Al -Hirah has just made Amnesty International’s research cheap – what this industry means

Al -Hirah has just made Amnesty International’s research cheap – what this industry means

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Confusion The current situation in the artificial intelligence market was broken today by launching it Deep searchCreate comprehensive research reports tool in minutes and open AI’s advanced capabilities for users in a small portion of the costs of typical institutions.

“Thank you for the source of the source! “We will continue to make this fastest and cheape After x. “Knowledge must be available globally and useful. Don’t remain behind the outrageous subscription plans that benefit companies, and not in the interest of humanity!”

Deep research re -defining the prices of artificial intelligence – can the institution survive?

The launch reveals a painful truth in the pricing of artificial intelligence: the subscriptions of institutions may be expensive. while man and Openai Thousands per month receive their services, Perplexity provides five free inquiries per day to all users. Supporting subscribers pay $ 20 per month for 500 inquiries per day and faster processing – a price point that can force the larger artificial intelligence companies to explain the reason for the cost of their services to 100 times more.

Companies have increased significantly from artificial intelligence investments, with the AI’s spending It is expected to rise 5.7 % in 2025, although the total information technology budget increases less than 2 %. Some companies plan to increase the spending of artificial intelligence by 10 % or more, with an average increase of $ 3.4 million for artificial intelligence initiatives. These investments are now doubtful that confusion provides similar potentials at consumer prices.

In a typical query, the deep search tool in Perplexity performs 8 searches and consults 42 sources to create a 1300 -word report in less than 3 minutes. (Credit: confusion)

How deep research excels in the confusion of Google and Openai

Deep Research technical achievements indicate that expensive artificial intelligence services may be exaggerated rather than superiority. The system recorded a 93.9 % accuracy on the Simpleqa standard and reached 20.5 % in the last humanity exam, outperforming Geographic thinking from Google and other leading models.

Deep search in Openai still performs 26.6 % in the same exam, but Openai receives $ 200 for this service. Perplexity’s ability to provide a performance level at consumer prices raises important prices about the price of pricing in the artificial intelligence industry.

“Deep research on confusion completes most of the tasks in less than 3 minutes,” the company announced, highlighting its ability to conduct dozens of searches and analyze hundreds of sources at the same time. The tool combines the search on the web, coding capabilities and thinking functions to improve research repeatedly – expert human researchers simulate but quickly.

Deep search for a 93.9 % resolution on the Simpleqa standard, which is much higher than the competing models than Openai, Google and Noteropic. (Credit: confusion)

Why is artificial intelligence confused about barriers to advanced technology

The effects of beyond prices. Enterprise AI created a digital gap between the well -funded companies and everyone else. Small companies, researchers and professionals who were unable to buy thousands of dollars have been closed effectively from the advanced artificial intelligence capabilities.

A confusion changes this account. The tool deals with complex tasks, from financial analysis and market research to technical documents and health care visions. Users can export results as PDFS or share them through the Perplexity platform, which may replace expensive research subscriptions and specialized tools.

The company plans to expand deep research to IOSand AndroidAnd Mac platforms, which can accelerate adoption among users who previously seen artificial intelligence tools as far -fetched. This broad access may be more valuable than any technical penetration – finally putting AI’s capabilities in the hands of users who need them more.

For technical decision makers, this transformation requires attention. Companies that pay the prices of premiums for artificial intelligence services must be studied whether these investments provide a value that exceeds what is confused now in a small part of the cost. The answer may be reconfigured by how organizations are close to spending artificial intelligence in 2025 and beyond.

While Perplexity is scrambling to justify their distinguished prices, thousands of users are already testing deep research capabilities. Their rule may matter more than any criterion: in the new reality of AI, the best technique is not the most expensive – it’s the person that people can actually use.

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