NVIDIA has been raking in lots of cash this year and hit a major milestone back in late May, with a trillion dollar valuation—its stock price doubled thanks to upward trends in the artificial intelligence market, with growing global demand for AI-hardware. Business Insider believes that Team Green will continue to do very well for itself over the next couple of years: "Mizuho analyst Vijay Rakesh has given NVIDIA's stock price another 20% upside to run—and even this new target of $530 is "conservative," according to a Sunday client note seen by Insider. Rakesh's previous price target for NVIDIA was $400. NVIDIA shares closed 0.7% higher at $446.12 apiece on Monday. The stock has surged 205% so far this year."

Despite the emergence of competing hardware from the likes of AMD and Intel, Rakesh predicts that NVIDIA will maintain a dominant position in the AI chip market until at least 2027: "With demand for generative AI accelerating, we see significant opportunities for hardware suppliers powering the higher compute needs for large-language models, particularly AI powerhouse NVIDIA. Insider reports that the company: "could generate around $300 billion in AI-specific revenue by 2027 with a 75% market share of AI server units...That's 10 times his projection of $25 billion to $30 billion in AI revenues this year." Rakesh has reportedly stuck with a $140 buy rating and price target for AMD shares.

Cerebras Systems, the pioneer in accelerating generative AI, and G42, the UAE-based technology holding group, today announced Condor Galaxy, a network of nine interconnected supercomputers, offering a new approach to AI compute that promises to significantly reduce AI model training time. The first AI supercomputer on this network, Condor Galaxy 1 (CG-1), has 4 exaFLOPs and 54 million cores. Cerebras and G42 are planning to deploy two more such supercomputers, CG-2 and CG-3, in the U.S. in early 2024. With a planned capacity of 36 exaFLOPs in total, this unprecedented supercomputing network will revolutionize the advancement of AI globally.

"Collaborating with Cerebras to rapidly deliver the world's fastest AI training supercomputer and laying the foundation for interconnecting a constellation of these supercomputers across the world has been enormously exciting. This partnership brings together Cerebras' extraordinary compute capabilities, together with G42's multi-industry AI expertise. G42 and Cerebras' shared vision is that Condor Galaxy will be used to address society's most pressing challenges across healthcare, energy, climate action and more," said Talal Alkaissi, CEO of G42 Cloud, a subsidiary of G42.

Mark Papermaster, AMD's Chief Technology Officer and Executive Vice President of Technology and Engineering announced: "Over the past 50 years, Ethernet has grown to dominate general networking. One of its key strengths is flexibility - the ability to adapt to different workloads, scale and computing environments. One of the places that it hasn't been well-known, though, is in high-performance networking environments.

Now, the Ultra Ethernet Consortium (UEC) was formed by leading technology companies to focus on tuning the Ethernet foundation for high-performance Artificial Intelligence, Machine Learning, and High-Performance Computing (AI/ML/HPC) workloads. This includes work at the Physical, Link, Transport, and Software layers with robust security and congestion protections.

Announced today, Ultra Ethernet Consortium (UEC) is bringing together leading companies for industry-wide cooperation to build a complete Ethernet-based communication stack architecture for high-performance networking. Artificial Intelligence (AI) and High-Performance Computing (HPC) workloads are rapidly evolving and require best-in-class functionality, performance, interoperability and total cost of ownership, without sacrificing developer and end-user friendliness. The Ultra Ethernet solution stack will capitalize on Ethernet's ubiquity and flexibility for handling a wide variety of workloads while being scalable and cost-effective.

Ultra Ethernet Consortium is founded by companies with long-standing history and experience in high-performance solutions. Each member is contributing significantly to the broader ecosystem of high-performance in an egalitarian manner. The founding members include AMD, Arista, Broadcom, Cisco, Eviden (an Atos Business), HPE, Intel, Meta and Microsoft, who collectively have decades of networking, AI, cloud and high-performance computing-at-scale deployments.

Google has notified the world about its AI chatbot, Bard, getting a wider release and new features—with a rollout across Europe (27 territories), plus the addition of Brazil: "Today we're announcing Bard's biggest expansion to date. It's now available in most of the world, and in the most widely spoken languages. And we're launching new features to help you better customize your experience, boost your creativity and get more done." Their updated system is available now, so users "can collaborate with Bard in over 40 languages." A spoken response function has been implemented which is advertised as being very "helpful if you want to hear the correct pronunciation of a word or listen to a poem or script. Simply enter a prompt and select the sound icon to hear Bard's answers."

Jack Krawczyk, Bard Product Lead, and Amarnag Subramanya, Bard's VP of Engineering made sure to mention that Google is covering its bases, since privacy issues have delayed Bard's ability to reach new places (now mostly in the past): "As part of our bold and responsible approach to AI, we've proactively engaged with experts, policymakers and privacy regulators on this expansion. And as we bring Bard to more regions and languages over time, we'll continue to use our AI Principles as a guide, incorporate user feedback, and take steps to protect people's privacy and data." The initial "trial" period was restricted to the USA and UK, when Google launched Bard back in March.

Artificial intelligence (AI) has emerged as a transformative force in chip design, with recent examples from China and the United States showcasing its potential. Jensen Huang, CEO of Nvidia, believes that AI can empower individuals to become programmers, while Lisa Su, CEO of AMD, predicts an era where AI dominates chip design. During the 2023 World Artificial Intelligence Conference (WAIC) in Shanghai, Su emphasized the importance of interdisciplinary collaboration for the next generation of chip designers. To excel in this field, engineers must possess a holistic understanding of hardware, software, and algorithms, enabling them to create superior chip designs that meet system usage, customer deployment, and application requirements.

The integration of AI into chip design processes has gained momentum, fueled by the AI revolution catalyzed by large language models (LLMs). Both Huang and Mark Papermaster, CTO of AMD, acknowledge the benefits of AI in accelerating computation and facilitating chip design. AMD has already started leveraging AI in semiconductor design, testing, and verification, with plans to expand its use of generative AI in chip design applications. Companies are now actively exploring the fusion of AI technology with Electronic Design Automation (EDA) tools to streamline complex tasks and minimize manual intervention in chip design. Despite limited data and accuracy challenges, the "EDA+AI" approach holds great promise. For instance, Synopsys has invested significantly in AI tool research and recently launched Synopsys.ai, the industry's first end-to-end AI-driven EDA solution. This comprehensive solution empowers developers to harness AI at every stage of chip development, from system architecture and design to manufacturing, marking a significant leap forward in AI's integration into chip design workflows.

A new global study by the IBM Institute for Business Value found that nearly half of CEOs surveyed identify productivity as their highest business priority—up from sixth place in 2022. They recognize technology modernization is key to achieving their productivity goals, ranking it as second highest priority. Yet, CEOs can face key barriers as they race to modernize and adopt new technologies like generative AI.

The annual CEO study, CEO decision-making in the age of AI, Act with intention, found three-quarters of CEO respondents believe that competitive advantage will depend on who has the most advanced generative AI. However, executives are also weighing potential risks or barriers of the technology such as bias, ethics and security. More than half (57%) of CEOs surveyed are concerned about data security and 48% worry about bias or data accuracy.

The European parliament has voted today on a proposed set of rules that aim to govern artificial intelligence development in the region. The main branch has approved the text of draft of this legislation—a final tally showed participant counts of 499 in favor, and 28 against, and 93 abstentions at the Strasbourg HQ-based meeting. The so called "AI Act" could be a world first as well as a global standard for regulation over AI technology—members of the European Parliament (MEPs) are expected to work on more detailed specifics with all involved countries before new legislation is set in stone.

Thierry Breton, the European commissioner for the internal market stated today: "AI raises a lot of questions socially, ethically, economically. But now is not the time to hit any 'pause button'. On the contrary, it is about acting fast and taking responsibility." The council is aiming to gain control of several fields of AI applications including drone operation, automated medical diagnostic equipment, "high risk" large language models and deepfake production methods. Critics of AI have reasoned that uncontrolled technological advancements could enable computers to perform tasks faster than humans—thus creating the potential for large portions of the working population to become redundant.

OpenAI's CEO, Sam Altman, is currently exploring the UK and Europe on a PR-related "mini" world tour, and protesters have been following these proceedings with much interest. UK news outlets have reported that a demonstration took place outside of a university building in London yesterday, where the UCL Events organization hosted Altman as part of a fireside discussion about the benefits and problems relating to advanced AI systems. Attendees noted that Altman expressed optimism about AI's potential for the creation of more jobs and reduction in inequality - despite calls for a major pause on development. He also visited 10 Downing Street during the British leg of his PR journey - alongside other AI company leaders - to talk about potential risks (originating from his industry) with the UK's prime minister. Discussed topics were reported to include national security, existential threats and disinformation.

At the UCL event, Altman touched upon his recent meetings with European regulators, who are developing plans for advanced legislation that could lead to targeted laws (applicable to AI industries). He says that his company is "gonna try to comply" with these potential new rules and agrees that some form of regulation is necessary: "something between the traditional European approach and the traditional US approach" would be preferred. He took issue with the potential branding of large AI models (such as OpenAI's ChatGPT and GPT-4 applications) as "high risk" ventures via the European Union's AI Act provisions: "Either we'll be able to solve those requirements or not...If we can comply, we will, and if we can't, we'll cease operating… We will try. But there are technical limits to what's possible."

We wouldn't be where we are today without the developer community. Together, we've been on a journey to reimagine an open app store and provide a better experience for Windows customers. It's because of this partnership that the Microsoft Store on Windows is now used by over one billion customers with more than 50% of new Windows 11 customers engaging with the Microsoft Store in the first 30 days. The momentum of Windows customers is a testament to the growth in quality content from our passionate community of developers, who have more than doubled the number of Win32 and PWA apps since last year.

Engaging PWAs like Snapchat and ESPN, sophisticated native apps like Spark Mail, Adobe Photoshop and Lightroom, Capture One, Bilibili and WhatsApp, along with Android apps like Epic Seven, Best Fiends, and Blink, are truly what makes the Microsoft Store the best place to find the right content, whether for productivity, entertainment or creativity. There are many more apps to recognize, including the winners of the Microsoft Store Awards 2023 which can be found here. We are proud to share the next phase of our journey for the Microsoft Store on Windows and announce new experiences, features and tools. We are focused on building an open store that is ready for the new AI era, and to provide developers with new tools like Microsoft Store Ads to reach even more customers.

Dell Technologies and NVIDIA announce a joint initiative to make it easier for businesses to build and use generative AI models on-premises to quickly and securely deliver better customer service, market intelligence, enterprise search and a range of other capabilities. Project Helix will deliver a series of full-stack solutions with technical expertise and pre-built tools based on Dell and NVIDIA infrastructure and software. It includes a complete blueprint to help enterprises use their proprietary data and more easily deploy generative AI responsibly and accurately.

"Project Helix gives enterprises purpose-built AI models to more quickly and securely gain value from the immense amounts of data underused today," said Jeff Clarke, vice chairman and co-chief operating officer, Dell Technologies. "With highly scalable and efficient infrastructure, enterprises can create a new wave of generative AI solutions that can reinvent their industries."

"We are at a historic moment, when incredible advances in generative AI are intersecting with enterprise demand to do more with less," said Jensen Huang, founder and CEO, NVIDIA. "With Dell Technologies, we've designed extremely scalable, highly efficient infrastructure that enables enterprises to transform their business by securely using their own data to build and operate generative AI applications."

Panos Panay, Chief Product Officer, Windows and Devices: "The team and I are pumped to be back at Build with the developer community this year. Over the last year, Windows has continued to see incredible growth fueled by Windows 11 adoption. In fact, one of the most exciting areas driving that growth for Windows has been developers themselves, with a 24% YoY increase in monthly devices used for development."

"AI is the defining technology of our time and developers are at the forefront of this transformation. With the right tools we can empower developers and our shared customers to shape the future and leave their mark on the world. We are just starting to see the incredible impact AI is having across industries and in our own daily lives. Today, the team and I are excited to share the next steps we are taking on our journey with Windows 11, to meet this new age of AI."

We are pleased to announce that we have raised $450 million in Series C funding led by Spark Capital with participation from Google, Salesforce Ventures, Sound Ventures, Zoom Ventures, and others. The funding will support our continued work developing helpful, harmless, and honest AI systems—including Claude, an AI assistant that can perform a wide variety of conversational and text processing tasks.

Anthropic was founded to build AI products that people can rely on and generate research about the opportunities and risks of AI. Our CEO, Dario Amodei, says, "We are thrilled that these leading investors and technology companies are supporting Anthropic's mission: AI research and products that put safety at the frontier. The systems we are building are being designed to provide reliable AI services that can positively impact businesses and consumers now and in the future."

Natural disasters, like flooding, are increasing in frequency and intensity due to climate change, threatening people's safety and livelihood. It's estimated that flooding affects more than 250 million people globally each year and causes around $10 billion in economic damages.

As part of our work to use AI to address the climate crisis, today we're expanding our flood forecasting capabilities to 80 countries. With the addition of 60 new countries across Africa, the Asia-Pacific region, Europe, and South and Central America, our platform Flood Hub now includes some of the territories with the highest percentages of population exposed to flood risk and experiencing more extreme weather, covering 460 million people globally.

System Shock 2: Enhanced Edition was created with the goal of reverse engineering the original code to port SS2 (1999) to the KEX Engine and made available on next-generation consoles for the first time. Nightdive Studios has also partnered with the systemshock.org community to integrate all the best mods and updates. All cinematics, textures, characters and weapon models have been updated, and the Co-Op Multiplayer has been overhauled to create a seamless experience.

"Remember, it is my will that guided you here. It is my will that gave you your cybernetic implants, the only beauty in that meat you call a body. If you value that meat... you will do as I tell you." The cult classic sci-fi horror FPS-RPG has returned...

In its recent Second Quarter of the Fiscal Year 2023 conference, Synopsys issued interesting information about the recent moves of chip developers and their usage of artificial intelligence. As the call notes, over 200+ chips have been taped out using Synopsys DSO.ai place-and-route (PnR) tool, making it a successful commercially proven AI chip design tool. The DSO.ai uses AI to optimize the placement and routing of the chip's transistors so that the layout is compact and efficient with regard to the strict timing constraints of the modern chip. According to Aart J. de Geus, CEO of Synopsys, "By the end of 2022, adoption, including 9 of the top 10 semiconductor vendors have moved forward at great speed with 100 AI-driven commercial tape-outs. Today, the tally is well over 200 and continues to increase at a very fast clip as the industry broadly adopts AI for design from Synopsys."

This is an interesting fact that means that customers are seeing the benefits of AI-assisted tools like DSO.ai. However, the company is not stopping there, and a whole suite of tools is getting an AI makeover. "We unveiled the industry's first full-stack AI-driven EDA suite, sydnopsys.ai," noted the CEO, adding that "Specifically, in parallel to second-generation advances in DSO.ai we announced VSO.ai, which stands for verification space optimization; and TSO.ai, test space optimization. In addition, we are extending AI across the design stack to include analog design and manufacturing." Synopsys' partners in this include NVIDIA, TSMC, MediaTek, Renesas, and IBM Research, all of which used AI-assisted tools for chip design efforts. A much wider range of industry players is expected to adopt these tools as chip design costs continue to soar as we scale the nodes down. With future 3 nm GPU costing an estimated $1.5 billion, 40% of that will account for software, and Synopsys plans to take a cut in that percentage.

Geoffrey Hinton, British-Canadian psychologist, computer scientist, and 2018 Turing Award winner in deep learning, has departed the Google Brain team after a decade-long tenure. His research on AI and neural networks dating back to the 1980s has helped shape the current landscape of deep learning, neural processing, and artificial intelligence algorithms with direct and indirect contributions over the years. 2012's AlexNet, designed and developed in collaboration with his students Alex Krizhevsky and Ilya Sutskever, formed the modern backbone of computer vision and AI image recognition used today in Generative AI. Hinton joined Google when the company won the bid for the tiny startup he and his two students formed in the months following the reveal of AlexNet. Ilya Sutskever left their cohort at Google in 2015 to become co-founder and Chief Scientist of OpenAI; creators of ChatGPT and one of Google's most prominent competitors.

In an interview with the New York Times Hinton says that he quit his position at Google so that he may speak freely about the risks of AI, and that a part of him regrets his life's work in the field. He said that during his time there Google has acted as a "proper steward" of AI development, and was careful about releasing anything that might be harmful. His viewpoint on the industry shifted within the last year as Microsoft's Bing Chat took shots at Google's core business, the web browser, leading to Google being more reactionary than deliberate in response with Bard. The concern arises that as these companies battle it out for AI supremacy they won't take proper precautions against bad-faith actors using the technologies to flood the internet with false photos, text, and even videos. That the average person would no longer be able to tell what was real, and what was manufactured by AI prompt.

Galactic Civilizations IV: Supernova is a 4X turn-based strategy game set in the 24th century where you take on the role of leading a spacefaring civilization that has just developed faster-than-light (FTL) travel. You begin the game with only your home planet and must research new technologies, explore the known galaxy, and colonize new worlds while keeping your people at home happy. At the same time, you will engage in trade, diplomacy, intrigue and war with other alien civilizations. Thanks to the invention of hyperdrive, your people are now ready to discover new worlds, encounter alien civilizations, and learn about the dark history that encompasses them all.

Stardock has released the latest sequel of its award-winning space strategy game series today into early access. Galactic Civilizations IV: Supernova sees the player as the ruler of a united home world that has just discovered faster-than-light travel. Galactic Civilizations IV: Supernova continues a 30-year trend of innovation in the series. This latest sequel introduces AI-generated content OpenAI's ChatGPT technology allowing players to create their own civilizations that uses AI to create the lore, conversation dialogs, quests and more. The game also uses AI, trained on decades of Stardock's alien art to deliver custom graphics for their custom civilization.

NVIDIA's H100 has recently become available to use via Cloud Service Providers (CSPs), and it was only a matter of time before someone decided to benchmark its performance and compare it to the previous generation's A100 GPU. Today, thanks to the benchmarks of MosaicML, a startup company led by the ex-CEO of Nervana and GM of Artificial Intelligence (AI) at Intel, Naveen Rao, we have some comparison between these two GPUs with a fascinating insight about the cost factor. Firstly, MosaicML has taken Generative Pre-trained Transformer (GPT) models of various sizes and trained them using bfloat16 and FP8 Floating Point precision formats. All training occurred on CoreWeave cloud GPU instances.

Regarding performance, the NVIDIA H100 GPU achieved anywhere from 2.2x to 3.3x speedup. However, an interesting finding emerges when comparing the cost of running these GPUs in the cloud. CoreWeave prices the H100 SXM GPUs at $4.76/hr/GPU, while the A100 80 GB SXM gets $2.21/hr/GPU pricing. While the H100 is 2.2x more expensive, the performance makes it up, resulting in less time to train a model and a lower price for the training process. This inherently makes H100 more attractive for researchers and companies wanting to train Large Language Models (LLMs) and makes choosing the newer GPU more viable, despite the increased cost. Below, you can see tables of comparison between two GPUs in training time, speedup, and cost of training.

At the turn of the 1980s, most PC adventure games were played using only the keyboard. In those days, adventure games didn't use action menus like more modern games, but simply presented the player with a command line where they could freely input text to decide the actions that characters would take and proceed through the story. Free text input systems like these allowed players to feel a great deal of freedom. However, they did come with one common source of frustration: players knowing what action they wanted to perform but being unable to do so because they could not find the right wording. This problem was caused by the limitations of PC performance and NLP technology of the time.

40 years have passed since then, and PC performance has drastically improved, as have the capabilities of NLP technology. Using "The Portopia Serial Murder Case" as a test case, we'd like to show you the capabilities of modern NLP and the impact it can have on adventure games, as well as deepen your understanding of NLP technologies.

Alphabet Incorporated's Google AI division has today revealed a planned update for its Bard conversational artificial intelligence chatbot. The experimental generative artificial intelligence software application will become capable of assisting people in the writing of computer code - the American multinational technology company hopes that Bard will be of great to help in the area of software development. Paige Bailey, a group product manager at Google Research has introduced the upcoming changes: "Since we launched Bard, our experiment that lets you collaborate with generative AI, coding has been one of the top requests we've received from our users. As a product lead in Google Research - and a passionate engineer who still programs every day - I'm excited that today we're updating Bard to include that capability."

The Bard chatbot was made available, on a trial basis, to users in the USA and UK last month. Google's AI team is reported to be under great pressure to advance the Bard chatbot into a suitably powerful state in order to compete with its closest rival - Microsoft Corporation. The Seattle-based giant has invested heavily into Open AI's industry leading ChatGPT application. Google's latest volley against its rivals shows that Bard's has become very sophisticated - so much so that the app is able to chew through a variety of programming languages. Bailey outlines these features in the company's latest blog: "Starting now, Bard can help with programming and software development tasks, including code generation, debugging and code explanation. We're launching these capabilities in more than 20 programming languages including C++, Go, Java, Javascript, Python and Typescript. And you can easily export Python code to Google Colab - no copy and paste required." Critics of AI-driven large language models have posited that the technology could potentially eliminate humans from the job market - it will be interesting to observe the coder community's reaction to Google marketing of Bard as a helpful tool in software development.

EdgeCortix Inc., the innovative Edge Artificial Intelligence (AI) Platform company, focused on delivering class-leading compute efficiency and ultra-low latency for AI inference; announced, it is shipping its industry leading, energy-efficient, turn-key, AI co-processor, branded as the EdgeCortix SAKURA-I, to its global Early Access Program members.

"We are very pleased to be announcing the fulfillment of our first-generation semiconductor solution, the EdgeCortix SAKURA-I AI co-processor. Designed and engineered in Japan, SAKURA-I features up to 40 trillion operations per second (TOPs) of dedicated AI performance at sub-10 watts of power consumption.", said Sakyasingha Dasgupta, CEO and Founder of EdgeCortix, "We are delivering a complete Edge AI platform to our Early Access Program members, comprising both software and hardware solutions, which includes our recently updated MERA software suite. Program members include numerous global industry leading enterprise customers across both the commercial and defense sectors. We developed the EdgeCortix Early Access Program (EAP) with a focus on offering customers the opportunity to assess EdgeCortix's products and services at scale, by deploying them within their own complex, heterogeneous environments. The goal of the EAP offering is three-fold: showcasing the ease of integration into customer's existing heterogeneous systems, enabling customers to prove-out the effectiveness and efficiency of EdgeCortix solutions versus competing products and facilitating a direct dialog with EdgeCortix product management, enabling tailor-made fit in certain cases."

Elon Musk has formed a new AI-focused company, as reported by the Wall Street Journal yesterday. The entity registered under the name X.AI was incorporated via a filing in Nevada last month, and Musk appears to be listed as the company's only director with Jared Birchall joining him under the role of secretary. Birchall heads the Musk family office, Excession LLC, and he serves as CEO of Neuralink - a neurotechnology company that was co-founded by Musk back in 2016. It is widely speculated that Birchall serves as a type of fixer - go watch the TV series "Ray Donovan" if you would like to observe a crude (and obviously fictional) example - in corporate affairs.

Reports emerged earlier this week, with Musk being at the forefront of a massive purchase of GPUs destined to arrive shortly at his data centers - this impressive chunk of hardware is speculated to power AI-related number crunching at Twitter in the near future. The founding of X.AI could provide another home for a portion of the 10,000 GPU order, but industry insiders firmly believe that Twitter will need to tool up quickly for its new AI-driven endeavor - the GPUs will likely be set to work on a ChatBot system to underpin the social media platform. Musk has already recruited researchers from DeepMind and setup a lab for them at one of his operations. It remains to be seen how the X.AI startup will run alongside efforts at other Musk-owned companies - it is theorized that he wants to beat OpenAI at their own game, and compete with similar undertakings at Google, Microsoft and Amazon.

Last Tuesday, Alibaba announced its intentions to put out its own artificial intelligence (AI) chatbot product called Tongyi Qianwen - another rival to take on OpenAI's pioneering ChatGPT natural language processing tool. The Chinese technology giant is hoping to retrofit the new chatbot system into several arms of its business operations. Alibaba had revealed initial plans for chatbot integration earlier this year, and mentioned that it was providing an alternative to the already well established ChatGPT tool. Alibaba's workplace messaging application - DingTalk - is slated to receive the first AI-powered update in the near future, although the company did not provide a firm timeline for Tongyi Qianwen's release window.

The product name "Tongyi Qianwen" loosely translates to "seeking an answer by asking a thousand questions" - Alibaba did not provide an official English language translation at last week's press conference. Their chatbot is reported to function in both Mandarin and English language modes. Advanced AI voice recognition is set for usage in the Tmall Genie range of smart speakers (similar in function to the Amazon Echo). Alibaba expects to expand Tongyi Qianwen's reach into applications relating to e-commerce and mapping services.

Insider sources at Microsoft have spoken of continued efforts to modernize the core of its operating system, with the work-in-progress Windows 12 cited as the ideal candidate for substantial updates. The engineering team is reported to be integrating a modular design, which will allow for a reduced operating system footprint - similar in principle to ChromeOS. According to a Windows Report article the operating system development team is hard at work on a spiritual successor to the abandoned Windows Core OS project. Their newest effort is reported to be called "Windows CorePC" and Microsoft is aiming to hit the same goals it set for its Windows 10X edition, which was cancelled in mid-2021, but they will also target native support for legacy applications on devices that require necessary access.

Windows Core OS was shutdown after years of development and internal testing - it was hoped that a modular Universal Windows Platform-first (UWP-F) operating system would be more lightweight and gain stronger security features, as well as greater access to regular updates. The inside sources stated that Windows Core OS will not be developed any further, at least not for desktop computer purposes. The Microsoft team is anticipating that its new CorePC project will lead onto new configurations of Windows that feature a capability of scaling up and down depending on hardware variations. Windows PCs and devices, in some user case scenarios, do not require full breadth of legacy Win32 application support. CorePC will enable different configurations of Windows to be installed on a custom basis.