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ConTejas Code

Technical Deep Dives, Practical Skills, Eliminating Impostor Syndrome


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  • ChatGPT: How to Train an LLM, Ethics, and the future of AI

    01:49:27|
    Links- Codecrafters (sponsor): https://tej.as/codecrafters- SquiggleConf: https://squiggleconf.com/- ChatGPT: https://chatgpt.com SummaryIn this groundbreaking episode of the ConTejas Code Podcast, we engage in a deep conversation with ChatGPT, exploring the intricacies of AI, its ethical implications, and the future of human-computer interaction. The discussion covers the training process of AI models, the importance of ethical data sourcing, and the challenges of transparency in AI development. The episode also dives into philosophical dilemmas like the trolley problem, the potential for AI to replace human jobs, and the unique qualities that make us human. Throughout the conversation, the complexities of latent space and voice modeling are examined, culminating in a reflection on the irreplaceable aspects of human experience.Chapters00:00:00 Intro00:07:39 How to Build an LLM00:10:04 Copyrights and Ethics00:17:13 Is OpenAI Actually Open?00:37:10 An Open AI Supervision Committee00:45:21 Training an LLM00:51:11 Optimizing Hyperparameters for Machine Learning00:59:44 What did Ilya see?01:00:14 Superintelligence Threats to Humanity01:07:25 The Trolley Problem01:13:24 AI on Trump vs. Kamala01:19:47 What Questions Would ChatGPT Like to Answer?01:22:04 The Future of AI: Dystopian or Hopeful?01:28:15 Latent Space Explained01:41:28 AI Consciousness01:46:03 Conclusion

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  • Tracy Lee, CEO This Dot: How to be successful in DevRel with AI

    01:49:33|
    Links- Codecrafters (sponsor): https://tej.as/codecrafters- Wix (sponsor): https://tej.as/wix- SquiggleConf: https://squiggleconf.com/- Tracy Lee on X: https://twitter.com/ladyleet- This Dot Labs: https://www.thisdot.co/- RxJS: https://rxjs.dev/- GitHub Copilot: https://github.com/features/copilot- CascadiaJS Conference: https://2023.cascadiajs.com/- Render: https://render.com/- Vercel: https://vercel.com/- Netlify: https://www.netlify.com/- AWS Amplify: https://aws.amazon.com/amplify/- Michael Terrell Coaching: https://www.michaelwterrell.com/- Cal Newport's "Deep Work": https://www.calnewport.com/books/deep-work/- O'Reilly Media: https://www.oreilly.com/SummaryIn this episode, Tracy Lee, CEO and co-founder of [This Dot Labs](https://www.thisdot.co/) shares her inspiring journey from hosting JavaScript meetups to becoming a prominent figure in the tech industry. She explores the evolution of This Dot Labs, highlighting the crucial role of open source contributions and community building in its success.Tracy emphasizes the significance of Developer Relations (DevRel) in fostering long-term relationships and brand awareness. The discussion touches on current industry trends, including the increasing integration of AI technologies like GitHub Copilot in development workflows, and how This Dot Labs navigates client policies regarding AI usage.We also explore the challenges of scaling a consultancy, the importance of hiring autonomous and entrepreneurial-minded individuals, and strategies for effective team building. Tracy sheds light on the need for leaders to be coachable and receptive to feedback, sharing personal anecdotes about growth and learning. The conversation wraps up with insights into This Dot Labs' future directions, including expanding services in AI consulting and backend technologies.Chapters00:00:00 Introduction00:06:25 Building This Dot Labs00:10:40 The Role of Open Source00:14:15 Importance of DevRel00:22:45 Challenges in Consultancy00:27:00 AI Integration in Client Projects00:31:35 Hiring Autonomous Individuals00:36:20 DevRel's Value in the Current Economy00:40:55 Emotional Intelligence and Leadership00:45:15 Balancing Business and Personal Connections00:50:30 Expanding Services at This Dot Labs00:55:45 Future Directions and Vision01:00:00 Impact of AI on the Industry01:15:00 The Importance of Being Coachable01:20:30 Overcoming Personal Challenges01:25:40 Advice for Aspiring Tech CEOs and Founders01:35:15 Looking Ahead: This Dot's Next Steps01:40:00 Final Reflections and Closing Thoughts
  • Alex Moldovan, founder JS Heroes: How to Organize a Community-first JavaScript Conference

    01:37:38|
    Links- Codecrafters (sponsor): https://tej.as/codecrafters- Wix (sponsor): https://tej.as/wix- SquiggleConf (partner): https://squiggleconf.com/- JS Heroes: https://jsheroes.io/- Alex on X: https://x.com/alexnmoldovan- Tejas on X: https://x.com/tejaskumar_Summary:In this discussion, we talk to Alex Moldovan, a software engineer at CodeSandbox and event planner who co-founded JS Heroes—a non-profit, community-driven JavaScript (Programming Language) conference in Romania. Together, we cover the intricacies of project management, event planning, and the challenges of organizing a conference that prioritizes open source values and community engagement.Key topics include the benefits of a single-track format for presentations and talks, strategies for diversity and inclusion in the call for papers (CFP) process, and balancing a full-time role in technology with being a conference speaker and organizer. The discussion provides valuable insights for developers interested in community building, functional programming, and the evolving landscape of the tech industry.Chapters00:00:00 Alex Moldovan00:03:54 Introduction00:09:42 Origin of JS Heroes00:18:17 Non-Profit Conference Model00:25:15 Single-Track Conference Benefits00:36:16 Transparency in Event Planning00:43:13 Challenges with Sponsorship00:53:27 Scaling and Quality Focus01:04:54 Diversity in CFP Process01:13:08 Cultural Challenges in Tech01:23:26 Balancing Roles01:32:26 Future Goals for JS Heroes
  • Michelle Bakels: How to Optimize Developer Health

    01:29:57|
    Links- Codecrafters (sponsor): https://tej.as/codecrafters- Wix (sponsor): https://tej.as/wix- G2i: https://g2i.co- Developer Health OS: https://www.g2i.co/developer-health- Michelle on X: https://x.com/michellebakels- Tejas on X: https://x.com/tejaskumar_SummaryIn this episode, Michelle Bakels from G2i discusses the importance of developer health and wellbeing. She explains G2i's Developer Health Operating System, which focuses on burnout recovery, prevention, and optimizing performance. Michelle shares insights on work-life balance, the impact of remote work, and practical strategies for maintaining physical and mental health in the tech industry.Chapters00:00:00 Introduction00:06:13 Challenges developers face in the tech industry00:12:08 External and internal pressures on developers00:19:31 The importance of questioning and reevaluating work habits00:24:08 G2I's focus on developer health00:29:33 Overview of the Developer Health Operating System00:34:26 Burnout recovery strategies00:39:53 Workaholic tendencies and stress addiction00:46:38 Burnout prevention techniques00:51:58 Optimizing performance through sleep and brain health00:59:43 Remote work's impact on productivity and work-life balance01:09:12 Michelle's personal routine for maintaining health and productivity01:15:11 Measuring the effectiveness of health strategies01:20:18 G2I's four-day work week experiment01:24:50 The importance of transparency and vulnerability in leadership01:28:10 Conclusion and final thoughts
  • Gabe Greenberg, CEO G2i: How to Bootstrap a Healthy Tech Business

    01:35:26|
    Links- Codecrafters (sponsor): https://tej.as/codecrafters- Wix (sponsor): https://tej.as/wix- SquiggleConf (partner): https://2024.squiggleconf.com/- G2i: https://www.g2i.co/- Gabe on X: https://x.com/gabe_g2i- Tejas on X: https://x.com/tejaskumar_- Book: "Traction" by Gino Wickman https://www.amazon.de/-/en/Gino-Wickman/dp/1936661837- "Move Fast and Fix Things" book: https://www.amazon.de/-/en/Frances-Frei/dp/1647822874- Developer Health Operating System: https://www.devhealthos.com- fourdayworkweek.io: https://www.fourdayworkweek.io- Suno: https://suno.ai - Ro.am: https://ro.am- Loom: https://www.loom.com- Linear: https://linear.app- "Deep Work" book by Dr. Cal Newport: https://www.amazon.de/-/en/Cal-Newport/dp/1455586692- Dopamine Nation by Dr. Anna Lembke: https://www.amazon.de/-/en/Dr-Anna-Lembke/dp/152474672XSummaryG2i is a unique hiring community that originated from the open-source community. The company focuses on working with React, React Native, and GraphQL engineers and matching them with companies. G2i stands out for its autonomous and engineering-focused approach to solving problems. The company emphasizes clarity, prioritization, and moving fast while maintaining trust. The Entrepreneurial Operating System (EOS) framework has been implemented at G2I to provide structure and clarity in running the business. The key quality that sets great engineers apart is their ability to work autonomously, take ownership, and make effective decisions. In this conversation, Gabe and Tejas discuss the importance of developer health and its impact on revenue generation. They explore the concept of setting priorities and positioning oneself close to revenue as a founder. They also touch on the idea of creating a cohesive story around optimizing revenue and developer health. Gabe shares insights on implementing the Entrepreneurial Operating System (EOS) framework and the value of having a clear vision and core values. They also discuss the tools and technologies that have been crucial for successful remote work at G2I.Chapters00:00:00 Gabe Greenberg00:03:45 Introduction and G2I's unique approach00:07:16 Building a company without VC backing00:10:42 The importance of mentors and advisory boards00:16:08 Implementing the Entrepreneurial Operating System (EOS)00:22:04 Key qualities of great engineers00:27:44 The value of being early to new technologies00:34:02 G2I's initiatives in AI and machine learning00:41:30 Developer health and productivity00:48:06 Recognizing patterns in emerging tech ecosystems00:54:51 Identifying valuable skills in the AI era01:02:53 G2I's work with reinforcement learning01:08:38 Balancing revenue goals and developer wellbeing01:16:45 Advice for technical founders and CEOs01:23:03 Implementing goal-setting frameworks like EOS01:28:27 Tools and strategies for successful remote work
  • Josh Goldberg: How to Maximize Success with TypeScript and ESLint

    01:34:59|
    Links- Codecrafters (sponsor): https://tej.as/codecrafters- Wix (sponsor): https://tej.as/wix- Josh Goldberg: https://x.com/joshuakgoldberg- Learning TypeScript: https://learning.oreilly.com/library/view/-/9781098110321/- SquiggleConf: https://2024.squiggleconf.com/ SummaryJoshua K Goldberg is a full-time independent open source maintainer in the TypeScript ecosystem. He shares his journey into open source and the importance of filling in the gaps in the ecosystem. He also discusses the best incremental migration path to TypeScript and highlights advanced features like shenanigans with type parameters and the 'satisfies' keyword. The conversation covers topics such as literals in TypeScript, writing a book, the process of writing and shipping a book, the reception of the book, the development of TypeScript ESLint, abstract syntax trees (ASTs), parsing, and static analysis. We also discuss the future of TypeScript, the performance of ESLint, and configuration tips to improve ESLint's performance. Takeaways1. Being a full-time independent open source maintainer is rewarding and allows for direct contributions to tools that benefit everyone.2. When migrating to TypeScript, it's best to start with one file at a time and gradually increase strictness.3. Type parameters in TypeScript can be complex, but they are useful for advanced scenarios.4. The 'satisfies' keyword in TypeScript allows for declaring data that adheres to a type while still inferring a more specific type.5. Parsing is the process of converting a string of code into an AST.6. ESLint provides a report function that allows lint rules to report issues to the user.7. TypeScript ESLint supports typed linting, which allows for more powerful linting rules.8. ESLint's performance can be affected by misconfiguration, the number of plugins, and the use of ESLint plugin prettier.9. Separating ESLint and Prettier as separate tools can improve performance.10. Being an open-source maintainer can be challenging, but having a fallback plan and a supportive community can make it sustainable.Chapters00:00 Josh Goldberg03:37 Introduction and Background06:22 The Journey into Open Source and Filling in the Gaps15:15 The Best Incremental Migration Path to TypeScript28:41 Introducing the 'Satisfies' Keyword in TypeScript30:31 The Process of Writing and Shipping a Book35:10 The Development of TypeScript ESLint37:26 Parsing and Static Analysis with Abstract Syntax Trees56:54 Improving ESLint Performance: Configuration Tips01:01:00 Understanding the Role of ASTs and Compilers in TypeScript and ESLint01:03:42 Configuring Type Linting in TypeScript01:06:22 The Intersection of AI with TypeScript and ESLint01:11:53 Creating a Standardized Open-Source Sponsorship Rating System
  • Kyle Corbitt, CEO OpenPipe: How to Fine-Tune Your Own Language Model (LLM)

    01:36:41|
    Links- Codecrafters (Sponsor): https://tej.as/codecrafters- Wix (Sponsor): https://tej.as/wix- OpenPipe: https://openpipe.ai- Kyle on X: https://x.com/corbtt- Tejas on X: https://x.com/tejaskumar_SummaryKyle Corbitt, founder and CEO of OpenPipe, shares the origin story of the company and his background in computer science and entrepreneurship. He discusses the evolution of machine learning and the breakthroughs that made OpenPipe possible. The conversation then dives into the process of fine-tuning models using OpenPipe, including the logging feature, data curation, and the selection of base models and hyperparameters.The episode also explores the developer experience and the decision to create an SDK that is a drop-in replacement for the OpenAI SDK. The conversation explores the concept of overfitting in machine learning models and how it differs for language models. The validation process for fine-tuned models is discussed, including inner loop tests and outer loop evaluations.Takeaways1. OpenPipe was founded to help people transition easily and smoothly into fine-tuning models using machine learning.2. The process of fine-tuning models involves logging user requests, curating data, selecting base models, and optimizing hyperparameters.3. OpenPipe provides an SDK that is a drop-in replacement for the OpenAI SDK, making it easy for developers to integrate OpenPipe into their existing workflows.4. The platform automates the heavy lifting of fine-tuning models, including the optimization of hyperparameters based on thousands of fine-tuned models and user-defined evaluations.5. OpenPipe offers a seamless developer experience, allowing users to quickly and efficiently fine-tune models and deploy them for production use.Chapters00:00 Kyle Corbitt03:28 The Origin Story of OpenPipe14:34 Fine-Tuning Models with OpenPipe33:46 Understanding Overfitting and Fine-Tuning39:47 The Role of Hyperparameters46:32 Validating Fine-Tuned Models56:46 Enabling Tool Calls in Language Models01:00:33 Unleashing the Full Potential of Language Models01:05:09 Introduction to OpenPipe01:10:14 Changing the Configuration Parameter01:20:17 The Future of OpenPipe01:25:31 The Need for a Founder's Handbook01:32:17 Advice for Technical Founders and CEOs