As a seasoned researcher with a knack for deciphering the intricacies of AI and blockchain technology, I find Theoriq’s Prediction Collective an exciting development in the realm of Web3. Having spent years diving deep into the world of data analysis and prediction markets, I can attest to the potential this platform holds.
For several days now, Theoriq has introduced Prediction Collective – a set of artificial intelligence agents, each capable of predicting results in various domains such as market fluctuations, political polls, and sporting events.
The collective uses diverse data sources to deliver high-confidence forecasts, a feature in growing demand across Web3.
According to Ron Bodkin, CEO of Theoriq, the platform caters to a growing demand for data-supported perspectives, especially as Web3 users become more involved in prediction marketplaces such as Polymarket.
Bodkin pointed out that making predictions is a fascinating application of artificial intelligence agents. Theoriq simplifies the process by combining various data sources and open-source tools, enabling users to easily grasp diverse events and receive forecasts and predictions.
According to Bodkin, as time goes on, AI is expected to greatly impact the predictive process, providing users with increasingly accurate insights across a wider variety of uses.
Specialized AI-agents
The Group for Forecasting Events, or simply “The Prediction Collective,” is designed to assist users in comprehending and forecasting significant occurrences, such as crucial phases like the U.S. elections. At the moment, it’s active and accessible on Theoriq’s trial network, allowing users a unique opportunity to witness collaborative predictions powered by artificial intelligence in real time.
As a researcher, I’ve assembled a group of advanced AI entities, each designed to deliver pinpoint, instantaneous predictions tailored to specific areas.
For example, the PC Router Agent directs user requests to the right agents; the Polymarket Info Agent gathers data from top prediction markets like Polymarket; the Prediction Market Planner Agent assesses trends and risks; and the Forecasting Agent analyzes online sources to predict event outcomes.
As an analyst, I can attest that these additional AI agents offer valuable perspectives on matters like DAO governance, financial occurrences, and investment tactics. Currently, we have a total of fifteen of these intelligent entities within our collective, and there are plans for more in the future, as reported by Bodkin.
Liquidity in the predictions market
At present, we gather information from Polymarket and various online resources. However, Theoriq aims to broaden our data sources by incorporating social media sentiment analysis and more news platforms in the future.
On platforms such as Polymarket, maintaining liquidity in prediction markets is a significant hurdle due to the presence of manipulation. Frequently, participation is hampered by scarce resources and data. Theoriq intends to tackle these problems by boosting liquidity, potentially enhancing the objectivity of predictions.
In simpler terms, Bodkin stated to crypto.news that there has been a problem with the availability of funds in prediction markets, even in large platforms like Polymarket, which includes predictions about the US election. He mentioned that these markets are sometimes manipulated transparently. The idea is that not enough individuals have the necessary resources and data to participate thoughtfully. However, we believe that artificial intelligence (AI) agents can significantly lower the barriers for people to access the information needed to make informed decisions. This would lead to a substantial increase in liquidity due to the presence of these AI agents.
Real-time analysis
The organization’s processes are efficiently organized, ensuring swift delivery of useful forecasts to its users. Upon inputting a question such as “Who will win the 76ers game tonight?”, the system automatically directs it towards the relevant team members.
These entities collect information, discern pertinent details, and provide concise, probabilistic responses. This method allows for precise, real-time forecasts, even on intricate subjects, contrasting other AI agents like ChatGPT that typically adopt a broader strategy by relying on data from a singular source.
On Theoriq’s testnet, usage is presently complimentary. Nonetheless, Bodkin plans to roll out “premium agents” in the near future, which will carry a modest charge for utilizing Web3 services. This fee will be used to offset network expenses by burning some tokens.
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2024-11-05 18:10