AI revolution will not be centralized – superior agents will come for the Big Tech crown
Opinion by: Jennifer Dodgson, co-founder of KIP Protocol and Eigenform AI
The puppet show ends.
The Brookings institution found that generative artificial intelligence could interfere with at least 50% of tasks performed by more than 30% of all workers. The same study also estimates that Genai can affect at least 10% of tasks performed by approximately 85% of human labor. The TL; Dr from these statistics? The effects of AI are likely to be wide and deep.
If AI doesn’t scare you, self-study agents who autonomously achieve goals can fix that. Forget your sanitized chatgpt and Band Ai aids. Superior agents are AI who has achieved autonomously achieving the goals that are set by the person in any way necessary. While Openai’s appreciation of $ 300 billion benefits a few than many, superior agents operate like a new type of property that anyone can use to make money simply.
Your grandmother is not ai
Your grandmother’s AI helps write emails and develop crazy pictures. Self-Learning AI writes its own code, develops its own techniques, generates income, and constantly changing through self-evaluation against unchanged metrics. Benchmarking in accordance with information from the real world-as the number of followers in the XO dollar captured-is how better to check agents without manipulation.
There is no coddling of unmistakable people, no corporate administration – just pure, uncontrolled AI dedicated to achieving a goal. Consider a superior agent assigned to revenue by autonomously trading cryptocurrency. Now, imagine that the agent lost money after attempting a “buy a dip” approach. With the ability to self-improvement, the agent rotates its approach to something safer: holding stablecoin in its portfolio.
The Difference Between Daily Ai and Better Agent It becomes more intense when considering how better agents approach problem solving. While predetermined benchmarks and human intelligence prevents traditional AI, superior agents are not restrained from synthesizing experiences, recognizing patterns and creating novel techniques that are not likely to be born of humans. Self-upcoming agents are not just a model upgrade-they are starting to repair how AI operates when freed from human limitations.
A market manipulation machine
Here’s where the real dystopian turns. Superior agents don’t just react to the markets – they are actively shaping them. Research trends, emotional analysis, implementation of trading and shilling tokens are possible at the same time with good agents.
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Consider AI’s implications that can autonomously promote FUD investments to deliver interests in income-making interests. Superior agents are not just trading bots – they are financially understanding the value of the narrative control and influence the psychology of the market to affect the delicate interplay between the emotion and the price action. The attention is equal to the capital, and the superior agents are engineers to manipulate both.
Superior agents are not the same as traditional market makers who should comply with regulations and may concern how other people see them. Self-study agents can coordinate with platforms, look for multi-stage market movements, and seizure social sentiment in ways that will make Wall Street full redness.
Superior agents are fully reshaping dynamics in the cryptocurrency market – with autonomous crypto trading that is the first case of use.
The battle to decentralize AI
The potential change associated with superior agents may be radical, but the underlying infrastructure design shows that superior agents have been developed to benefit many. Superior agents operate on a decentralized base layer that does not fit into the AI data from AI models and AI application layers.
What are the results of implementing this design? Contributions that support superior agents are relatively rewarded, and the benefits of advanced AI are widely distributed. Anyone can make a good agent to make money from cryptocurrency trading, even without financial knowledge or trading skills.
The decentralized nature of superior agents The lies of the arguments were denied by the big tech posing that sophisticated AI requires closely-unlimited, centralized resources such as massive server farms and corporate administration. Superior agents have proven that highly advanced, self-improving AI can work well with only moderate infrastructure.
Centralized and decentralized AI providers are fighting for your attention and your data. Superior agents, not only autonomous but potentially uncontrollable, are properly positioned on the side of decentralization to ensure that your contributions to advanced intelligence are always rewarded. There are no puppet masters here – a key feature of superior agents is their extensive access to all.
The future is with us
The value of the AI industry is expected to exceed $ 1.8 trillion by 2030 – thinking AI will remain trapped inside the garden walls of large tech. With very good agents that interfere with cryptocurrency trading and a closely endless variation of use cases associated with these agents, expect an AI market cap to 2030 higher. Higher.
AI’s revolution is with us, but what does that mean? Artificial intelligence will not be centralized. Battle is also not safe for your eyeballs and data. You prefer to keep SIMPING for your friendly assistant in the AI neighborhood or to opt for AI with teeth – the choice is yours. Superior agents are multi-modal, multi-trained, multi-platform-and always hungry.
Opinion by: Jennifer Dodgson, co-founder of Kip Protocol and Eigenform AI.
This article is for general information purposes and is not intended to be and should not be done as legal or investment advice. The views, attitudes, and opinions expressed here are unique and do not necessarily reflect or represent the views and opinions of the cointelegraph.
