Openai begins deep research: AI agents for advanced research
This week, Openai launched a new Artificiai Intelligence (AI) agent called Deep Research. Like the first AI agent called an operator, Deep Research is an AI agent that can autonomously perform complex tasks from end to end based on an initial set of user instructions. Unlike operators, however, Deep Research is designed for a wide range of detailed workflows. Therefore, he is branded as a researcher and has the same abilities as people who conduct advanced research in a variety of fields. AI agents can take 5-30 minutes to return results depending on the complexity of the task. This is similar to the time it takes for a human to complete a complex study.
“Deep research is built for people who perform intensive knowledge work in areas such as finance, science, policy, engineering, and requires thorough, accurate and reliable research. Openai said In the announcement, Openai equally serves discerning shoppers looking for ultra-personal recommendations on purchasing that usually require careful research into cars, appliances, furniture and more. It may be.
In the Openai demo, Deep Research was featured by conducting a comprehensive market research of the product and identifying the best skis for users based on specifications.
Deep Research is exclusively available to GPT Pro users who pay $200 a month for Openai’s premium service. However, Openai says that both operators and deep searches will be available to all levels of all Openai subscribers in the future.
The release of Deep Research is seen as a direct response to the fuss over Deep Seek’s entry into the market last week. When Deepseek made the headline, it raised doubts about whether US-based AI companies like Openai could justify their valuation of the sky. Openai’s move is like a counterattack against negative emotions in how to shift conversations positively and remind the world why it’s a dominant force in AI in search of Deep Seek Cast cast over Us Tech Companies I think so.
Deepseek’s rapid rise and fall: from AI disruptors to global security threats
Last week, Deepseek swept the AI world, making headlines that coincided with Openai’s performance and allegedly spent just $6 million to develop a multi-billion-dollar Generated AI (Genai) model. Ta. The news rattles the tech industry and raises concerns about the evaluation and competitiveness of US-based AI companies.
But this week? Deepseek almost completely disappeared from the conversation. Deepseek has been banned from government equipment in South Korea, Australia and Taiwan due to national security concerns. Microsoft (NASDAQ: MSFT) is investigating whether DeepSeek uses Openai’s research and data without approval, and businesses and government agencies have been saying that user data that has entered DeepSeek has been directly attracting attention from China, and security is being achieved. I’m worried about creating risk.
All of these factors are publicly light paraded by Chinese competitors, along with questions about whether they could truly create a model of the amount and amount of computing infrastructure that DeepSeek said they used. We’ve created the perfect storm to wipe down.
In addition, the AI research team at UC Berkeley was able to replicate Deepseek’s core functionality for just $30. This gives Deepseek’s claim to achieve a low-cost AI breakthrough, but Openai CEO Sam Altman made a statement that being a copycat is easier than being a pioneer. It will be strengthened. In particular, Openai had to spend billions building paths that companies like Deepseek could now easily follow.
Anyway, I don’t think I’ll hear more about Deepseek in the US. The US has a vested interest in ensuring that US-based AI companies continue to maintain dominant power, and is likely to play a role in restraining foreign inventions like Deepseek. I think so. Whether through direct intervention, trade restrictions or negative PR, we hope that will continue. It is clear that foreign AI companies, particularly companies from China, show important obstacles to global expansion set by the US
Google removes AI weapon ban
Google (NASDAQ: GOOGL) quietly revised its AI ethics policy and removed key clauses that previously prohibited pursuing AI applications for weapons and surveillance. This change represents a major change in Google’s attitude towards AI development.
Shortly after the update, Google released a blog post justifying its decision. “Since the first publication of AI principles in 2018, this technology has evolved rapidly. AI has moved from a niche research topic in the lab to a wider range of technologies: mobile phones and the Internet itself. As part of the announcement addressing AI ethics, it states:
Some Google employees are probably joining the company due to their original commitment to ethical AI, and perhaps they are disillusioned with this change from a business perspective, but this move is logical It’s achieved.
The defense market is large, and government contracts are usually advantageous. The AI sector is notoriously highly expensive as it spends billions of dollars on infrastructure, training and operational costs, but many of them have not yet made a profit on big investments. When expanding into the defense sector, AI companies offer a financially stable customer base with deep pockets and a clear incentive to invest and use in AI systems.
Beyond financial incentives there is another reality. If Google doesn’t build these AI-driven defense systems, one of its competitors will. The AI industry is clearly competitive, and each competitor’s products are only superior or even worse, by very narrow margins. If a company chooses not to explore key revenue streams like national defense, it risks losing market share to one of its competitors willing to go that route.
For AI to work properly within the law and thrive in the face of growing challenges, it is necessary to integrate enterprise blockchain systems that guarantee the quality and ownership of data input. of data. Check out Coingeek’s report on this new technology to learn more about why enterprise blockchain is the backbone of AI.
Watch: Shows the possibility of blockchain integration with AI
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