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Plus, Salesforce bundles its AI implementation and data governance services. View the full article

If you were among the Windows Server 2022 users who recently spotted a new Microsoft Copilot app added to the list of installed programs, don’t fret - it’s not an actual app, and it doesn’t work. It's just a mistake on Microsoft’s part, a tail left behind the tests Microsoft ran for Windows Server 2025, recently. As reported by BleepingComputer, Microsoft acknowledged the error earlier this week, and added that it affected systems running Windows 10 22H2 and Windows 11 21H2, or newer. Shouldn't be visible "Updates to Edge browser version 123.0.2420.65, released on March 28, 2024 and later, might incorrectly install a new package (MSIX) called 'Microsoft chat provider for Copilot in Windows' on Windows devices. Resulting from this, the Microsoft Copilot app might appear in the Installed apps in Settings menu," the company said in a statement. So, it was an update for the Edge browser that triggered the error - and furthermore, Microsoft says the “app” doesn’t collect data, or exfiltrate it to company servers. "It is important to note that the Microsoft chat provider for Copilot in Windows does not execute any code or process, and does not acquire, analyze, or transmit device or environment data in any capacity," Microsoft added. The package will make it to the OS eventually, BleepingComputer added, but so far, it shouldn’t be visible on all Windows devices. "As part of the upcoming resolution of this issue, the chat provider for Copilot in Windows component will be removed from devices where Microsoft Copilot is not intended to be enabled or installed. This includes most Windows Server devices," Microsoft said. "We are working on a resolution and will provide an update in an upcoming release of Microsoft Edge." The company started testing Microsoft Copilot in WIndows Server 2025 preview builds earlier this year, but removed it after a backlash from the community. More from TechRadar Pro Microsoft’s Copilot AI can now read your files directly, but it's not the privacy nightmare it sounds likeHere's a list of the best firewalls around todayThese are the best endpoint security tools right now View the full article

The emergence of low/no-code platforms is challenging traditional notions of coding expertise. Gone are the days when coding was an exclusive skill set reserved for a knowledgeable few. Low/no-code platforms have democratized software development. They empower individuals from non-IT or technical backgrounds to translate their business ideas into applications without the need to master complex […]View the full article

Microsoft Copilot can write basic SQL code, which could help your employees be more efficient and productive.View the full article

Trying to decide which version of Microsoft Copilot is right for you? This guide will help you compare and choose the one that best suits your needs.View the full article

Just recently, I was coding a new feature for GitHub Copilot Chat. My task was to enable the chat to recognize a user’s project dependencies, allowing it to provide magical answers when the user poses a question. While I could have easily listed the project dependencies and considered the task complete, I knew that to extract top-notch responses from these large language models, I needed to be careful to not overload the prompt to avoid confusing the model by providing too much context. This meant pre-processing the dependency list and selecting the most relevant ones to include in the chat prompt. Creating machine-processable formats for the most prominent frameworks across various programming languages would have consumed days. It was during this time that I experienced one of those “Copilot moments.” I simply queried the chat in my IDE: Look at the data structure I have selected and create at least 10 examples that conform to the data structure. The data should cover the most prominent frameworks for the Go programming language. Voilà, there it was my initial batch of machine-processable dependencies. Just 30 minutes later, I had amassed a comprehensive collection of significant dependencies for nearly all supported languages, complete with parameterized unit tests. Completing a task that would likely have taken days without GitHub Copilot, in just 30 minutes, was truly remarkable. This led me to ponder: what other “Copilot moments” might my colleagues here at GitHub have experienced? Thus, here are a few ways we use GitHub Copilot at GitHub. 1. Semi-automating repetitive tasks Semi-automating repetitive tasks is a topic that resonates with a colleague of mine from another team. He mentions that they are tasked with developing and maintaining several live services, many of which utilize protocol buffers for data communication. During maintenance, they often encounter a situation where they need to increment ID numbers in the protobuf definitions, as illustrated in the code snippet below: protobuf google.protobuf.StringValue fetcher = 130 [(opts.cts_opt)={src:"Properties" key:"fetcher"}]; google.protobuf.StringValue proxy_enabled = 131 [(opts.cts_opt)={src:"Properties" key:"proxy_enabled"}]; google.protobuf.StringValue proxy_auth = 132 [(opts.cts_opt)={src:"Properties" key:"proxy_auth"}]; He particularly appreciates having GitHub Copilot completions in the editor for these tasks. It serves as a significant time saver, eliminating the need to manually generate ID numbers. Instead, one can simply tab through the completion suggestions until the task is complete. 2. Avoid getting side tracked Here’s another intriguing use case I heard about from a colleague. He needed to devise a regular expression to capture a Markdown code block and extract the language identifier. Fully immersed in his work, he preferred not to interrupt his flow by switching to chat, even though it could have provided a solution. Instead, he employed a creative approach by formalizing his task in a code comment: // The string above contains a code block with a language identifier. // Create a regexp that matches the code block and captures the language identifier. // Use tagged capture groups for the language and the code. This prompted GitHub Copilot to generate the regular expression as the subsequent statement in his editor: const re = /```(?<lang>\w+)(?<code>[\s\S]+?)```/; With the comment deleted, the task was swiftly accomplished! 3. Structuring data-related notes During a pleasant coffee chat, one of our support engineers shared an incident she experienced with a colleague last week. It was a Friday afternoon, and they were attempting to troubleshoot an issue for a specific customer. Eventually, they pinpointed the solution by creating various notes in VSCode. At GitHub, we prioritize remote collaboration. Thus, merely resolving the task wasn’t sufficient; it was also essential to inform our colleagues about the process to ensure the best possible experience for future customer requests. Consequently, even after completing this exhaustive task, they needed to document how they arrived at the solution. She initiated GitHub Copilot Chat and simply typed something along the lines of, “Organize my notes, structure them, and compile the data in the editor into Markdown tables.” Within seconds, the task was completed, allowing them to commence their well-deserved weekend. 4. Exploring and learning Enhancing and acquiring new skills are integral aspects of every engineer’s journey. John Berryman, a colleague of mine, undertook the challenge of leveraging GitHub Copilot to tackle a non-trivial coding task in a completely unfamiliar programming language. His goal was to delve into Rust, so on a Sunday, he embarked on this endeavor with the assistance of GitHub Copilot Chat. The task he set out to accomplish was to develop a program capable of converting any numerical input into its written English equivalent. While initially seeming straightforward, this task presented various complexities such as handling teen numbers, naming conventions for tens, placement of “and” in the output, and more. Twenty-three minutes and nine seconds later, he successfully produced a functional version written in Rust, despite having no prior experience with the language. Notably, he documented his entire process, recording himself throughout the endeavor. https://github.blog/wp-content/uploads/2024/04/rust_from_scratch_720-1.mp4 Berryman uses an older, experimental version of GitHub Copilot to write a program in Rust. Your very own GitHub Copilot moment I found it incredibly enlightening to discover how my fellow Hubbers utilize GitHub Copilot, and their innovative approaches inspired me to incorporate some of their ideas into my daily workflows. If you’re eager to explore GitHub Copilot firsthand, getting started is a breeze. Simply install it into your preferred editor and ask away. The post 4 ways GitHub engineers use GitHub Copilot appeared first on The GitHub Blog. View the full article

Microsoft has made a relatively minor but pretty useful tweak for Copilot in testing, as part of the ongoing effort to bring the AI assistant into play more often with Windows 11. This is part of the new Windows 11 preview build 22635 deployed in the Beta channel, and the change to Copilot is rolling out gradually, so not all testers in that channel will have it just yet. The idea is a ‘new experience’ for Copilot that aims to boost your productivity in Windows 11. How exactly? Well, when you copy a text or image file, the AI’s icon in the taskbar has an animation that’s triggered to let you know the assistant can help with that file. If you hover the mouse over the Copilot icon, you’ll then get some new options – for example with an image file, you’ll be presented with choices including creating an image like the current one, or getting Copilot to analyze the picture. (Image credit: Microsoft) Build 22635 doesn’t do an awful lot more than these Copilot tweaks, but there is another change here for Windows Share. Microsoft is making it so you can use this functionality to share directly to a specific Microsoft Teams channel or group chat. (This is an ability that had been in testing previously, but was temporarily removed due to bugs – and it’s now reinstated). As ever check out Microsoft’s blog post for the build to find out the full details and known issues in this preview release. Analysis: Treading a fine line The fresh tweaks for Copilot are simple but quick ways of interacting with files using the AI. Microsoft is putting these various abilities at the fingertips of the user, and highlighting that the AI can help with said animation on the icon. Clearly, the hope is that having brought Copilot to the attention of the person sat at the Windows 11 PC, this will result in more usage of the AI. With this change being in the Beta testing channel – the step before Release Preview, where things are finalized for the stable builds of Windows 11 for everyday users – we’ll likely see this introduced with the 24H2 update later this year. As to the overall concept of having Copilot pointed out actively, if Microsoft is planning to do more along these lines, it’ll have to tread a thin line between helping the user, and perhaps getting on the annoying side with too many little calls for attention. There’s a fine balance with some aspects of OS development – such as, for example, when recommendations or suggestions in menus become more like adverts – and sometimes Microsoft has strayed beyond the acceptable boundaries, at least in our humble opinion. We’re hopeful this won’t be the case here, and there’s certainly nothing wrong with the current Copilot rejigging in testing. You might also like... Watch out: soon some older PCs will lose Windows 11 supportWindows 11 is getting a voice-powered ability many users have been longing forDon’t make these 5 big mistakes when using Windows 11 View the full article

Microsoft uses Copilot as a product name, but more and more often the word sums up a generic class of generative AI bots.View the full article

Salesforce has introduced the beta version of Einstein Copilot for Tableau, a new capability designed to help users in every role and function explore data with AI assistance. Businesses tend to distribute insights from data in reports and dashboards created by expert analysts. Dashboards created in Tableau are visual and interactive, allowing users to adjust... Read more » The post Salesforce unveils Einstein Copilot for Tableau appeared first on Cloud Computing News. View the full article

Microsoft keeps trying to make Copilot happen, but it just isn’t useful. View the full article

Build 26090 removes the watermark that inside builds have while adding limited access to copilot for non-Microsoft accounts. View the full article

Get ready, suckers, because the AI PC train is building up to full speed, engines burning - all aboard! Yes, Intel and Microsoft have revealed a new set of requirements for so-called ‘AI PCs’, those AI-powered laptops and desktops that Microsoft in particular has been pushing as of late, with its Copilot AI assistant rolling out to more Windows users whether they like it or not. These requirements are fairly straightforward, outlining the three most basic tenets of what an AI PC should be: Capable of running Microsoft CopilotEquipped with a dedicated NPU (and a modern CPU and GPU)Features a dedicated Copilot button The first two make perfect sense to me. A Windows ‘AI laptop’ that doesn’t have Copilot would just be a regular laptop, and the current prevalence of Neural Processing Units (NPUs) for AI workloads makes those a near-mandatory inclusion for running local AI processes too. It’s that third point that irritates me, though. (Image credit: Intel) I’m not the only one: while Intel has largely acquiesced to Microsoft’s list of demands, there are already laptops out there that meet the first two requirements, lacking only the dedicated Copilot button. Under Microsoft’s rules, these laptops - like the rather excellent new Samsung Galaxy Book4 Pro - don’t technically meet the bar. But Intel reckons they should still be eligible for the ‘AI PC’ label. “From an Intel perspective, our AI PC has Core Ultra and it has an integrated NPU”, said Intel’s PC ecosystem head Todd Lewellen, going on to say that Intel has “great alignment with Microsoft, but there are going to be some systems out there that may not have the physical key on it but it does have our integrated NPU.” Opinion: Forcing hardware design shifts like this is a bad look I’ll be honest: I’m not very happy about this. I look at my laptop keyboard (the compact 13-inch HP Spectre x360) and my first thought is ‘Where the hell are they going to fit a Copilot key?’ Besides, I don’t personally use - or even want to use - Copilot. This isn’t me poo-pooing the merits of Microsoft’s AI assistant; I’m sure some people love using it, and it definitely offers some useful features. But I simply don’t want any space on my physical laptop dedicated to a feature I won’t use. Summoning Copilot in Windows 11 only takes a single mouse click - so why do we need a dedicated hardware key for it? (Image credit: Microsoft) Microsoft’s rules don’t specify anything about the Copilot button itself, such as whether it needs to be a certain size or if it can be implemented separately from the main keyboard layout (such as being on the side of the laptop, or perhaps taking over one of the Function keys along the top row). Some of Microsoft’s OEM partners might find interesting solutions to the physical button requirement, but I fear most will just cram it haphazardly on the bottom row by shrinking the Ctrl and Alt keys. You can’t stop progress Either way, it looks like this is happening, and we’re all just going to have to accept it. You could say ‘Just don’t buy an AI laptop’, but that’s going to quickly become unavoidable: according to market research by the International Data Corporation, AI PCs will account for nearly 60% of all computer sales by 2027, a meteoric market takeover. Since I’m primarily a Windows user, Microsoft’s firm push for AI-compliant hardware isn’t something I’ll be able to outrun. The Google Pixelbook Go featured a dedicated Assistant key way back in 2019, long before the generative AI boom. (Image credit: Future) Microsoft isn’t alone in mandating changes like this, either. While Google hasn’t officially stated that Chromebooks will need a dedicated button for Google Gemini, it looks like there’s already at least one Chromebook with an ‘AI key’ in the works - and of course, Google’s own Pixelbook Go featured a Google Assistant button on the keyboard. As for macOS devices, it looks like the M4 chip will be arriving next year with Apple’s own NPU, so perhaps the next wave of MacBooks will feature their own AI key? So my protests will likely fall on deaf ears. I suppose it’s far from the worst thing to happen; I just don’t see the point. Windows 11 already features a Copilot button in the bottom-right of the taskbar by default, and on a touchscreen device (like my own laptop) that’s just as easy to use as a physical Copilot key would be. Still, I don’t really approve of anything that OS makers try to force on laptop manufacturers: it’s a practice that stymies innovation and experimentation, and I worry that Microsoft’s AI PC rules will become a slippery slope leading to further demands of OEMs. You might also like... Sam Altman hints at the future of AI and GPT-5 - and big things are comingHere’s more proof Apple is going big with AI this yearOpenAI just gave artists access to Sora and proved the AI video tool is weirder and more powerful than we thought View the full article

Intel executives confirmed today that Microsoft's Copilot AI service will soon run locally on PCs and have a requirement for a minimum of 40 TOPS of NPU performance. View the full article

Microsoft just announced that Copilot is rolling out to more Windows 11 users right now, and also it’ll be inbound to more Windows 10 users soon enough. Neowin spotted the revelation in the Windows message center where Microsoft let us know that Copilot is coming to a wider audience – so, if you haven’t seen the AI assistant yet, you may well do soon enough. Microsoft also let us know that from this week, it’s possible to use up to 10 queries with Copilot before you have to sign in to your Microsoft account. So, you can give the AI a bit of a try even if you don’t have an active Microsoft account on your Windows installation. The ‘new wave’ of Copilot additions is happening now with Windows 11 (23H2 and 22H2), at least for consumers (with businesses, it will depend on admin policies). And eligible Windows 10 devices on Home or Pro versions (22H2) will start to get Copilot in this broader rollout later in March – so within the next week. Microsoft tells us: “This current rollout phase will reach most of its targeted Windows 11 and 10 devices by the end of May.” Meanwhile, Microsoft is also busy expanding Copilot’s repertoire of tricks regarding changing Windows settings, though it’s very slow going on that front thus far. Analysis: AI for everyone It sounds like most folks will have Copilot by the end of May, then. We’ve already seen it arrive on our Windows 10 PC, so that rollout is definitely already underway – it’s just about to step up to another level. How will you know if you get Copilot? You can’t miss the colorful icon which will appear in the taskbar, on the far right (in the system tray). It’s marked with a ‘Pre’ on the icon to denote that the AI is still in preview, so it’s still possible to experience wonky or odd behavior when running queries with Copilot. While you can turn off the Copilot icon if you don’t want to see it, you can’t actually remove the AI from Windows as such (not yet) – it’ll still be lurking in the background, even if you never access it. That said, there are ways to extract Copilot from your Windows installation, such as using third-party apps (though we wouldn’t recommend doing so, as previously discussed). You might also like... Watch out: soon some older PCs will lose Windows 11 supportWindows 11 is getting a voice-powered ability many users have been longing forDon’t make these 5 big mistakes when using Windows 11 View the full article

Starting today, code scanning autofix will be available in public beta for all GitHub Advanced Security customers. Powered by GitHub Copilot and CodeQL, code scanning autofix covers more than 90% of alert types in JavaScript, Typescript, Java, and Python, and delivers code suggestions shown to remediate more than two-thirds of found vulnerabilities with little or no editing. Found means fixed Our vision for application security is an environment where found means fixed. By prioritizing the developer experience in GitHub Advanced Security, we already help teams remediate 7x faster than traditional security tools. Code scanning autofix is the next leap forward, helping developers dramatically reduce time and effort spent on remediation. Even though applications remain a leading attack vector, most organizations admit to an ever-growing number of unremediated vulnerabilities that exist in production repositories. Code scanning autofix helps organizations slow the growth of this “application security debt” by making it easier for developers to fix vulnerabilities as they code. Just as GitHub Copilot relieves developers of tedious and repetitive tasks, code scanning autofix will help development teams reclaim time formerly spent on remediation. Security teams will also benefit from a reduced volume of everyday vulnerabilities, so they can focus on strategies to protect the business while keeping up with an accelerated pace of development. Want to try code scanning autofix? If your organization is new to GitHub or does not yet have GitHub Advanced Security (or, its prerequisite, GitHub Enterprise), contact us to request a demo and set up a free trial. How it works When a vulnerability is discovered in a supported language, fix suggestions will include a natural language explanation of the suggested fix, together with a preview of the code suggestion that the developer can accept, edit, or dismiss. In addition to changes to the current file, these code suggestions can include changes to multiple files and the dependencies that should be added to the project. Want to learn more about how we do it? Read Fixing security vulnerabilities with AI: A peek under the hood of code scanning autofix. Behind the scenes, code scanning autofix leverages the CodeQL engine and a combination of heuristics and GitHub Copilot APIs to generate code suggestions. To learn more about autofix and its data sources, capabilities, and limitations, please see About autofix for CodeQL code scanning. What’s next? We’ll continue to add support for more languages, with C# and Go coming next. We also encourage you to join the autofix feedback and resources discussion to share your experiences and help guide further improvements to the autofix experience. Together, we can help move application security closer to a place where a vulnerability found means a vulnerability fixed. Resources To help you learn more, GitHub has published extensive resources and documentation about the system architecture, data flow, and AI policies governing code scanning autofix. Changelog: Code scanning now suggests AI-powered autofixes for CodeQL alerts in pull request (beta) Engineering blog: Fixing security vulnerabilities with AI Documentation: About autofix for CodeQL code scanning Discussion: Autofix feedback and resources If you want to give code scanning autofix a try, but your organization is new to GitHub or does not yet have GitHub Advanced Security (or, its prerequisite, GitHub Enterprise), contact us to request a demo and set up a free trial.

Microsoft has begun rolling out a new feature for its Copilot AI assistant in Windows that will allow the bot to directly read files on your PC, then provide a summary, locate specific data, or search the internet for additional information. Copilot has already been aggressively integrated into Microsoft 365 and Windows 11 as a whole, and this latest feature sounds – at least on paper – like a serious privacy issue. After all, who would want an AI peeking at all their files and uploading that information directly to Microsoft? Well, fortunately, Copilot isn’t just going to be snooping around at random. As spotted by @Leopeva64 on X (formerly Twitter), you have to manually drag and drop the file into the Copilot chat box (or select the ‘Add a file’ option). Once the file is in place, you can proceed to make a request of the AI; the suggestion provided by Leopeva64 is simply ‘summarize’, which Copilot proceeds to do. Another step towards Copilot being genuinely useful I’ll admit it, I’m a Copilot critic. Perhaps it’s just because I’m a jaded career journalist with a lifetime of tech know-how and a neurodivergent tilt towards unhealthy perfectionism, but I’ve never seen the value of an AI assistant built into my operating system of choice; however, this is the sort of Copilot feature I actually might use. The option to summarize alone seems quite useful: more than once, I’ve been handed a chunky PDF with embargoed details about a new tech product, and it would be rather nice not to have to sift through pages and pages of dense legalese and tech jargon just to find the scraps of information that are actually relevant to TechRadar’s readership. Summarizing documents is already something that ChatGPT and Adobe Acrobat AI can do, so it makes sense for Copilot – an AI tool that's specifically positioned as an on-system helper – to be able to do it. While I personally prefer to be the master of my own Googling, I can see the web-search capabilities being very helpful to a lot of users, too. If you’ve got a file containing partial information, asking Copilot to ‘fill in the blanks’ could save you a lot of time. Copilot appears capable of reading a variety of different file types, from simple text documents to PDFs and spreadsheets. Given the flexible nature of modern AI chatbots, there are potentially many different things you could ask Copilot to do with your files – though apparently, it isn’t able to scan files for viruses (at least, not yet). If you’re keen to get your hands on this feature yourself, you hopefully won’t have to wait long. While it doesn’t seem to be widely available just yet, Leopeva64 notes that it appears Copilot’s latest new skill “is being rolled out gradually”, so it’ll likely start showing up for more Windows 11 users as time goes on. The Edge version of Copilot will apparently be getting this feature too, as Leopeva points out that it’s currently available in the Canary prototype build of the browser – if you want to check that out, you just have to sign up for the Edge Insider Program. You might also like Windows Copilot will soon allow you to edit photos, shop instantly, and moreMicrosoft’s Windows 11 nagging is set to hit new heights - so Windows 10 Pro users prepare yourselvesSnapdragon X could finally deliver Windows 11 ARM laptops that can rival MacBooks View the full article

Research shows that developers complete tasks 55% faster at higher quality when using GitHub Copilot, helping businesses accelerate the pace of software development and deliver more value to their customers. We understand that adopting new technologies in your business involves thorough evaluation and gaining cross functional alignment. To jump start your organization’s entry into the AI era, we’ve partnered with engineering leaders at some of the most influential companies in the world to create a new expert-guided GitHub Learning Pathway. This prescriptive content will help organizational leaders understand: What can your business achieve using GitHub Copilot? How does GitHub Copilot handle data? What are the best practices for creating an AI governance policy? How can my team successfully roll out GitHub Copilot to our developers? Along the way, you’ll also get tips and insights from engineering leaders at ASOS, Lyft, Cisco, CARIAD (a Volkswagen Group company), and more who have used GitHub Copilot to increase operational efficiency, deliver innovative products faster, and improve developer happiness! Start your GitHub Copilot Learning Pathway Select your GitHub Learning Pathway NEW! AI-powered development with GitHub Copilot From measuring the potential impact of GitHub Copilot on your business to understanding the essential elements of a GitHub Copilot rollout, we’ll walk you through everything you need to find success with integrating AI into your businesses’ software development lifecycle. CI/CD with GitHub Actions From building your first CI/CD workflow with GitHub Actions to enterprise-scale automation, you’ll learn how teams at leading organizations unlock productivity, reduce toil, and boost developer happiness. Application Security with GitHub Advanced Security Protect your codebase without blocking developer productivity with GitHub Advanced Security. You’ll learn how to get started in just a few clicks and move on to customizing GitHub Advanced Security to meet your organization’s unique needs. Administration and Governance with GitHub Enterprise Configure GitHub Enterprise Cloud to prevent downstream maintenance burdens while promoting innersource, collaboration, and efficient organizational structures, no matter the size and scale of your organization. Learning Pathways are organized into three modules: Essentials modules introduce key concepts and build a solid foundation of understanding. Intermediate modules expand beyond the basics and detail best practices for success. Advanced modules offer a starting point for building deep expertise in your use of GitHub. We are hard at work developing the next GitHub Copilot Learning Pathway module, which will include a deep dive into the nitty-gritty of working alongside your new AI pair programmer. We’ll cover best practices for prompt engineering and using GitHub Copilot to write tests and refactor code, among other topics. Are you ready to take your GitHub skills to the next level? Get started with GitHub Learning Pathways today.

Learn everything you need to know about Copilot’s Bing AI chatbot (formerly Bing Chat), its features, capabilities, limitations and more.View the full article

Microsoft has spent billions on integrating ChatGPT into its Copilot AI assistant for Edge, Bing and Windows 11 – and a new code leak suggests it could be planning to claw back some of that investment very soon. As spotted by Android Authority, some new Edge browser updates for Android contain several code references to a 'Copilot Pro' tier that isn't yet available. Right now, Copilot (previously called Bing Chat) is completely free and, as Tom's Guide recently noticed, even gives some access to the latest ChatGPT model, GPT-4 Turbo. But those days could be numbered if Copilot Pro does become a reality. The code contains references to a "pay wall upsell" option, which suggests that Microsoft is planning its equivalent of ChatGPT Plus. The latter currently costs $20 / £16 / AU$28 per month. Those strings of code discovered in Edge also give us hints of what kind of features a Copilot Pro subscription might give us. These include access to the newest AI models (in other words, ChatGPT's GPT-4 Turbo), priority server access, and "high-quality" image generation. While it seems likely that a free Copilot tier will continue to be available, the days of Microsoft giving us quite so many free AI perks, then, could be drawing to a close. Plus points (Image credit: Microsoft) The arrival of a ChatGPT Pro subscription has always been a matter of when rather than if, when you consider how much its costs to run an AI assistant on the scale of Microsoft Copilot. In the case of ChatGPT, some estimates suggest the computer hardware costs could be as high as $700,000 a day. This is why ChatGPT launched its Plus subscription in February 2023 – and, a year on, it looks like Microsoft Copilot Pro could soon be following in that paid model's footsteps. Unfortunately, that could mean the free version of Copilot becoming a bit dumber, as that version currently gives you access to ChatGPT's latest models and also Dall-E 3 image generation. Hopefully, some of Copilot's current restrictions, like being limited to 300 conversations per day, will also be eased in the Pro version. While we don't yet know when this Copilot Pro tier might launch, it looks like we could find out very soon. You might also like Microsoft is planning to make Copilot launch when Windows 11 starts - and it could spark the next user backlashWindows keyboards get their biggest change for 30 years – a new Copilot AI keyMicrosoft hopes Android users ditch Chrome for Edge by powering up Copilot View the full article

Now AWS gets a ChatGPT-style Copilot: Amazon Q to be your cloud chat assistantView the full article

This is a comprehensive guide for Microsoft 365 Copilot. Learn more about the release date, pricing, benefits and more.View the full article

What methodology (and metrics) should you use to accurately assess the impact on productivity and value delivery of a tool like GitHub Copilot?View the full article

Today, AWS Copilot announced the release of version 1.8. With this release, AWS Copilot now allows you to configure a friendly DNS name for your load balanced web services deployed with Amazon Elastic Container Service (Amazon ECS) Customers can now provide a friendly DNS name, such as api.example.com, directly in the manifest file and Copilot will provision and manage the necessary infrastructure to associate the domain name with the application load balancer. View the full article

Today, the AWS Copilot CLI for Amazon Elastic Container Service (Amazon ECS) launched version 0.5.0. Starting with this release, you can deploy applications or jobs that need to run only on a particular schedule. AWS Copilot has built in timeouts and retries to provide more flexibility for how your scheduled jobs run. AWS Copilot will also deploy all the required infrastructure and settings, while you just provide the application and the schedule to be run. This allows you to focus on development instead of manually setting up rules and infrastructure to ensure your scheduled jobs run when needed. View the full article