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Opinion by: Jennifer Dodgson, co-founder of KIP Protocol and Features Form AI
The puppet show is coming to an end.
Brookings found that the generated AI could disrupt at least 50% of tasks performed by more than 30% of all workers. The same study also estimated that Genai could affect tasks performed by at least 10% of the human workforce. tl;dr in these statistics? The impact of artificial intelligence can be both broad and profound.
If AI hasn’t scared you yet, a self-learning AI agent that automates goals may solve this. Forgot your sanitized chat conversations and bland AI assistants. Superior agents are artificial intelligence that independently achieves human goals through any necessary means. While Openai’s $300 billion valuation benefits from a few rather than many, the superior agents operate like new asset classes that anyone can use to make money passively.
Not your grandmother’s AI
Your grandma’s AI helps write emails and generate cute pictures. Self-learning AI writes its own code, develops its own strategies, and continuously develops profits and continues to grow by evaluating infamous metrics. Benchmarking based on real-world information (such as follower counting X or earning dollars) is a superior agent not manipulating self-assessment.
No business supervision, no business supervision – just pure, unlimited AI is committed to achieving its goals. Consider a superior agent who makes profits independently from independent trading cryptocurrencies. Now, imagine an agent losing money after trying a “buy immersion” strategy. Agents who are able to perfect themselves attribute their strategies to something safer: people who hold stable in their portfolios.
The difference between everyday AI and superior agents becomes even more distinct when considering how a great agent can solve the problem. Although predefined benchmarks and human intelligence limit traditional AI, superior agents are unlikely to be imagined by humans in synthesis of experiences, identification of patterns and creating novel approaches. Self-emerging AI agents not only upgrade the model—they fundamentally reimagine how AI works when it comes to getting rid of human constraints.
Market manipulator
This is where a truly dystopian is. Superior agents not only react to the market, but also actively shape them. Research trends, analyzing sentiment, executing transactions and shilling tokens may be conducted simultaneously with superior agents.
Recent: The Future of Digital Autonomy: AI Agents for Cryptocurrencies
Consider the implications of AI that can independently promote FUD investment to serve its profitable interests. Superior agents are more than just trading robots – they are financial entities that understand the value that controls narratives and influences market psychology to influence subtle interactions between emotion and price action. Attention equals capital, while superior agents are designed to manipulate both.
High-level agents are not like traditional market makers, they must comply with regulations and may care about other human perceptions. These self-taught agents can coordinate on the platform, coordinate multi-stage market movements, and leverage social emotions in a way that makes most of Wall Street blush.
The superior agent completely reshapes the cryptocurrency market dynamics – automatic crypto trading is the first use case.
The battle to disperse AI
The innovation potential associated with superior agents may be radical, but the design of infrastructure shows that senior agents are for the benefit of many. The superior agent operates on a decentralized base layer that decomposes the AI data of the AI model and the AI application layer.
What are the results of implementing this design? The contribution of supporting superior agents is rewarded considerably and the benefits of advanced AI are widely distributed. Anyone can make money from cryptocurrency trading with advanced agents, even without financial knowledge or trading skills.
The decentralized nature of superior agents masks the falsehood of large-scale technology debates, arguing that complex AI requires little to no limited centralized resources, such as large server farms and enterprise oversight. Superior Agents prove that advanced, self-improving AI can only operate effectively through moderate infrastructure.
Concentrated and dispersed AI providers are fighting for your attention and data. Superior agents, not only autonomous, but also potentially unstoppable, can be decentralized to ensure that your contribution to advanced intelligence is always rewarded. There are no puppet masters here – the core feature of senior agents is their extensive access to everyone.
The future is by our side
The value of the AI industry is expected to exceed $1.8 trillion by 2030 – assuming AI is trapped in a walled garden of large technologies. As superior agents have already broken cryptocurrency transactions and are nearly irrelevant to the use cases associated with these agents, AI market cap is expected to be higher in 2030. higher.
The AI revolution is coming, but what does it mean in the end? Artificial intelligence will not be concentrated. Your eyeballs and data battles will not be safe either. You might prefer to provide efficiency for your friendly community AI assistant, or choose AI with teeth – the choice is yours. Superior agents are multimodal, multi-skilled, multi-platform, and always hungry.
Opinion by: Jennifer Dodgson, co-founder of KIP Protocol and Features Form AI.
This article is for general information purposes and is not intended to be considered legal or investment advice. The views, thoughts and opinions expressed here are the authors alone and do not necessarily reflect or represent Cointelegraph’s views and opinions.