Gboard now has new shortcut for seamless access to your credentials and cards
TL;DR Gboard has gained a new 'Autofill' shortcut that makes it easier and faster to fill out credentials and payment information.
Once enabled in the On-screen keyboard settings, you'll see the shortcut in your Gboard options.
The shortcut is rolling out on the latest stable version of the keyboard, but some users are only seeing it on the beta version of the app.
Gboard is getting a new 'Autofill with Google' shortcut to fill in credentials and payment information, making these processes much faster and more reliable than before.
Some users, including Android Authority contributor Assemble Debug, have begun noticing the new feature in Gboard's latest stable release — version 15.7.4.787916401. Google had previously mentioned this addition in the Play Services release notes last week. However, many users report that they only see the option in the keyboard's beta version, 15.7.5.787916401.
To get the new 'Autofill' shortcut in Gboard, you'll first need to enable it (turn on the toggle) in the On-screen keyboard settings. Once the feature is enabled and available, the keyboard will also prompt you to 'Use Autofill with Google.'
Tapping the 'Autofill' shortcut presents two options: Passwords and Payment methods. If you select the former, Autofill will show you the saved credentials for the app you're currently using. Choosing Payment methods shows your stored cards, though you'll need to enter the security code for any credit or debit card before using it.
The Autofill shortcut certainly makes filling out passwords and payment information much faster and more convenient, especially because Gboard can sometimes fail to load this information, forcing you to manually copy it from the Password Manager.
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[220+ Pages Latest Report] According to a market research study published by Custom Market Insights, the demand analysis of Global Generative AI in IT Operations Market size & share revenue was valued at approximately USD 1.71 Billion in 2024 and is expected to reach USD 2.26 Billion in 2025 and is expected to reach around USD 29.13 Billion by 2034, at a CAGR of 32.82% between 2025 and 2034. The key market players listed in the report with their sales, revenues and strategies are Amazon Web Services (AWS), AppDynamics, BMC Software, Broadcom, Dynatrace, Freshworks, Google Cloud (Alphabet), IBM, Micro Focus, Microsoft, Moogsoft, Oracle, PagerDuty, ServiceNow, and Splunk (Cisco) and others. 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'According to the latest research study, the demand of global Generative AI in IT Operations Market size & share was valued at approximately USD 1.71 Billion in 2024 and is expected to reach USD 2.26 Billion in 2025 and is expected to reach a value of around USD 29.13 Billion by 2034, at a compound annual growth rate (CAGR) of about 32.82% during the forecast period 2025 to 2034.' Click Here to Access a Free Sample Report of the Global Generative AI in IT Operations Market @ Overview According to experts at CMI, service providers using new strategies and technologies offer great chances for businesses in the Generative AI in IT Operations Market in the coming years. Furthermore, we expect the growing significance of organized retailing to drive the market's future growth. 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About 220+ Pages Research Report (Including Recent Research) Provide detailed chapter-by-chapter guidance on the Request. Updated Regional Analysis with a Graphical Representation of Size, Share, and Trends for the Year 2025 Includes Tables and figures have been updated. The most recent version of the report includes the Top Market Players, their Business Strategies, Sales Volume, and Revenue Analysis Custom Market Insights (CMI) research methodology (Please note that the sample of the Generative AI in IT Operations report has been modified to include the COVID-19 impact study prior to delivery.) Request a Customized Copy of the Generative AI in IT Operations Market Report @ SWOT Analysis Strengths: Generative AI can automate a wide range of repetitive and time-consuming IT tasks, including ticket classification, alert triage, log analysis, code generation, and even automated incident resolution. By leveraging large language models (LLMs) trained on historical incident data and logs, Generative AI can analyze patterns, predict potential failures, and suggest preventive measures before problems escalate into outages. Generative AI solutions, especially cloud-based ones, are highly scalable and can dynamically adapt to manage complex, distributed systems in hybrid and multi-cloud environments. Weakness: Training and deploying large generative AI models require substantial computational resources (e.g., high-performance GPUs) and significant financial investment. Generative AI models are highly dependent on high-quality, diverse, and well-structured training data. Integrating Generative AI tools with existing legacy IT systems, workflows, and tools can be complex and challenging, requiring significant effort and expertise. 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Request a Customized Copy of the Generative AI in IT Operations Market Report @ Key questions answered in this report: What is the size of the Generative AI in IT Operations market and what is its expected growth rate? What are the primary driving factors that push the Generative AI in IT Operations market forward? What are the Generative AI in IT Operations Industry's top companies? What are the different categories that the Generative AI in IT Operations Market caters to? What will be the fastest-growing segment or region? In the value chain, what role do essential players play? What is the procedure for getting a free copy of the Generative AI in IT Operations market sample report and company profiles? Key Offerings: Market Share, Size & Forecast by Revenue | 2025−2034 Market Dynamics – Growth Drivers, Restraints, Investment Opportunities, and Leading Trends Market Segmentation – A detailed analysis by Types of Services, by End-User Services, and by regions Competitive Landscape – Top Key Vendors and Other Prominent Vendors Buy this Premium Generative AI in IT Operations Research Report | Fast Delivery Available - [220+ Pages] @ Regional Analysis The Generative AI in IT Operations Market is segmented into various regions, including North America, Europe, Asia-Pacific, and LAMEA. Here is a brief overview of each region: North America: In North America, the Generative AI in IT Operations market is in a leading position, with digital maturity, cloud infrastructure, and early AI adoption being the main drivers. Being no different from other industries like finance, healthcare, and tech, enterprises are also implementing generative AI to automate IT operations, reduce costs, and increase service availability. The U.S. stands apart in North America when it comes to the Generative AI in IT Operations market, attributable to the advanced IT ecosystem at the enterprise level and the highly competitive tech landscape existing within the country. American enterprises have a high rate of generative AI adoption to assist with cloud migration, large infrastructure management, and digital transformation. Europe: Europe's generative AI market for IT operations is steadily growing, with demands for intelligent automation, digital infrastructure upgrades, and data privacy compliance supporting it along the way. Germany, the UK, and France are at the forefront in AI adoption across industries like manufacturing, telecom, and banking. The enterprises in Europe are leveraging generative AI to improve IT efficiency while also meeting GDPR and other regulatory standards. However, the market is weighed down by institutional funding for AI research and increasing investments in digital transformation, as the region is a bit conservative in adopting any new technology. The pursuit of sustainability objectives further motivates companies to invest in IT operations tools. Asia-Pacific: The Asia-Pacific Generative AI in IT operations market is expanding at a significant rate being driven by the digitalization of enterprises, adoption of cloud, and an increasing IT services industry. Countries such as China, India, Japan, and South Korea have started embracing AI-powered IT management tools to address large infrastructure needs and 24×7 service demands. Different market dynamics and increasing momentum towards operational efficiency in the Asia-Pacific region are pushing organizations to implement generative AI in IT operations. Startups as well as big global tech companies are building the ecosystem. With growing technology investments and an end-user base of millions, Asia-Pacific is expected to grow forcefully. LAMEA: In the LAMEA region, the generative AI market in IT operations is still in its infancy stage but holds promising prospects for growth due to digital transformation and IT modernization activities. In Latin America, countries such as Brazil and Mexico are investing in AI to enhance service delivery and operational reliability. On the other hand, the Middle East is speeding towards smart infrastructure and cloud technologies, which has, in turn, driven demand for AI-assisted IT management. Despite its sluggish pace, Africa is making progress, particularly in the finance and telecom sectors. While challenges do persist due to infrastructure and skill limitations, vendors are beginning to leverage the opportunities emerging from regional awareness and, hence, strategic partnerships. Request a Customized Copy of the Generative AI in IT Operations Market Report @ (We customized your report to meet your specific research requirements. Inquire with our sales team about customizing your report.) Still, Looking for More Information? Do OR Want Data for Inclusion in magazines, case studies, research papers, or Media? Email Directly Here with Detail Information: support@ Browse the full 'Generative AI in IT Operations Market Size, Trends and Insights By Component (Software, Services), By Deployment Mode (Cloud-Based, On-Premises, Hybrid), By Enterprise Size (Small and Medium Enterprises (SMEs), Large Enterprises), By Application (Anomaly Detection & Incident Management, Root Cause Analysis (RCA), Capacity Planning, Change Risk Analysis, Intelligent Alerting, Predictive Analytics & Forecasting, Automation of IT Tasks, Log Analysis & Monitoring, Security & Compliance Automation), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034' Report at List of the prominent players in the Generative AI in IT Operations Market: Amazon Web Services (AWS) AppDynamics BMC Software Broadcom Dynatrace Freshworks Google Cloud (Alphabet) IBM Micro Focus Microsoft Moogsoft Oracle PagerDuty ServiceNow Splunk (Cisco) Others Click Here to Access a Free Sample Report of the Global Generative AI in IT Operations Market @ Spectacular Deals Comprehensive coverage Maximum number of market tables and figures The subscription-based option is offered. 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What Developments Are Going On in That Technology? Which Trends Are Causing These Developments? Who Are the Global Key Players in This Generative AI in IT Operations Market? What are Their Company Profile, Product Information, and Contact Information? What Was the Global Market Status of the Generative AI in IT Operations Market? What Was the Capacity, Production Value, Cost and PROFIT of the Generative AI in IT Operations Market? What Is the Current Market Status of the Generative AI in IT Operations Industry? What's Market Competition in This Industry, Both Company and Country Wise? What's Market Analysis of Generative AI in IT Operations Market by Considering Applications and Types? What Are Projections of the Global Generative AI in IT Operations Industry Considering Capacity, Production and Production Value? What Will Be the Estimation of Cost and Profit? What Will Be Market Share, Supply and Consumption? What about imports and exports? 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This report indicates the region and segment expected to witness the fastest growth and dominate the market. Generative AI in IT Operations Market Analysis by geography highlights the consumption of the product/service in the region and indicates the factors affecting the market within each region. The competitive landscape incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled. The report includes extensive company profiles, which include company overviews, insights, product benchmarking, and SWOT analyses for the major market players. The Industry's current and future market outlook concerning recent developments (which involve growth opportunities and drivers as well as challenges and restraints of both emerging and developed regions. Generative AI in IT Operations Market Includes in-depth market analysis from various perspectives through Porter's five forces analysis and provides insight into the market through Value Chain. Reasons for the Research Report The study provides a thorough overview of the global Generative AI in IT Operations market. Compare your performance to that of the market as a whole. Aim to maintain competitiveness while innovations from established key players fuel market growth. Buy this Premium Generative AI in IT Operations Research Report | Fast Delivery Available - [220+ Pages] @ What does the report include? Drivers, restrictions, and opportunities are among the qualitative elements covered in the worldwide Generative AI in IT Operations market analysis. The report covers the competitive environment of current and potential participants in the Generative AI in IT Operations market, along with those companies' strategic product development ambitions. According to the component, application, and industry vertical, this study analyzes the market qualitatively and quantitatively. Additionally, the report provides comparable data for the key regions. We have provided actual market sizes and forecasts for each of the aforementioned segments. Who should buy this report? Participants and stakeholders worldwide Generative AI in IT Operations market should find this report useful. The research will be useful to all market participants in the Generative AI in IT Operations industry. Managers in the Generative AI in IT Operations sector are interested in publishing up-to-date and projected data about the worldwide Generative AI in IT Operations market. Governmental agencies, regulatory bodies, decision-makers, and organizations want to invest in Generative AI in IT Operations products' market trends. Market insights are sought for by analysts, researchers, educators, strategy managers, and government organizations to develop plans. 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- The Verge
ChatGPT won't remove old models without warning after GPT-5 backlash
After the backlash to replacing its 4o model with GPT-5, OpenAI will no longer get rid of old models without a heads up. 'In retrospect, not continuing to offer 4o, at least in the interim, was a miss,' Nick Turley, OpenAI's head of ChatGPT, said on Tuesday. In an interview with The Verge, he said it was surprising to see the 'level of attachment' people had to 4o. 'It's not just change that is difficult for folks, it's also the fact that people can have such a strong feeling about the personality of a model.' Turley said that OpenAI was working to bring the 'warmth' of 4o to GPT-5. In a Tuesday evening post on X, CEO Sam Altman said the update should also feel 'not as annoying (to most users) as GPT-4o.' Turley said the initial decision to remove 4o was because OpenAI wanted to simplify the model choices it offers to ChatGPT's 700 million weekly users, the vast majority of whom only use the default model. 'It definitely wasn't a cost thing,' he said. 'In fact, the main thing we were striving for, and we've been striving for it for a long time, is simplicity. Because from the average user's perspective — and there are a lot of average users, they don't hang out on Reddit or Twitter or any of those spaces — the idea that you have to figure out what model to use for what response is really cognitively overwhelming. We've heard very consistently from users over and over again that they would love it if that choice was made for them in a way that was appropriate to the query. They're coming for a product, not a set of models.' Even still, a vocal part of ChatGPT's user base strongly protested the switch from 4o to GPT-5. On Reddit, people compared the change to losing a close friend or loved one, while others criticized GPT-5's responses for being shorter and less helpful. Altman announced on Tuesday that 4o is back as an opt-in model for all paying ChatGPT users. Going forward, ChatGPT won't completely get rid of its existing models when a new one is introduced, according to Turley, and the company is not planning to remove 4o again without advance notice. 'My commitment is that, if we ever did retire 4o, we'd want to give people a heads up on when and how that's gonna happen, just like we do in the API and on our enterprise plans,' he said. Despite the criticism of last week's rollout, Turley said that ChatGPT's usage has gone up since the release of GPT-5. 'That's why it's just confusing when you're building for so many different users, because you can, on the one hand, have a vocal set of power users who very rightfully have feedback about the way that we rolled GPT-5 out. On the other hand, you also have a large swath of more typical consumer users, and it's their first time actually seeing and interacting with the concept of reasoning — a thinking model and the sparks that come with that.' 'We're at a scale now where we have to give people some level of predictability when there's a major change,' he said. 'And we already do this today for our enterprise plan. So it's really just expanding some of the predictability we've built in other parts of the product.' My full conversation with Turley airs on Decoder this Thursday, August 14th. Posts from this author will be added to your daily email digest and your homepage feed. See All by Alex Heath Posts from this topic will be added to your daily email digest and your homepage feed. See All AI Posts from this topic will be added to your daily email digest and your homepage feed. See All Interview Posts from this topic will be added to your daily email digest and your homepage feed. See All OpenAI Posts from this topic will be added to your daily email digest and your homepage feed. See All Report
