Consider Molly Sims and her best friend Emese Gormley your new girlfriends on speed dial for all your pressing beauty and wellness needs. Is Botox a good idea? Should you try that new diet you saw on the Today Show? Molly and Emese have your back. With guests ranging from top health and beauty experts to their industry friends, you’ll get the scoop on the latest trends, which products and procedures to try, and which to run from-- and they just might be doing it all with a drink in hand. Prepare to be obsessed.
Do you remember that amazing feeling of absolutely NAILING something REALLY hard? Overcoming some TREMENDOUS odds? Scientifically speaking, that’s dopamine, the “feel good chemical”. And this video is about a rather unusual way of getting HEAPS of it. And it’s 100% legal. 参る SEKIRO Don’t worry, today I won’t be sending you to jump into an ice cold bath. No, we'll be warm and cozy, and at the end of it you’ll have the perfect excuse for playing video games as a fully grown human. More specifically, one particular game called: Sekiro. But you can’t spell SEKIRO without DARK SOULS. So the whole story starts last year when my wife and I went to Japan for the first time. When we got back with more plushies than I’m ready to admit, some serious nostalgia kicked in. The next thing I know, I’m playing all my favourite childhood games on Switch. Life was good. But then this weird thing happened. I googled good games for Switch, and that one obscure title just kept coming up: Dark Souls. It’s hard to describe what playing Dark Souls is like. One one hand, the game clearly hates you. It doesn’t care if you die, and you will die a lot. There is no map, there are no reliable hints because the ones you find might be trolling you, and there is no “easy” difficulty setting for newcomers. Every inch of progress you make is through blood, sweat, trial and error. You’re literally always one false step away from death. Like seriously, one press of a button and YOU DIE On the other hand, it also clearly wants you to keep trying, and it wants you to eventually overcome the difficulty and succeed. And when you do, you know you achieved something meaningful. The dopamine feels AMAZING. And you don’t need a medal, the achievement in itself is rewarding. That feeling is now synonymous with a small Japanese company called FROM SOFTWARE. FROM SOFTWARE Dark Souls, and more broadly the Souls-like genre was created by a Japanese studio called From Software, under the lead of Hidetaka Miyazaki. The story starts in 2009 with the release of Demon’s Souls, a dark fantasy game trying to recreate a challenging gameplay that Miyazaki felt was dying out. Ironically, Miyazaki was only able to take this - let’s be honest - rather risk of trying something new, because the project he took over was already failing, and his career wouldn’t take a hit. When they released the demo, well… let’s just say it didn’t go so well. Some Japanese press called it “an unbelievably bad game”, mostly because of its unexpectedly challenging gameplay. Really, everyone expected it to flop, including Miyazaki himself. And that’s because the game wasn’t like the others. It wasn’t there to please you, or give you a nice time. It EXPECTED you to fail. Over and over again. And then it expected you to dust yourself off, learn a lesson, and try again, harder. When the actual game launched, the feedback was different. It turned out that gamers were a bunch of masochists and they FREAKING LOVED IT. It even got the 2009 Overall Game of the Year award, and its Metacritic score sits at 89/100 today. After Demon’s Souls, From Software released the Dark Souls trilogy (Dark Souls, BEEP & Dark Souls 3), Bloodborne, Sekiro and Elden Ring, all different takes on the same base recipe. As for myself, I love SEKIRO. SEKIRO My favourite of the genre, and probably my favourite game of all times is Sekiro. The game is set in the late Sengoku period of Japan, and you play as a shinobi (a japanese word for ninja). I don’t really want to spoil the plot, so I’m not gonna tell you anything about prosthetics, giant apes, even more giant snakes, lightning dragons, and a whole lot of katana fights. What I will tell you is why this game is a masterpiece: it’s perfectly balanced. Yes. It’s punishing. Gruelling sometimes. A split second delay usually costs you your life. You will throw the controller into the pillow pretty hard at times. And no, it doesn’t exactly give you a helping hand. But each time you die, you immediately learn what you did wrong. The game gives you just enough to have another thing to try at your next attempt. It demands that you learn its way, and unlike other games in the genre, there is no walkaround. If you want to finish the game, you have to become excellent at it. And you become excellent by practicing. You learn every opponent’s moves to anticipate and parry them just in time, within a few dozen milliseconds margin. Many fans describe that feeling when you finally start getting it right as “clicking”. The first few attempts, you are getting your ass handed to you. But then you finally “click”, and it’s the opponent who suddenly becomes prey. And the game wants you to play aggressively. There is this mechanic to break the enemies’ posture for an instant kill. Every time they attack, and you deliver a perfect parry, their posture bar takes a hit. And when it gets to zero, you can kill them regardless of how much health they have left. However, as soon as you stop attacking or parrying, their posture bar starts to recover. So perfect defence is also an offensive mechanism in Sekiro. And there is no time to waste. That’s why… HESITATION IS DEFEAT Getting excellent at Sekiro takes anywhere between 20 and 100 hours of work for most people. The same as that last series you binge-watched 5 seasons of, except that your heart rate monitor will think you’re working out with this one. It’s a complete, miniature version of the mental training you need to achieve anything of value in life. Going to the gym. Building a business. Getting good at any sport. Losing weight. You can only really lose if you stop trying. But it goes deeper. If you want the game to respect you, you have to best it. You have to be able to handle everything it throws at you. You have to become the final boss. And when you do, your only reward will be satisfaction. SEKIRO IS ART Sekiro reminded me why games can be a form of art. Every CEO, CTO, startup founder, business owner, athlete, high level professional. Everyone should try Sekiro. It’s that perfect little sandbox for what struggling through a difficulty and eventually succeeding feels like. And it’s balanced perfectly. Everyone with a free weekend can start feeling the IMMENSE satisfaction from getting good at it. But it’s hard enough to make you sweat for it. Does it feel as good as learning a ridiculously hard musical piece on a violin? A violin made from a rare wood you had to cut down yourself in the heart of Siberai? A violin that you built yourself under the only remaining grand master of that obscure school no one knows about? Well, actually, I have no idea. Leave a comment if you know. Does it feel like microdosing dopamine to help you get better at other hard things in life? Hell yeah. And that’s why it’s a masterpiece. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.hockeystick.show…
🚀 TL;DR Some Chinese nerd just beat OpenAI using old hardware and less than 0.1% of their yearly training budget, then proceeded to rub it in their face by releasing it free & open source (MIT), along with the paper explaining how they did it.Imagine the atmosphere at OpenAI right now, especially after they announced that $0.5 trillion funding round 📜 Long(er) version Last week, an AI lab you’ve never heard of, called Deepseek, released a reasoning model that’s equal or better at various benchmarks when compared to the latest models from OpenAI, Anthropic, Meta, or anybody else.“So what” right? “Aren’t there new models coming out every other week”?Yes, but this one is special for 6 reasons:1/ It’s open source, and comes with a paper that explains how it works, in English. You can download it and use it under MIT license, so we know it’s 100% legit.2/ It was trained on a shoestring budget compared to what OpenAI is splurging on their models. 3/ It’s much smaller than the competitors, so it can be run more cheaply. It comes in a variety of sizes and can run on a phone locally!4/ Comes out of China, despite the US preventing them from using the latest chips. They basically trained this on previous gen hardware.5/ It’s using Reinforcement Learning (RL) & a technique called distillation, when they use a bigger model to train the smaller model.6/ They already have an app, which within a week has officially topped App Store ranking, dethorning ChatGPT.Is this the end of closed AI companies like OpenAI?Will billions in valuation suddenly vanish?We’ll find out soon!What we know for sure is that it’s unlocked a new era.And being open source, is so far the biggest gift to the world in the domain of AI. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.hockeystick.show…
Welcome to episode 35 of the HockeyStick podcast. I'm Miko Pawlikowski, and today we have the pleasure of speaking with JJ Tang , the co-founder of Rootly. This episode jumps into JJ's personal journey, from his humble beginnings in Mongolia to the helm of a thriving B2B SaaS company, offering insights and reflections along the way. A Remarkable Upbringing JJ’s story began far away from the tech industry, in the villages of Inner Mongolia. Raised by his grandparents while his parents pursued their PhDs in Canada, JJ’s early years were marked by a life without modern conveniences like electricity and plumbing. JJ shared colorful tales of resilient childhood experiences, such as keeping warm on mud beds by carving tunnels to channel furnace heat. This upbringing instilled a certain steeliness and gratitude in JJ—qualities that he attributes to his success today. Building Rootly As a founder, JJ embodies the essence of perseverance and laser-focused vision. His journey from Canada to Y Combinator (YC) during the COVID-19 pandemic was driven by the unique opportunity to solve a problem not addressed effectively by the market. Rootly, an on-call and incident management platform, emerged from a clear need identified from JJ’s work experience at Instacart and his relentless pursuit of customer understanding. JJ’s approach included endless days of cold calling and personalized customer interactions, efforts that laid down the foundation for Rootly’s growth. His commitment to understanding customer needs firsthand has been a key driver for product refinement and market success. Strategic Growth and Customer Trust One of the core strategies that set Rootly apart was its dedication to customer empathy and support. JJ adopted unorthodox methods to ensure worldwide support, answering customer inquiries around the clock. This hard-earned trust and credibility with early adopters propelled Rootly to become a leader in its field, providing essential services to large organizations like NVIDIA, LinkedIn, and even national emergency call centers. Lessons Learned Throughout our conversation, JJ shared several lessons that resonate deeply with entrepreneurs: * Empathy Drives Innovation: By being in the trenches with customers, JJ fosters a culture of empathy, allowing his team to respond accurately to client needs and enhancing the product in meaningful ways. * Stay Focused: JJ's focus on Rootly’s core competency—incident management—has been instrumental in navigating tough economic seasons and staying ahead of competitors. * Support as a Superpower: For startups, offering epic support can be a differentiator. Rootly leveraged its size to offer personalized, impactful customer service, often outperforming larger competitors. * Adapting Messaging: By adjusting how they communicated Rootly’s value proposition to align with customer understanding, JJ increased engagement and trial initiation dramatically. * Enduring the Struggle: Success stories often feature long, tireless stretches of hard work. JJ’s narrative includes 400 consecutive days of support and outreach, showcasing the grit required to thrive as a new entrant in the market. Looking Ahead Rootly’s future is as promising as its origin story is inspiring. JJ and his team remain resolutely focused on expanding their capabilities to enhance both reactive and proactive reliability solutions. Their unwavering dedication to their core mission, despite the allure of new trends and technologies, exemplifies leadership with purpose. As we wrapped up this episode of HockeyStick, I reflected on the unique and authentic tale JJ Tang shared—a story underscored by hard work, resilience, and gratitude. Rootly’s ongoing journey illustrates the power of an emotionally invested founder determined to create something remarkable from modest beginnings to commanding market position. 00:00 Intro 03:17 Growing Up in Mongolia 08:12 Journey to Y Combinator 11:22 Scaling Rootly with Focus and Empathy 20:31 Challenges and Strategies in Early-Stage Sales 22:07 The Importance of Customer Support 31:52 Reflecting on Rootly's Success and Future 37:25 Conclusion and Final Thoughts This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.hockeystick.show…
Welcome to Episode 34 of the HockeyStick podcast! In this episode, I had the pleasure of speaking with Charlie Lass , a serial entrepreneur whose journey through the business world is as fascinating as it is instructive. Throughout our conversation, we explored not only the highs and lows of his entrepreneurial adventures but also his deep insights into what it truly takes to succeed. Charlie's story is a testament to the demands—and rewards—of entrepreneurship, and I’m excited to share some key takeaways with you all. Charting the Path from Film to Startups It was a revelation to learn that Charlie's venture into entrepreneurship began in the world of film production. As he recounts, his initial foray into producing films taught him invaluable lessons about idea execution and management, which later became assets in the startup world. The parallels he draws between creating films and building products highlight a universal truth in entrepreneurship: both industries require creativity, resilience, and an ability to bring ideas to life. The Art of Rapid Launch: Humble Inc. and Consultancy Frameworks When discussing his latest ventures, Charlie goes into the origins and philosophy of Humble Inc. He emphasizes the importance of launching ideas quickly and efficiently, often within just 30 days. This approach, he explains, hinges on cutting through unnecessary elements and focusing on the core value of a product or service. We discussed how it plays into the broader theme of requirements versus time constraints, showcasing the effectiveness of targeted, result-oriented processes. The Mental Health Imperative for Entrepreneurs A significant portion of our conversation focused on the mental health challenges that entrepreneurs face. Charlie candidly talked about his own struggles, including a significant nervous breakdown, which led him to underscore the necessity of maintaining mental wellbeing in the entrepreneurial journey. He advocates for a balanced approach, advising fellow entrepreneurs to prioritize their health and sanity alongside their business goals. Unraveling Entrepreneurial Myths Charlie's insights included debunking several prevalent myths in the entrepreneurial domain: * Secrecy Kills Progress: Entrepreneurs often fear sharing their ideas, but according to Charlie, secrecy can hinder feedback and growth. By opening up and engaging with others, entrepreneurs can refine and enhance their ideas. * Founders versus Co-Founders: The myth that having a co-founder is essential was challenged. Charlie argues for a more flexible approach, suggesting a single founder leading initially until the opportunity and necessity to bring in additional partners arises. * The Reality of Exits: Charlie shared an eye-opening perspective on exits, describing them as milestones often laced with relief rather than the fairy-tale finale many envision. The journey to an exit is complex, and understanding this can align expectations with reality. Business Lessons Learned Reflecting on my talk with Charlie, several business lessons stood out: * Validate Early, Launch Fast: Before pouring resources into development, validate ideas with potential customers. Speed is crucial. * Prioritize Mental Health: No business success is worth the cost of mental wellbeing. As Charlie puts it, "If it costs your mental health, it’s too expensive." * Embrace Flexibility: Entrepreneurship requires adaptability. Plans may shift as market conditions and personal circumstances evolve. * Focus on the Problem, Not Just the Product: Understanding customer pain points and addressing them effectively is more valuable than delivering a technically perfect product. Conclusion Episode 34 with Charlie Lass was an enlightening trip through the bustling, often unpredictable world of entrepreneurship. His journey, informed by real-life triumphs and setbacks, offers wisdom for anyone looking to navigate the entrepreneurial landscape. As we look forward to future episodes, I encourage you to reflect on these insights and apply them to your own ventures. Until next time, thank you for tuning into the HockeyStick podcast. 00:00 Introduction: Elon Musk and Hustle Culture00:12 The Reality of Entrepreneurship00:39 The Myth of Equal Co-Founding01:10 Journey into Film Production02:12 Transition to Startups03:07 Launching ViaPost03:26 Serial Entrepreneurship03:56 The Essence of Entrepreneurship05:55 Dallas Inc: Rapid Market Entry11:02 Mentoring and Mental Health15:04 Humble Inc: A Resource for Entrepreneurs29:28 Finding Your Unique Competitive Edge30:17 Debunking Startup Myths30:53 The Co-Founder Dilemma31:47 Equity and Valuation Realities41:54 The Truth About Startup Exits51:19 Mental Health and Productivity Tips55:13 Charlie's Book and Future Plans This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.hockeystick.show…
Welcome to the 33rd episode of The HockeyStick Podcast! In this episode, we dive deep into the intriguing world of agentic AI with our special guest, Micheal Lanham. Micheal is an expert in the field, with years of experience building powerful agentic systems. Join me as we explore how these systems are transforming our world and discuss the future implications for businesses and individuals alike. Understanding Agentic AI To kick off our conversation, Micheal provided clarity on what agentic AI entails. As he explained, an "agent" is an entity with agency - the ability to make decisions and act independently using resources. This stands in contrast to typical assistant workflows, like those you might experience with chatGPT, which require ongoing interaction and approval. An agentic AI system operates autonomously, executing tasks like a digital executive assistant looking after various aspects of our lives such as fraud alerts, financial monitoring, or ensuring we maintain a healthy lifestyle. The Shift in Software Paradigms One of the major insights Michael shared was the paradigm shift in software development due to advancements in large language models (LLMs). These models now allow businesses to automate complex workflows without the need for specialized deep learning models. This not only reduces costs but also accelerates development cycles, transforming how companies approach problem-solving and innovation. Real-World Applications and Challenges Agentic AI isn't just a theoretical concept; it's being actively integrated into various applications. One fascinating example Michael shared was an agentic workflow involving multiple interconnected agents. From summarizing YouTube transcripts to creating a polished Medium blog post, these systems are proving their capability to handle complex tasks autonomously. However, challenges remain. Acceptance by the public and legislative bodies is crucial. As Michael put it, governments worldwide need to legislate quickly to harness AI's potential while addressing concerns about safety, copyright, and trustworthiness. Business Lessons Learned Through our conversation, several key business lessons emerged: * Adopt Early, Adapt Quickly: The businesses that thrive will be those that not only adopt agentic AI technologies early but also adapt quickly to its evolving capabilities. * Streamline Operations: Investing in AI-driven tools can streamline operations, reduce costs, and enhance efficiency in unprecedented ways. It's vital to explore how these technologies can be leveraged within your organization. * Prepare for Change: As AI technology advances, it will likely change the landscape of various industries. Preparing for these changes now will position your business for future success. Micheal's Journey and the Future of AI Micheal's extensive background in AI and game development illuminated the importance of interdisciplinary knowledge. His journey from developing games to exploring deep learning and evolutionary computation was a testament to the unpredictable, yet rewarding, nature of technological innovation. Looking to the future, Micheal sees agentic AI systems becoming a mainstream part of our ecosystem. Like past technological revolutions, the AI revolution will shift how we work, think, and create, opening new avenues for innovation. In conclusion, our discussion with Micheal Lanham on agentic AI was insightful and thought-provoking. It's an exciting time in the world of artificial intelligence, and I'm thrilled to share this journey with you. For those eager to explore these topics further, keep an eye out for Micheal's upcoming book on building agentic systems and potentially breaking new ground in AI. Thank you for tuning in, and I hope you'll join us for future episodes of The HockeyStick Podcast as we continue to explore the forefront of innovation and technology. Cheers to an exciting future powered by AI! 00:00 Introduction to Agentic AI 00:33 The Evolution of AI and Agentic Systems 01:22 Writing a Book on Agentic AI 03:47 The Paradigm Shift in Software Development 07:08 Defining Agentic AI 10:01 The Future of Agentic AI 15:50 Practical Applications and Tools 19:41 Challenges and Considerations 33:00 Reflections on AI and Career 40:36 Conclusion and Future Projects This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.hockeystick.show…
In Episode 32, I had the pleasure of speaking with Mandy Morris LPC, a seasoned expert in psychology and therapy. Her journey from aspiring athletic trainer to innovative therapist, executive coach and co-creator of the Sofree app sheds light on crucial lessons for both personal and professional growth. We talked about vulnerability, stress, burnout, and how they impact leaders specifically and all individuals alike. Many is an amazing human being, and I hope you like our episode as much as I did. Enjoy! The Power of Vulnerability Our conversation kicked off with an exploration of vulnerability's role in forging meaningful connections. Mandy emphasized that true connection requires vulnerability, and with it comes the inherent risk of being hurt. Yet, this risk is essential for growth in our personal lives and professional relationships. In a world where leaders are often expected to have all the answers, admitting one's struggles can feel daunting. However, embracing vulnerability is not a weakness—it's a strength that can drive leadership success and deeper connections with teams. Redefining Stress and Burnout Stress was another significant topic we unpacked. Mandy described stress as an imbalance where demands outweigh resources, leading to an activation of the nervous system. This differentiation from anxiety, which concerns future uncertainties, offers a clearer understanding of workplace dynamics. Our discussion revealed how misunderstandings about stress contribute to burnout, especially in cultures that idolize overwork. As business leaders, recognizing the signs of burnout and addressing them proactively can help maintain healthier work environments and improve productivity. Business Lessons Learned From a business perspective, our conversation highlighted several valuable lessons: * Adopting Emotional Awareness : Emotional intelligence is not just a soft skill; it's a business imperative. Mandy stressed the importance of leaders understanding and managing emotions, both theirs and their teams'. This awareness fosters communication and problem-solving, leading to a more cohesive and effective work environment. * The Necessity of Asking for Help : Mandy pointed out that one of the biggest self-sabotaging behaviors in leadership is the reluctance to seek help. Good leaders leverage their teams, acknowledging that they cannot—and should not—bear every burden alone. Delegating and collaborating are key to sustainable success. * Balancing Productivity and Well-being : In a world where the hustle is glamorized, it's vital to distinguish between productive work and compulsive overworking. Recognizing when work is fulfilling versus when it serves as an escape can prevent burnout and promote long-term health and productivity. The Sofree App: A Game Changer for Stress One of the most exciting parts of our discussion was Mandy's introduction of the Sofree app. Designed to reset the nervous system within minutes using bilateral stimulation, Sofree aims to provide immediate stress relief, offering a practical tool for anyone overwhelmed by life's demands. This technology exemplifies how innovation can enhance mental well-being and supports the notion that immediate, accessible solutions are crucial in today's fast-paced world. Closing Thoughts As we wrapped up the episode, I was struck by the importance of fostering environments—whether in business or at home—that encourage open dialogue about emotions and challenges. Mandy’s insights reaffirmed that being vulnerable and asking for help are not just beneficial but necessary for growth and resilience. For those who are interested, the Sofree app is set to launch its beta version soon, promising an innovative approach to stress management. As always, I'm grateful for these conversations that inspire change and invite you to share your thoughts and experiences. Stay curious and keep striving for balance! Timestamps: 00:00 The Importance of Vulnerability in Connections 01:12 Personal Journey to Becoming a Therapist 02:15 Discovering EMDR and Its Impact 03:49 Executive Psychology Coaching and Writing 04:21 Creating the Sofree App 05:27 The Polarizing Nature of Therapy 08:01 Challenges Faced by Executives and Leaders 23:49 The Impact of the Pandemic on Mental Health 31:46 Understanding Stress and Anxiety 37:04 Introducing the Sofree App and Its Benefits 47:16 Final Thoughts and Future Plans This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.hockeystick.show…
Welcome to the 31st episode of the HockeyStick Podcast! I'm your host, Miko Pawlikowski, and today we have a conversation filled with insights and anecdotes about entrepreneurship in the tech world. Our guest is none other than Robert Ross , the founder and CEO of FireHydrant , who shares his remarkable journey, experiences, and the business lessons he's learned along the way. Introduction to Robert Ross Robert Ross, also known by his online moniker, Bobby Tables. Robert is a software engineer turned entrepreneur who has carved a niche for himself in the complex field of incident management. Through his company, FireHydrant, he has dedicated his work to making chaos management a little less chaotic for tech teams around the globe. Journey from Idea to Execution Robert's journey with FireHydrant began in 2017 when he first started coding the project, driven by his frustrations with the manual processes of incident management. It was his entrepreneurial spirit and hard work, coupled with a bit of luck, that led to FireHydrant's inception. He candidly shared his story of early mornings fueled by coffee in New York City cafes, coding before heading to his day job, and the unexpected turn of meeting an investor who believed in his vision. The Reality of Startup Life Starting a company is not all smooth sailing, and Robert didn't shy away from discussing the highs and lows of his journey. He emphasized the importance of having a supportive and communicative relationship with investors, which can make all the difference during challenging times. He advised that while capital is crucial, the value of having investors who are aligned with your vision and are genuine partners cannot be overstated. Business Lessons Learned One of the key takeaways from our conversation was the importance of understanding your market timing and customer base. According to Robert, building a product for yourself, in hopes others share your problem, is not enough. You need to ask the right questions about your target audience and ensure your solution is addressing their needs. Furthermore, he stressed the necessity of having a clear business plan and the ability to articulate how you plan to generate revenue. Here are some essential business lessons we discussed: * Set Deadlines: Give yourself a timeline to achieve certain milestones. If progress stalls, reassess and pivot if necessary. * Have a Clear Vision and Mission: Know what problem you're solving and ensure you can succinctly communicate this vision to others. * Identify Your Customer: Define your ideal customer profile. Understanding who would buy your product is crucial for your product's development and marketing strategy. * Revenue Model: Have a clear understanding of how your company will make money. A path to profitability is crucial, especially in today’s market where funding is more conservative. * Being Ready for Luck: Luck plays a significant role, but being ready to seize opportunities and make the most of them is even more important. Looking Ahead Robert’s vision for FireHydrant is not focused on just an exit strategy, like an IPO or acquisition. Instead, he aims to continually grow the company by delivering a high-quality product that resonates with customers. As he eloquently put it, success will come from hitting roadmap goals and revenue targets, not by aiming explicitly for buyouts or public offerings. Closing Thoughts Speaking with Robert was a stark reminder of the myriad of challenges and joys that come with entrepreneurship. It also reaffirmed the importance of facing these challenges with a blend of optimism, preparedness, and the willingness to innovate. Whether you're an aspiring entrepreneur or a tech enthusiast, Robert's journey offers valuable insights that can guide you on your own path to success. Thank you for joining us for this captivating episode of the HockeyStick Podcast. Stay tuned for more enlightening conversations with leaders who are shaping the future of technology and business. Until next time! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.hockeystick.show…
Today, we're privileged to explore the fascinating career of Ryan Yockey , a visionary who ventured from early web development to the heights of Super Bowl advertising. Let’s talk about startups, growth, and some major business lessons learned along the way. Ryan’s journey in numbers:→ 2 companies built past a $1B valuation→ 30+ years in the tech industry→ 100+ engineers led in high-growth corporations→ 100+ inputs incorporated into a proprietary decision tree algorithm→ $1B in annual revenue generated through sales pipelines From Humble Beginnings to Entrepreneurial Success Ryan's journey began in 1995, with an oversized book teaching him HTML. Fast forward to 2000, Ryan had already established a web development agency while still in high school. His early career reflects a lesson many budding entrepreneurs might resonate with: Start where you are, with what you have. Gradually building his agency teaches us the significance of leveraging initial skills to create substantial career opportunities. Navigating the Competitive World of Super Bowl Advertising A standout episode highlight was Ryan’s experience securing a Super Bowl ad for Farmer’s Dog, a fresh dog food company. Impressively, this opportunity arose from another advertiser dropping out last minute. Preparation met opportunity, and Ryan’s team mastered a Super Bowl-worthy commercial in just three weeks. This narrative underscores the importance of agility in business and being prepared to seize unexpected chances, no matter how daunting they might seem. Continuous Learning and Unwavering Perseverance Ryan’s diverse experiences—from scaling e-commerce operations at FabFitFun to tackling nutritional sciences with Habit—illustrate the advantage of remaining a lifelong learner. Ryan’s career is a testament to embracing change and continuously upgrading one’s skill set, proving it's essential to adapt and evolve in the ever-changing business landscape. Another business lesson here is commitment; as Ryan says, stick with a project through its challenges, and over time, you'll outlast competitors. Keep learning and stay curious. Business Lessons for the Aspiring Entrepreneur Here are some invaluable business lessons we can glean from Ryan’s journey: * Jump at Opportunities : Whether it's a sudden chance to advertise during the Super Bowl or acquiring knowledge from an HTML guide, seizing opportunities as they arise is crucial. Waiting too long could mean missing out. * Face the Hard Problems : Addressing difficult challenges head-on can set you apart. Whether it’s technical scaling in the e-commerce sector or compliance in biotech, hard problems often contain the most growth potential. * Endure and Evolve : Longevity in a particular field can establish expertise and credibility. It’s often those who persist through challenging phases that experience true breakthroughs. * Build Relationships : Like Ryan's relationship-building with TV networks for ad placements, nurturing strong professional connections can open doors to unexpected opportunities. * Leverage Past Experiences : Ryan’s work at Habit in personalized nutrition later influenced his role at Farmer’s Dog. Past projects and experiences can significantly inform and enhance future endeavors. Looking Forward Ryan's current focus at Farmer’s Dog and coaching emerging leaders indicates a journey that’s far from over. He’s not just scaling businesses; he’s also imparting wisdom gained from decades of diverse experiences. As we conclude, let’s take a moment to appreciate the power of perseverance and the excitement of embracing new challenges. Ryan Yockey’s journey showcases the remarkable growth one can achieve by leaning into passion and nurturing it with hard work and strategic thinking. Thanks for joining us on this enlightening ride. Stay tuned for more episodes where we uncover dynamic stories of entrepreneurial triumphs and the lessons that guide them. Until next time, keep pushing the boundaries! 00:00 The Last-Minute Super Bowl Commercial Opportunity 01:01 Behind the Scenes: Preparing for the Super Bowl Ad 02:38 Technical Challenges and Solutions 05:07 Securing the Super Bowl Ad Spot 07:43 The Farmer's Dog: A Fresh Approach to Dog Food 10:51 From FabFitFun to Farmer's Dog: Scaling E-commerce 17:56 The Habit Experience: Personalized Nutrition 29:03 Early Ventures: DNA Art and Web Development 41:30 Advice for Aspiring Entrepreneurs 44:13 Conclusion and Final Thoughts This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.hockeystick.show…
Introduction Welcome to Episode 29 of the HockeyStick Podcast, where we delve into breakthroughs in tech, business, and personal performance. In this episode, Dominic Vogel shares his transformative journey and the lessons he learned moving beyond the rigid confines of corporate identity. From Corporate Gargoyle to Passionate Freedom Dom Vogel candidly recounts his experience of morphing into a "corporate gargoyle," a term he uses to describe the heart of stone that developed within him during his corporate tenure. This transformation, fuelled by burnout, was visible even to his family, who noted the cynicism and misery that seemed to accompany him home. Gratitude Through Adversity However, rather than fall into the trap of self-pity, Dom chose gratitude for this period of struggle. It became a catalyst for reconnecting with his passions and a higher version of himself. This phase of introspection set him on a path of self-discovery, leading to the realization of untapped potential and the emergence of different versions of himself that he hadn't previously recognized. Creating Genuine Connections Crucial to Dom's journey was the understanding that authenticity and real connections matter far more than perceived realities. This meant stepping beyond the technical domains where he excelled, venturing into a place where technology and human factors intersect. Communicating and Building Emotional Proximity For Dom, this new path involved developing strong communication skills and learning to be an empathetic listener. His goal? To captivate and engage audiences beyond technical circles, making discussions around technology both approachable and meaningful to everyone. In his journey, he discovered the value of deep, emotional connections in friendships, which can far surpass the limitations of physical proximity. Conclusion Dom Vogel's story on the HockeyStick Podcast is an inspiring reminder that while the tech landscape can be demanding, finding one's true purpose and establishing genuine connections are vital for personal growth. His journey serves as a compelling testament to the power of transformation, empathy, and communication in bridging the gap between technical prowess and human connection. Tune in to learn more about how breakthrough moments in tech, business, and life can change the trajectory of our existence.0:00 The Corporate Gargoyle: A Journey of Burnout and Self-Discovery 1:14 From Corporate Ladder to Entrepreneurial Freedom 2:26 The Evolution of Cyber Leadership and Coaching 4:08 Balancing Professional Passion with Personal Life 5:40 Recognizing and Overcoming Burnout 10:51 The Importance of Humanity in Technology 17:02 Hiring for Empathy and Cultural Enhancement 19:13 Cinematic Scenes and Human Nature 20:13 The Transactional Nature of Modern Relationships 22:36 The Impact of Social Media on Friendships 25:40 Emotional Proximity in the Digital Age 29:14 Transforming Leadership Through Kindness 34:19 The Kindness Project and Final Thoughts This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.hockeystick.show…
Welcome to episode 28 of the HockeyStick podcast, where we dive into groundbreaking advancements in technology, business, and performance. In this episode, our host Miko Pawlikowski sits down with Bill Mulligan from Isovalent to discuss the fascinating world of eBPF, its impact on modern computing, and its promising future. Documentary we talk about on YouTube: Understanding eBPF: Superpowers for Linux eBPF is a transformative technology, offering superpowers to the Linux operating system and others. Bill Mulligan likens it to what JavaScript brought to the browser, moving from static web pages to interactive, dynamic experiences. eBPF allows us to inject programs into the Linux kernel, enabling real-time interaction and innovation that previously took years to achieve. Brendan Gregg, a key figure in this space, describes eBPF as revolutionizing the pace at which kernel-level innovations can happen. A Candid Journey with eBPF Bill shares his personal journey into the world of eBPF, from writing his own job description for his role at Isovalent to navigating the complexities of Linux internals. His path is an inspiring story of serendipity and strategic career moves, ultimately leading him to be part of a transformative technological wave. The Enabling Power of eBPF eBPF extends its benefits beyond networking. It empowers developers with faster networking, enhanced observability, and improved security. A key innovation in eBPF is the verifier, ensuring that any programs loaded are safe and performant, protecting the kernel's integrity—a crucial feature emphasized in large-scale deployments. Inspiring Stories of Innovation The eBPF documentary captures the journey from its inception to its current state as a critical force in open-source and enterprise computing. Mulligan highlights the collaborative nature of the open-source community, where brilliant minds like Daniel Borkman, Alexi, and Brendan Gregg worked together to reshape the possibilities within kernel programming. The Future of eBPF and Its Ecosystem Looking ahead, eBPF continues to evolve, with exciting developments around integrating with GPUs and DPUs, highlighting its potential beyond traditional computing environments. This flexibility is what makes eBPF a crucial tool in the growing world of distributed computing and AI. One of eBPF's significant ongoing projects is Cilium, an open-source networking layer that leverages eBPF to provide robust networking and security solutions. Cilium's growth and adoption by major cloud providers highlight its importance in modern cloud-native architectures. Personal Reflections on Technology’s Impact Bill Mulligan emphasizes the balance between technological pursuits and personal passions. As an avid surfer and a bike-packing enthusiast, he reflects on how advances in technology, like eBPF, enhance daily life by building better foundational systems, highlighting the intersection of tech and lifestyle. Conclusion The conversation leaves listeners with an appreciation for eBPF's potential to redefine performance and security in operating systems. With its ability to provide programmability and flexibility at the operating system level, eBPF is set to be a cornerstone in the next generation of computing innovations. For those just beginning their journey into eBPF, resources abound, from beginner-friendly guides to community contributions, enabling everyone to explore, learn, and innovate using this transformative technology. Keep an eye on future developments, as the intersection of eBPF with emerging tech trends promises exciting changes ahead. As we continue to explore these technological advancements, HockeyStick remains your go-to podcast for insights into breakthrough technology and performance. 00:00 Introduction to eBPF: Superpowers for Linux 00:47 Bill Mulligan's Journey to eBPF 07:25 Understanding eBPF's Impact and Potential 17:31 The eBPF Documentary and Community 22:00 Key Figures Behind eBPF 24:25 The Power of Open Source Collaboration 25:28 The Ultimate Trojan Horse: eBPF's Journey 26:13 Getting Started with eBPF 27:15 Exploring eBPF Resources and Community 30:25 eBPF Summit and Conferences 32:32 Cilium: The Leading eBPF Project 36:53 Microsoft's eBPF Initiative 39:21 The Future of eBPF and Cilium 45:13 Personal Reflections and Future Excitement 46:47 The Story Behind the eBPF Logo This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.hockeystick.show…
Welcome to Episode 27 of the HockeyStick podcast—your guide to breakthroughs in tech, business, and performance. In this edition, we dive deep into the dynamic world of quantum computing with Constantin Gonciulea and Charlee Stefanski, exploring why this pioneering technology is captivating minds across industries. Get Constantin and Charlee's book 45% off with code hockeystick24 at https://www.manning.com/books/building-quantum-software The Promise and FOMO of Quantum Computing The allure of quantum computing stems largely from its promise and the fear of missing out. As Constantin succinctly put it, "It's because of the promise and the fear of missing out mainly, right?" In a field where being an early adopter can establish leadership, banks and other institutions are keenly observing quantum computing's potential to revolutionize operations and problem-solving. Unveiling Quantum Mysteries: A Different Approach Joining us, Charlee Stefanski shared her unique journey into the quantum space, emphasizing the different, less traditional pathway she took, building her experience on-the-job at Wells Fargo. Quantum computing, much like the transition from toy problems of classical computing in the 1940s to widespread use, presents a parallel journey. As Constantin iterated, being "quantum ready" when large-scale production becomes feasible is essential. Practical Steps into the Quantum Realm Miko Pawlikowski, our host, navigated the discussion towards practical applications and the current state of quantum technology. Although real quantum computers are not yet in full production capacity, partnerships with giants like IBM allow access to cutting-edge quantum machines. Quantum computing today is more of a sophisticated, albeit expensive, academic exercise than a day-to-day operational tool—an understanding echoed by Constantin. Demystifying Quantum Basics: The Role of Education Charlee and Constantin's recent book, aimed at developers and those curious about quantum computing, simplifies quantum concepts to approachable levels. They elucidate on core ideas, focusing on hands-on learning with Python and Rust simulators. Set to be released early next year, their book caters to both freshmen and seasoned developers looking to dip their toes in the quantum waters. Quantum Foundations and Innovations The core of understanding quantum computing lies in its foundational principles—the quantum state, measurement, and what Constantin refers to as the "butterfly pattern". Charlee explained how the book guides readers through these basics before delving into complex algorithms like Grover’s optimizer and other transformative quantum procedures. A Future of Quantum Curiosity Upon closing the discussion, a tantalizing question was posed: Should software engineers invest their time in exploring quantum computing? The consensus? Jump in if it piques your interest. With cloud-based quantum resources becoming more accessible, the barriers are as much about curiosity and initiative as they are about technology itself. Exploring Further For those eager to learn more, Constantin and Charlee recommend visiting learnqc.com for resources, simulators, and more insights into their work. Thank you for tuning in to this enlightening episode of the HockeyStick podcast. As technology evolves, so do our conversations surrounding breakthroughs, challenging us to think beyond the conventional. Stay curious, and catch us next time for more on tech, business, and performance innovation. 00:00 Introduction to Quantum Computing Hype 00:39 Meet the Experts: Constantine and Charlee 00:43 Journey into Quantum Computing 01:41 Why Banks are Investing in Quantum Computing 02:28 Current Applications and Limitations 03:05 Understanding Quantum Computing Fundamentals 04:38 Quantum Parallelism and Measurement 06:14 Availability and Practicality of Quantum Computers 07:24 Developing Quantum Software 11:38 Writing the Book: Building Quantum Software 14:39 Foundations of Quantum Programming 25:46 Core Algorithms and Patterns 34:39 Future of Quantum Computing and Accessibility 37:42 Conclusion and Resources This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.hockeystick.show…
Welcome to Episode 26 of the HockeyStick podcast, a show dedicated to exploring breakthroughs in tech, business, and performance. In this episode, we dive deep into the intersection of artificial intelligence, statistics, and causality with Robert Osazuwa Ness , a statistician and data scientist who offers fascinating insights into these fields. Get Robert’s book “Causal AI” 45% off with code hockeystick24 at https://www.manning.com/books/causal-ai Discovering Causality and Language Models Robert Osazuwa Ness shares his unique journey that brought him to the forefront of causality in machine learning. Initially driven by interests in development economics and fieldwork in Tibet, Robert eventually found his passion in statistics, pivoting from logistics to numbers. His story is a testament to how unexpected transitions can lead to impactful contributions in scientific fields. Throughout the conversation, Ness tackles the complex elements of causal AI and counterfactual reasoning, explaining how these concepts contribute to the development of intelligent systems. He recounts how a significant influence came from working in neural networks and graphical models, areas where systems biology and statistical proteomics intersect with artificial intelligence. Causal AI: Bridging Diverse Disciplines Robert emphasizes that causal AI is a breakthrough in the realm of data science and machine learning. He notes that knowledge from diverse fields such as econometrics, public health, and statistics combines to address complex problems in AI. Ness believes that causal AI could transform the way we approach machine learning frameworks, making models not just reactive but proactive in understanding causal relationships. During the episode, Robert highlights his upcoming book, "Causal AI," a practical guide aimed at data scientists eager to grasp causal data science using familiar tools like PyTorch. This book targets professionals who wish to manage or build causality-driven applications, making it an essential resource for those navigating the expansive field of AI. Navigating Next-Gen AI Challenges Robert and host Miko Pawlikowski delve into the potential for AI to emulate human inference processes, using examples like a Robobutler capable of assessing emotional cues. The conversation underscores the challenges of developing AI systems that align with human norms and values. They discuss the intricacies of translating causal inference methods into actionable insights for intelligent agents. While Robert acknowledges the current challenges within causal AI, he remains optimistic about advancements in the field. Future breakthroughs, he argues, lie in granting intelligent agents the ability to not only understand but also intervene and experiment within their environments—a key step towards achieving more human-like comprehension and problem-solving abilities. Future Vision and Takeaways As the episode draws to a close, Robert Osazuwa Ness shares his forward-looking views on integrating causal inference into AI and machine learning practice. He envisions a future where intelligent agents can autonomously collect data, hypothesize, and analyze, mirroring human scientific inquiry. For those keen on exploring the depths of causal AI and its practical applications, Robert’s book promises to be a comprehensive and invaluable guide. Aspiring data scientists and AI enthusiasts can look forward to a resource that not only simplifies complex concepts but also equips them to implement cutting-edge models. Be sure to check out "Causal AI" on Manning.com. This episode serves as a rich primer on the importance of causality in AI, showcased through Robert’s expert perspective and the exciting prospects of his ongoing research. Thank you for tuning into this episode of the HockeyStick podcast. Stay tuned for more discussions on groundbreaking technologies, innovative business strategies, and peak performance insights. 0:00 Introduction 1:07 Balancing Personal Life and Work 1:20 Zombie Fungus and Economics Field Work 1:35 Transition to Statistics and Machine Learning 3:49 Causal Machine Learning and Research Interests 5:52 Popular Workshops and Upcoming Book 17:02 Exploring AI, Norms, and Legalities 27:25 Future of Causal AI and Embodied AI 29:17 Concluding Thoughts and Future Work This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.hockeystick.show…
Introduction Welcome to episode 25 of the HockeyStick podcast, where we delve into breakthroughs in tech, business, and performance. In today's episode, Miko Pawlikowski sits down with Kolton Andrus, a well-known figure in the SRE and chaos engineering space. As the founder of Gremlin and a seasoned engineer, Kolton shares his insights into the evolution of chaos engineering, the challenges it faces, and his thoughts on the future of the industry. The Journey of Chaos Engineering Kolton Andrus begins by discussing the foundational ideas of chaos engineering. "It's about taming the chaos," he explains. The primary goal is to find system edges and handle them efficiently, ensuring reliability. Kolton emphasizes that organizations should invest in reliability as it is often a multimillion-dollar problem. Shifting Roles at Gremlin Kolton moved from being the CEO to the CTO of Gremlin. "It's been a journey," he reflects, noting that he felt his talents were best served in a technical role. This shift allowed him to work on product development and address the problems within chaos engineering more thoroughly. The Importance of Chaos Engineering Chaos engineering is an emotional topic for many SREs, like Miko Pawlikowski. It deals with intentionally injecting failures to test system resilience. Kolton highlights that the engineering part is crucial, "because whenever you tell someone I do chaos engineering, they think you're the joker… And that's the mistake." The Branding Dilemma While the concept and technique of chaos engineering are sound, its branding remains a challenge. The term "chaos" doesn't sit well with corporate executives. Kolton shares that although they leaned into the fun branding with Gremlin, it sometimes backfired. Executives want maturity and reliability, not something perceived as "immature." Marketing and Acceptance Marketing has always played a significant role in the adoption of chaos engineering. Many organizations found the name off-putting. Kolton notes that reliability engineering or resilience engineering might be better terms. The focus is on explaining to the stakeholders the benefits and necessity of adopting such practices. Gamification in Engineering One of the challenges in chaos engineering is getting organizations to adopt it systematically. Kolton mentions creating a rubric and scoring system for services, helping teams see their progress. "If you want people to do the right thing, you need to make it easy," he asserts. The Evolving Landscape Kolton acknowledges that the gaming industry, despite its need for reliable systems, often lags in adopting such practices. He points out that people are generally resistant to changes, especially when they seem complex or unnecessary. Lessons Learned and Future Prospects Over the eight years of Gremlin's journey, Kolton has faced numerous ups and downs. From being told they had product-market fit to being told they did not during the pandemic, it has been a learning experience. "It's super hard when it's your baby," Kolton admits, but the key is to keep iterating and improving. Intelligent Health Checks Gremlin's latest features focus on intelligent health checks, enabling even those without robust monitoring systems to understand their system's health. "How do we take the expertise that me and a lot of the engineers on my team have learned…and embed it into the product?" Kolton asks. AI in Reliability The conversation also touches on the role of AI in reliability engineering. Kolton is skeptical about the current AI capabilities. He believes AI can assist in guidance and analysis but cannot replace the need for deterministic solutions in complex distributed systems. Kolton's Philosophy Kolton's closing thoughts are reflective and grounded. He advocates for incremental improvements, "do a little better every day." This philosophy, he believes, applies not only to engineering but also to personal development. Conclusion Kolton Andrus's journey through chaos engineering and reliability offers valuable insights for anyone in the tech industry. His experiences underscore the importance of resilience, not just in systems but also in navigating the challenges of innovation and acceptance. Tune in to the full episode for an in-depth discussion on the future of chaos engineering and much more. 00:00 Introduction to Chaos Engineering 01:07 About Kolton Andrus 01:25 The Journey of Gremlin 02:01 The Evolution of Chaos Engineering 04:55 Challenges and Misconceptions 11:20 Real-World Examples and Impact 17:08 The Future of Chaos Engineering 21:04 The Expert vs. The Easy Button 21:19 Aligning Incentives for Reliability 22:51 Scoring and Gamification in Reliability 25:25 Industry Adoption and Challenges 28:02 The Human Element in Reliability Engineering 30:44 Reflections on Gremlin's Journey 35:04 Future Directions and AI in Reliability 41:44 Final Thoughts and Philosophy This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.hockeystick.show…
Welcome to Episode 24 of The HockeyStick podcast, where we delve into breakthroughs in tech, business, and performance. In this episode, our host Miko Pawlikowski sits down with Emmanuel Maggiori, an AI consultant, writer, and speaker who is on a mission to debunk much of the hype surrounding tech and AI. They explore the triumphs, challenges, and sometimes the dark side of AI and tech innovation. Read on to get insights from their engaging conversation. Behind Every Successful AI Project Emmanuel Maggiori notes that for every successful AI project, there are about 20 that fail. Using the infamous startup Juicero as an example, Emmanuel emphasizes how the hype surrounding AI often overshadows its limitations. Juicero, which created an exorbitantly priced juice machine, is a testament to the dangers of tech hype. The Realities of AI Hype and Failures One aspect that Emmanuel draws attention to is the common oversight in the AI industry: AI's mistakes, or "hallucinations," are not quick fixes. Engineers are often distracted by the allure of solving non-existent problems while ignoring tangible issues. For instance, despite millions of dollars in investment and vast talent, industries like self-driving cars have not lived up to promises, leading to their decline. The AI Bubble Will Burst Miko brings up Emmanuel’s book, "Smart Until It's Dumb: Why Artificial Intelligence Keeps Making Big Mistakes and Why the AI Bubble Will Burst." Rather than sugarcoating AI’s potential, Emmanuel emphasizes the cyclical nature of tech hype, comparing the AI bubble to blockchain and other overhyped technologies. The fascination with creating machine intelligence often overshadows practical, user-friendly applications. Human-Centric Innovation A critical point that Emmanuel circles back to is the necessity of focusing on real customer needs, instead of developing technology for technology's sake. He uses the example of Amazon’s AI-based supermarkets, which aimed to eliminate checkout lines but ultimately failed technically and commercially. This tech-first approach led to a solution that nobody truly needed. AI in Daily Lives Despite the setbacks and hype, Emmanuel and Miko agree that AI has found meaningful applications in daily life. Applications with low stakes, like hotel review translations and e-commerce recommendations, have seen successful AI integrations. Furthermore, tools like ChatGPT have become valuable assistants, helping people with coding or improving their written English. Pitfalls in Tech Investment Addressing the darker sides of the industry, Emmanuel shares insights from his book "Siliconned," which delves into the pitfalls of tech investment driven by hype rather than substance. Low interest rates and the abundance of venture capital have led to misallocated resources, culminating in projects that add little value, exemplified by companies like Juicero and WeWork. The Role of Cheap Money Emmanuel expounds on how cheap money has led to a proliferation of startups and tech projects often lacking real value. He provides a detailed analysis of how economic policies, such as low interest rates and venture capital structures, contribute to this phenomenon. This influx of money has driven the incessant need to hype products and technologies, often resulting in companies that prioritize appearances over actual utility. Looking to the Future As the conversation draws to a close, Miko asks Emmanuel to put on his futurist hat. Emmanuel predicts that while AI will certainly become a tool we use increasingly in our daily lives, it’s unlikely to be as transformational as initial internet adoption. He foresees that many commercial AI applications will fall short of expectations due to persistent issues like hallucinations. However, he acknowledges the potential for cost optimizations that could make AI more accessible and efficient. Conclusion Episode 24 provides a realistic lens through which to view the promises and pitfalls of AI and tech innovation. Emmanuel Maggiori’s grounded insights serve as a reminder to temper our expectations and focus on real problems that need solving. For those interested in digging deeper, his books "Smart Until It's Dumb" and "Siliconned" are essential reads. Stay tuned for more fascinating discussions on The HockeyStick podcast, where we continue to explore the fulcrum points of tech, business, and performance. 0:00 Intro 1:05 Introducing Emmanuel Maggiori and His Book 2:38 The AI Hype Cycle: Past and Present 5:07 The Practical Uses and Limitations of AI 6:18 The Fascination and Misconceptions About AI 9:38 The Amazon Go Experiment 14:05 AI Winters: A Brief History 18:04 The Misleading Success of AI in Games 23:31 The Challenges of AI in Real-World Applications 44:54 Human vs. AI: The Ethical Dilemma 46:16 Elon Musk and the Hype of Self-Driving Cars 48:38 The Economics of Hype: Tesla, WeWork, and Beyond 53:45 The Dark Side of AI: Shady Practices and Fake Solutions 01:07:46 The Impact of Cheap Money on Tech Innovation 01:12:26 Future Predictions: AI's Role and Economic Theories 01:26:44 Conclusion and Upcoming Projects This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.hockeystick.show…
Welcome to episode 23 of the HockeyStick podcast, where we dive into groundbreaking advancements in technology, business, and performance. In this episode, host Miko Pawlikowski sits down with Ravi Ramachandran and Dave Brewster, two-thirds of the co-founder team at Eidolon AI , to discuss the intricacies of AI agents and their potential to transform industries. What is an AI Agent? Kicking off the discussion, Miko asks, "What the hell is an AI agent?" Dave Brewster elucidates that an AI agent is essentially the smallest atomic unit capable of providing an autonomous answer. These agents can range from complex systems that debug code to simple tools that search documents. At the heart of their definition lies the element of autonomy—a pivotal characteristic that distinguishes these agents. The Trust Issue Miko raises an important concern about trust, given that even advanced AI models like ChatGPT sometimes "make things up." Dave explains that trustworthy AI agents need built-in fault tolerance. He points to Claude as an example of an AI that internally checks its processes, ensuring reliability. For enterprises, trust also extends to data governance, ensuring that sensitive information remains secure. Market Maturity and Observability Ravi sheds light on market maturity, explaining that apprehensions often stem from the evolving nature of technology. Miko elaborates on the limitations he faces as a software engineer, particularly the limited observability within LLM (Large Language Models). Dave acknowledges this challenge, emphasizing the need for multi-query, fault-tolerant systems that can better manage and debug AI outputs. Building Practical AI Agents When asked about their unique selling proposition at Eidolon AI, Ravi and Dave stress the importance of practical deployment. They describe their AI agent server, which focuses on easy integration and management using Kubernetes. By leveraging Kubernetes, the team ensures scalability, security, and seamless integration with existing infrastructures. Real-World Applications Miko presents a hypothetical yet practical use case: an AI agent that could analyze Slack history to gauge the need for a coffee break, estimate work hours, and notify his wife via text. Dave responds affirmatively but notes that while they don't have a Slack loader or text capability, integrating services like Twilio would be straightforward. Production Use Cases Dave shares real-world applications where AI agents have already made a significant impact, such as acting as API gateways to simplify calling multiple endpoints or using AI to detect fraudulent insurance claims. These use cases highlight the versatility and potential of AI agents in day-to-day operations and specific enterprise needs. The Future of AI: Memory and Beyond Dave and Ravi delve into the future, pointing to the compelling concept of adding memory to AI agents. Memory would allow agents to learn and adjust based on past interactions, dramatically enhancing their utility. This advancement could revolutionize everything from personal productivity tools to complex enterprise solutions. Ethical Considerations The conversation takes a philosophical turn as Miko and Dave discuss the ethical implications of AI and potential misuse. Dave stresses that while AI can enhance productivity, it's crucial to use these advancements responsibly to avoid dystopian outcomes. Open Source and Community Engagement Ravi emphasizes Eidolon's commitment to making AI accessible to everyone. This open-source philosophy extends to their working structure, where daily standups are open to public participation, fostering a transparent and collaborative environment. Conclusion In this enlightening episode, Ravi and Dave offer a nuanced perspective on the current state and future of AI agents. As they continue to push the boundaries of what's possible, their work at Eidolon AI stands as a testament to innovation, collaboration, and responsible technology development. If you're intrigued by the possibilities AI agents present and how they can revolutionize both your personal and professional life, tune in to the full episode of the HockeyStick podcast. You won't want to miss the insights from these pioneers in the AI industry. 0:00 Introduction to AI Agents 0:38 Meet the Founders of Eidolon AI 0:59 Defining AI Agents 2:05 Challenges and Trust in AI Agents 7:54 Eidolon AI's Unique Approach 8:42 Building and Deploying AI Agents 16:54 Use Cases and Practical Applications 25:31 Autonomous LLM Use Cases in Insurance 26:49 Future of LLMs: Memory and Context 27:17 Challenges and Opportunities with LLM Toolkits 29:04 Integrating Memory into LLM Systems 30:40 Real-World Applications and Ethical Concerns 32:49 Advancements in LLM Memory Research 34:59 Future Breakthroughs and Practical Implementations 43:25 Building Open and Accessible AI 46:15 Conclusion and Final Thoughts This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.hockeystick.show…
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