navigating the financial landscape, and the integration of technology in daily life. It's clear there is a need for accessible data and the role of AI in shaping market dynamics, while also addressing the challenges and opportunities that lie ahead in the evolving financial ecosystem. Takeaways AI is revolutionizing the finance industry by providing democratized access to data. Quasar Markets aims to create a comprehensive platform for financial tools and insights. The integration of AI in investing strategies is becoming increasingly important. Understanding global market dynamics is essential for successful investing. Mentorship is crucial for aspiring investors and entrepreneurs. The future of finance will heavily rely on data accessibility and technology. AI can help identify market trends and opportunities that may not be immediately apparent. Investors need to adapt to the changing landscape of technology and finance. The role of data centers will be pivotal in the future of AI and finance. A collaborative approach to AI development can lead to better outcomes for users. Chapters 00:00 The Genesis of Big Beat 01:20 Building Quasar Markets: A Vision for FinTech 04:39 The Role of Prediction Markets in Investing 08:26 AI's Impact on Finance: Current Trends and Future Outlook 18:20 The Future of AI and Data Accessibility 27:46 The Future of Data Centers in Texas 29:07 The Evolution of Manufacturing and Customization 31:20 Agricultural Revolution and Its Impact on Modern Markets 33:21 AI's Role in Agriculture and Market Efficiency 36:31 Democratizing Data Access and Investment Opportunities 44:36 Quasar Markets: Bridging the Data Gap 47:12 Understanding Market Data and AI Integration 49:45 Utilizing AI for Stock Analysis 52:33 Creating Custom Financial Ratios 54:46 Leveraging AI for Sports Analytics 57:36 The Importance of Comprehensive Data 01:01:54 Mentorship and Learning in Finance

    1h 7m
  2. Chris Carter - Enterprise AI Solutions

    07/16/2025

    Chris Carter - Enterprise AI Solutions

    Summary In this conversation, Chris Carter, Eli Wood, and Keith Pattison discuss the evolving landscape of coding and AI, particularly in enterprise settings. They explore the challenges and opportunities presented by AI tools, the importance of security and usability, and the cultural readiness of organizations to adopt these technologies. The discussion also touches on the need for better data management, the training of future tech professionals, and the balance between innovation and security in AI development. Ultimately, they emphasize the importance of experimentation and the potential for AI to transform business processes. Takeaways The landscape of coding and AI is rapidly evolving. Younger generations are more adept at coding than ever before. Enterprises prioritize security and usability in AI systems. Data management is a significant challenge for many organizations. AI can help unlock value from messy data. Cultural readiness is crucial for successful AI adoption. Training the next generation of tech professionals is essential. Innovation must be balanced with security in AI development. Responsible risk-taking can lead to significant advancements. The future of business will be shaped by how well companies adapt to AI. Chapters 00:00 The Evolution of Coding and AI Tools 01:36 Prototyping vs. Production Systems in AI 04:05 Enterprise Needs for AI Systems 06:42 The Importance of Security and Usability in AI 09:37 Data Management Challenges in Enterprises 12:46 Unlocking Value from Messy Data with AI 15:22 Cultural Readiness for AI in Enterprises 18:20 Training the Next Generation of Tech Talent 24:02 Engineering Identity and AI Impact 32:02 Fostering Innovation in Enterprises 38:36 The Future of AI and Business Dynamics

    49 min
  3. Getting Hands on Generating Code with AI

    06/03/2025

    Getting Hands on Generating Code with AI

    Summary In this conversation, the participants explore various app development ideas, focusing on the integration of AI in creating a weather app for high school students. They discuss the importance of user experience, creative prompting for AI, and the efficiency of different coding tools and models. The conversation also touches on API integration, data handling, and the nuances of using various AI models for development tasks. Overall, the discussion highlights the collaborative nature of app development and the role of AI as a creative partner. In this conversation, the participants delve into various aspects of AI integration in development, focusing on debugging techniques, the advantages of using platforms like Replit, and the importance of understanding technology. They discuss the role of AI in problem-solving, learning from failures, and establishing a development framework that encourages collaboration and innovation. The conversation highlights the need for clear communication and understanding within teams to effectively utilize AI tools in coding and development processes. Takeaways The importance of aiming for creativity in app development. AI can serve as a teammate in generating app ideas. User experience is crucial, especially for targeted demographics like high school students. API integration should be seamless and efficient. Different AI models have unique strengths in coding and development tasks. Creative prompting can enhance AI's output quality. Fallback data can confuse developers if not handled properly. Efficiency in coding tools can save time and resources. Understanding the nuances of AI models is essential for effective use. Collaboration and communication are key in app development. AI can enhance debugging processes in development. Replit offers significant advantages for developers. Understanding API responses is crucial for effective data handling. Collaborative development can lead to innovative solutions. Learning from failures is an essential part of the development process. Establishing a clear framework can improve team efficiency. It's important to understand the technology being used. AI can provide unexpected insights and solutions. Effective communication is key in team environments. Continuous learning and adaptation are vital in tech development.

    1h 15m

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We gather virtually to discuss new technologies, present useful demos and experiments, and moderated Q&A from the live audience. These recordings are an opportunity to be creative with peers and demonstrate developments in the AI field by getting beyond the headlines, to getting our hands on with these new technologies.