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Written by Russ Whitman, Chief Strategy Officer
Many of us were captivated by the introduction of the Rabbit R1 device by the CEO of Rabbit.tech; it was one of the best product announcements I’ve seen in a long time. While many have questioned the need for an “extra” device (yes, I preordered one), what intrigued me was the way the company looked at the “actions” you could do based on context and language understanding. The “Large Action Model” (LAM) as a user interface AND control model are very compelling and potentially signals a profound shift in the artificial intelligence landscape, moving from the generation of content through Large Language Models (LLMs) to taking decisive actions and making impactful decisions with LAMs. This evolution isn't just technological; it's philosophical, touching the very core of how we interact with the digital world.
Launch, as an AI-first digital consultancy, is at the forefront of harnessing these innovations. Our role is to bridge the gap between innovative AI technologies and the organizations that can generate benefit, ensuring our clients not only keep pace with these changes, but lead them. We are helping our customers take advantage of the massive advancements from generative AI, and we believe that integrating LAMs into future business models and user experiences can offer entirely new experiences and insight value, further driving digital transformation across every sector we touch.
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I have been building digital applications since 1995, leveraging the graphical interface of a mouse and keyboard, moving to touchscreens when I was part of the icebox team where we created a digital appliance for the kitchen. The shift to touch was interesting but became profound with the magical experience of the iPhone. That same sense happened for me when in 2011, we built a “voice controlled” iPad App called iCookbook – I could see the power of using voice to control actions, but it was incredibly limited. Since that time, I have been involved in building all kinds of voice enabled applications (many Alexa Skills), but throughout there was this massive gap in the experience - context. The applications we created could guess intent and provide responses based on projected context and the finite capabilities available, but it wasn’t until LLM’s that this divide could be crossed. This makes the possibility of LAMs a reality.
The introduction of LAMs, like the R1 device, represents a significant leap towards a future where generative AI can transcend creation to becoming an active participant in our daily lives. Unlike using an LLM to prompt in order to generate an output, an LAM can execute tasks, even complex ones (potentially autonomously). They can navigate the digital ecosystem to perform duties ranging from scheduling appointments to managing finances, all while prioritizing user privacy and security. This leap is akin to having a digital extension of oneself, capable of understanding and acting upon the world in a meaningful way. It’s the first step in creating a digital twin.
The implications of this transition are profound and far-reaching. Consider the Healthcare sector, where LAMs could advance patient care by analyzing data, predicting outcomes based on access to vast data and understanding the context of the situation, to even administer treatments with precision and empathy previously thought impossible. In the Consumer space, imagine a world where AI understands your needs so well it can predict what you want before you even ask, transforming shopping, entertainment, and personal finance into truly customized experiences. Financial Services, too, could completely transform, with LAMs poised to revolutionize everything from personal banking to global investment strategies.
Amy Webb's 2024 Future Tech Trends report further illuminates this journey, highlighting the emergence of LAMs as a key trend shaping the future of technology. The report, renowned for its insights into technological advancements, corroborates the significance of LAMs, predicting their impact across various industries. It's a compelling affirmation of what we believe: LAMs are not merely a new tool in our digital arsenal, but a paradigm shift in how we conceive of and interact with AI.
The potential applications are as varied as they are impactful. From enterprise companies optimizing supply chain logistics through real-time decision-making (not just reporting) to enhancing educational tools with personalized learning pathways, LAMs promise to redefine our approach to problems and opportunities alike. They also have the potential to change the consumer experience profoundly, which will change the way companies provide their good and services.
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Today, I can simply ask Alexa to re-order coffee, and it will arrive in a matter of days. Tomorrow, I will use AI to help me plan a work event, working with me through a series of conversations to land on a final set of items: location, time, theme, food, drink etc., and a LAM will execute on it. It will order the items, send out the invites, and track status – even making new decisions as data presents itself. In this model, there may be no screens, maybe no ads (there will probably be ads 😊). There is a ton of web infrastructure that will need to change.
As we stand on the brink of this new era, it's clear that the transition from LLMs to LAMs is not just a technological evolution, but a reimagining of the relationship between humans and machines. It challenges us to reconsider what is possible when we combine human ingenuity with the capabilities of advanced AI.
For Launch, this represents an unparalleled opportunity. Our mission has always been to lead through innovation, and the advent of LAMs aligns perfectly with our vision. By embracing these models, we can help our clients not only navigate the complexities of digital transformation, but also redefine what it means to be a leader in the digital age.
The journey from LLMs to LAMs is just beginning, but its implications are already unmistakable. As we look to the future, we're excited about the possibilities that these technologies hold for our clients and the broader world. In this era of unprecedented change, Launch remains committed to exploring the frontier of AI, ensuring that our clients are not just prepared for the future but actively shaping it.
Russ Whitman is an experienced executive leader in AI and digital transformation, creating and leading compelling strategies that drive market growth and organizational performance. Specialties include AI Transformation, Technology & Business Strategy, Software, Cloud, & AI. Learn more about Russ here.
%402x.svg){kind=icon}
Written by Russ Whitman, Chief Strategy Officer
Many of us were captivated by the introduction of the Rabbit R1 device by the CEO of Rabbit.tech; it was one of the best product announcements I’ve seen in a long time. While many have questioned the need for an “extra” device (yes, I preordered one), what intrigued me was the way the company looked at the “actions” you could do based on context and language understanding. The “Large Action Model” (LAM) as a user interface AND control model are very compelling and potentially signals a profound shift in the artificial intelligence landscape, moving from the generation of content through Large Language Models (LLMs) to taking decisive actions and making impactful decisions with LAMs. This evolution isn't just technological; it's philosophical, touching the very core of how we interact with the digital world.
Launch, as an AI-first digital consultancy, is at the forefront of harnessing these innovations. Our role is to bridge the gap between innovative AI technologies and the organizations that can generate benefit, ensuring our clients not only keep pace with these changes, but lead them. We are helping our customers take advantage of the massive advancements from generative AI, and we believe that integrating LAMs into future business models and user experiences can offer entirely new experiences and insight value, further driving digital transformation across every sector we touch.
I have been building digital applications since 1995, leveraging the graphical interface of a mouse and keyboard, moving to touchscreens when I was part of the icebox team where we created a digital appliance for the kitchen. The shift to touch was interesting but became profound with the magical experience of the iPhone. That same sense happened for me when in 2011, we built a “voice controlled” iPad App called iCookbook – I could see the power of using voice to control actions, but it was incredibly limited. Since that time, I have been involved in building all kinds of voice enabled applications (many Alexa Skills), but throughout there was this massive gap in the experience - context. The applications we created could guess intent and provide responses based on projected context and the finite capabilities available, but it wasn’t until LLM’s that this divide could be crossed. This makes the possibility of LAMs a reality.
The introduction of LAMs, like the R1 device, represents a significant leap towards a future where generative AI can transcend creation to becoming an active participant in our daily lives. Unlike using an LLM to prompt in order to generate an output, an LAM can execute tasks, even complex ones (potentially autonomously). They can navigate the digital ecosystem to perform duties ranging from scheduling appointments to managing finances, all while prioritizing user privacy and security. This leap is akin to having a digital extension of oneself, capable of understanding and acting upon the world in a meaningful way. It’s the first step in creating a digital twin.
The implications of this transition are profound and far-reaching. Consider the Healthcare sector, where LAMs could advance patient care by analyzing data, predicting outcomes based on access to vast data and understanding the context of the situation, to even administer treatments with precision and empathy previously thought impossible. In the Consumer space, imagine a world where AI understands your needs so well it can predict what you want before you even ask, transforming shopping, entertainment, and personal finance into truly customized experiences. Financial Services, too, could completely transform, with LAMs poised to revolutionize everything from personal banking to global investment strategies.
Amy Webb's 2024 Future Tech Trends report further illuminates this journey, highlighting the emergence of LAMs as a key trend shaping the future of technology. The report, renowned for its insights into technological advancements, corroborates the significance of LAMs, predicting their impact across various industries. It's a compelling affirmation of what we believe: LAMs are not merely a new tool in our digital arsenal, but a paradigm shift in how we conceive of and interact with AI.
The potential applications are as varied as they are impactful. From enterprise companies optimizing supply chain logistics through real-time decision-making (not just reporting) to enhancing educational tools with personalized learning pathways, LAMs promise to redefine our approach to problems and opportunities alike. They also have the potential to change the consumer experience profoundly, which will change the way companies provide their good and services.
Today, I can simply ask Alexa to re-order coffee, and it will arrive in a matter of days. Tomorrow, I will use AI to help me plan a work event, working with me through a series of conversations to land on a final set of items: location, time, theme, food, drink etc., and a LAM will execute on it. It will order the items, send out the invites, and track status – even making new decisions as data presents itself. In this model, there may be no screens, maybe no ads (there will probably be ads 😊). There is a ton of web infrastructure that will need to change.
As we stand on the brink of this new era, it's clear that the transition from LLMs to LAMs is not just a technological evolution, but a reimagining of the relationship between humans and machines. It challenges us to reconsider what is possible when we combine human ingenuity with the capabilities of advanced AI.
For Launch, this represents an unparalleled opportunity. Our mission has always been to lead through innovation, and the advent of LAMs aligns perfectly with our vision. By embracing these models, we can help our clients not only navigate the complexities of digital transformation, but also redefine what it means to be a leader in the digital age.
The journey from LLMs to LAMs is just beginning, but its implications are already unmistakable. As we look to the future, we're excited about the possibilities that these technologies hold for our clients and the broader world. In this era of unprecedented change, Launch remains committed to exploring the frontier of AI, ensuring that our clients are not just prepared for the future but actively shaping it.
Russ Whitman is an experienced executive leader in AI and digital transformation, creating and leading compelling strategies that drive market growth and organizational performance. Specialties include AI Transformation, Technology & Business Strategy, Software, Cloud, & AI. Learn more about Russ here.
