Microsoft Adds AI-Powered Rewrite to Windows 11 Notepad
The Rewrite function uses ChatGPT to rephrase content, adjust tone, and modify text length. Users can choose from formal, casual, inspirational, and humorous tones. Format options include paragraph, list, business, academic, marketing, and poetry, as reported by Windows Latest.
To use Rewrite, users highlight text or click the Rewrite button (or use Ctrl + I). The system generates three different versions of the selected text for users to choose from.
Access to these new AI functions requires a Microsoft 365 Personal or Family subscription. Users in the United States, United Kingdom, and Canada can access limited free credits, but these are quickly used up.
The AI integration in Notepad is not as extensive as Copilot in Word. Notepad's AI focuses on rewriting sentences and adjusting tone or format, unlike Word's Copilot, which can summarize content and structure documents.
Users who prefer not to use AI features can disable Rewrite in Notepad's settings.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Black America Web
2 hours ago
- Black America Web
Microsoft Laying Off Up To 9,000 Employees, Xbox Cancels ‘Perfect Dark', Gamers React
Source: picture alliance / Getty / Microsoft / Xbox / Phil Spencer Wednesday was a rough one for Microsoft and Team Xbox. The Seattle Times reports that Microsoft is giving about 9,100, or about 4 percent, of its workforce pink slips. According to the report, the Xbox division, aka Microsoft Gaming, will be hit the hardest as a result of these layoffs, but the exact number remains unknown. In a message to the team, Xbox head Phil Spencer said to the team, 'To position Gaming for enduring success and allow us to focus on strategic growth areas, we will end or decrease work in certain areas of the business and follow Microsoft's lead in removing layers of management to increase agility and effectiveness.' The sad news also means that these layoffs will impact games. According to Bloomberg , the Microsoft-owned King division, the maker of the wildly popular Candy Crush mobile game franchise, is laying off 10 percent of its employees, or approximately 200 people. Zenimax also confirmed it was laying off employees. Turn 10, the studio behind the Forza Motorsport franchise, is laying off more than 70 employees . The long-talked-about Perfect Dark game from the now-shuttered studio The Initiative and Crystal Dynamics, along with Everwild , has been canceled. Perfect Dark was just revealed during the Xbox Games Showcase in 2024, so that means there's a possibility that more games shown during that event could be put on ice by Microsoft. This latest round of layoffs follows Microsoft's layoffs of more than 6,000 employees less than two months ago, which were subsequently supplemented by an additional 305 reductions in early June. Phil Spencer's entire memo to the team, speaking about the recent round of layoffs, reads: Today we are sharing decisions that will impact colleagues across our organization. To position Gaming for enduring success and allow us to focus on strategic growth areas, we will end or decrease work in certain areas of the business and follow Microsoft's lead in removing layers of management to increase agility and effectiveness. Out of respect for those impacted today, the specifics of today's notifications and any organizational shifts will be shared by your team leaders in the coming days. I recognize that these changes come at a time when we have more players, games, and gaming hours than ever before. Our platform, hardware, and game roadmap have never looked stronger. The success we're seeing currently is based on tough decisions we've made previously. We must make choices now for continued success in future years and a key part of that strategy is the discipline to prioritize the strongest opportunities. We will protect what is thriving and concentrate effort on areas with the greatest potential, while delivering on the expectations the company has for our business. This focused approach means we can deliver exceptional games and experiences for players for generations to come. Prioritizing our opportunities is essential, but that does not lessen the significance of this moment. Simply put, we would not be where we are today without the time, energy, and creativity of those whose roles are impacted. These decisions are not a reflection of the talent, creativity, and dedication of the people involved. Our momentum is not accidental—it is the result of years of dedicated effort from our teams. HR is working directly with impacted employees to provide severance plan benefits (aligned with local laws), including pay, healthcare coverage, and job placement resources to support their transition. Employees whose roles were eliminated are encouraged to explore open positions across Microsoft Gaming, where their applications will be given priority review. Thank you to everyone who has shaped our culture, our products, and our community. We will move forward with deep appreciation and respect for all who have contributed to this journey. Phil You can see reactions to the announcement of the unfortunate layoffs in the gallery below, spoiler alert, Phil Spencer might want to stay off social media for a while. Microsoft Laying Off Up To 9,000 Employees, Xbox Cancels 'Perfect Dark', Gamers React was originally published on
Forbes
6 hours ago
- Forbes
I Want AI In My Business In The Best Way
typing on laptop It's exciting times, and challenging times, for business. Everyone from the C suite on down is scrambling to figure out how to use brand new tools and ideas to their advantage. For the rank and file, people below management level, the imperative is to justify their own work, by learning how AI applies to any given role (I cite Toby Lutke's Shopify memo). Managers and leaders, on the other hand, have a slightly different goal – they have to figure out how to use AI to the benefit of the organization as a whole. So how do you get confidence for, as a fortune cookie might say, these uncertain times? Researching AI One way to start is to learn about the technology in general, to start becoming knowledgeable on what the LLMs do, and why. Just for example: I came across this list from Codemotion of common algorithm components and stochastic ideas using in AI/ML: Now, if you're in a leadership role practically, it's to your benefit to know and understand these terms. They represent a short survey of how we started using AI for things like restaurant recommendations, analysis of performance reviews, and decision support. In other words, if you can explain each of these types of machine learning mechanisms, you're closer to the top of the pile when it comes to brainstorming on AI. Tips from LLM Engines What do MS Copilot and ChatGPT have to say about the issue? After all, you're trying to understand them, in a way. I got this by asking Copilot to enumerate some tips for better AI adoption: (For sourcing, Copilot cited Codemotion and analyticsinsight, along with giants Microsoft and IBM, and our own work at Forbes.) Then I asked ChatGPT and got this (I forgot to tell it not to be so wordy): Start Small and Prioritize High-Impact Use Cases Invest in Clean, Well-Organized Data Upskill Your Workforce Choose the Right Partners and Technology Stack Focus on Change Management and Clear Communication After Human Review… I was looking at how these pieces of advice overlap. You could say that 'define clear objective and scope' from Copilot tracks to ChatGPT's #5 tip on clear communication. As for 'Choose the Right Partners and Technology Stack' (from ChatGPT) there's Copilot's exhortation to have the right tools on hand. I'll leave it up to you, the reader, to decide if these recommendations are overly generic or not. More on AI Adoption Then there's this panel discussion from IIA, moderated by Paul Baier of GAI Insights. '(You should have) practical applications of evolving technology, but also have dedicated focus on your own plan execution,' said panelist Venkat Vedam. '(You should have) use cases and business cases mapped out … this year, next year, but at the same time, we don't want to lose on the skills gaps.' The panel also discussed shadow IT, where employees may be using tools not explicitly endorsed by the organization. 'I feel like shadow IT is not a problem,' Vedam said. 'It's more of an opportunity … the reason shadow IT exists is because the employees are not getting the tools they need … it's also manifesting in a slightly more structured fashion.' He explained. 'There's a bunch of engineers and developers who are servicing a small set of users that are not technically part of the technology organization,' he said. 'The reason why the shadow IT works is (that) the people who are implementing those tools know the business problems well, and have the flexibility to adopt new technologies. (The goal is) to build an operating model around it … (and) to have a governance process to take what works in the shadow IT and make it real.' 'With everything changing so fast, I think it's hard to (have shadow IT because) your organization doesn't really want that so much anymore,' said panelist Joan LaRovere. 'What is the problem you're trying to solve? And … do we need to think about other vendors or internal builds? … you (should) know what you need in your tech stack to actually solve the problems your organization needs to solve, and you need that oversight.' 'I think what you're trading off against is security,' added panelist Tomas Reimers. 'And so if your employees are bringing in tools that have access to customer data or personal health information, that's bad. If they're using AI tools to make restaurant reservations for a meeting they have at noon, it probably doesn't matter.' The Spread of Information Later, Reimers talked about observing tech processes and interactions to get a better bird's eye view of what's happening. 'One of my favorite graphs we have in the office is, whenever we go into an organization, we can actually map the social network of developers that talk to each other, one of the artifacts of working in development. And then you can see where it's adopted. And it always looks like it starts at a node and it spreads out from there.' LaRovere mentioned the value of broader collaboration, which is another point that resonates with me in terms of offering part of a road map. 'I think one of the best things … is bringing people together and sharing either what they've done, showcasing what they've done, testing different things, creating that, what we call a learning community,' she said. Your Own Business Case I'll end with this: part of what I've learned over several decades of being around technology is that most new tools can either help or hinder a business (if you've read a good number of these blogs, you may have read this already) in terms of practical integration. There's usually a learning curve. If you don't prepare staff, you could be in for a lot of trouble. And then there's fitting your applications to your business need, which is not a one-size-fits-all or cookie-cutter type of thing. But maybe this set of tips, from people, the web, and LLMs, is a good start.
Forbes
6 hours ago
- Forbes
The Blackwell Successor: What Nvidia's Rubin Means For Your Phone
23 February 2024, USA, Santa Clara: The logo of the chip company Nvidia can be seen at its ... More headquarters in Silicon Valley. The company's market capitalization exceeded the two trillion dollar mark for the first time at the close of trading on Friday. Photo: Andrej Sokolow/dpa (Photo by Andrej Sokolow/picture alliance via Getty Images) It doesn't take too much digging to see that the hardware world is heating up. One company remains dominant in some key ways. Nvidia, led by Jensen Huang, is a big new star in the tech world, and recently became the largest company by market cap on the U.S. stock market, eclipsing both Apple and Microsoft. How did this happen? Nvidia has become adept at setting the trends when it comes to hardware. Its GPUs are in the biggest data centers, like XAI's Colossus and other projects operating at enormous scales, as when Musk kept capriciously adding 100,000 more GPUs to the aforementioned project. Nvidia has also garnered a large share of the foundry operations of TSMC, the Taiwanese company that primarily manufacturers chips, providing a wide range of top clients with processing power. Bold New Architectures Along with its track record in production and market dominance, Nvidia has also been announcing a lot of new models for its processors. It wasn't too long ago we were talking about Nvidia Blackwell, named after David Blackwell, and the Grace Blackwell superchip, that had groundbreaking capacity and a customer base around the world. At a recent tech event in 2024, though, Huang announced the company's intention to start offering a new kind of microarchitecture called 'Rubin,' named after physicist Vera Rubin. It would have a GPU called Rubin and a CPU called Vera, for a powerful one-two punch in terms of clock speed. In addition, there will be an alternative called Rubin Ultra developed after that, and a hardware model called Feynman (after physicist Richard Feynman) in 2028. As for memory bandwidth, Rubin is expected to have around 900 GB per second, with Rubin Ultra operating around 1200 GB per second. Feynman is expected to operate around 1000 GB per second, being optimized for certain kinds of data handling and precise mathematical operations. There's also a Rubin AI platform, the company's ecosystem, set up with Rubin chips. This will have ultra fast HBM4 memory, with NV Link 6 switches, to deliver up to 3600 GB per second in bandwidth. It's all made for data centers; it's made for AI. Putting LLMs on Devices Now, let's talk about the market effect of Nvidia's Rubin. Experts point out that it's not necessarily that you'll get an entire model working entirely off-line – but the architectures themselves will drive more edge computing models for robust systems. That means the AI entities that you do have on your local devices will become more competent, more capable, and able to reason at a more profound depth. So we are likely to soon see the effect of these hardware revolutions in the consumer world with our wearables and mobile device devices. Everything from fitness and education to retail, medicine and law is getting re-Imagined with powerful LLMs that are portable and decentralized from big data centers. 'These devices encompass a wide range, from powerful edge servers to resource-constrained IoT sensors, and include familiar examples like smartphones, smart home appliances, autonomous vehicles, and even industrial robots,' writes Bhavishya Pandit at Datacamp, explaining some of the values of edge computing and its potential effects on our tech world. Presumably, there's still important work going on in those big data centers, but increasingly, it will be relegated to research and esoteric IT, while we'll continue to see more implementation at the user device level. We'll probably see more impact on the average user, too. That may come in the form of higher user adoption for applications, or more respect for the powers that AI has, or both. How do you see the future of AI when everyone's carrying powerful artificial intelligence engines in their pockets? Let's keep an eye on this throughout the rest of 2025 and in 2026 as Rubin first comes to the hardware market.
