Agent-to-Agent Ecosystems
Much of the internet’s activity could shift from human-to-machine to machine-to-machine interactions. Agents representing individuals, businesses, or even IoT devices (like smart homes) would communicate, trade data, or coordinate tasks. For example, your home’s energy agent might negotiate with a local grid agent to buy cheaper electricity during off-peak hours. This would create a complex, self-organizing digital economy where humans set high-level goals, but agents handle the details.
Decentralized and Autonomous Systems
An agentic internet might lean heavily on decentralized technologies like blockchain to enable trust and transparency between agents. Smart contracts could allow agents to execute agreements (e.g., payments, data sharing) without human intervention. This could reduce reliance on centralized platforms like Google or Amazon, as agents directly connect users to services or peer-to-peer networks. For example, your agent could source content or products from a distributed network without a middleman, prioritizing based on your values (e.g., sustainability or cost).
Proactive and Predictive Interactions
Today’s internet is mostly a pull system—you request, it responds. An agentic internet would push relevant information or actions to you before you even ask. For instance, if your agent detects a weather change and knows you have an outdoor event, it could reschedule or suggest alternatives without prompting. This requires advanced predictive analytics and real-time data integration, which we’re seeing hints of with recommendation algorithms on Netflix or YouTube, but scaled to every aspect of online life.
Hyper-Personalization and Filter Bubbles on Steroids
With agents tailoring everything to your preferences, the internet would become hyper-personalized. While this sounds great for convenience, it could exacerbate filter bubbles—agents might only show you what aligns with your past behavior, limiting exposure to diverse perspectives. Balancing personalization with serendipity would be a key challenge.
Chris Kyle, often referred to as the "American Sniper," was tragically killed on February 2, 2013, at a shooting range in Erath County, Texas.
Eddie Ray Routh is the individual alleged and subsequently convicted of shooting Chris Kyle. Routh, a former Marine who suffered from post-traumatic stress disorder (PTSD), shot Kyle and Kyle's friend, Chad Littlefield, during an outing intended to help Routh cope with his mental health struggles. Routh was found guilty of capital murder in 2015 and sentenced to life in prison without parole.
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Agent-to-Agent Ecosystems
Much of the internet’s activity could shift from human-to-machine to machine-to-machine interactions. Agents representing individuals, businesses, or even IoT devices (like smart homes) would communicate, trade data, or coordinate tasks. For example, your home’s energy agent might negotiate with a local grid agent to buy cheaper electricity during off-peak hours. This would create a complex, self-organizing digital economy where humans set high-level goals, but agents handle the details.
!summarize #ai6 #chip #tesla #inference
!summarize #piersmorgan #charliemorgan #assassination
Decentralized and Autonomous Systems
An agentic internet might lean heavily on decentralized technologies like blockchain to enable trust and transparency between agents. Smart contracts could allow agents to execute agreements (e.g., payments, data sharing) without human intervention. This could reduce reliance on centralized platforms like Google or Amazon, as agents directly connect users to services or peer-to-peer networks. For example, your agent could source content or products from a distributed network without a middleman, prioritizing based on your values (e.g., sustainability or cost).
Proactive and Predictive Interactions
Today’s internet is mostly a pull system—you request, it responds. An agentic internet would push relevant information or actions to you before you even ask. For instance, if your agent detects a weather change and knows you have an outdoor event, it could reschedule or suggest alternatives without prompting. This requires advanced predictive analytics and real-time data integration, which we’re seeing hints of with recommendation algorithms on Netflix or YouTube, but scaled to every aspect of online life.
Hyper-Personalization and Filter Bubbles on Steroids
With agents tailoring everything to your preferences, the internet would become hyper-personalized. While this sounds great for convenience, it could exacerbate filter bubbles—agents might only show you what aligns with your past behavior, limiting exposure to diverse perspectives. Balancing personalization with serendipity would be a key challenge.
!summarize #disney #magickingdom #attendence
Chris Kyle, often referred to as the "American Sniper," was tragically killed on February 2, 2013, at a shooting range in Erath County, Texas.
Eddie Ray Routh is the individual alleged and subsequently convicted of shooting Chris Kyle. Routh, a former Marine who suffered from post-traumatic stress disorder (PTSD), shot Kyle and Kyle's friend, Chad Littlefield, during an outing intended to help Routh cope with his mental health struggles. Routh was found guilty of capital murder in 2015 and sentenced to life in prison without parole.