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Category: internet – Page 84

OpenAI’s viral AI-powered chatbot, ChatGPT, can now browse the internet — in certain cases. OpenAI today launched plugins for ChatGPT, which extend the bot’s functionality by granting it access to third-party knowledge sources and databases, including the web. Available in alpha to ChatGPT users and developers on the waitlist, OpenAI says that it’ll initially prioritize a small number of developers and subscribers to its premium ChatGPT Plus plan before rolling out larger-scale and API access.

OpenAI today launched plugins for ChatGPT, which extend the bot’s functionality by granting it access to third-party knowledge sources and databases, including the web. Available in alpha to ChatGPT users and developers on the waitlist, OpenAI says that it’ll initially prioritize a small number of developers and subscribers to its premium ChatGPT Plus plan before rolling out larger-scale and API access.

Easily the most intriguing plugin is OpenAI’s first-party web-browsing plugin, which allows ChatGPT to draw data from around the web to answer the various questions posed to it. (Previously, ChatGPT’s knowledge was limited to dates, events and people prior to around September 2021.) The plugin retrieves content from the web using the Bing search API and shows any websites it visited in crafting an answer, citing its sources in ChatGPT’s responses.

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Developers can also deploy their own version of the plug-in and register it with ChatGPT, says OpenAI.

A major upgrade to ChatGPT’s functionality has given the chatbot access to live web data for the first time, expanding OpenAI’s impact exponentially.

“Users have been asking for plug-ins” to “unlock a vast range of possible use cases,” said OpenAI’s blog.

OpenAI/IE

Continue reading “Game changer AI: ChatGPT now deploys powerful plugins for web browsing” | >

A quantum computer in the next decade could crack the encryption our society relies on using Shor’s Algorithm. Head to https://brilliant.org/veritasium to start your free 30-day trial, and the first 200 people get 20% off an annual premium subscription.

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A huge thank you to those who helped us understand this complex field and ensure we told this story accurately — Dr. Lorenz Panny, Prof. Serge Fehr, Dr. Dustin Moody, Prof. Benne de Weger, Prof. Tanja Lange, PhD candidate Jelle Vos, Gorjan Alagic, and Jack Hidary.

A huge thanks to those who helped us with the math behind Shor’s algorithm — Prof. David Elkouss, Javier Pagan Lacambra, Marc Serra Peralta, and Daniel Bedialauneta Rodriguez.

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Continue reading “How Quantum Computers Break The Internet… Starting Now” | >

Microsoft’s Notion competitor has futuristic Lego-like Office documents and its AI-powered Copilot assistant.

Microsoft is now letting anyone preview Microsoft Loop, a collaborative hub offering a new way of working across Office apps and managing tasks and projects. Much like Notion, Microsoft Loop includes workspaces and pages where you can import and organize tasks, projects, and documents. But what sets the two apart is Loop’s shareable components that let you turn any page into a real-time block of content that can be pasted into Microsoft Teams, Outlook, Word on the web, and Whiteboard.

Loop components are constantly updated and editable for whoever they’re shared with.

Loop components really could be the future of Office documents.

Continue reading “You can now try Microsoft Loop, a Notion competitor with futuristic Office documents” | >

Madhumita Murgia Hi, my name is Madhumita Murgia, and I’m one of the presenters of Tech Tonic. We’re looking for some feedback from our listeners about the show. So if you have a second, please fill out our brief listener survey, which you can find at ft.com/techtonicsurvey.

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In this season of Tech Tonic, we’ve been talking about quantum computers and why some people think they’re so revolutionary. But so far we’ve mainly talked about the things quantum computers can do, or at least what they might be able to do in the future that makes them so groundbreaking: performing calculations that should take centuries in minutes, cracking the unbreakable codes of the internet, dramatically speeding up the development of new drugs and materials. But what we haven’t done yet is look at why they’re able to do these things. What’s going on inside a quantum computer that makes them so extraordinary, so completely different to any computer that’s come before.

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Amid a flurry of Google and Microsoft generative AI releases last week during SXSW, Garry Kasparov, who is a chess grandmaster, Avast Security Ambassador and Chairman of the Human Rights Foundation, told me he is less concerned about ChatGPT hacking into home appliances than he is about users being duped by bad actors.

“People still have the monopoly on evil,” he warned, standing firm on thoughts he shared with me in 2019. Widely considered one of the greatest chess players of all time, Kasparov gained mythic status in the 1990s as world champion when he beat, and then was defeated by IBM’s Deep Blue supercomputer.

Despite the rapid advancement of generative AI, chess legend Garry Kasparov, now ambassador for the security firm Avast, explains why he doesn’t fear ChatGPT creating a virus to take down the Internet, but shares Gen’s CTO concerns that text-to-video deepfakes could warp our reality.

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Artificial intelligence advancement has taken the world by storm. And it has remarkably improvised the way we use the internet.

With text-to-image translation, generative AI has proven its worth. AI-powered images have been created by services such as Dall-E and Stable Diffusion. Now, coming up is the text-to-video generation concept, which is set to be the next big craze.

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The rise of artificial general intelligence — now seen as inevitable in Silicon Valley — will bring change that is “orders of magnitude” greater than anything the world has yet seen, observers say. But are we ready?

AGI — defined as artificial intelligence with human cognitive abilities, as opposed to more narrow artificial intelligence, such as the headline-grabbing ChatGPT — could free people from menial tasks and usher in a new era of creativity.

But such a historic paradigm shift could also threaten jobs and raise insurmountable social issues, experts warn.

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In the first day after it was unveiled, GPT-4 stunned many users in early tests and a company demo with its ability to draft lawsuits, pass standardized exams and build a working website from a hand-drawn sketch.

On Tuesday, OpenAI announced the next-generation version of the artificial intelligence technology that underpins its viral chatbot tool, ChatGPT. The more powerful GPT-4 promises to blow previous iterations out of the water, potentially changing the way we use the internet to work, play and create. But it could also add to challenging questions around how AI tools can upend professions, enable students to cheat, and shift our relationship with technology.

GPT-4 is an updated version of the company’s large language model, which is trained on vast amounts of online data to generate complex responses to user prompts. It is now available via a waitlist and has already made its way into some third-party products, including Microsoft’s new AI-powered Bing search engine. Some users with early access to the tool are sharing their experiences and highlighting some of its most compelling use cases.

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A new paper published in the Journal of Medical Internet Research describes how generative models such as DALL-E 2, a novel deep learning model for text-to-image generation, could represent a promising future tool for image generation, augmentation, and manipulation in health care. Do generative models have sufficient medical domain knowledge to provide accurate and useful results? Dr. Lisa C Adams and colleagues explore this topic in their latest viewpoint titled “What Does DALL-E 2 Know About Radiology?”

First introduced by OpenAI in April 2022, DALL-E 2 is an artificial intelligence (AI) tool that has gained popularity for generating novel photorealistic images or artwork based on textual input. DALL-E 2’s generative capabilities are powerful, as it has been trained on billions of existing text-image pairs off the internet.

To understand whether these capabilities can be transferred to the medical domain to create or augment data, researchers from Germany and the United States examined DALL-E 2’s radiological knowledge in creating and manipulating X-ray, computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound images.

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