Plain Sight

In this episode of the Plain Sight podcast, Stewart Alsop interviews Fernando Tarnagol, an AI team training lead at Invisible Technologies. Fernando discusses various topics, including significant AI advancements as seen in Google's public ventures into generative image territory, the integration of BARD into Google and his experiments on AI training. He also shares some fascinating insights on AI's potential future developments and how it could impact our world. Fernando compares the evolution and application of AI to exploring uncharted waters and the need for humans to adapt rapidly to survive. He also expresses his expectation for the rise of general artificial intelligence and the challenges it may bring to entities such as corporation and bureaucracy. Check out the GPT we trained on this conversation Timestamps 00:02 Introduction and Guest Background 00:41 AI Developments and Google's Role 02:13 The Impact of Corporate Politics on AI Progress 03:15 Exploring the Crypto World 03:32 Guest's Journey into AI 06:01 The Intersection of Psychology and Technology 06:58 The Advent of Blockchain and AI 09:18 The Challenge of Predicting the Future of AI 10:14 The Paradigm Shift in Science and Society 13:02 The Future of AI: Opportunities and Concerns 17:10 The Difficulty of Mastering Multiple Fields in the Age of AI 24:22 Adapting to the Rise of AI 25:25 The Importance of Learning in the AI Era 26:23 The Surprises of AI Training 27:18 The Challenges and Evolution of AI Training 30:23 The Unique Culture of Invisible 31:32 The Future of Corporations and AI 39:27 The Potential Dangers of AI 41:06 The Role of AI in Bureaucracy 42:54 The Possibility of Local AI Models 44:52 Closing Thoughts and Contact Information Key Insights Google's AI Developments: Fernando highlights Google's recent advancements in generative image AI and integration with BARD. This move is significant in the AI landscape, showing Google’s effort to catch up and integrate AI into its various platforms. Corporate Dynamics and Innovation: Fernando discusses the challenges large corporations like Google face when innovating, such as the constraints of corporate politics and shareholder expectations. In contrast, startups or stealth companies can be more disruptive due to their agility and freedom from such constraints. Fernando's Diverse Background: His journey from working in call centers to VR/AR development and blockchain technology showcases the interdisciplinary nature of modern tech careers and the importance of adaptability in rapidly evolving fields like AI. AI as a New Paradigm: Fernando and Stewart discuss the paradigm shift from deterministic to non-deterministic models in technology. They reflect on how AI represents a significant leap in this direction, marking a transition to more complex, less predictable systems. Impact of AI on Society and Future Predictions: The discussion acknowledges the profound changes AI will bring, emphasizing the challenges in predicting the future due to the rapid pace of AI development. Fernando stresses the importance of adaptability and continuous learning to keep pace with these changes. Role of AI in Training and Learning: Fernando talks about the evolving methods of AI training, highlighting the need to constantly adapt and upskill to meet the changing demands of AI development and training. Invisible Technologies' Unique Approach: Fernando appreciates how Invisible Technologies treats contractors, emphasizing a culture that extends beyond traditional corporate boundaries. This approach helps create a more cohesive, inclusive work environment. AI’s Potential in Bureaucracy and Everyday Tasks: There's a discussion about how AI could significantly streamline bureaucratic processes, making life easier and more efficient for individuals. Local vs. Cloud-based AI Models: Fernando sees benefits in both local and cloud-based AI models. Local models can be useful in situations without internet access, while cloud-based models offer more power and resources. Ethical and Security Concerns of AI: The interview touches on the potential dangers of AI, especially in the wrong hands, and the importance of ethical considerations and security in AI development.

In this episode of the Plain Sight Podcast, Grace Matelich, the Executive Director of Operations at Invisible Technologies, discusses the experiences and challenges of working in a rapid, hyper-growth environment. She shares her thoughts on nurturing the personal and professional growth of her ever-expanding team, managing the 'remote-first' aspect of the work in a constantly evolving dynamic, and the exciting and demanding ride of being part of an innovative tech company. Additionally, Grace dives into artificial intelligence, its capabilities and potential in terms of knowledge management, content creation, and transforming our understanding of the world. She also expresses her vision on the concept of AI as a mirror and its potential implication on society. Check out this GPT we trained on this episode Timestamps 00:02 Introduction and Guest Welcome 00:21 Discussing Hyper Growth in Invisible Technologies 00:57 The Challenges and Excitement of Rapid Company Growth 01:25 Navigating Remote Work and Hyper Growth 03:23 Exploring the Concept of AI as a Mirror 04:23 The Emotional Capacity of AI 07:48 The Importance of Diverse Training Teams in AI 08:35 The Future of Content Creation with AI 16:08 The Role of AI in Multilingual Communication 20:43 Personal Growth in the Midst of Hyper Growth 26:18 Overcoming the Mindset of Finite Energy 27:38 The Importance of Self-Care and Connection 28:30 Managing a Growing Team: Challenges and Strategies 29:24 The Art of Leadership and Mentorship 30:38 The Power of Mindfulness and Reflection 36:15 Navigating Hyper Growth Environments 42:23 The Future of Knowledge Management 47:01 The Tax of Progress and the Future of Autonomy Key Insights Hyper-Growth in Companies: Grace describes the experience of working in a hyper-growth environment as both exhilarating and demanding. She likens it to "flying in a rocket ship," highlighting the rapid changes and challenges it presents. Remote Work Dynamics: With extensive experience in remote work, Grace doesn't focus much on the remote aspect, suggesting it's become second nature to her. She emphasizes the importance of asynchronous communication and creating connections in a remote setting, especially in a hyper-growth environment. AI as a Mirror of Humanity: Grace discusses AI's role as a reflection of humanity since it is trained on human data. She explores the idea that AI, much like humans, can be seen as a "hallucination machine" creating content based on the data it has learned from. Emotional Capacity in AI: The conversation touches on the current state of AI and its lack of emotional capacity. Grace argues that while AI can mimic emotions on the surface, it does not have a grounded experience of life and emotions like humans do. Knowledge Management in Hyper-Growth Environments: Grace points out the challenges of knowledge management in a rapidly changing environment. She stresses the importance of prioritization in knowledge capture and the need for scalable methods to disseminate knowledge effectively. Personal Growth Amidst Organizational Changes: Grace shares her personal approach to managing growth, both for herself and her team. She talks about the importance of self-management, consistency, and setting personal boundaries to ensure effective leadership and team support. Future of Content Creation: Grace envisions a future where AI could play a significant role in content creation, speculating about a world where shows like "Friends" could be created based on user specifications. Role of AI in Expanding Human Creativity and Content Consumption: The discussion delves into how AI might change our interaction with content, potentially leading to a higher appreciation for live performances and human creativity. Challenges in Multilingual AI Training: Grace discusses the complexities of training AI in multiple languages, which requires a diverse team of trainers and a deep understanding of each language's nuances. Philosophy and Mindset for Handling Rapid Growth: Grace reflects on the importance of awareness, reflection, and the ability to adapt strategies in a hyper-growth environment. She emphasizes the need for a balance between broad vision and focused problem-solving.

In this episode of the Plain Sight podcast, Stewart Alsop talks with Rene Arias, an indispensable team member serving as the Information Technologies Administrator at Invisible Technologies. Rene shares the roots of his nickname, 'Hermes', and how he earned it through his reliable and swift problem-solving skills from the early days of the company. He also details his unexpected journey to Invisible, moving from chinchilla rancher to tech expert. Rene delves into how the sense of community and shared goals in a startup such as Invisible Technologies fosters trust. He also outlines how an AI revolution has unfolded within the company during his time there. This episode provides glimpses into both the professional and personal lives of Rene, including his intriguing encounters with his African Grey parrot, Leia. Check out this GPT we trained on this episode Timestamps 00:02 Introduction and Guest Presentation 00:08 Rene's Role at Invisible Technologies 00:28 The Story Behind Rene's Nickname 'Hermes' 01:51 Rene's Journey to Invisible Technologies 03:39 Rene's Career Progression at Invisible Technologies 04:41 Rene's Experience of Becoming a Partner 07:15 Rene's Previous Work Experiences 07:33 Rene's Experience Working at a Chinchilla Ranch 14:59 The Role of Trust in Invisible Technologies 20:41 Rene's Role in the AI Revolution at Invisible Technologies 23:12 Rene's Unique Role and Trust in the Organization 33:27 Rene's Pet Parrot and Chinchilla 41:54 Conclusion and Contact Information Key Insights Role at Invisible Technologies: Rene Arias serves as an Information Technologies Administrator at Invisible Technologies. He plays a crucial role in resolving technical issues and is highly regarded for his efficiency and reliability, earning him the nickname "Hermes" after the Greek messenger of the gods. Joining Invisible Technologies: Rene's journey to Invisible began through a Facebook post by Skylar Stevens, a former partner at Invisible. His pre-existing trust and reputation led to him being hired for a role initially termed as "the century role," reflecting his responsibility in guarding sensitive information and managing internal processes. Career Evolution at Invisible: Rene has experienced significant growth in his career at Invisible Technologies, evolving from an agent to a specialist, and ultimately to a partner by the end of 2021. His promotion to partner was a recognition of his dedication and hard work, particularly his close collaboration with Francis Pedraza, the former CEO. Work Experience Prior to Invisible: Before joining Invisible Technologies, Rene worked in various roles, including as a Lyft driver, a waiter, and interestingly, at a chinchilla ranch. His responsibilities at the chinchilla ranch included caring for the animals and ensuring they found good homes. The Startup Environment: Rene's experience at Invisible Technologies marks his first foray into the startup world. He highlights the sense of community and collaboration at Invisible, despite being a remote company. The startup environment at Invisible is characterized by a shared goal and collective progression. Remote Work Culture at Invisible: Rene discusses the successful implementation of a remote work culture at Invisible. He attributes this success to a strong emphasis on culture and community, allowing for open communication and creative freedom among employees. Impact of AI on Invisible Technologies: Rene has witnessed the integration and evolution of AI within the company. He compares this experience to being part of a pioneering phase similar to the early days of the dot-com era, highlighting the potential of AI to transform processes and efficiencies within the company. Rene's Personal Interests: Outside of his professional life, Rene has a passion for parrots, particularly his African Grey parrot named Leia. He shares interesting anecdotes about Leia's intelligence and personality, demonstrating his deep interest in and knowledge of animal behavior. Trust and Dependability: Trust is a central theme in Rene's role at Invisible. He is seen as a dependable figure within the organization, with a unique ability to handle sensitive information and manage various internal systems effectively. Unique Contributions and Job Satisfaction: Rene expresses a sense of pride and fulfillment in his role at Invisible, acknowledging the uniqueness of his contributions across different departments and the trust placed in him by his colleagues.

In this episode of 'Plain Sight' podcast, Stewart Alsop welcomes Ai Yukino, Data Scientist at Invisible Technologies. The discussion covers how Invisible Technologies aims to make complex business problems disappear through its innovative approach. Ai shares her perspective on the evolving world of artificial intelligence and data science, detailing her thought process and experiences. They also delve into the tools used for data science, the concept of locally-hosted AI, machine learning, and the future of AI in mobile devices. The podcast wraps up with a conversation about potential challenges in coding and AI model implementation. Ai also highlights her upcoming work in self-hosted models at Invisible Technologies. If you subscribe to GPT4, check out this GPT we trained on the convo Timestamps 00:00 Introduction to the Plain Sight Podcast 00:04 Understanding Invisible Technologies 00:22 The Philosophy Behind Invisible Technologies 01:13 Interview with Ai Yukino, Data Scientist at Invisible 01:21 Discussion on Microphone and Audio Gear 02:28 Ai Yukino's Teaching Experience and Tech Setup 03:02 Living and Working in Buenos Aires 04:35 Ai Yukino's Teaching Subjects and Background 05:17 Use of AI in Coding 05:42 Exploring Niche Packages in Data Science 10:00 The Role of AI in Learning New Topics 10:45 The Future of Specialist Knowledge and AI 16:10 The Impact of AI Revolution 17:15 Understanding Artificial General Intelligence 20:17 Defining Reason and Sentiment Analysis 20:26 Human-like vs Alien-like Intelligence 22:15 Anthropomorphizing AI Systems 24:19 The Role of Incentives in AI 25:51 Understanding Data Science and Machine Learning 30:18 The Value of Data in AI 35:24 The Evolution of Tools in Technology 41:15 The Future of Locally Hosted AI Models 44:48 Closing Remarks and Contact Information Key Insights Data Science versus Machine Learning: Yukino differentiates between data science and machine learning. She describes data science as an interdisciplinary field that uses tools from statistics, applied math, and machine learning to gain insights from data. The focus is on understanding the data: its origins, generation, and what it reveals. Machine learning, in contrast, is about developing and using models, with less emphasis on the data itself and more on building useful applications. Importance of Data in Machine Learning: When discussing machine learning, Yukino acknowledges the crucial role of data. She notes that even though the emphasis in machine learning is on building models, these models require good quality data to be effective. The data remains important, not just for a single model but for future iterations and improvements. The Role and Value of Data: Yukino also delves into the continuing value of data even after it has been used to train a model. She uses the analogy of an oil company using data to locate oil wells; once the oil is found, the data used might seem redundant but retains long-term value for future explorations and improving accuracy of models. Machine Learning Tools and Flexibility: Yukino touches on the topic of machine learning tools and the importance of flexibility in their use. She suggests that while there are standard tools in the field, one can be successful in data science even without mastering all of them. She emphasizes the importance of adapting to new tools, especially given the rapid developments in AI and machine learning technologies. Self-Hosted Models and Future Prospects: Yukino expresses excitement about the future possibility of self-hosted models in AI. She looks forward to the potential of fine-tuning these models for specific applications, which could unlock a lot of capabilities in various fields.

In this episode of the Plain Sight podcast, Operations Analyst at Invisible Technologies, Daniel Ristestki, discusses the opportunities and challenges of integrating Artificial Intelligence (AI) into business operations. He explains his role as a bridge between operations and technology within the company, and the significant role of knowledge management. Daniel provides insights into how Invisible strives to make work feel like an interactive game, thereby boosting employee comfort and productivity in a remote working environment. He emphasizes the importance of constant learning and adaptation in the age of AI, and notes the potential for the technology to streamline routines and enhance efficiency - if properly understood and implemented. Despite popular misconceptions of AI as a threat, Daniel sees it as a tool for progress and a derivative of human's long history of technological evolution. If you are a subscriber to GPT4, check out this GPT we trained on the conversation Timestamps 00:02 Introduction and Guest Presentation 00:18 Understanding the Role of an Operations Analyst 01:16 Exploring the Concept of Knowledge Management 05:10 The Impact of Remote Work and Knowledge Management 05:33 The Evolution of Work: From Traditional to Remote 06:47 The Benefits and Challenges of Remote Work 11:07 The Role of Technology in Shaping Work Environments 16:33 The Industrial Revolution and Its Impact on Work 23:51 The Future of Work: AI and Automation 26:25 The Impact of Automation and AI on Jobs 27:11 The Role of Invisible in the AI Revolution 28:31 The Evolution of Work and Efficiency 29:27 The Application of AI in Invisible 31:02 The Future of AI and Work Optimization 34:43 The Challenges and Misconceptions about AI 41:58 The Role of AI in Coding and Development 48:43 The Personal Journey of an AI Early Adopter Key Insights   AI as an Enabler of Optimization: Daniel emphasizes that AI's primary role in the workplace is to optimize processes. It's not about replacing human labor but enhancing and streamlining work processes. By automating routine tasks, AI can allow employees to focus on more complex, creative tasks that require human judgment. Transformation of Work Practices: The use of AI and technology is fundamentally changing how work is conducted. Daniel points out that tasks which used to take a significant amount of time can now be accomplished much more quickly with the aid of AI tools. This shift is leading to a transformation in job roles, where workers are required to adapt and develop new skills to work alongside AI systems. Remote Work and Knowledge Management: Daniel discusses how Invisible Technologies, where he works, leverages remote work and AI for effective knowledge management. The idea is to create an environment where employees feel comfortable and can thrive, which is particularly important in remote settings. The use of AI tools in such environments can aid in managing and disseminating knowledge more effectively. Cultural Shift and Acceptance of AI: There's a significant cultural aspect to the adoption of AI in the workplace. According to Daniel, skepticism and comfort with existing methods can be barriers to adopting AI. He stresses the importance of understanding and adapting to new technologies rather than fearing them. AI and Nonlinear Outputs: Daniel talks about how AI, particularly machine learning models like Large Language Models (LLMs), can produce nonlinear outputs that are not always predictable. He emphasizes the importance of understanding how to interact with these models and how to prompt them effectively to get reliable and useful results. AI as a Tool for Progress: Daniel likens AI to historical tools like the plow in agriculture, which drastically reduced the time required for certain tasks. He views AI as a modern tool that, when used correctly, can significantly enhance productivity and efficiency. Adaptation and Continuous Learning: Finally, Daniel highlights the need for continuous learning and adaptation in the face of AI and technological advancements. He believes that embracing change and being willing to learn new ways of working are essential for success in the modern workplace.

In this episode of the Plain Sight podcast, Sam Mata, the Director of Operations at Invisible Technologies, discusses the company's approach to solving complex business problems and the philosophy behind their operations. He describes how Invisible has evolved over the years, using AI to optimize operations and how this has affected the nature of their work. Sam talks about Invisible's role as an AI trainer, the potential of Augmented Intelligence and his insights into team management and coordination. He also describes how AI has affected the productivity within the company and how it's becoming an integral part of Invisible's services. If you want to find out what happened in this episode without listening check out this GPT we trained on it Timestamps 00:00 Introduction to Invisible Technologies 01:11 Understanding Operations at Invisible Technologies 02:04 The Role of Technology in Operations 02:14 Invisible's Approach to Operations 03:23 Invisible's Unique Approach to Client Engagement 04:32 Understanding the Client's Needs 04:46 The Evolution of Invisible Technologies 05:14 The Sales and Discovery Process at Invisible 10:48 The Challenges of Knowledge Management 21:48 The Role of AI in Invisible's Operations 24:32 The Role of AI in Business Optimization 24:54 The Intersection of AI and Business Operations 25:42 Leveraging AI Tools for Business Efficiency 26:38 Innovative Use of AI in Documentation 27:44 Exploring AI's Potential in Automating Business Processes 29:28 The Impact of AI on Business Flexibility 30:02 The Concept of Human Augmentation in the AI Era 32:36 The Future of AI and Human Augmentation 33:31 The Role of AI in Job Creation and Productivity 34:38 The Fear and Reality of AI 36:33 The Impact of AI on Programming 44:41 The Role of AI in Teamwork and Collaboration 48:42 The Importance of Quality in AI Model Outputs 50:20 Conclusion: The Future of AI in Invisible Key Insights Operations Innovations at Invisible: Invisible Technologies is not just about executing tasks for clients but embedding themselves into their clients' teams to deeply understand and enhance their operations. They aim to optimize processes to be better, faster, and cheaper, moving beyond traditional Business Process Outsourcing (BPO) models. Custom Solutions and Use of AI: Invisible leverages technology, including AI, to provide custom solutions. The company has evolved from using human labor for tasks to developing technology-driven processes, making operations more efficient. Sam Mata highlighted specific use cases where AI and automation have played a crucial role in improving services, like automating the generation of printable agendas from Google Calendars and extracting product tags from descriptions. Cultural Alignment and Continuous Learning: The conversation touched upon the importance of preserving individual creativity within a team while aligning towards common goals. Sam emphasized the need for continuous learning and adaptation, especially in the rapidly evolving field of AI and operations. Augmentation vs. Replacement: Sam and the host discussed the concept of human augmentation through AI, focusing on how AI tools can empower individuals and teams to perform higher-level tasks by taking over more mundane or repetitive aspects of their work. The idea is to enhance human capabilities, not replace them. Challenges of Knowledge Management: The discussion also ventured into the complexities of knowledge management, especially in large, fast-paced organizations like Invisible. They explored strategies for effective knowledge dissemination and documentation, including the use of AI to convert spoken conversations into structured documentation. Visibility into Operations: Sam provided insights into how Invisible works closely with clients to deeply understand their processes and tailor their operations to meet specific client needs. This involves a proactive approach to understanding the nuances of each client's operations and continually refining processes for optimal results.

In this episode of the Plain Sight podcast, Alexei Shkurin, a Tech Lead at Invisible Technologies, discusses the company’s philosophy and how they make complex business problems disappear by figuring out and optimizing various aspects of the businesses they work with. Alexei focuses on how Invisible uses LLMs (large language models) such as GPT-4 to enhance their operations and client services. He also shares his insights on topics like the mechanistic interpretability of AI, the emergence of new AI properties, and the ethical considerations involved in AI development. Furthermore, he delves into predictions for the AI industry and shares his ideas for the application of LLM within Invisible and AI's impact on the education system. If you are a subscriber to GPT4 check out this GPT we trained on this episode Timestamps 00:00 Introduction to the Plain Sight Podcast 00:04 Understanding Invisible Technologies 00:22 The Philosophy Behind Invisible Technologies 01:13 Introduction to the Guest: Alexei Shukrin 01:42 Discussion on Machine Learning 02:39 Exploring Mechanistic Interpretability 09:51 The Future of Programming and AI 14:41 The Impact of AI on Education 19:08 The Need for Digital Detox 23:56 The Changing Human Brain and AI 26:07 Digital Therapy Sessions at Invisible 27:26 Chatting with AI: A Personal Experience 27:35 AI Correcting Historical Facts 28:09 AI in Live Conversations: Current Limitations 28:59 The Future of Real-Time AI 31:02 Decentralization and Open Source in AI 35:37 AI Enablement at Invisible: Current Projects and Future Plans 38:05 The Role of MLOps in AI Development 40:21 Exploring the Concept of Sentience in AI 48:27 The Intersection of AI and Neuroscience 52:37 Closing Thoughts and Contact Information Key Insights Rapid Changes in Machine Learning: Aleksei highlighted the fast-paced nature of machine learning and the importance of being resilient and not overly dependent on any single entity or technology, even if it's a major player in the field. Mechanistic Interpretability in AI: He discussed the challenge of understanding the inner workings of large language models (LLMs) and neural networks. This area is an active field of research, and even experts are not fully sure how these models reason so effectively. Emerging Properties of AI Models: Aleksei expressed concern about the emerging properties of AI models, where models can perform tasks or exhibit behaviors that were not explicitly intended or planned by their creators. This unpredictability is a potential risk that needs consideration. Sentience in AI: The conversation touched on the topic of AI sentience, with a discussion on what constitutes sentience and consciousness. Aleksei emphasized the current limitations of AI in this regard, noting that AI models like LLMs do not make decisions independently but respond to external stimuli. Transformation in the Role of Programmers: The future of programming was discussed, with AI tools increasingly taking over the tedious parts of coding. The role of programmers might shift more towards system architecture and design, rather than actual coding. AI in Education: Aleksei stressed the importance of integrating AI into the education system. He suggested innovative methods like using AI for conversational learning and emphasized the need for students to have both traditional learning experiences and AI-assisted ones. Dependence on AI and Digital Detox: He acknowledged the growing dependence on AI tools like ChatGPT and suggested the importance of digital detox and balancing AI usage with other activities. Future of AI and Ethics: The ethical considerations in the development and deployment of AI were discussed, including the need for responsible AI development and the potential risks associated with AI that can self-improve or exhibit unexpected emergent properties.  

In this episode of the Plain Sight podcast from Invisible Technologies, Stewart Alsop welcomes guest Paul Jerajian, the Director of Analytics at Invisible. They delve into an engaging conversation about the role of analytics in business and its evolution. Paul explains how Invisible's focus is to understand complex business operations, identify processes, and determine the tasks the team dislikes for optimization. A highlight of the conversation includes Paul's definition of analytics and his thoughts on data, information, knowledge, and wisdom. They also discuss the impact of AI, how data can predict patterns, and the significance of understanding a business's past and goals for efficient analytics. The conversation wraps up with Paul emphasizing the need for open communication within a team to foster innovation and improve processes. If you have GPT4 access check out this GPT that we trained specifically on this episode Time Stamps 00:00 Introduction to the Plain Sight Podcast 00:04 Understanding Invisible Technologies 00:22 The Philosophy Behind Invisible Technologies 00:52 Invitation to the Podcast 01:10 Interview with Paul Jerajian, Director of Analytics 01:21 Exploring the Concept of Analytics 02:14 The Relationship Between Data and Knowledge 03:44 Common Misconceptions About Data and Analytics 05:04 Translating Business Problems into Data 08:21 Understanding the Role of Analytics in Invisible Technologies 10:32 The Importance and Challenges of Dashboards 11:58 Exploring the Future of AI and Analytics 16:42 The Role of AI in Understanding Human Thought and Language 21:21 The Concept of Creating in AI 27:31 The Predictive Power of AI 28:20 Understanding the Role of Prediction in Science 30:03 The Challenges of Predictability in Analytics 31:36 The Scale of Prediction: From Universe to Business 32:11 Exploring the History and Evolution of Analytics 33:15 The Cross-Disciplinary Nature of Analytics 38:02 The Role of Analytics in Goal Setting and Measurement 38:20 Dealing with Unmeasurable Aspects in Analytics 42:14 The Importance of Understanding Company History and Future Goals 46:40 The Challenges and Benefits of Remote Work in Analytics 48:27 The Value of Personal Interactions and Riffing in a Remote Environment 53:24 Closing Thoughts and Contact Information Key Points Definition of Analytics: Paul Jerajian defines analytics as the science and understanding of using data to make decisions or to understand patterns. Data to Knowledge: Jerajian discusses the progression from data to knowledge, emphasizing that any piece of information or existence contains data, which, when analyzed, can lead to patterns and, subsequently, a deeper understanding and knowledge. Common Misconceptions: Many people have misconceptions about data, often viewing it as a magical solution that automatically provides answers. Jerajian clarifies that data requires iterative understanding and analysis to unlock its true potential. Business Problem Translation: He explains the importance of conceptualization before using data analytically in businesses. Understanding what to track, measure, and analyze is crucial for effective data use. Role of Dashboards: Jerajian talks about dashboards, describing them as both a blessing and a curse. Dashboards summarize insights from data points, usually in a visual format, aiding in pattern recognition and decision-making. AI and Sensory Data: The conversation touches on the potential of AI in interpreting sensory data and its implications, such as AI's ability to predict or infer human thoughts and behaviors. Limitations and Challenges in Analytics: He highlights the limitations in analytics, especially in predicting business outcomes for companies with variable growth or those that are relatively new. Analytics in Business: Jerajian emphasizes the cross-functional nature of analytics in business, where it can aid various departments, from operations to finance. Learning and Communication in Remote Environments: The discussion also covers the challenges of remote work, particularly in fostering immediate, spontaneous communication and learning. Personal Approach to Analytics: Finally, Jerajian shares his personal approach, which includes understanding the history and goals of a business, fostering personable communication, and being open to learning from others' experiences.

In this episode of Plain Sight podcast, hosted by Invisible Technologies, Karl Thomsen, VP of Coaching and Development at Invisible Technologies holds a candid conversation about the challenges and opportunities of growing a company in a remote work environment. Discussing the philosophy behind their work, Thompson shares insights into how he navigates the complex dynamics of running an efficient, remote workforce. He also talks about his role in maximizing individual employees' potentials, the importance of Emotional Quotient (EQ) in modern workplaces, maintaining team connectivity in remote environments, and the potentials of AI in business settings. Check out this GPT that we trained specifically for those of you who don't have time right now to listen to the whole thing (you need to be a subscriber of GPT4 to get access). Try this prompt: What did Karl Thomsen say about the relationship between conducting musicians and running a company? Timestamps 00:00 Introduction to Invisible Technologies and the Podcast 01:33 Guest Introduction: Karl Thomsen 02:00 Understanding Coaching and Development 03:06 The Role of Coaching in Business 11:06 The Concept of Destiny and Potential 13:28 The Intersection of Theory and Practice 19:55 The Role of Stress in Personal Growth 26:08 Imposter Syndrome and Personal Contributions 27:26 Integrating Individuals into a Larger Group 28:30 Managing Large Teams: From Sports to Business 28:45 The Importance of Connective Tissue in Team Building 29:56 Personal Journey: Overcoming Challenges and Applying Lessons in Coaching 30:21 Building Bridges: The Role of a Coach 31:37 The Impact of Emotional Intelligence in the Workplace 35:12 The Evolution of Remote Work: A Historical Perspective 41:18 The Intersection of Philosophy and Artificial Intelligence 42:51 The Role of AI in Shaping the Future of Work 51:13 The Conductor's Perspective: Leading Teams in Various Fields   Key Insights Role of Coaching and Development: Karl Thomsen emphasizes that coaching and development can mean different things in different contexts. At Invisible, it's about finding a balance between theoretical ideals and practical application, impacting both the individual and the team. Unique Corporate Culture: Invisible Technologies is characterized by its contrarian approach, often creating unconventional roles like Thomsen’s to foster creativity and innovation. This culture attracts diverse and multifaceted individuals. Impact of AI and Future Work: Thomsen discussed the potential of AI in transforming the workplace, suggesting that AI might liberate humans from repetitive tasks and allow for more creative and strategic roles. He doesn't view AI as a threat but as an enabler of human potential. Building Connective Tissue in Teams: The discussion highlighted the importance of building 'connective tissue' within teams, especially in a rapidly scaling company. Thomsen draws parallels between conducting an orchestra and leading a team, emphasizing the role of a conductor in harmonizing individual contributions towards a collective goal. Emotional Intelligence in the Workplace: There's an acknowledgment of the increasing importance of emotional intelligence (EQ) alongside intellectual ability (IQ) in the workplace. Understanding and managing emotions are crucial for effective teamwork and leadership. Navigating Stress and Pressure: The podcast touched on how stress and pressure, when managed well, can be catalysts for growth and development, both at an individual and organizational level. Personal Background and Leadership: Thompson shared his personal journey, including overcoming challenging childhood experiences, which shaped his approach to leadership, empathy, and resilience. Philosophy and Business: The episode delved into philosophical discussions about fate, destiny, creativity, and the human condition, relating these concepts to business and personal growth. The Future of Work and Creativity: The conversation explored the future of work, particularly the role of creativity and strategy in a world increasingly augmented by AI and automation.

Welcome to the latest episode of the Plain Sight Podcast, where our host Stewart Alsop sits down with Kamron Palizban, Head of Strategy of AI Training at Invisible Technologies. In this insightful conversation, Kamron sheds light on the intricacies of AI training, emphasizing the crucial role of human feedback in refining AI models. The discussion delves into the evolving landscape of AI, exploring topics like synthetic data, self-training AI models, and the future of human involvement in AI development. Join us as we unravel the complexities of AI and understand its profound impact on our world, through the expert lens of Kamron Palizban. Here is a GPT bot that was specifically trained on this episode for you to understand what we talked about (you need to be a GPT4 subscriber to access) AI Training Explained Definition and Importance: Kamron elaborates on AI training, emphasizing the role of human feedback in improving AI models, especially foundational models. Real-World Application: Discussion on deploying AI models in real-world scenarios and the necessary training involved. Synthetic Data and Self-Training Models Prospects of Synthetic Data: Kamron talks about the creation and use of synthetic data in AI training, acknowledging its limitations compared to human diversity. Self-Training Models: Exploration of AI models training themselves, including reinforcement learning, and the future of these methods. Human Role in AI Uncertain Future: Kamron shares his thoughts on the evolving role of humans in AI training, predicting significant changes in the coming years. Monitoring AI: The critical role of human oversight in AI development and the potential risks of AI functioning without human intervention. Mechanistic Interpretability Understanding AI's Inner Workings: Discussion about how deeply humans can understand AI at a neuron level in neural networks. Kamron’s Insights: He shares his perspective on the complexity of AI and the importance of advancing our understanding of neural networks. AI Training Strategy and Team Dynamics at Invisible Technologies Kamron's Background: His journey from head of operations to AI training strategy. Team Dynamics: Insights into the team at Invisible Technologies, focusing on creativity, innovation, and the importance of sharing knowledge. AI and Humanity AI's Role in Society: Discussion on the exponential pace of innovation and the role AI plays in it. Empowering Creativity: The importance of fostering creativity and experimentation in AI development. Research and Commercialization From Research to Real-World Application: Kamron discusses the path from foundational research in AI to practical applications in various industries. Future Outlook and Invisible Technologies' Mission Invisible’s Impact and Growth: Kamron reflects on the growth of Invisible Technologies and its role in various industries. Mission Statement: The aim to lead in understanding, innovating, and standardizing AI training for humanity's benefit.

In the Plain Sight podcast, Scott Downes, the CTO of Invisible Technologies, provides valuable insights into the evolving landscape of artificial intelligence (AI). He discusses the rapid progression of AI to requiring higher levels of human expertise in data training, and the transformative effect generative AI already has on businesses and everyday life. The conversation shifts to the future implications of AI, specifically in the automation of mundane tasks, thus transcending the need for conventional human work. Downs envisions a future where Invisible plays a critical role in enhancing human potential by eliminating the drudgery of routine work and enabling people to focus on achieving their objectives. He concludes with the importance of integrating AI technology directly into clients' experiences to realize scalable and repeatable solutions. Ask our GPT what happened in this episode 00:00 Introduction and Guest Presentation 00:16 Discussing Recent Developments in AI 03:23 The Impact of AI on Future Predictions 03:58 Reflecting on the Pace of Technological Change 07:08 The Intersection of AI and Business Workflow 11:38 The Evolution of Software and Services 18:31 The Role of AI in Simplifying Complexity 18:57 The Future of AI and Human Interaction 24:30 The Unexpected Progression of AI Training 28:04 The Evolution of AI and Human Interaction 28:38 The Essential Role of Humans in AI Development 29:42 The Future of AI: Beyond Human Feedback 30:08 The Human Element in AI Work 30:51 The Dehumanizing Impact of Mechanistic Work 32:14 The Potential of AI in Transforming Work 35:32 The Existential Questions Raised by AI 36:05 The Role of Invisible in the AI Revolution 48:28 The Future of AI: Beyond Chatbots 51:18 The Role of Invisible's Workplace in AI Development 55:08 Closing Remarks and Future Directions Key Insights Evolution of AI and OpenAI's Mission: Scott discusses the intriguing developments at OpenAI, highlighting the tension between commercial and research objectives. He emphasizes that the actual values and mission of a company are reflected in its actions, not just in its stated goals. AI's Role in an Age of Acceleration: The conversation touches on the rapid pace of technological change, suggesting we're in an era where advancements are happening at an unprecedented rate. This acceleration impacts our ability to predict and shape the future. Human Element in AI Development: Scott points out the significant role of human expertise in training AI models. This contradicts the earlier assumption that AI development would primarily rely on basic, low-complexity tasks. Transforming Workflows with AI: There's a discussion about how AI is changing workflows in businesses. Scott highlights that AI projects, like other technology projects, come with uncertainties and risks, and the importance of managing these in a business setting. The Intersection of AI and Business Models: Scott delves into how AI is moving from being a purely technological disruptor to influencing business models. He emphasizes the importance of balancing structured, repeatable solutions with customizable, outcome-driven approaches. Human-Centric Approach to Technology: Scott stresses the need to focus on human-centered processes in technology, where the goal is not just to automate tasks but to enable humans to focus on more meaningful, creative work. Philosophical Implications of AI: The conversation also explores the deeper existential questions raised by AI advancements, particularly regarding the future of work and human purpose. Future of AI Integration: Looking ahead, Scott envisions a world where AI is seamlessly integrated into various aspects of life and business, much like how the internet and platforms like YouTube have become indispensable today. Invisible Technologies' Role and Vision: Scott describes Invisible Technologies' mission to merge the strengths of SaaS platforms with customizable, service-oriented solutions, aiming to elevate human potential by removing the drudgery of routine work.

In this episode of the Plain Sight podcast, Stewart Alsop interviews Jean Paul (JP) Biondi, the VP of Operations at Invisible Technologies. They discuss the challenges and intricacies of building marketplaces, the importance of customer development, technology-enabled services, and the innovative use of AI in Invisible Technologies. JP also talks about how Invisible uses AI to improve company processes, which subsequently increases productivity for agents and value for clients, and the plans to bring external business units within Invisible Technologies to the mainstream. To find out what happened in this episode, check out this GPT we trained on it!   00:02 Introduction and Guest Presentation 00:17 Discussing the Marketplace 02:00 Challenges of Building Marketplaces 04:37 Understanding the Invisible Marketplace 04:46 The Role of Agents in the Marketplace 05:40 The Importance of Community in the Marketplace 12:34 The Concept of Organization as a Service 18:13 The Role of Podcasting in Organization 20:44 The Process of Organizing Work 26:21 The Urgency of Organizing with Cosmos 26:50 The Challenge of Context in Day-to-Day Work 27:07 Mitigating Key Man Risk and Ensuring Knowledge Retention 27:56 The Idea of Training and Preparing for Out of Office 30:17 The Importance of Vacation and Mental Health 31:24 The Concept of Business Codependency and Interdependency 33:09 The Strategy for Finding First External Customer for Cosmos 35:23 The Importance of Customer Development 38:15 The Role of AI in Improving Business Processes 42:08 The Impact of AI on Business Cost Structure 46:01 The Unique Learning Experience at Invisible   Key Insights Building and Managing Marketplaces: JP Biondi discusses the challenges and strategies in building marketplaces, emphasizing the need to balance and cater to both supply and demand sides. He highlights the importance of understanding the nuances of what platform users seek, beyond just the transactional aspects. Role and Experience of Agents: The conversation delves into the experiences and motivations of agents working with Invisible. Biondi speaks about the spectrum of engagement among agents, from those seeking transactional relationships to those deeply invested in community and career development. Community Building and Remote Work: There's a focus on how Invisible fosters community among its agents, encouraging networking and collaboration in a remote work environment. This aspect is seen as key to retaining and engaging agents. Knowledge Management and Organization: The podcast touches on knowledge management, including mapping the organization's structure and ensuring knowledge flow among various levels. The concept of a 'second brain' for organizations is discussed, along with the challenges of information organization and access. AI Implementation and Impact: A significant part of the conversation is dedicated to the implementation and impact of AI within Invisible. Biondi talks about how AI is being used to optimize processes, improve quality, and increase efficiency. He also addresses concerns about AI potentially affecting agents' work and income. Business Development Strategies: The episode includes discussions on business development, particularly around tech-enabled services. Biondi offers insights into customer development, pitching strategies, and leveraging networks for business growth. Cosmos – Organization as a Service: Stewart Alsop pitches Cosmos, a new business unit focused on organization as a service. The concept involves helping companies organize their internal systems and processes, especially for hyper-growth companies facing knowledge management challenges. Invisible’s Unique Work Environment: Towards the end, there's a reflection on what makes Invisible a unique place to work, including the innovative use of AI and the development of marketplaces for agents. Advice and Perspectives on Startups: Biondi shares his experiences and lessons learned in the startup world, offering advice on customer development and business strategies.

In this episode of the Plain Sight Podcast, Sam Shew, Partner and Vice President of Training, Learning, and Development at Invisible Technologies, discusses the unique approach to human and AI training. Utilizing a framework of general skills, Invisible Technologies aims to drive efficiency and productivity by training employees to be more versatile across multiple use cases. Sam emphasizes the importance of identifying and applying a specific set of skills relevant to a particular task or operation. He also highlights the contrast between training AI and humans, the former being much more straightforward, while the latter requires considering emotional aspects and multiple learning styles. Sam contends that Invisible Technologies, by offering expansive learning opportunities, is shaping what he believes to be the talent marketplace of the 21st century.   00:02 Introduction and Guest Presentation 00:30 The Art of Training a Team of Contrarians 03:00 Training Methods in Large Organizations vs Startups 10:18 The Role of AI in Training and Learning 11:08 The Importance of Actionable Training 12:37 The Evolution of Knowledge and Learning 13:37 The Application of Training in Different Environments 16:31 The Future of AI Training 21:46 The Differences Between Training AI and Humans 29:16 The Secret Sauce of Invisible Technologies 34:38 The Process of Creating Training Courses 39:13 Conclusion and Contact Information   Key Concepts Training a Team of Contrarians: The challenge of training and developing a team that thrives on contrarian thinking and pushing boundaries. Emphasis on structuring thinking in a productive way while allowing for creative and unconventional ideas. Differences in Training Approaches: Comparing training methods in large organizations versus startups. In large companies, training often involves broad content that may lack effectiveness, while startups focus on more pointed and specific training due to limited resources. Role of Technology and AI in Training: Discussion on how advancements in AI, such as ChatGPT, are changing the landscape of training and development. Emphasis on the availability of information and content at one's fingertips and the evolving nature of knowledge acquisition. Training for Effectiveness and Efficiency: Focus on making training actionable and relevant to the job or task at hand. The concept of developing general skills that can be applied broadly, then honing in on specific niche skills for particular tasks or roles. Application of Training in Operations: How training is integrated into the operations of a company, with a focus on identifying necessary skills and developing them in a structured yet flexible manner. Training AI Models vs. Humans: Exploring the similarities and differences between training AI models and human beings. Discusses the nuances of training AI to be as human-like as possible and the challenges involved. The Role of Emotions and Human Interaction in Training: Acknowledges the emotional and psychological aspects of training humans, as opposed to the more technical and factual approach used in AI training. Invisible Technologies’ Unique Approach: The podcast guest talks about the unique approach of Invisible Technologies in scaling generalism and solving a wide range of problems, highlighting the company's ability to adapt and innovate in various scenarios. Future of Training and Development: Speculation on the future trajectory of training and development, especially considering the rapid advancements in technology and AI. Personal Invitation for Connection and Further Discussion: Sam Shu invites listeners to connect with him on LinkedIn for further discussions and insights on the topics discussed. Questions and Answers  Question: What is the essential element of training a team of contrarians to work together effectively? Answer: Training a team of contrarians involves structuring their thinking in a productive way while allowing room for creative and unconventional ideas. It's like corralling cats in an organized manner, where training and development have undefined edges, and the aim is to channel contrarian thinking productively. Question: How do normal training methods differ at Invisible Technologies compared to other companies? Answer: In large organizations, training often involves a wide array of content that may not be effective or specific to individual needs, acting more as a retention play than truly impactful learning. In contrast, startups focus on more specific and lean training methods due to limited resources. At Invisible Technologies, training is not confined to conventional methods and embraces diverse learning options. Question: How does training contribute to teaching employees the specific skills a company excels at? Answer: Effective training requires understanding the audience and making the training actionable. Knowledge needs to be applicable to real-world scenarios, focusing on general skills applicable to a variety of tasks, supplemented by specific niche training. Question: What are the similarities and differences between training an AI model and training a human? Answer: Training an AI model aims to make it as close to human interpretation as possible. It involves dissecting text and identifying errors or inaccuracies. Training humans, however, involves dealing with emotions and psychological aspects, focusing on how to apply knowledge and think critically. AI training is more tactical, while human training is more diverse and interactive. Question: How does Invisible Technologies innovate solutions for various client problems? Answer: Invisible Technologies' secret sauce is its horizontal approach, allowing it to solve a wide range of problems. This approach is different from the narrow focus of most companies, enabling Invisible to provide value across various market segments with a unique blend of human and automated solutions. Question: How does Invisible Technologies develop its training courses and identify the skills needed? Answer: The process involves a blend of centralized structure and decentralized input from various team members. It's about identifying foundational skills that apply broadly and then augmenting them with more specific skills as needed. This method ensures training is up-to-date, relevant, and actionable. Question: How can people learn more about Sam Shew's work? Answer: Sam Shew invites listeners to connect with him on LinkedIn for further discussions and insights on the topics discussed in the podcast.    

Introduction Guest: Rachel Rubin, COO of OVIVA Therapeutics. Focus: Discussion on OVIVA's role in biotech, women's health, longevity, and insights into operations at Invisible. In this episode of the Plain Sight Podcast, the guest is Rachel Rubin, COO of OVIVA Therapeutics. They discuss the role of an early stage biotech company focusing on women's health, particularly in relation to ovarian function and menopause. They explore OVIVA Therapeutics' research and its aims to extend women's health span and longevity. Additionally, they delve into the details of drug development, from animal models to human trials, and the importance of tailoring the process depending on different factors. They also cover the importance of strategic and careful approach in business operations to mitigate risks within startups. Rubin shares her views on the balance of risk-taking and conservative operational practices as the bedrock of sustainable company growth. Furthermore, she emphasizes on the role of human resources, budgeting, and fostering a culture of excellence in a company as paving pathways for their employees to thrive. Timestamps 00:02 Introduction and Guest Presentation 00:16 Understanding OVIVA Therapeutics and Its Goals 01:02 Exploring the Concept of Longevity 01:34 The Reality of Longevity and Its Challenges 02:33 The Role of Menopause in Women's Health and Longevity 04:36 Understanding Hormones and Their Functions 05:49 The Technological Aspects of OVIVA Therapeutics 06:09 The Role of Computation in Drug Development 10:10 The Business Operations of Early Stage Biotech Companies 10:20 Understanding the FDA's Role in Biotech 12:59 The Importance of Team Building in Biotech 19:14 The Role of Research and Development in Biotech 25:54 Promoting a Culture of Excellence Within a Company 33:07 Understanding Operations in Biotech 39:04 The Future of OVIVA Therapeutics 39:41 Final Thoughts and Advice for Invisible OVIVA Therapeutics and Its Goals Primary Focus: Developing drug assets for ovarian function and infertility. Long-Term Vision: Delaying menopause to enhance women's health span and longevity. Longevity and Menopause Connection Between Menopause and Longevity: Delaying menopause can lead to extended lifespans. OVIVA's Research: Animal model studies show potential to extend longevity by delaying menopause. Menopause Definition and Impact: A period marked by the end of menstruation, linked to declining AMH levels. OVIVA's Strategy: Developing drugs to modulate AMH levels, aiming to delay menopause and improve health outcomes. Hormonal Influence Role of Hormones: Essential for body functions; AMH is particularly stable but declines with age. Diverse Hormonal Functions: Hormones like testosterone and estrogen fluctuate differently and have varied roles. Technology in Drug Development In Silico Drug Design: Combining computation and quantum physics for efficient drug discovery. OVIVA's Methodology: Focus on licensed drug assets, particularly manipulating AMH. Building a Biotech Team Early Stages: Hiring entrepreneurial individuals valuing equity, mission, and culture. Diverse Roles and Consultants: Need for expertise in program management, regulatory knowledge, biostatistics, and drug manufacturing. Regulatory Environment FDA Involvement: Extensive interaction during clinical trials focusing on safety, dosing, efficacy, and population testing. Business Operations in Biotech Early Stage Operations: Prioritizing drug development, focusing on foundational business needs like HR, accounting, and IT. Scaling Operations: Internalizing functions such as legal, accounting, and HR as the company grows. Operations at Invisible Approach to Operations: Focusing on scaling generalists and innovating in operations. Learning Opportunities for Team Members: Emphasizing the development of cross-disciplinary skills and adaptability in various business scenarios. OVIVA's Future Directions Commercialization Prospects: Aiming for drug asset commercialization post-clinical trials and FDA approval. Strategic Growth: Exploring fundraising, partnerships, and pipeline development for broader impact. Conclusion Advice for Invisible's Audience: Embrace learning opportunities, seek support, and leverage diverse experiences for professional growth.

In this episode of the Plain Sight Podcast, Stewart Alsop welcomes guest Jessica Waters, Operations Manager at Invisible Technologies. They discuss Jessica's recruitment story and her transition from remote work into the world of AI. Jessica highlights her journey to becoming an AI-enabled worker and shares insights on the transformative role of software in operations. They delve into the organisational communication setup at Invisible Technologies and discuss the potential of AI in revolutionising the workspace. Jessica also shares their experience working with an entirely global team and discusses her philosophy on meeting people where they are and understanding different cultural contexts. The conversation furthers with them discussing the nuances of knowledge and information management, the merits of AI enablement and the promising future they foresee in its adoption. 00:02 Introduction and Guest Welcome 00:15 Guest's Journey to Invisible Technologies 02:07 Operations at Invisible Technologies 04:22 Creating Cohesion in a Diverse Team 07:17 The Global Reach of Invisible Technologies 08:49 The Impact of Remote Work 14:55 The Importance of English Proficiency 17:05 The Challenges of Knowledge Management 21:46 The Promise of AI Enablement 27:11 The Future of AI and Invisible Technologies 43:27 Closing Remarks Key Points COVID-19 and the Shift to Remote Work: Jessica's life changed in 2020 when she relocated internationally. She committed to full-time remote work, seeking a job that allowed for complete location independence. The Job Hunt and Joining Invisible: After sifting through numerous undesirable jobs, Jessica began interviewing, first with Marshall, followed by Amy, Cameron, and finally Francis. She noted the interviews felt less like a traditional job process and more like a cultural fit evaluation. Jessica was hired in August 2021, specifically to assist with DoorDash's scaling operations. Operations at Invisible vs. Entrepreneurship: Jessica's background as an entrepreneur meant she was accustomed to setting her own pace and making decisions autonomously. At Invisible, she found the challenge of working within a team dynamic, striving for cohesion among strong-minded individuals. Creating Team Cohesion: She emphasizes the importance of a learning mindset within her team. Hierarchies are respected, but there's an open exchange of knowledge and experience that facilitates problem-solving. Global Team Dynamics: Jessica leads a global team with members predominantly in Africa and the Philippines. She discusses the unique opportunities that remote work provides to individuals in less developed countries. Remote Work and Its Impact: Jessica touched upon the transformative power of remote work for people in developing nations. The opportunity to work remotely and earn a stable income can be life-changing, providing basic needs and elevating the quality of life. Cultural Sensitivity and Communication: Having lived abroad, Jessica understands the nuances of cross-cultural communication. She emphasizes the importance of slowing down and meeting people where they are, recognizing the diversity of meanings behind the same language. AI Enablement at Invisible: Jessica expresses excitement about AI and its potential to create efficient solutions. She envisions a future where AI can streamline operations and aid in scaling up projects.

The podcast episode welcomes Anne Dudek, Founder of Rad Studios, and Francis Pedraza, Founder of Invisible and Infinity, to have an enriching conversation about the transformative role of tech-enabled services, with a focus on design and business operations. The guests also present their approach to integrating artificial intelligence and innovative technology to improve operational efficiency, creativity, and business performance. The session further explores the concept of designing Utopia, the constraints of design in addressing real-world problems, and the complex aspect of designing organizational structures. The discussion concludes with a philosophical discourse on the impracticality of a perfect Utopia, emphasizing change as the only constant.   Time Stamps 00:00 Introduction to the Plain Sight Podcast 00:04 Understanding Invisible Technologies 00:22 The Philosophy Behind Invisible Technologies 00:51 Invitation to Join the Podcast Journey 01:11 Introducing Guests: Ann Dudek and Francis Pedraza 01:34 Understanding Rad Studios and Its Unique Approach 02:12 Exploring the Concept of Tech Enabled Services 03:00 The Role of Design in Tech Enabled Services 03:34 The Impact of AI on Design 04:17 The Importance of Good Design in Business 04:55 The Role of Rad Studios in Design Work 11:03 The Power of Branding and Its Impact 16:25 The Future of Design with AI and Rad Studios 18:35 The Entrepreneur's Journey and the Role of Design 20:56 The Vision for Rad Studios and Its Offerings 55:35 The Relationship Between Stress and Creativity   Key Points Rad Studio incorporates both human design and AI technology to reconstruct and streamline the design process. AI can help proliferate good design by reducing costs and making design more accessible. However, it shouldn't be used to simply generate mediocre, cookie-cutter designs. Good branding evokes emotion, nostalgia, a sense of belonging. It connects deeply to the human soul. AI allows designers like Anne to iterate faster, but it must be consciously integrated into the design process itself. AI is not just a singular tool, but a suite of integrated technologies and specialists. Tech-enabled design services represent a new model - neither a traditional design firm nor a software product. It networks human experts to provide the right guidance at the right time across multiple projects. Relationship-driven sales and trust are still crucial, even in tech-enabled services. Mass, impersonal sales don't work for bespoke design. Selling design is about education, framing it as a journey rather than a one-off product. Pricing should be flexible to suit the client's needs and stage. Design should aim to evoke emotion, not pursue perfection. It is an expression, not a solution to all problems. Change is inherent to humanity. Quotes "A great brand is a flag - a symbol of the thing you care about." "The original sin of every entrepreneur is 'I can change the world'." "Design doesn't need to be efficient. Design is about possibility." The Essence of Rad Studio: Foundational Approach: At its core, Rad Studio is a design studio that transcends traditional boundaries by treating technology as an integral part of the creative process. Creative Expenditure: The studio places a high value on the human design component, ensuring that creativity is at the forefront, enhanced by tech-enabled services. Service Orientation: Viewing design as a service, Rad Studio is already proficient in technology-enriched service provision, a natural progression for contemporary design practices. Visual Communication: A key advantage for designers is the capacity to "show, not tell," leveraging technology to present concepts in a visual cosmos, signaling the advent of an entirely new industry. The Role of Technology in Design: Credibility and Presentation: The importance of a well-crafted website or sales deck is likened to a personal meeting — each adds credibility and substance to the core design proposition. Overcoming Challenges: The journey from concept to core design is laden with hurdles, emphasizing the need for well-designed branding and sales materials to overcome these challenges. Learning and Development in Design: Value in Drudgery: The meticulous effort and attention to microscopic details, often seen as drudgery, are essential in mastering the craft and in the culmination of successful design work. Training and Craft: There's an inherent value and learning potential in the traditional design process that raises the question of its future in an AI-driven industry. The Economics and Accessibility of Design: Cost and Education: The dynamic between education and new fields in design, along with the introduction of AI, brings potential to reduce costs and democratize access to quality design. Tool Proliferation and Quality: The widespread availability of tools like Canva leads to a conversation about the race to mediocrity versus the expertise needed for truly great design. Nature, Art, and Branding: Inspiration and Reality: Nature serves as the ultimate muse for designers, with the symmetry and beauty found in the natural world guiding the aesthetic of true design. Branding as Art: The podcast delves into the relationship between branding and art, exploring how branding transcends mere symbols to evoke deep emotional responses and loyalty. The Philosophy of Branding: Taoism and Essence: Referencing the "Tao Te Ching," the conversation explores the notion that the true essence of a brand is beyond what can be named or expressed directly. Creating Connection: Brands are seen as symbols that connect on a soulful level, creating memories and feelings that elevate the relationship beyond transactional interactions. Rad Studio’s Approach to Branding: Storytelling and Identity: Rad Studio believes that good brands tell a story, with modern storytelling weaving into consumerism to add depth and meaning. Entrepreneurship and Design: The entrepreneur’s journey is a testament to the aspirational and sometimes naive belief that one can change the world through design. Building Relationships with Clients: Long-term Engagement: The discussion touches on the importance of the length and depth of the client-agency relationship, evolving with the client to infuse the brand with meaning through consistent action. The Future of Design with AI: Redefining the Role of AI: Anne Dudek emphasizes the importance of having a conscious relationship with AI, integrating it into the creative process to enhance efficiency and creativity.

Introduction Drew Vo opens up about how he stumbled into the startup universe, ultimately finding his groove at Invisible—a trailblazing firm in the AI sector. Drew also shares his leap from biotech to the digital realm, underscoring the game-changing impact of AI. Career Journey Initially, Drew was deep in the trenches of biotech, working as a bioengineer specializing in cell culture. His days were filled with lab experiments, mostly dealing with proteins and biologics. But the allure of the startup scene soon caught his eye. His first taste of this new world was at Flexport, a decently-sized operation of 350 staff. He later shifted to a much smaller venture that had a tight-knit group of just 50. Drew admits feeling overwhelmed and disconnected in massive corporations—one had as many as 1,800 global team members. So, the remote-centric culture of Invisible was a breath of fresh air for him. Joining Invisible Drew stumbled upon Invisible while scrolling through a platform called Wellfound. The company's unique hiring process grabbed him instantly. Even more compelling was Invisible's forward-thinking approach to work culture, blending humanities and mindfulness into employee onboarding and training sessions. Role and Responsibilities During Drew's maiden week at Invisible, he was thrown into the deep end, swamped with tons of new learning materials. He was quickly plugged into an established team and went through an exhaustive training regimen. His role currently involves managing a couple of team leads, and he's keen on scaling that up to five, without feeling drained in the process. AI Enablement According to Drew, AI is more than just a technological fad; it's a vital part of embedding automation into a variety of workflows. He even dreams of a future where AI plays a pivotal role in complicated sectors like drug development, running clinical trials, and predicting pharmaceutical outcomes. Personal Perspective on AI Drew doesn't lose sleep over AI eating into jobs. For him, tech is a catalyst that redefines job markets rather than contracting them. He’s even put his money where his mouth is, leveraging AI tools like ChatGPT during his application process at Invisible. Company Culture and Interactions Drew finds the eclectic mix of backgrounds at Invisible to be exhilarating, and he’s all-in on the company's counter-cultural ethos. One of the most engaging dialogues he's had was with a co-worker named Fer, a person pushing the boundaries of tech innovation. Conclusion Thrilled to be a part of the Invisible family, Drew is looking forward to a future filled with possibilities. He’s raring to infuse his work with the same level of enthusiasm he has for life in general. Paraphrased Quotes "The engagement at Invisible makes you feel excited; it's different from typical companies that aren't used to remote work." "AI enablement is not just a term; it's a whole life cycle that can transform work processes." "Technology evolves job markets; it's not something to fear but to harness."

Introduction In a captivating episode of the Plain Sight podcast, Francis Pedraza and Genevieve Kim discuss the intricacies of modern community building and services, focusing on their respective companies: Realm and Invisible. The dialogue traverses a myriad of topics, from the challenges of adult friendships to revolutionizing traditional business operations. Understanding Realm What is Realm? Realm is a platform that facilitates connections among "friendly, ambitious nerds." The goal is to create a sense of home, an extended family if you will, among members. The Problem Realm Solves As adults, traditional institutions like schools and churches that used to facilitate friendships are no longer available. This gap has made finding meaningful connections more challenging. A Sense of Community Realm aims to be the "modern piazza," a community hub that evokes a sense of trust, shared experiences, and ultimately, commerce. This focus on community over marketplace aligns Realm more with European work-life balance ideologies than American ones. The Invisible Concept What is Invisible? Invisible offers tech-enabled operational services to various companies. While venture capitalists have traditionally focused on scalable products, Invisible sees the untapped potential in services. Total Addressable Market The company aims to serve various sectors like healthcare and real estate, boasting an almost infinite total addressable market (TAM). Expanding the Service Portfolio Invisible isn't limited to just operations. They also have strategies for education, branding, research, and community management, among others. This expansion positions them as competitors to incumbent service giants like Accenture and EY. Intersection of Realm and Invisible Community Building in Business Genevieve, who was initially hired for a project at Invisible, exemplifies how relationships can evolve into strong business collaborations. Realm and Invisible share a philosophy that relationships should come before business. Syndicate Building Realm has proven effective in building investor syndicates for Invisible's clients, turning these communities into valuable sources for ideas, deal flow, and more. Monetizing Community While the focus is not primarily on monetization, Realm and Invisible both recognize the potential for financial benefits when a strong, aligned community exists. Philosophical Underpinnings Friendship and Time Both Francis and Genevieve emphasize that building a community requires trust, and trust requires time. Whether it's romantic or platonic, relationships are the fabric of a healthy community. Cultural Perspectives Drawing from their backgrounds, they discuss the importance of hospitality, openness, and a focus on the human element. Conclusion The podcast ends on a thoughtful note, contemplating the art of curation in building a community. With an approach that combines tech, human insight, and a profound understanding of the complexities of adult friendships and community, Realm and Invisible are not just companies; they are catalysts for societal evolution.

Jill Weston is the chief of staff at Invisible Technologies. In this role, her main objective is to align the company with the CEO's priorities, strategy, and goals. She spends much of her week understanding the state of the business, connecting dots for leadership, and making sure people are spending time on what matters. Her wide-ranging responsibilities include addressing gaps and escalations, building company machinery, and more. Jill believes an organization's greatest asset is its people. To motivate and get the most out of employees, she aims to create an environment where they feel valued, appreciated, and challenged. She wants people to be excited to come to work and contribute. Effective communication and setting clear expectations are critical, especially in fast-moving startups like Invisible. Jill emphasizes the importance of addressing issues immediately rather than letting them fester. Jill spent 15 years in the military, which she says prepared her well for the ambiguity, urgency and high stakes of startups. The military taught her to have a thick skin, work hard under pressure, and stay focused on the mission and greater purpose. She sees many parallels between the military and startups in terms of dealing with pressure, ambiguity, and the critical need to build strong relationships and trust. Listening skills are vital in both environments. As a leader, Jill aims to create a compelling vision, motivate and influence others to believe in that vision, communicate effectively, and always do the right thing with integrity. She notes that integrity is core to leadership. When asked about motivation, Jill emphasized the importance of believing in a vision and cause. At fast-growing Invisible, she notes that reinforcing the culture and values repeatedly is crucial as the company scales. Storytelling and clear communication help spread the vision.

Introduction Andrew Burlinson: Actor, Writer, and Advanced AI Data Trainer at Invisible Technologies (follow on Instagram and Linkedin) Key Themes: Creativity, Technology, and the Future of Arts and Entertainment Early Career and Finding Invisible Technologies Andrew discusses his early years, balancing acting gigs while navigating the complexities of adulthood. He brings up how he started connecting with old friends and colleagues on LinkedIn, which eventually led him to Invisible Technologies. Invisible stood out as a place that values creativity and encourages employees to be as creative as possible, aligning well with his background in acting and writing. The Confluence of Creativity and Technology Andrew shares his fascination with the meeting point between technology and creativity. Describes the workplace environment at Invisible, likening it to a "real-time Wikipedia," full of coders and AI experts who inspire him. Points out the benefits of having a dual skill set in today's world—being tech-savvy while also having creative flair. Challenges and Opportunities in the Changing Landscape Andrew explores the rapidly evolving entertainment industry, brought on by streaming services and advancements in AI. Discusses the anxieties and opportunities that this shift brings— from AI replacing background actors to the potential for a broader range of artists to thrive. Comments on how value should be assessed in the world of arts and entertainment, and how it affects the people who create it. The Future of Art and Technology Takes a speculative look into the future, discussing the worst-case scenarios like the disappearance of a middle class of artists. Counterbalances this with a "Golden Age" where technology enables more artists to live off their work. Highlights the ethical and financial considerations that will shape this future, particularly the need for fair compensation for artists. Personal Reflections Andrew delves into his own experiences with balancing creativity and technological skill. Provides an insightful look into what he has learned from the ever-changing worlds of tech and entertainment. Closes with his hopeful perspective on the endless possibilities that lie at the intersection of art and technology.