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Artificial intelligence has already begun to change the way we conduct research, and now OpenAI has just released the latest update to ChatGPT, which it says will open up “deep research” to almost everyone.
The new deep research tool is rolling out to ChatGPT Pro subscribers today, just days after the launch of the 03-mini reasoning model.
“Today, we’re launching Deep Research in ChatGPT, a new agent capability that can conduct multi-step research on complex tasks on the internet,” a blog post reads, promising that the model can “do in just tens of minutes what would take a human hours to do.OpenAI  ChatGPT’s powerful “deep research” upgrade gets open source copies in just 24 hours
I just tested ChatGPT’s new o3-mini model, rating its problem-solving and reasoning abilities with 7 prompts — and the results blew my mind
This new agent “can work independently for you,” “finding, analyzing, and synthesizing hundreds of online sources to create research analyst-level synthesis reports” based on a series of prompts.
It’s powered by the upcoming ChatGPT o3 model and is aimed at finance, science, policy, and engineering research, but OpenAI also says it can also be used to make purchasing decisions and help with detailed product research (which could be another warning for Google).
Using the new tool is simple, too. Users simply select “Drill down” in the ChatGPT message editor and enter a query, with the option to attach additional context via files and spreadsheets.
Doing so will see the cited articles in the sidebar, where you can also track your progress. OpenAI says it can take anywhere from five minutes to half an hour to complete a deep dive task.
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OpenAI has expanded the functionality of ChatGPT in WhatsApp to include uploading pictures, sending voice messages, and linking existing ChatGPT accounts directly through the messaging platform.
These updates have been rolled out to all users globally, ensuring that individuals around the world can benefit from the enhanced functionality. Users can now upload pictures within WhatsApp conversations using ChatGPT, similar to the functionality available in the standalone ChatGPT app. Users can now use AI to analyze and respond to visual content. ChatGPT is now on WhatsApp — here’s how to message the AI ​​chatbot for free
You can now call or text 1-800-ChatGPT for free — here’s everything you need to knowIn addition, the integration of voice messages allows users to send voice notes to ChatGPT, which theAI  ​​will process and respond to in text form. While not exactly similar to ChatGPT Advanced Voice, this feature does provide a more natural interaction with ChatGPT within the platform, catering to a wider range of user preferences.
Account linking for expanded utilityIn addition, users now also have the option to link their existing ChatGPT account (whether Free, Plus, or Pro) to WhatsApp. This integration is designed to provide a more seamless experience, allowing users to manage their interactions and usage more effectively. By linking their accounts, users can enjoy extended usage and personalization, thereby enhancing the overall usefulness of ChatGPT in WhatsApp.
How to Use the New Features To use these new features, users should ensure that their WhatsApp application is updated to the latest version. Once updated, interacting with ChatGPT is very simple. Start by saving the number 1-800-CHATGPT (1-800-242-8478) to your phone contacts, then open WhatsApp and chat with your saved contacts to start a conversation. In the chat, use the attachment icon to select an image and send it directly to ChatGPT. To voice chat with ChatGPT, press and hold the microphone icon to record and send a voice message. ChatGPT will process these voice notes and reply in text.
If you want to get the best response, follow the prompts in the chat to link your ChatGPT account. You need to enable the extended usage and personalization features.
Benefits of the IntegrationThere are several benefits to integrating ChatGPT into WhatsApp. Accessing the AI  ​​assistant directly within the platform is much more convenient as it eliminates the need to switch between apps.

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About two weeks ago, Wall Street panicked when Chinese startup DeepSeek released an AI system that was far more effective than its American rivals.Investors, who have poured trillions of dollars into tech stocks over the past few years, wondered whether the tens of billions of dollars tech companies have spent on new data centers suddenly looked overextended.
But the biggest tech companies made clear in recent earnings reports that they don’t think they’re overextended in building new data centers.
Amazon hinted Thursday that its capital spending, which includes data center construction and other projects like warehouses, could exceed $100 billion this year. Microsoft said its spending could exceed $80 billion. Alphabet said it would spend $75 billion, while Meta reiterated plans for $65 billion in capital expenditures.
Combined, they could spend about $100 billion more on these projects than they did last year.
Executives urged patience. The problem, they said, is that customer demand for artificial intelligence outstrips the company’s capabilities. The only way to meet demand is to develop as many products as quickly as possible.
“Every time I see someone else doing something better, I say, ‘Ah, we should do that,’ ” Meta CEO Mark Zuckerberg told employees at a companywide meeting last week, according to a recording obtained by The New York Times. Competition is good, but we need to make sure we can win.”
Here are some keys to understanding this consumer-driven moment in the tech industry:
Tech companies need more data centers than they have now.
Many companies say they are constrained by the availability of chips, land and electricity to build data centers, so they are racing to open more. Microsoft, Alphabet and Amazon have all said their cloud sales could be higher if there was enough capacity. Cloud services are the quintessential way to deliver artificial intelligence to customers.
Alphabet Chief Financial Officer Anat Ashkenazi told investors that Alphabet is seeing “demand that exceeds our available capacity.” “So we’re going to work on that and make sure we can provide more capacity.”
Microsoft has been saying it has been constrained for some time, and previously told investors that pressure would ease early this year. But last week, when the company reported its latest earnings, executives told investors it might take until the summer to have enough capacity to meet all the demand. Shares of the company fell about 5% in after-hours trading after the report was released.
Greater efficiency, they say, will expand the use of and demand for AI
While many people think of data centers as expensive, power-hungry places to develop advanced AI systems, they are also where AI is deployed. Those are two different steps: training the model that underpins ChatGPT, and asking ChatGPT for recipe suggestions.
The industry calls deploying AI “inference”; a growing number of tech companies say their businesses are booming in this area.
Microsoft CEO Satya Nadella told investors last week that as costs fall, “AI I will become more pervasive.”
Amazon CEO Andy Jassy told investors Thursday that while a world where every application includes AI may be hard to imagine, “it’s a world we’ve been thinking about.” At the heart of that vision, he said, is inference.
He believes that lowering the cost of inference will follow the pattern of previous technology trends: As systems become cheaper to deploy, customers will “get excited about other things they can build that they previously thought were too expensive, and they usually end up spending more money on.”
These companies say they have to think long-term.
Cloud providers are used to giving customers the illusion of endless supply, which means they have to juggle having enough data centers online to play the video you want or answer your chatbot query. But they also can’t build too much in advance, which would tie up billions of dollars that could be deployed elsewhere. Balancing the two — especially when securing data center land, chips and electricity can take years — is a big challenge for these companies.
Executives say they can adjust how their investments are used, between building and deploying AI  models and between serving their own core businesses and customers. Nadella said Microsoft’s infrastructure is “very flexible.” Ashkenazy said Google is flexible, too. For example, it can “repurpose capacity” to serve Google Search instead of cloud customers.
Zuckerberg said Meta was working on DeepSeek and how it could improve efficiency, but that investing heavily in data centers would be a strategic advantage against smaller, more nimble rivals.
“We serve over a billion people — that’s a lot of people, so more and more machines are going to be used to run inference,” he told employees.
Whatever the reason, cutting into profits — even the huge profits of tech giants — is unlikely to excite investors.

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