Tag: chatgpt

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.

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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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Nothing Phone 2, Phone 1 Users Can Access ChatGPT Voice Shortcut From The Home Screen

ChatGPT, the AI chatbot by OpenAI, was released for Android and iOS last year. Now, Nothing Phone users can get hands-free access to AI assistance with ChatGPT. Nothing Phone 1 and Phone 2 users can now quickly access ChatGPT voice commands directly from their home screen and Quick Setting panel with a new shortcut. The voice assistant works similarly to Google Assistant and Apple’s Siri.

Nothing CEO Carl Pei announced via a video post on X (formerly known as Twitter) that the Nothing Phone 1 and Phone 2 have received ChatGPT’s Quick Settings shortcut. With this, users of Nothing handsets can access ChatGPT’s voice Assistant through its new Quick Settings option.

As explained in the video post, Nothing OS users have to install the official ChatGPT android app from the Google Play Store and use the voice chat feature at least once within the app to get past the setup. Then users can add the ChatGPT shortcut in both the Quick Settings panel and Quick Settings widget. Tapping on this shortcut icon will run the ChatGPT-powered voice assistant.

With the latest development, ChatGPT will function like an assistant on Android devices like Google’s Assistant and Apple’s Siri.

Nothing currently has the Nothing Phone 1 and Nothing Phone 2 in its smartphone portfolio. The Nothing Phone 1 was launched in July 2022 with a starting price tag of Rs. 32,999 for the 8GB RAM + 128GB storage variant. Meanwhile, the Nothing Phone 2 debuted in July last year with an initial price tag of Rs. 44,999 for the base 8GB RAM + 128GB storage configuration. The Phone 2 runs on the Snapdragon 8+ Gen 1 SoC and features a revised Glyph Interface with LED lighting.

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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Binance Co-Founder Advises Caution to Crypto Investors, Notifies on Rising Listing Scams



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AI Investments Help Microsoft Reach $3 Trillion Market Value, Second to Apple

Microsoft’s stock market value crossed the $3 trillion (roughly Rs. 2,49,35,925 crore) milestone for the first time on Wednesday, retaining its place as the world’s second most valuable company, just behind Apple.

Microsoft and Apple shares have been vying for the top spot as the most capitalized stock on Wall Street since the start of the year, with the iPhone maker briefly losing its crown to the software giant earlier in January.

Shares of Microsoft hit a record high of $405.63, up 1.7 percent, enabling it to breach the $3 trillion market capitalization level. But it later closed at $402.56, valuing Microsoft at $2.99 trillion, just below the threshold price of $403.65 that would have kept it above $3 trillion.

Apple’s shares pared earlier gains and closed down 0.35 percent at $194.50, giving it a market value of $3 trillion, according to LSEG data.

Backed by its investment in ChatGPT maker OpenAI, Microsoft is widely seen as a frontrunner in the race for market dominance in the rollout of generative artificial intelligence (AI) among other tech heavyweights, including Google owner Alphabet, Amazon.com, Oracle, and Facebook owner Meta Platforms.

Using OpenAI’s technology, Microsoft has rolled out newer versions of its flagship productivity software products as well as its Bing search engine, which is expected to better compete with Google’s dominant search offering.

Apple, on the other hand, is facing slowing demand for its iPhones, particularly in China, where the company is offering customers rare discounts to boost sales amid stiff competition from homegrown rivals such as Huawei Technologies.

“I think it’s AI optimism for Microsoft,” said Stifel analyst Brad Reback, adding that Apple doesn’t seem to have the same “clear AI story” coupled with concerns about iPhone sales growth rates and penetration.

The 54 analysts covering Microsoft’s stock have a median price target of $425, up from $415 a month ago, and their average recommendation is “buy”, according to LSEG data.

Buoyed by AI optimism, Microsoft shares gained nearly 57 percent in 2023 and are up 7 percent this year. Apple’s stock rose by 48 percent last year and is up about 1 percent year-to-date.

Wall Street’s run-up to record highs will be put to the test in the coming weeks as megacap US technology-related companies begin reporting results.

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OpenAI Launches GPT Store With Access to Custom Chatbots for Paying Subscribers

OpenAI has 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 colorful 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 Inc. or Alphabet Inc.’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 a month per user. OpenAI first launched a corporate version of ChatGPT with added features and privacy safeguards in August.

People who pay for ChatGPT access — including enterprise customers and ChatGPT Plus subscribers — are eligible to use or make custom GPTs. Initially users won’t be able to profit off their chatbots, OpenAI said. But within the first three months of the year the company will share details on how people can make money from them. The company said in its blog post that people in the US will be paid “based on user engagement” with their chatbots.

OpenAI originally said it planned to introduce the store in late November, but delayed the rollout to this year, citing interruptions caused by the ousting and reinstatement of Chief Executive Officer Sam Altman in November.

The startup will feature new GPTs each week. At the time of its launch, the chatbots it highlighted included one from the company Canva that helps people design logos, flyers and other media, and another that recommends recreational hiking trails.

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ChatGPT Maker OpenAI Says It’s Talking With Dozens of Publishers to License Content Amid NYT Lawsuit

OpenAI said it’s talking to dozens of publishers about striking deals to license their articles, a broader effort than was previously known as the startup looks for content to train its artificial intelligence models.

“We are in the middle of many negotiations and discussions with many publishers. They are active. They are very positive. They’re progressing well,” Tom Rubin, OpenAI’s chief of intellectual property and content, told Bloomberg News. “You’ve seen deals announced, and there will be more in the future.”

OpenAI recently inked a multiyear licensing deal with Politico’s parent company Axel Springer SE for tens of millions of dollars, a person familiar with the matter previously told Bloomberg. In July, OpenAI announced an agreement with The Associated Press for an undisclosed amount. These deals are key to OpenAI’s future as it’s balancing the need for updated, accurate data to build its models with growing scrutiny about where that data is sourced from.

But last week, one of the companies it had been in talks with, The New York Times sued OpenAI and Microsoft for using the publication’s articles without permission.

The suit poses an existential challenge to OpenAI’s business. If the Times wins the case, OpenAI may not only owe billions of dollars, but could also be forced to destroy any of its training data that includes work from the Times, a costly and complicated task. More immediately, however, the lawsuit complicates OpenAI’s deal-making efforts with the media industry.

“The current situation is vastly different than the situations that the publishers faced in the past with search engines and social media,” Rubin said. “Here, the content is used for training a model. It’s not used to reproduce the content. It’s not used to replace the content.”

The Times, however, disagrees with OpenAI’s stance, arguing that ChatGPT is flat out copying its journalists’ work without paying for it. In its lawsuit, the publisher showed examples in which ChatGPT spit out entire paragraphs of nearly verbatim text from The New York Times (although some have pointed out that in certain examples, it was specifically prompting ChatGPT to reproduce Times content). The publisher argues that’s proof OpenAI used New York Times data.

“If Microsoft and OpenAI want to use our work for commercial purposes, the law requires that they first obtain our permission,” The New York Times said in a statement. “They have not done so.”

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New AI Model May Predict Human Lifespan: Researchers

Researchers have developed an artificial intelligence (AI) tool that uses sequences of life events — such as health history, education, job and income — to predict everything from an individual’s personality to their lifespan.

Built using transformer models, which power large language models (LLMs) like ChatGPT, the tool called life2vec is trained on a data set pulled from the entire population of Denmark.

Life2vec is capable of predicting the future, including the lifespan of individuals, with an accuracy that exceeds state-of-the-art models, the researchers said.

However, despite its predictive power, the research team said it is best used as the foundation for future work, not an end in itself.

“Even though we’re using prediction to evaluate how good these models are, the tool shouldn’t be used for prediction on real people,” says Tina Eliassi-Rad, a professor at Northeastern University, US.

“It is a prediction model based on a specific data set of a specific population,” Eliassi-Rad said.

By involving social scientists in the process of building this tool, the team hopes it brings a human-centered approach to AI development that doesn’t lose sight of the humans amid the massive data set their tool has been trained on.

“This model offers a much more comprehensive reflection of the world as it is lived by human beings than many other models,” said Sune Lehmann, author of the study published in the journal Nature Computational Science.

At the heart of life2vec is the massive data set the researchers used to train their model.

The researchers used that data to create long patterns of recurring life events to feed into their model, taking the transformer model approach used to train LLMs on language and adapting it for a human life represented as a sequence of events.

“The whole story of a human life, in a way, can also be thought of as a giant long sentence of the many things that can happen to a person,” said Lehmann, a professor at the Technical University of Denmark.

The model uses the information it learns from observing millions of life event sequences to build what is called vector representations in embedding spaces, where it starts to categorise and draw connections between life events like income, education, or health factors.

These embedding spaces serve as a foundation for the predictions the model ends up making, the researchers said.

One of the life events that the researchers predicted was a person’s probability of mortality.

“When we visualise the space that the model uses to make predictions, it looks like a long cylinder that takes you from low probability of death to high probability of death,” Lehmann said.

“Then we can show that in the end where there’s a high probability of death, a lot of those people actually died, and in the end where there’s low probability of dying, the causes of death are something that we couldn’t predict, like car accidents,” the researcher added.

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OpenAI Postpones Launch of Custom GPT Store Announced at DevDay to Early 2024

ChatGPT maker OpenAI has delayed the launch of its custom GPT store until early 2024, according to an internal memo seen by Reuters on Friday.

During its first developer conference in November, OpenAI introduced the custom GPTs and store, which were set to be launched later that month.

The company is continuing to “make improvements” to GPTs based on customer feedback, the memo said.

The delay comes against the backdrop of the startup’s surprise ouster of its CEO Sam Altman and his subsequent reinstatement following threats by employees to quit.

The GPTs are early versions of AI assistants that perform real-world tasks such as booking flights on behalf of a user. It is also expected to allow users to share their GPTs and earn money based on the number of users.

Last month, OpenAI announced it intends to work with organisations to produce public and private datasets for training artificial intelligence (AI) models.

Popular chatbot ChatGPT, which can generate poems and prose from simple prompts, is based on large language models that are trained entirely on open-source data available on the Internet.

The company’s latest effort could help it produce more nuanced training data that are more conversational in style.

“We’re particularly looking for data that expresses human intention, across any language, topic and format,” the company said in a blog post.

OpenAI said it is seeking partners to help it create an open-source dataset for training language models. This dataset would be public for anyone to use in AI model training, it said.

The company said it is also preparing private datasets for training proprietary AI models.

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Amazon Q Chatbot Announced for AWS Customers; Comes Loaded With Generative AI Features

Amazon has hopped aboard the generative AI hype, that boomed exponentially after the launch of OpenAI’s ChatGPT last year. During Amazon’s re:Invent conference in Las Vegas, it officially lifted the curtains off ‘Q’, a generative AI-enabled chatbot designed for the customers of Amazon Web Services (AWS), most of which are businesses. Through this new AI assistant, Amazon will respond to real-time inquiries, help businesses create content, and process tasks as directed.

Amazon is aiming to improve its customer needs through Q. Company agents will be able to provide real-time responses to queries raised by AWS customers, making communication between the two parties prompt and in real-time.

The chatbot will also be able to identify crucial parts of customers’ calls with company agents using AI, draft professional emails, brainstorm ideas, summarise reports, explain concepts, and write articles for businesses.

“Amazon Q provides immediate, relevant information and advice to employees to streamline tasks, accelerate decision-making and problem-solving, and help spark creativity and innovation at work,” Amazon Web Services wrote in a blog post, explaining the purpose of Q.

To get access to customised features, pricing, and options for Q, AWS users will be offered two or more plans to choose from. The costs of these plans reportedly range between $20 (roughly Rs. 1,666) and $25 (roughly Rs. 2,083).

“Amazon Q can adapt its interactions to each individual user based on the existing identities, roles, and permissions of your business. It searches the documents in connected data sources and creates a relevant and detailed suggestion for a social media post. Amazon Q also tells which document was used to generate the answer,” the blog explained.

The platform is expected to be of essential assistance to software developers, IT professionals, business analysts, and content writers. For now, Amazon Q is available for preview in AWS Regions US East (N. Virginia) and US West (Oregon). The company did not provide a timeline about its expansion to other parts of the world.

Generative AI, as a technology, lets people ask for information or generate content on a big array of topics. ChatGPT and Google’s Bard are among the popular generative AI platforms that have taken the Internet by storm.

Hardware giants like OnePlus, Samsung, MediaTek are also tweaking their products with assistance to incorporate generative AI platforms and services.

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