Despite being a massive piece of the bigger AI puzzle, computer vision doesn’t always get the recognition it deserves. Robb and Josh welcome Dr. Jason Corso, Professor of Robotics at University of Michigan for an In Action episode that explores the complexity and power of machines that can see. Jason is the Co-Founder and Chief Science Officer of Voxel51, which is backed by Bessemer Venture Partners, and in this episode he demonstrates open-source tools available for working with massive datasets that include images and videos. The trio also discuss the border implication of adding the context that vision can afford to multi-agent systems.Explore Dr. Jason Corso’s Voxel51 platform: https://voxel51.com/ FiftyOne Open Source: Voxel51's open source toolkit for building high-quality datasets and computer vision models.FiftyOne Teams: Voxel51’s commercial offering based on open source FiftyOne.People can try FiftyOne at try.fiftyone.ai. Voxel51 on Github: https://github.com/voxel51/fiftyoneA course on Coursera that Voxel51 created called "Hands-on Data Centric Visual AI" —  https://www.coursera.org/learn/hands-on-data-centric-visual-aiLearn about orchestrating AI agents for your team:AI agent landing page with the whitepaper: https://onereach.ai/ai-agents/?utm_source=soundcloud+&utm_medium=social&utm_campaign=computer_vision_in_action_episode&utm_content=1 Learn about the only tools for orchestrating AI agents that are named a leader by all major analyst firmsAI agent landing page (dev): https://aiagents.onereach.ai/?utm_source=soundcloud&utm_medium=social&utm_campaign=computer_vision_in_action_episode&utm_content=1 #AIPodcast#TechPodcast#InvisibleMachines#AI #ArtificialIntelligence#AIAgents#AgenticAI#ComputerVision#MultiAgentSystems#DataScience#TechInnovation#AIinAction#GenerativeAI#NoCode#Automation #DigitalTransformation#AITech

What’s it like to build an AI agent? Daniel Lametti, Associate Professor of Psycholinguistics at Acadia University, Visiting Fellow at the University of Oxford, and Senior Academic Advisor to OneReach.ai, returns to Invisible Machines to demonstrate how easy it can be to create and iterate on AI agents.Like other In Action episodes, you’ll watch as we walk through the practical realities of building these systems. This time, see how professor Daniel Lametti creates an objective-based AI agent that helps users craft and send emails. Though he’s hesitant to think of himself as one, conversational technologies have made Daniel a deft software developer. In this In Action episode, Daniel shares his experiences building AI agents with Robb and Josh. The trio discuss and show how coding languages are moving further into the background as machines become more adept at communicating in human language.Follow Daniel Lametti’s work: https://psychology.acadiau.ca/daniel-lametti.htmlLearn about orchestrating AI agents for your team:https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=email_agents_in_action_episode&utm_content=1 #AIPodcast#TechPodcast#InvisibleMachines#AI #ArtificialIntelligence#AIAgents#AgenticAI#GenerativeAI#LLMs#ConversationalAI#InAction#NoCode#Automation #DigitalTransformation#NaturalLangiageProcessing#Email#SoftwareDevelopment#FutureofAI#UXDesign#MachineLearning#AITech

Robb and Josh are joined by Ed Klaris, Managing Partner at Klaris Law, Columbia Law professor, and CEO of KlarisIP, for a conversation about the fate of generative tools like LLMs and AI models that produce audio and video. From Ed’s viewpoint, giant tech companies used stolen content to train the powerful AI models that have quickly changed the world around us. The trio discuss the question of whether or not it’s lawful for us all to use generative AI tools and how IP and copyright law will impact, and be impacted by generative AI. As we wait for landmark decisions that will determine the fate of these tools, this conversation with Ed Klaris offers context and food for thought, and for some maybe even a sense of alarm. In this episode, we mention: The US Copyright Office: https://copyright.gov/ The Statute of Anne, also known as the Copyright Act 1710: https://en.wikipedia.org/wiki/Statute_of_Anne Google Books copyright case: https://en.wikipedia.org/wiki/Authors_Guild,_Inc._v._Google,_Inc. AIr Canada AI chatbot case: https://www.forbes.com/sites/marisagarcia/2024/02/19/what-air-canada-lost-in-remarkable-lying-ai-chatbot-case/ Follow Ed Klaris's work: https://www.klarislaw.com/ Learn about orchestrating AI agents for your team: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=copyright_law_episode&utm_content=1 #AIPodcast #TechPodcast #InvisibleMachines #AI #ArtificialIntelligence #AIAgents #AgenticAI #GenerativeAI #LLMs #IntellectualProperty #CopyrightLaw #AIEthics #TechLaw #AIRegulation #DigitalTransformation #Innovation #FutureofAI #AIandIP #LegalTech #AITransparency

Jieun Kiaer is the Professor of Korean Linguistics at Oxford and her new book, The Future of Syntax: Asian Perspectives in an AI Age, explores the complexity within Chinese, Japanese, and Korean languages, arriving at insights that veer away from traditional approaches to formal syntax. The book also revisits Marc Prensky’s “digital native” concept, laying the groundwork for a new generation of technology users, “AI natives.” Jieun joins Robb and Josh for a conversation about the promise and peril of radical new technologies in classroom settings and how we might shift our focus to designing a positive future for AI natives. In this episode, we mention: Jieun Kiaer’s book “The Future of Syntax: Asian Perspectives in an AI Age”: https://www.bloomsbury.com/us/future-of-syntax-9781350258273/ Follow Jieun Kiaer’s work: https://www.ames.ox.ac.uk/people/jieun-kiaer Learn about orchestrating AI agents for your team: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=future_for_ai_natives_episode&utm_content=1 #AIPodcast #TechPodcast #InvisibleMachines #AI #ArtificialIntelligence #AIAgents #DigitalTransformation #Innovation #AIInEducation #DigitalNatives #AINatives #FutureOfLearning #TechnologyInClassrooms #AIandEducation #AsianLanguages #Linguistics #TechnologyInEducation #LanguageLearning ##JieunKiaer

Marc Prensky is widely known for coining the terms “digital native” and “digital immigrant”—both now in the Oxford English Dictionary. In this episode, Marc joins Josh for a conversation about the shortcomings of our current education system and how AI might help inspire and enable a new generation of "AI natives" to design their own future. The two discuss the challenges that companies face in adjusting to this new technology paradigm, as well as the potential benefits and risks that conversant machines bring to society. As an eternal optimist, Marc shares his vision of how young people in the third millennium might view productivity and purpose. Marc and Josh also debate the role smartphones play in the classroom of the future, and agree that the world needs more love, empathy, gratitude, and optimism. In this episode, we mention: Marc Prensky’s book “Third Millennium Kids: A Hell Yes! Low Stress Guide For Everyone”: https://www.amazon.com/Third-Millennium-Kids-Stress-Everyone/dp/B0DC3J8XV6 Learn more about Marc Prensky: marcprensky.com Learn about orchestrating AI agents for your team: SoundCloud: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=digital_natives_episode&utm_content=1 YouTube: https://onereach.ai/ai-agents/?utm_source=youtube&utm_medium=social&utm_campaign=digital_natives_episode&utm_content=1 #AIPodcast #TechPodcast #InvisibleMachines #AI #ArtificialIntelligence #ConversationalAI #AIAgents #TechInsights #DigitalTransformation #TechTalk #Innovation #DigitalNatives #AIInEducation #FutureOfLearning #TechnologyInClassrooms #MarcPrensky #AINatives

With consumer use of AI technology outpacing enterprise adoption, the fear of companies using AI to get rid of employees has been flipped on its head into legitimate threat to the existence of companies as we know them. There’s nothing preventing consumers from using generative tools to disrupt large companies—for example, using a fleet of AI agents to flood and debilitate a call center to take advantage of a promotion. Harsha Gowda and Nitin Bhudia, respectively the CTO and Director of Innovation at Getronics, join Robb and Josh to discuss the risk organizations take by dragging their feet in the race for AI adoption. This conversation explores how organizations can embrace “artificial incompetence” as a necessary initial phase on the course to artificial intelligence, and seed the velocity that will transform their operations. By using AI agents to create an abstraction layer over existing solutions, organizations can take control of their futures. In this episode, we mention: The Invisible Machines episode “Digital Twins in an Agentic World” with Dr. Michael Grieves, the father of Digital Twins: https://www.youtube.com/watch?v=KsL3w2bVjmw The TV series “Fawlty Towers”: https://www.imdb.com/title/tt0072500/ Learn more about Getronics: https://www.getronics.com/ Discover how to succeed with an agentic approach to software: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=ai_and_companies_episode&utm_content=1 #AIPodcast #TechPodcast #InvisibleMachines #AI #ArtificialIntelligence #ConversationalAI #AIAgents #TechInsights #DigitalTransformation #TechTalk #Innovation #GenerativeAI #BusinessStrategy #AIAdoption #OrganizationalAGI

Dr. Michael Grieves, a pioneer in digital twin technology developed during his NASA collaboration, joins the discussion about AI orchestration. He explains how digital twins provide essential context for AI agents, improving efficiency and user experience. The chat delves into the evolution of digital twins and their real-time implications across industries, from aerospace to smart tech. Grieves also tackles the challenge of 'retirementitus,' inhibiting innovation in organizations, and explores practical strategies for implementing digital twins incrementally.

As AI agents continue to alter the way people interface with technology, Robb and Josh were eager to speak with journalist Matt Alston about his popular Business Insider article “Everyone hates Workday.” In this deep exploration of our multifaceted interactions with machines, Matt reminds us that Workday’s UX is different across a whole spectrum of users, and that generally speaking, people don’t like using software. The patterns we follow when operating software end up shaping our thinking, and as we move into a world dominated by conversational interfaces, it’s important to consider the way these systems are intertwined with our minds. Don’t miss this eye-opening episode about the future of project management. Learn more about creating and orchestrating AI agents to streamline your business operations: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=matt_alston_episode&utm_content=1 Article, “Everybody hates Workday”: businessinsider.com/everyone-hates-workday-human-resources-customer-service-software-fortune-500-2024-5 Learn more about Matt Alston: mattalston.com. #AIPodcast #InvisibleMachines #AI #ArtificialIntelligence #ConversationalAI #AIAgents #UXDesign #Workday #ProjectManagement #FutureOfWork #UserExperience #SoftwareDevelopment #TechInsights

In a fascinating discussion, Janelle Teng, Vice President at Bessemer Venture Partners and former Salesforce product manager, shares insights on how AI agents are reshaping the SaaS landscape. She highlights the urgency for SaaS companies to innovate or face decline, as consumer adoption of AI surges ahead of businesses. The conversation dives into the benefits of a multi-agent approach to automation and the challenges startups face amidst rapid technological changes. Janelle also explores future applications of AI in sectors like healthcare and finance, emphasizing the crucial need for adaptability.

Join Sophie Bushwick, Senior News Editor at New Scientist and a frequent contributor to Science Friday, as she dives into the intriguing world of anthropomorphism in AI. Sophie discusses the emotional connections we form with tech, tracing roots back to Tamagotchis. She explores the ethical challenges corporations face in designing AI and questions whether these entities serve as tools or potential tyrants. Discover how AI can enhance productivity while influencing social interactions—highlighting the delicate balance between usefulness and human-like empathy.