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Nvidia has agreed to license technology from AI startup Groq for use in some of its artificial intelligence chips, marking the chipmaker’s largest deal and underscoring its push to strengthen competitiveness amid surging demand. Here is a list of multi-billion-dollar AI, cloud and chip deals signed recently: OPENAI DEALS Amazon and OpenAI Amazon is considering an investment of around $10 billion in OpenAI, though talks remain “very fluid,” according to a source who requested anonymity due to the private nature of their talks. Disney and OpenAI Walt Disney to invest $1 billion in OpenAI and will let the ChatGPT-parent use characters from Star Wars, Pixar and Marvel franchises in its Sora AI video generator – a move that could transform Hollywood content creation. As part of the three-year licensing agreement, Sora and ChatGPT Images will begin generating videos featuring licensed Disney characters such as Mickey Mouse, Cinderella, and Mufasa early next year. The deal excludes any talent likeness or voices. Broadcom and OpenAI OpenAI has partnered with Broadcom to produce its first in-house artificial intelligence processors, the latest tie-up for the world’s most valuable startup for computing power amid surging demand for its services. AMD and OpenAI AMD agreed to supply artificial intelligence chips to OpenAI in a multi-year deal that would also give the ChatGPT creator the option to buy up to roughly 10% of the chipmaker. Nvidia and OpenAI Nvidia is set to invest up to $100 billion in OpenAI and supply it with data center chips, in a deal giving the chipmaker a financial stake in OpenAI. OpenAI is already an important customer for Nvidia. Oracle and OpenAI Oracle is reported to have signed one of the biggest cloud deals ever with OpenAI, under which the ChatGPT maker is expected to buy $300 billion in computing power from the company for about five years. CoreWeave and OpenAI CoreWeave signed a five-year contract worth $11.9 billion with OpenAI in March, before the Nvidia-backed startup’s IPO. Stargate Datacenter Project Stargate is a joint venture between SoftBank, OpenAI and Oracle to build data centers. The project was announced in January by U.S. President Donald Trump, who said that the companies would invest up to $500 billion to fund infrastructure for artificial intelligence. META DEALS Meta and CoreWeave CoreWeave has signed a $14 billion agreement with Meta to supply computing power to the Facebook parent. Meta and Oracle Oracle is in talks with Meta for a multi-year cloud computing deal worth about $20 billion, underscoring the social media giant’s drive to secure faster access to computing power. Meta and Google Google struck a six-year cloud computing deal with Meta Platforms worth more than $10 billion, Reuters had reported in August. Meta and Scale AI Meta took a 49% stake for about $14.3 billion in Scale AI and brought in its 28-year-old CEO, Alexandr Wang, to play a prominent role in the tech giant’s artificial intelligence strategy. NVIDIA DEALS Nvidia and Groq Nvidia has agreed to license chip technology from startup Groq and hire its CEO Jonathan Ross, who helped Google start its AI chip program, among other engineers at the company. CNBC reported that Nvidia had agreed to acquire Groq’s assets for $20 billion. Microsoft, Nvidia, and Anthropic Microsoft will invest up to $5 billion and Nvidia up to $10 billion in Anthropic, while the Claude maker will pledge $30 billion to run its workloads on Microsoft’s cloud. Under the agreement, Anthropic will commit up to 1 gigawatt of compute, powered by Nvidia’s advanced Grace Blackwell and Vera Rubin hardware. The company will also team up with Nvidia to improve chips and AI models for better performance. Nvidia-backed group and Aligned Data Centers An investor group including BlackRock, Microsoft and Nvidia is buying U.S.-based Aligned Data Centers, one of the world’s biggest data center operators with nearly 80 facilities, in a deal worth $40 billion. Nvidia and Intel Nvidia will invest $5 billion in Intel, giving it roughly 4% of the company after new shares are issued. CoreWeave and Nvidia CoreWeave signed a $6.3 billion initial order with backer Nvidia, a deal that guarantees that the AI chipmaker will purchase any cloud capacity not sold to customers. GOOGLE DEALS Google and Texas Google will invest $40 billion in three new data centers in Texas through 2027. One of the data centers will be in Armstrong County, in the Texas Panhandle, and the other two in Haskell County, a stretch of West Texas near Abilene. The company is also continuing to invest in its existing Midlothian campus and Dallas cloud region, part of the company’s global network of 42 cloud regions. Google and Windsurf Google hired several key staff members from AI code generation startup Windsurf and will pay $2.4 billion in license fees as part of the deal to use some of Windsurf’s technology under non-exclusive terms. OTHERS Nebius Group and Microsoft Nebius Group will provide Microsoft with GPU infrastructure capacity in a deal worth $17.4 billion over a five-year term. Intel and Softbank Group Intel is getting a $2 billion capital injection from SoftBank Group, making the Japanese tech investor one of the top-10 shareholders of the troubled U.S. chipmaker. Tesla and Samsung Tesla signed a $16.5 billion deal to source chips from Samsung Electronics, with the EV maker’s CEO Elon Musk saying that the South Korean tech giant’s new chip factory in Texas would make Tesla’s next-generation AI6 chip. Amazon and Anthropic Amazon.com pumped $4 billion into OpenAI competitor Anthropic, doubling its investment in the firm known for its GenAI chatbot Claude. Juby Babu, Deborah Sophia, Arnav Mishra, Jaspreet Singh, and Zaheer Kachwala, Reuters
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If you’re embarrassed every time you have to hand over that Gmail address you came up with in 2006, you’re in luck. Google is finally allowing users to change their Gmail username without creating an entirely new account. The update will allow you to edit your email address to any that isnt taken. Until now, Google only offered the option to create an alternate email and forward your mail to a new @gmail.com address. But, if you wanted any of your documents, pictures, or other media, then it required you to transfer all the data overa process that is far from smooth. Now, Google is offering the ability to keep all of that information, whether youve changed your name, need a more professional address, or just want something new. There are a few caveats, however. Google has yet to make an official announcement about where exactly this new feature will be available. Right now, the support page appears to only be available in Hindi, so it might start in India. Fast Company has reached out to Google for more details on the location and timeline. How to change your Gmail address If you already have the desired username as an alternative email, you will have to delete it first to add it as your primary account. You should also still have the original email address, with it acting as an alias of sorts. Basically, all correspondence sent to that username should still appear in your inbox and you should be able to use it for Google services, including Drive and YouTube. It also appears that once you choose a new username, you will be stuck with it for at least 12 months. You can check whether the update is available on Gmail a few different ways. On your computer, you can: Click on your Google account On the left, tap Personal info Choose Email Then, try to select Google account email If the last option isnt available, then you likely dont have access to this update as of now. Checking for the feature on your Apple or Android devices is quite similar. For the former, you start by opening the Gmail app and clicking your profile picture or initial. On an Android device, get to the same page by going to your settings app, choosing Google, and then your name. From there, on both Apple and Android devices, you can: Click Manage your Google Account Tap Personal info Click Email Select Google Account email Again, if the last option doesnt work, you likely cant change your username yet. If you do have the option to change your email address, then you will see an edit option next to it. From there, you just have to enter a new and available username and you’ll be off to a much less embarrassing future.
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AI is no longer the future of healthcare; its already reshaping how patients are diagnosed and treated. Some of the most interesting developments involve systems that sense and respond to human emotion. Cedars-Sinais Connect platform, for example, adapts care based on patient sentiment; CompanionMx interprets vocal and facial cues to detect anxiety; and Feel Therapeutics uses emotion-sensing wearables to tailor interventions in real time. At the same time, clinical tools are evolving. Hospitals are pairing large language models (LLMs) with AI note-taking apps such as Nabla and Heidi, which can listen, summarize, and respond to the nuances of doctorpatient conversations. Investment in medical scribing technologies alone hit around $800 million last year. A SHIFT TO AI ADAPTATION All of this points to a bigger shift from AI that automates tasks to AI that adapts. Traditional AI sped up paperwork and crunched data. Adaptive AI helps clinicians make better judgments, understand patients more deeply, and respond in context. You can already see this shift in breast cancer screening, genomics, and drug discovery, where high quality data and constant validation are driving real progress. Emotionally-aware tools, when designed responsibly, can strengthen the connection between clinicians and patients, personalize care, and ease pressure on overstretched systems. But as adaptive AI becomes more widely available, success depends less on technical brilliance and more on how systems are built. The tools that succeed will be able to flex around people, fitting patients needs, clinicians workflows, and the realities of care. Good AI needs to be anticipatory and sensitive to context, built for the full diversity of patients. Even the most empathetic AI cannot, of course, erase the imperfections of human systems. Recent studies, for example, show that medical AI tools and LLMbased assistants routinely downplay symptoms in women and treat Black and Asian patients with less empathy than for white men. AI does not cleanse the biases of the real world; it carries them forward and often widens their impact. We have seen this pattern before. DEPLOYMENT MATTERS Thats why deployment conditions matter as much as technology. A system that mimics empathy does not automatically grasp nuance, context, or risk. Without firm ethical boundaries, so-called emotional intelligence can give a false sense of security. Clinicians still need to make the final calls, protecting patients and maintaining trust. AI can be a helpful care partner, but it cannot take on the weight of human responsibility. Building trust requires strengthening the foundations on which it is used. Involving patients, families, and carers from the start surfaces blind spots early and helps balance compassion with practicality. It also clarifies where automation should step back and human care needs to step in. Our Cancer Platform, developed with the Cancer Awareness Trust, illustrates this in practice, showing how empathetic design creates dependable, genuinely helpful tools. AI isnt here to replace people. Its here to support them in their expertise and scale their impact. Ideally we will build machines to handle complexity and pattern recognition, freeing clinicians to focus on what humans do best: exercise judgement, build connection, and provide care. Machines might learn to care, but it is up to us to create the ecosystem where that care is trustworthy, fair, and meaningfula challenge, yes, but one full of opportunity. Nicki Sprinz is CEO of ustwo.
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