OpenAI Signs Deal With Financial Times to Use Its Content for Training AI Models

The Financial Times has signed a deal with OpenAI to license its content for the development of AI models and allow ChatGPT to answer queries with summaries attributable to the newspaper, the latest media tie-up for the Microsoft-backed startup.

Financial terms of the agreement, announced on Monday, were not disclosed. It follows similar deals by OpenAI over the past few months with the Associated Press, global news publisher Axel Springer, France’s Le Monde and Spain-based Prisa Media.

The latest deal will help the startup enhance the ChatGPT chatbot with archived content from the FT and the firms will work together to develop new AI products and features for FT readers, the newspaper and OpenAI said in a statement.

The summaries generated by ChatGPT off FT content will also link back to the newspaper, according to the companies.

“We’re keen to explore the practical outcomes regarding news sources and AI through this partnership,” said FT Group CEO John Ridding.

ChatGPT, which kickstarted the GenAI boom in late 2022, can mimic human conversation and perform tasks such as creating summaries of long text, writing poems and even generating ideas for a theme party.

Some outlets are already using generative AI for their content. BuzzFeed has said it will use AI to power personality quizzes on its site, and the New York Times used ChatGPT to create a Valentine’s Day message-generator last year.

© Thomson Reuters 2024


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Nothing Phone 1 Gets ChatGPT Integration, RAM Booster, and More With Nothing OS 2.5.5 Update

Nothing Phone 1 launched with Android 12-based Nothing OS and is the first-ever smartphone model from the UK-based company. The phone was unveiled in July 2022 and since then it has received several software upgrades. Phone 1 users are now receiving the Android 14-based Nothing OS 2.5.5 update, which recently also rolled out to Nothing Phone 2 users globally. Alongside a few new features, bug fixes, and performance improvements, the Nothing OS 2.5.5 update for Nothing Phone 1 also brings ChatGPT integration. 

The stable version of Nothing OS 2.5.5 is gradually rolling out to Nothing Phone 1 users, the company announced in a community post. Users can manually check for the update on their phone by navigating to Settings > System > System Update > Download > Install. If the update does not appear yet, it should reach in the next few days. 

With the Nothing OS 2.5.5 update, the Nothing Phone 1 users get a new gesture option in the Nothing X application which allows them to start a voice conversation with ChatGPT. This works via the recently launched Nothing Ear and Nothing Ear A true wireless earphones, for now. Users will need the latest version of ChatGPT from the Play Store on their handsets for this to work. The company has assured that the ChatGPT integration feature will soon come to other Nothing audio products as well.

Nothing Phone 1 users also get a new ChatGPT widget which allows fast and easy ChatGPT access from the home screen. The update also adds a button on the screenshot and clipboard pop-up which allows users to paste content to a new ChatGPT conversation directly.

The Nothing OS 2.5.5 update for Phone 1 adds an option for the Nothing Icon Pack to be only applied to the Home Screen. This is claimed to improve App Drawer accessibility. The update also lets users scroll through pages on the Home Screen while holding app icons for reorganisation on the handset.

Nothing OS 2.5.5 update for Phone 1 also adds a customisable option for enabling or disabling the Quick Setting swipe-down page on the users’ lock screen. Users can customise this through Settings > Lock Screen and AOD > Quick Settings. This update also allows access to new customisable icon options within the status bar via Settings > Display > Status Bar. The update also introduced a RAM Booster feature which can be set from Settings > System > RAM Booster.

The company claims that the Nothing OS 2.5.5 update for Phone 1 update uses an AI-backed algorithm for “smarter lighting adjustments for auto-brightness.” It also brings reordered Quick Settings tiles for better accessibility. This update also introduces new animations for Quick Settings widgets, improves Bluetooth toggling response speed in Quick Settings, and optimised volume settings experience.

Further, the Nothing OS 2.5.5 update fixes issues regarding automatic Wi-Fi disconnection, screenshot frame display and editing, and a “lack of vibration feedback when swiping sideways to go back on the screen.” The update is also said to have resolved a problem where the earbud volume did not synchronise with the phone’s volume and an issue where audio would not switch to a connected watch during calls while also paired with an earbud.


Will the Nothing Phone 2 serve as the successor to the Phone 1, or will the two co-exist? We discuss the company’s recently launched handset and more on the latest episode of Orbital, the Gadgets 360 podcast. Orbital is available on Spotify, Gaana, JioSaavn, Google Podcasts, Apple Podcasts, Amazon Music and wherever you get your podcasts.
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Nothing Phone 2 Receives NothingOS 2.5.5 Update With ChatGPT Integration, UltraXDR and More

Nothing Phone 2 was launched in July 2023 with Android 13-based Nothing OS 2.0 out-of-the-box. The phone has since been updated to Android 14 and is now receiving the new NothingOS 2.5.5 update. This update introduces ChatGPT integration alongside bug fixes and other improvements. Meanwhile, Nothing unveiled the Nothing Ear and Nothing Ear A on April 18, the latest earphones from the brand. These earphones also come with ChatGPT integration that can be accessed through a pinch-to-speak action.

In a community post, Nothing announced that with the NothingOS 2.5.5 update, Nothing Phone 2 users can avail of the ChatGPT integration feature. Users will need the latest ChatGPT version from the Play Store installed on their handsets for this to work. The integration adds a new gesture option in the Nothing X app to start a voice conversation with ChatGPT for Nothing Ear and Nothing Ear A. The feature is promised to come to other Nothing audio products soon.

The NothingOS 2.5.5 update also adds new ChatGPT widgets to help launch ChatGPT in different modes from the Phone 2 home screen. A new button appears on the screenshot and clipboard pop-up with this update which allows users to directly paste the content to a new conversation in ChatGPT.

Nothing Phone 2 also gets camera improvements with the NothingOS 2.5.5 update. The phone camera now supports Ultra XDR, a mode which can be activated through Camera settings on the handset. The Photo and Portrait Modes in the Camera app also get an XDR switch.

The latest update also adds a RAM booster feature which can be accessed via Settings > System > RAM Booster. With the NothingOS 2.5.5 update, the Quick Settings feature on Phone 2 gets a Ring Mode option that allows users to choose quickly between different sound settings. Users also get new Recorder and Battery widgets and a Glyph Interface Debug Mode in the developer options which is meant to allow app developers to have better Glyph UI control.

The NothingOS 2.5.5 update for Phone 2 also offers improved system stability, NFC functionality, and Wi-Fi connection stability. It is also claimed to have fixed certain bugs and flickering issues related to the Quick Settings app launches. Details of these fixes can be found listed in the community post. To install the update, go to the device SettingsSystem > System Update > Download > Install on your Nothing Phone 2.


Will the Nothing Phone 2 serve as the successor to the Phone 1, or will the two co-exist? We discuss the company’s recently launched handset and more on the latest episode of Orbital, the Gadgets 360 podcast. Orbital is available on Spotify, Gaana, JioSaavn, Google Podcasts, Apple Podcasts, Amazon Music and wherever you get your podcasts.
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OpenAI CEO Sam Altman Pitches ChatGPT Enterprise to Large Firms, Including Some Microsoft Customers

OpenAI Chief Executive Sam Altman has hosted hundreds of Fortune 500 company executives in San Francisco, New York and London this month where he and other OpenAI executives pitched AI services for corporate use, going head-to-head in some cases with financial backer Microsoft, attendees told Reuters.

The roadshow-like events illustrate how the company credited with sparking the explosion of generative artificial intelligence with its consumer offering, is looking to grow new sources of revenue from corporates all over the world – some of it potentially on the home turf of its biggest partner.

The three meetings with senior corporate executives – two in the US last week and one in London on Monday – have not been reported previously.

Altman directly addressed more than 100 executives in each city at the events, according to attendees who spoke on the condition of anonymity.

At each event, Altman and chief operating officer Brad Lightcap offered product demonstrations, including ChatGPT Enterprise, the enterprise grade of its famous chatbot that generates text from simple prompts, software to connect customer applications to its AI services known as APIs, and its new text-to-video models.

OpenAI has promised that ChatGPT Enterprise customers’ data will not be used to train its models. Talking to potential customers from industries including finance, healthcare and energy, OpenAI executives highlighted a range of applications, such as call-center management and translation. They noted the consumer version of its chatbot is already in use by more than 92 percent of Fortune 500 companies.

Microsoft, the largest investor in OpenAI, offers access to OpenAI’s technology through its Azure cloud and by selling Microsoft 365 Copilot, a productivity tool powered by OpenAI’s models targeting enterprises.

Some executives in the audience at the events asked why they should pay for ChatGPT Enterprise if they are already customers of Microsoft, attendees said.

Altman and Lightcap responded that paying for the enterprise service allowed them to work with the OpenAI team directly, have access to the latest models and more opportunity to get customized AI products, according to attendees present.

OpenAI and Microsoft declined to comment.

OpenAI, last valued at $86 billion (roughly Rs. 7,18,998 crore) in a secondary sale, has been trying to diversify its revenue stream since its chatbot ChatGPT quickly gained popularity in late 2022. It is on track to achieve the $1 billion (roughly Rs. 8,359 crore) revenue target it projected for 2024, sources have said.

While trying to build out new products of consumers such as the marketplace ChatGPT stores, the company expects selling to enterprises to become a more meaningful part of its revenue. Lightcap told Bloomberg last week more than 600,000 people signed up to use ChatGPT Enterprise and Team, up from around 150,000 in January.

Lightcap, the main OpenAI executive focused on enterprise adoption, has also spent time in Hollywood talking to studio executives to promote the company’s Sora video creation tool. That technology, which can create and refine videos based on a user’s text description, has caused both excitement and anxiety within the creative industry.

Two major Hollywood studios told Reuters they are seeking early access to begin exploring applications, though there are some concerns about the source of the video used to train Sora, the reliability of the output and its ability to protect copyrighted works.

Fox and News Corp also hosted Altman at a leadership retreat last October, where he took part in a question-and-answer session, according to one source with knowledge of the session.

© Thomson Reuters 2024


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OpenAI Brings GPT-4 Turbo to Paid ChatGPT Accounts, Claims ‘Improved Capabilities in Writing’

OpenAI upgraded its artificial intelligence (AI) model GPT-4 Turbo with new capabilities on Friday, especially in the areas of mathematics, reasoning, and writing abilities. The upgraded version of GPT-4 Turbo is now being rolled out to the paid users of ChatGPT Plus, Team, Enterprise, and the API. The new AI model also comes with an updated data library and now touts a knowledge cut-off of April 2024. Notably, the update comes just days after the AI firm announced its new GPT-4 Turbo with Vision model in API.

The announcement was made by the official X (formerly known as Twitter) account of OpenAI via a post, where it stated, “Our new GPT-4 Turbo is now available to paid ChatGPT users. We’ve improved capabilities in writing, math, logical reasoning, and coding.” One of the areas where users will be able to see a direct improvement is its conversational language. The company said when writing with ChatGPT, responses will be more direct and less verbose.

This was a complaint we had with ChatGPT when we compared it with Google’s Gemini. We found the latter to be more conversational and generating content such as a letter, an email, or a message felt more natural. In contrast, the responses of ChatGPT (we tested it on GPT-3.5, which is available publicly) felt overly formal and bland. It appears this is now being fixed with the recent update.

OpenAI also highlighted that the new model will offer better math, reasoning, and coding capabilities, however, it did not share any examples of the improvements. Going by the benchmark scores posted by the firm show significant improvement in the MATH and GPQA (Graduate-Level Google-Proof Q&A) benchmarks. HumanEval and MMLU (Massive Multitask Language Understanding) benchmarks, which correspond with coding and natural language processing abilities, did not show any major improvements.

Users will also see an updated knowledge base in the new GPT-4 Turbo model. The company has increased the data cut-off to April 9, 2024, whereas the older Turbo model was updated only till April 2023. Currently, the new AI model is being rolled out to all the paid users of ChatGPT.


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Microsoft, OpenAI Plan $100 Billion Data Centre With ‘Stargate’ AI Supercomputer: Report

Microsoft and OpenAI are working on plans for a data center project that could cost as much as $100 billion and include an artificial intelligence supercomputer called “Stargate” set to launch in 2028, The Information reported on Friday.

OpenAI did not immediately respond to Reuters’ requests for comment.

Rapid adoption of generative artificial intelligence technology has led to sky-rocketing demand for AI data centers capable of handling more advanced tasks than traditional data centers.

The Information reported that Microsoft would likely finance the project, which is expected to be 100 times more costly than some of the biggest existing data centers, citing people involved in private conversations about the proposal.

The proposed U.S.-based supercomputer would be the biggest in a series the companies are looking to build over the next six years, the report added.

The Information attributed the tentative cost of $100 billion to a person who spoke to Altman about it and a person who has viewed some of Microsoft’s initial cost estimates. It did not identify those sources.

Altman and Microsoft have spread the supercomputers across five phases, with Stargate as the fifth phase. Microsoft is working on a smaller, fourth-phase supercomputer for OpenAI to be launched around 2026, according to the report.

Microsoft and OpenAI are in the middle of the third phase of the five-phase plan, with a significant portion of the cost for the next two phases involving acquiring the needed AI chips, the report said.

AI chips are often sold at high prices. Chip company Nvidia CEO Jensen Huang told CNBC earlier in March that the latest “Blackwell” B200 artificial intelligence chip will be priced between $30,000 and $40,000.

Microsoft had also announced a duo of custom-designed computing chips in November last year.

The report said the new project would be designed to work with chips from different suppliers.

“We are always planning for the next generation of infrastructure innovations needed to continue pushing the frontier of AI capability,” a Microsoft spokesperson said in an emailed statement to Reuters. The spokesperson did not comment directly on the report about the planned launch of the Stargate supercomputer.

Expenses for the plan could exceed $115 billion, more than triple Microsoft’s expenditure last year on capital spending for servers, buildings and other equipment, the report stated.

© Thomson Reuters 2024


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MLCommons Releases New AI Benchmark to Test Speed of Responses to User Queries

Artificial intelligence benchmarking group MLCommons on Wednesday released a fresh set of tests and results that rate the speed at which top-of-the-line hardware can run AI applications and respond to users.

The two new benchmarks added by MLCommons measure the speed at which the AI chips and systems can generate responses from the powerful AI models packed with data. The results roughly demonstrate to how quickly an AI application such as ChatGPT can deliver a response to a user query.

One of the new benchmarks added the capability to measure the speediness of a question-and-answer scenario for large language models. Called Llama 2, it includes 70 billion parameters and was developed by Meta Platforms.

MLCommons officials also added a second text-to-image generator to the suite of benchmarking tools, called MLPerf, based on Stability AI’s Stable Diffusion XL model.

Servers powered by Nvidia’s H100 chips built by the likes of Alphabet’s Google, Supermicro and Nvidia itself handily won both new benchmarks on raw performance. Several server builders submitted designs based on the company’s less powerful L40S chip.

Server builder Krai submitted a design for the image generation benchmark with a Qualcomm AI chip that draws significant less power than Nvidia’s cutting edge processors.

Intel also submitted a design based on its Gaudi2 accelerator chips. The company described the results as “solid.”

Raw performance is not the only measure that is critical when deploying AI applications. Advanced AI chips suck up enormous amounts of energy and one of the most significant challenges for AI companies is deploying chip that deliver an optimal amount of performance for a minimal amount of energy.

MLCommons has a separate benchmark category for measuring power consumption.

© Thomson Reuters 2024


(This story has not been edited by NDTV staff and is auto-generated from a syndicated feed.)

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OpenAI’s Video-Making Service Under Data Privacy Scrutiny in EU

OpenAI faces further scrutiny from Italy’s data protection watchdog over concerns that the firm’s new artificial intelligence video creation system would process people’s personal data.

It’s the second time OpenAI has come to the attention of the Italian regulator, which is already investigating possible data violations by the tech company’s ChatGPT tool. 

OpenAI is now facing new pressure from the Italian regulator, which said in a statement on Friday that it’s given the firm 20 days to provide information about its new AI service, called Sora, which can quickly create videos up to a minute in length. 

This is necessary “given the possible implications that the Sora service could have on the processing of users’ personal data in the European Union and in Italy in particular,” the Italian regulator said, adding that it’s also asked whether “the new AI model is already available to the public and whether it is or will be offered to users in the European Union, particularly in Italy.”

San Francisco-based OpenAI is backed by Microsoft, which along with Alphabet’s Google has been using artificial intelligence to enhance their products. 

Last month OpenAI launched an online store where people can share customized versions of the company’s popular ChatGPT chatbot, after initially delaying the rollout because of leadership upheaval last year. The new store, which rolled out Wednesday to paid ChatGPT users, will corral the chatbots that users create for a variety of tasks, for example, a version of ChatGPT that can teach math to a child or come up with colourful cocktail recipes. The product, called the GPT Store, will include chatbots that users have chosen to share publicly. It will eventually introduce ways for people to make money from their creations — much as they might through the app stores of Apple or Alphabet’s Google.

Similar to those app stores, OpenAI’s GPT Store will let users see the most popular and trending chatbots on a leaderboard and search for them by category. In a blog post announcing the rollout, OpenAI said that people have made 3 million custom chatbots thus far, though it was not clear how many were available through its store at launch.

The store’s launch comes as OpenAI works to build out its ecosystem of services and find new sources of revenue. On Wednesday, OpenAI also announced a new paid ChatGPT tier for companies with smaller teams that starts at $25 (roughly Rs. 2,100) a month per user. OpenAI first launched a corporate version of ChatGPT with added features and privacy safeguards in August.

© 2024 Bloomberg LP


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Exploring Integration of Neurological AI with Technologies Like Web3, QX Lab AI Co-Founder Says

QX Lab AI is attempting to take on offerings like Gemini and ChatGPT from tech giants like Google and OpenAI by integrating new functionality into its own AI service. Created by three Indian founders, this AI startup recently unveiled its generative AI platform named ‘Ask Qx’. What differentiates this platform from its competitors is that Ask QX is 70 percent ‘neurologically trained,’ according to the company. The UAE-based company has now revealed that it is planning to add support for Web3 technology to Ask Qx.

Earlier this month, QX Lab AI launched Ask QX, a service capable of generating AI-based responses to prompts in over 100 languages. In the coming months, the use of this AI with crypto and metaverse are subjects that the company is working on adding support for.

“We are investigating potential synergies that could offer enhanced security, privacy, and decentralised control, which are foundational to Web3. Integration of our neurologically trained AI algorithm with Web3 is currently in the exploratory phase,” said Tathagat Prakash, Co-Founder of QX Lab AI and chief scientist behind Ask Qx, in conversation with Gadgets360.

Presently, Web3 protocols are at a risk of being breached by malicious users. Web3 players working on projects related to metaverse and crypto are laying special focus on ensuring that their projects are protected with multiple layers of security to protect their users and investors and prevent them from exiting the ecosystem, fearing losses.

Ask QX, as per its chief scientist, is equipped with a multi-layer security strategy to make its general use, as well as its integration with Web3, as secure as possible.

“To protect against sophisticated cyber threats, we have state-of-the-art encryption, continuous security audits, and the use of advanced anomaly detection systems,” said Prakash. These systems in place are trained to pre-emptively identify and neutralise potential breaches.

In recent times, several companies have explored the potential of merging metaverse and AI technologies to make the former more immersive and responsive to the end users. AI can help design and personalise digital environments, enhance virtual collaboration, and maintain smart contracts to finetune the metaverse technology, that is rapidly gaining prominence in the global gaming industry.

While the market cap of the AI sector is projected to reach the valuation of $738.80bn by 2030, the metaverse market is estimated to reach $1,303.4 billion in the next six years.

The increasing use of these new age technologies, however, have given rise to several environment-related concerns. The large scale of computer power that is needed to run and maintain these operations is resulting in substantially high influx of carbon emissions and other greenhouse gases.

Addressing these concerns, Prakash said that QX Labs AI is ‘pioneering’ a unique architecture designed for environmental sustainability. “We aim to significantly reduce the carbon footprint of our AI operations by optimising model efficiency, leveraging cutting-edge techniques in model compression and using energy-efficient computing,” he noted.


 

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OpenAI Implements New Watermarking Technology in AI-Generated Images by DALL-E 3

OpenAI has announced that it will add watermark to the metadata of the artificial intelligence (AI)-generated images created by DALL-E 3. The company stated that it will now use the open technical standard adopted by the Coalition for Content Provenance and Authenticity (C2PA), and add the information that the image was generated by AI, the name of the AI tool, and the name of the app used to create the image in its metadata. The move comes as Meta announced that AI firms need to adopt a common standard to help detection tools identify and label AI content on its social media platforms.

In a post, OpenAI revealed the move, as well as technical details around it. It said that images generated with ChatGPT on the Web client and API, which uses the DALL-E 3 model, will now contain a new metadata as per the C2PA standard. The same watermark process will be rolled out to the ChatGPT app by February 12. C2PA standard is a specific watermarking technology which adds a stamp on the image itself and embeds the information inside the image as well. As a result, a CR symbol can be seen on the top left of the image and a detailed version can be checked in its metadata.

Through the metadata, users can check the origins of the image, including information on the AI model and the app used to create it. In the examples shared by OpenAI, the metadata shows a content summary which says, “This image was created with an AI tool.” A separate tab for Process shows whether an API, Web client, or ChatGPT was used, in addition to showing the underlying AI model. As per the company, adding the metadata may slightly increase the size of the image, but there will be no effect on the quality.

While this makes the image more secure than just a visual marker, there are still ways to bypass it. OpenAI highlighted that many social media platforms remove the metadata from uploaded image, and taking a screenshot of the image will also remove it. Therefore, this method may not be enough to determine if an image was indeed created by DALL-E 3 or other AI models.

C2PA includes companies such as Adobe, Microsoft, BBC, Sony, Leica, Nikon, and more. It has been pushing for the adoption of this technology as a method to detect and correctly label AI-generated content. The CR symbol, created by Adobe, was also given by the same group.


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