Openai launches AI Agent ‘Operator’
On January 23, Openai revealed “operator” You have an agent Designed to perform complex, multi -step tasks autonomously. In a live demonstration, the operator handled tasks such as doing restaurant surveys, ordering groceries and buying event tickets from beginning to end, with minimal user interaction in addition to entering the first prompt.
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The operator runs on Openis Computer with Agent Model (CUA)built on GPT-4O. This system allows Artificial Intelligence (AI) to open a cloud -based browser and perform tasks with user -defined guidelines while providing users to intervene at all stages to override and take control from the autonomous system.
At present, the operator is only available to GPT PRO users in the US – those who pay $ 200 per month for Openai’s services.
The launch marks a significant moment in AI. For several months, other companies have pre -examined and tested their agents privately, but in the end have not delivered a public AI agent that Openai has. In addition, many of these early AI agents operated within their own walled gardens and had limited capacities. However, Openai’s operator, with its ability to manage complex, multi -step tasks, seems closer to fulfilling Agent’s original vision The world was promised: one AI system It can independently handle multi -step tasks from beginning to end.
AI Data Centeritiative of $ 100 billion in the United States
January 21st President Donald TrumpOracle CEO Larry Ellison, Softbank (Nasdaq: Sftby) CEO Masayoshi Son, and Openai’s CEO Sam Altman Announced “Stargate”, a Data Center company for artificial intelligence. Stargate is a joint effort led by Oracle, Softbank and Openai, which aims to invest at least $ 100 billion in developing new AI-powered data centers across the United States.
During their press conference, the team stated that 10,500,000 square meters data centers are already under construction in Texas and that they hope to quickly increase the number to 20 data centers. In addition to the investment of $ 100 billion, the group announced plans to collect up to $ 500 billion to expand the project, with grants expected from other major technology companies.
Shortly after the announcement, ELON MUSIC criticized the company and claimed that it did not have $ 100 billion in funding as it claimed. But Microsoft (Nasdaq: MSFT) CEO Satya Nadella quickly counteracted and announced Microsoft’s commitment to invest $ 80 billion in Stargate on top of the money already invested by the three companies leading the initiative.
The Stargate project comes at a crucial moment in the artificial intelligence industry. The vigorous power in AI products And services over the past three years have been stressed data centers, which provide computing power and infrastructure required for the AI operations. Without expanding and building new data centers, AI development risks due to the capacity restrictions for existing plants.
The technical giants who create AI goods and services have been true of this issue and privately invested in building and expanding pure energy-driven data centers. But now the government is being involved. Against End of Bidens AdministrationEfforts began to rent federal land for pure energy-driven AI data centers. Although Trump abolished almost all the executive orders of the bid when he took office, his administration continues to plan to expand the data center infrastructure and pure energy in America.
LinkedIn is accused of abusing private messages to educate AI
LinkedIn Faces A lawsuit in the United States and claims the platform used privately User messages to train their AI models Without accurate consent. The lawsuit LinkedIn shared this information with third parties and then updated its privacy policy because it seems that such methods were always allowed.
LinkedIn has denied these accusations and called claims baseless. The mood, however, illuminates one broader concern with generative AI: Data security and openness. Many users unconsciously grant AI platforms access to their data through conditions. Although a user consciously provides the AI platform access and approval to use their data, it is still unclear how the platform uses that information and whether it is shared with third parties. These problems may arise but are not clearly dealt with in the conditions that the AI platform has with its end users.
When handling sensitive information, this poses significant risks. For example, it can inadvertently lead to information shown in future outputs. This is just one example, but it is one of the reasons why companies warn – and sometimes direct ban – their employees from using generative AI or enter sensitive information in these systems.
Although it is unclear if LinkedIn is guilty of the charges, the case acts as a reminder for users to be careful when interacting with generative AI tools. Without explicit guarantees for data security, users should assume that their efforts can be retained or used in ways they did not foresee.
In order for artificial intelligence (AI) to function directly within the law and thrives on growing challenges, it must integrate a corporate blockchain system that ensures data input quality and ownership – which means that it must keep data secure and at the same time guarantee the immutability of data. Check out COINGEEK’s coverage on this new technology to learn more Why Enterprise Blockchain will be the spine in AI.
Watch: Turn AI into ROI
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