Updated May 3

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Satya Nadella shares exciting AI advancements

Microsoft's AI Models: Doubling Performance Every 6 Months!

By OpenTools Team

Microsoft CEO, Satya Nadella, recently revealed that the company's AI model performance is doubling every six months thanks to innovations in pre‑training, inference, and system design. With Azure playing a pivotal role, these advancements showcase a promising future for Microsoft's AI capabilities.

Introduction to Microsoft's AI Advancements

In recent years, Microsoft has made remarkable strides in the field of artificial intelligence. With a focus on enhancing AI model performance, Microsoft's CEO Satya Nadella has boldly declared that the performance of their AI models is doubling every six months. This impressive acceleration is attributed to significant improvements in pre‑training, inference, and system design processes, key components of AI model development (Windows Central). Such rapid progress outpaces traditional growth patterns in technology, positioning Microsoft as a formidable player in the AI landscape."

Central to Microsoft’s AI advancements is its Azure platform. Azure has undergone continuous optimization across its data centers, silicon, and systems software, driving unprecedented growth and efficiency in AI capabilities (Windows Central). This foundation supports innovations like Microsoft 365 Copilot, which has seen its usage triple thanks to enhanced features and customer‑tailored solutions.

Moreover, the relationship between Microsoft and OpenAI signifies a strategic pathway towards AI innovation. Though Microsoft no longer holds exclusive cloud provider status with OpenAI, it maintains a significant role by having the right of first refusal for hosting OpenAI's workloads (Windows Central). This evolving partnership ensures Microsoft remains at the cutting edge of AI advancements, while also preparing for a future of collaborative innovation in this competitive field.

Satya Nadella's Vision: Doubling AI Performance

Under Satya Nadella's leadership, Microsoft has emerged at the forefront of AI innovation, dramatically enhancing its AI model capabilities. According to Windows Central, Nadella has confidently stated that Microsoft’s AI model performance is doubling every six months. This ambitious vision has placed Microsoft in a leading position in the rapidly evolving AI landscape. Such progress is largely driven by advancements in pre‑training, inference, and system design, which are critical components in enhancing AI efficiency and reliability.

Nadella's vision builds heavily on Microsoft's Azure platform, which is integral to these advancements. The infrastructure optimizations within Azure allow for enhanced data center performance, custom silicon developments, and refined system architecture, all contributing to this rapid AI evolution. As noted in Windows Central, this robust foundation supports a seamless deployment of AI models at scale, ensuring Microsoft remains competitive in this technological race.

Moreover, as Microsoft 365 Copilot continues to grow, with its usage tripling over the past year, the fruits of Nadella’s vision are evident. Increasing customer adoption and the introduction of innovative AI solutions within this space showcase the direct benefits of Microsoft's AI model performance enhancements. According to Windows Central, this growth reflects the potential for future technological breakthroughs within Microsoft’s product suite.

Despite some skepticism regarding the rapid pace of AI adaptation that Nadella champions, it is undeniable that Microsoft’s trajectory is setting significant benchmarks for the industry. As Windows Central highlights, the broader implications of this development are manifold, potentially revolutionizing sectors such as automation and data analysis. Additionally, as Microsoft engages with OpenAI, the continuous evolution of their partnership ensures a collaborative approach to solving complex AI challenges.

The Role of Azure in AI Development

Azure, Microsoft's cloud computing platform, plays a pivotal role in AI development by providing the necessary infrastructure and resources to support the creation and deployment of advanced AI models. With its robust network of data centers and cutting‑edge technologies, Azure enables faster pre‑training, inference, and model development, ushering in a new era of AI capabilities. Microsoft's CEO, Satya Nadella, has highlighted how Azure's advancements are integral to the company's AI success, particularly in developing scalable solutions that optimize performance across various layers such as data centers, silicon, systems software, and models. These enhancements have facilitated an ongoing doubling of AI model performance every six months, marking a significant stride in AI evolution.¹

Moreover, the synergy between Azure and Microsoft 365 Copilot is revolutionizing the way businesses leverage AI for productivity and innovation. Microsoft 365 Copilot, which integrates with Azure's comprehensive cloud services, has seen remarkable growth, with usage tripling over the past year due to its ability to harness Azure's robust infrastructure to deliver seamless AI‑powered insights and automation. This collaboration exemplifies Azure's capability to facilitate rapid AI advancements by ensuring optimal performance and reliability. Microsoft's continuous investment in Azure's infrastructure, including custom‑built silicon such as the Azure Maia AI accelerator, reinforces Azure's role as a cornerstone in the development and deployment of sophisticated AI models.¹

Understanding Pre‑Training and Inference Improvements

The pace at which AI model performance is improving at Microsoft is nothing short of extraordinary. As highlighted by CEO Satya Nadella, the doubling of AI capabilities every six months can be primarily attributed to significant advancements in pre‑training and inference processes. These improvements are part of an integrated strategy involving system design enhancements across Microsoft's Azure platform. The underlying technology stack, comprising cutting‑edge data centers, advanced silicon like the Azure Maia AI accelerator, and robust systems software, forms a strong foundation for these capabilities. This synergy allows Microsoft to optimize AI operations effectively, significantly enhancing model pre‑training and inference efficiencies. For instance, through Azure's optimization, the performance gains are realized not only in speed but also in accuracy, thus accelerating the deployment of sophisticated AI models into practical applications, thereby setting a new industry benchmark.

The rapid advancements in Microsoft's AI performance, elucidated by Satya Nadella, are reshaping the landscape of computational capabilities. Thanks to the continuous refinement of pre‑training models, these are now capable of processing vast datasets with increased efficiency and reduced resource consumption. This has been enabled through strategic design improvements, targeting every technical component from Azure's data centers to the custom‑built silicon infrastructures. Furthermore, these advancements are facilitated by comprehensive system integration that leverages AI‑optimized software platforms, enhancing the scalability and adaptability of AI processes. This means the models can learn and predict with unprecedented precision, thereby fostering innovations across various domains, including Microsoft 365 Copilot, which has seen exponential growth in its user base as a direct result of these enhancements.

In light of these technological strides, Microsoft has positioned itself at the forefront of AI advancements, defining new possibilities in model training and inference capabilities. The company's focus on the structural aspects of AI deployment highlights a clear understanding of how system designs can impact AI efficacy. By tightly integrating hardware designs with software solutions, Microsoft can deliver AI models that are not only faster but also smarter. This ongoing development exemplifies the concept of system synergy—where optimizing units in isolation pales in comparison to holistic optimization across all levels. As a result, Microsoft is not just improving AI performance metrics; they are shaping an ecosystem where AI can operate more autonomously and intelligently within the digital framework provided by platforms like Azure.

Such exponential growth in AI capabilities underscores a broader influence on the digital economy and the competitive AI landscape. With Microsoft's model performance doubling biennially, there are consequential ripple effects across industries reliant on intelligent technologies. These improvements translate into faster AI deployment, broader application diversity, and more refined outputs in sectors ranging from healthcare to data analytics. Azure's foundational role ensures that these advancements do not remain confined to research and development but see real‑world applications that promote efficiency and innovation in client operations worldwide. As AI models become more adept at handling complex tasks with less latency and more finesse, they offer transformative potential that could redefine how businesses and services function at their core.

Moreover, the rapid progresses made in inference mechanics not only enhance performance metrics but also highlight Microsoft's strategic emphasis on making AI more accessible and practical for everyday applications. By advancing inference processes, Microsoft aids in reducing the computational load on AI systems, thereby minimizing latency and increasing response times. This advancement is crucial for meeting the demands of modern AI‑driven applications, especially in scenarios requiring real‑time processing and feedback. Hence, Microsoft’s dedication to refining these core components reflects a comprehensive effort to not only keep pace with but also exceed industry standards, reaffirming its leadership position in AI innovation and deployment.

Comparing Microsoft's AI Progress with Industry Standards

Microsoft's progress in artificial intelligence (AI) is exemplified by the statement from CEO Satya Nadella, who confirmed that the company's AI model performance is doubling every six months. This impressive acceleration is largely attributed to advancements in pre‑training, inference, and overall system design, highlighting Azure's crucial role in these developments. Azure's optimization spans across various components, from data centers to custom‑built silicon such as the Azure Maia AI accelerator and Cobalt CPU series, considerably boosting computational efficiency.¹ Such initiatives underscore Microsoft's commitment to consistently pushing the boundaries of AI capabilities, aligning with industry trends of rapid technological evolution.

Comparatively, Microsoft's assertive advancements in AI are setting notable benchmarks within the industry. While the specific performance metrics in comparison to industry averages remain less transparent, the pace of growth reportedly outstripping Moore's Law suggests a profound impact. This growth trajectory is not only a testament to Microsoft's strategic investments and technological enhancements but also places it squarely in competition with other industry leaders. The broader AI landscape continues to experience a surge in adoption, propelled by developments in automation, data processing, and the creation of new AI tools. Microsoft's expansion of the 365 Copilot is a testament to these innovations, with its usage reportedly tripling year‑over‑year.¹

In the context of industry standards, Microsoft's rapid AI advancements symbolize a transformative shift. Unlike many competitors who are still grappling with scalability challenges, Microsoft’s approach, characterized by integrated solutions across Azure and strategic partnerships with firms like OpenAI, demonstrates a forward‑thinking vision. Despite no longer holding exclusive cloud provider status, Microsoft's reserved "right of first refusal" for hosting OpenAI workloads exemplifies its dedication to remaining at the forefront of AI development.¹ This evolution underscores a broader narrative within the tech industry: the continuous race for AI supremacy where Microsoft’s efforts place it among the upper echelons of tech innovators.

Partnership with OpenAI: Current Dynamics

The partnership between Microsoft and OpenAI continues to evolve, reflecting the dynamic and competitive landscape of the AI industry. Although Microsoft no longer holds exclusive cloud provider status, it retains a significant advantage through its 'right of first refusal' for hosting OpenAI workloads. This agreement underscores Microsoft's ongoing commitment to leverage OpenAI's innovative IP within its AI development framework. The strategic alliance aims to synergize Microsoft's robust cloud infrastructure with OpenAI's cutting‑edge research and technological advancements.¹

Microsoft's partnership with OpenAI exemplifies the company's forward‑looking approach to AI integration and development. By capitalizing on OpenAI's pioneering advances, Microsoft strengthens not only its technological capabilities but also its market position within the rapidly evolving AI space. This collaboration enhances Microsoft's portfolio, particularly in sectors that require advanced AI applications, such as natural language processing and machine learning, thereby ensuring a competitive edge.¹

The continuation of Microsoft's collaboration with OpenAI amidst the shifting dynamics of the AI market signifies an adaptive strategy. Despite losing the exclusivity of cloud services for OpenAI, Microsoft remains poised to harness the collective expertise and resources that this partnership brings. The integration with OpenAI's innovations facilitates the development of advanced AI tools and solutions, such as Microsoft's own 365 Copilot, which has seen remarkable growth in adoption and capabilities.¹

Addressing Criticism: Copilot's Evolution

Microsoft's Copilot has undergone significant transformation, particularly in response to previous criticisms that labeled it as 'gimmicky.' These critiques centered on the perceived inefficacy and limited real‑world application of the tool. However, according to Microsoft CEO Satya Nadella, the company's concerted efforts in system redesign and AI optimization have led to a doubling in the performance of their AI models every six months, marking substantial progress.¹

This evolution in Copilot's capabilities is largely attributed to Microsoft's robust investment in its Azure platform. Azure's infrastructure, with its custom‑built silicon and advanced inference systems, has provided the necessary backbone for these advancements. Nadella emphasizes that these improvements are not just about enhancing performance but also increasing the practical utility of AI tools like Copilot in various industries.¹

The growing adoption of Microsoft 365 Copilot indicates a shift in public perception, moving from skepticism to acceptance as new features and integrations prove their worth in boosting productivity and streamlining workflows. This change in perception is bolstered by the tripling of usage year‑over‑year, showcasing Microsoft's successful turnaround in making Copilot a more valuable and efficient tool for businesses worldwide.¹

Critics who previously questioned the efficacy of Microsoft's AI tools now observe a more mature and reliable suite of offerings, fostering a positive outlook for future enhancements. The systematic improvements and doubled performance metrics every six months underline Microsoft's commitment to addressing earlier shortcomings and spearheading innovation in the AI domain.¹

The partnership between Microsoft and OpenAI also plays a crucial role in this evolution. Although the loss of exclusive rights to utilize OpenAI's technology presented challenges, it also propelled Microsoft's strategic priorities towards strengthening their AI capabilities independently. This shift indicates Microsoft's robust planning and ability to adapt within the competitive AI landscape, ensuring its tools like Copilot remain at the forefront of technological innovation.¹

Implications of Rapid AI Performance Growth

The rapid growth in AI model performance, as described by Microsoft's CEO Satya Nadella, points to the transformative potential of advanced AI technologies. Microsoft reports that its AI capabilities are doubling every six months thanks to innovations in pre‑training, inference, and system design—a pace that exceeds even the historical expectations set by Moore's Law. This unprecedented acceleration, primarily supported by Azure's integrated infrastructure improvements, facilitates more efficient and powerful AI applications. These technological advancements not only enhance existing products like Microsoft 365 Copilot but also open new avenues for developing cutting‑edge AI solutions. As highlighted in Microsoft's trajectory, such rapid progress may redefine the competitive landscape, compelling other companies to innovate or risk falling behind in the AI race.¹

The implications of doubling AI model performance every half‑year are profound, impacting multiple sectors and the broader economy. Economically, we can expect an acceleration in automation, potentially transforming industries by increasing efficiency and creating new business opportunities. While this may lead to job displacement in certain sectors, it could also give rise to new roles focused on AI management and development, thus reshaping the labor market. Moreover, Microsoft's improvements could increase the speed and effectiveness of decision‑making processes and data analysis, offering businesses and governments the tools to tackle complex challenges with renewed agility and precision.¹

On the social front, increased AI performance might accelerate advancements in fields like healthcare and education. By providing more intelligent and efficient predictive models, AI could facilitate the development of personalized medicine and learning processes, significantly improving individual outcomes. However, this rapid technological advancement also raises concerns about data privacy, security, and the ethical use of AI technologies. These concerns highlight the need for robust regulatory frameworks to manage these issues effectively. Addressing potential biases in AI systems is crucial to ensure they serve diverse populations equitably and do not perpetuate existing societal inequalities.¹

Politically, the global landscape is likely to experience shifts as nations vie for dominance in the AI sector. Countries or companies capable of leveraging advanced AI technologies could gain substantial strategic advantages, dictating new norms in economic and military arenas. Thus, the rise in AI capacity necessitates international cooperation to establish ethical guidelines and standards that prevent misuse and encourage fair competition. The rapid evolution of AI technologies also calls for international agreements on AI governance to ensure that advancements benefit humankind universally, rather than exacerbate existing geopolitical tensions.¹

Financial Impact of Microsoft's AI Initiatives

Microsoft's AI initiatives, driven by rapid advancements in AI model performance, are demonstrating profound financial impacts. As Microsoft's CEO Satya Nadella highlighted, the AI model performance of the company is doubling every six months. This rapid scalability and enhancement in performance not only promise to advance technology but also have significant financial repercussions. Microsoft's AI tools are gaining traction, with the growing popularity of products like Microsoft 365 Copilot, which has seen a substantial tripling in usage year‑over‑year, signaling increased customer adoption and satisfaction. This growth exemplifies how enhancements in AI technology are translating into broader economic benefits for Microsoft, positioning the company strongly within the AI services market source.

Azure, Microsoft's cloud platform, plays a foundational role in supporting these AI advancements, further enhancing Microsoft's financial performance. The optimization across Azure's infrastructure, from data centers and silicon to software, has been instrumental in achieving these performance feats. This optimization is not only improving AI functionality but also strengthening Microsoft's market position and financial growth through increased cloud services revenue. Consequently, Microsoft's Intelligent Cloud group has reported a notable 20.8% increase in sales, reflecting the broader impact of AI on Microsoft's financial health source.

Moreover, Microsoft's strategic actions, such as the acquisition of Nvidia AI chips, underscore the financial stakes involved as they seek to solidify their position at the forefront of AI technology. This move signifies Microsoft’s commitment to securing the computational power necessary for the ongoing development and deployment of its AI models, which is crucial for maintaining the company's competitive edge in the AI sector. As highlighted in expert analyses, while securing such resources may offer strategic benefits, they could also lead to market disruption and increased competition for limited resources source.

In conclusion, Microsoft’s AI initiatives are yielding significant financial impacts, largely due to the exponential improvement in their AI models' performance and strategic enhancements in their infrastructure and partnerships. These efforts not only underscore Microsoft’s commitment to innovation but also reflect the considerable market potential and financial opportunities that AI advancements represent for the company. As Microsoft continues to refine and expand its AI offerings, the company is expected to increasingly benefit financially, setting a strong precedent for future growth in the tech industry source.

Public and Expert Reactions to Microsoft's AI Claims

The recent claims by Satya Nadella, CEO of Microsoft, about the rapid improvement in AI model performance, have sparked a wide array of reactions from both the public and experts in the field. Nadella's assertion that Microsoft's AI performance is doubling every six months has been met with enthusiasm by technology advocates who see this as a testament to the company's robust infrastructure and innovative prowess. This optimism is largely anchored in Microsoft's strategic investments in AI research and development, particularly within platforms like Azure and services such as Microsoft 365 Copilot.¹

Experts are divided in their opinions regarding Microsoft's aggressive AI approach. Some analysts are skeptical, questioning whether these improvements signify real technological advancement or merely strategic marketing. A Medium article raises doubts about whether Microsoft is truly at the forefront of AI or if it's grappling to catch up with rivals who have traditionally led in this fast‑paced domain. On the other hand, sources such as OpenTools.ai argue that Microsoft's strategic procurement of Nvidia AI chips is a game‑changing move that could position the company ahead of its competitors by ensuring a continuous supply of essential hardware.

Public opinion appears to reflect a cautious optimism. Many view Nadella's statement as confirmation of Microsoft's commitment to advancing AI capabilities, backed by substantial investment and a strong leadership vision. However, lingering concerns persist about the practical implications of such rapid advancement. Critics highlight past criticisms regarding the efficacy of Microsoft's AI initiatives, such as the Copilot tools, and express skepticism about how these innovations will translate into tangible benefits for consumers and the broader tech ecosystem.¹

The ongoing evolution of Microsoft's partnership with OpenAI adds another layer of complexity to public and expert perceptions. While Microsoft retains certain exclusive rights, the shifting dynamics of this relationship are seen by some as a sign of uncertainty in Microsoft's AI strategy. The potential end of exclusive cloud provider status could mark a significant transition, signaling a need for adaptation in how Microsoft manages its AI investments and collaborations.¹

Overall, if Microsoft's AI model performance continues to double at the predicted rate, the implications could be far‑reaching. The potential for increased automation and efficiency heralds a new era for industries reliant on AI technologies. Yet, this transition also raises ethical and socio‑political questions regarding access, privacy, and the equitable distribution of technological benefits.³ As the discussions around Microsoft's AI ambitions evolve, both enthusiasts and skeptics are closely monitoring these developments, considering the broader impacts on the tech industry and society at large.

Future Prospects: Economic and Social Implications

As Microsoft continues to witness exponential growth in its AI model performance, the global economic landscape could see significant transformations. With advancements in AI, driven by improvements in pre‑training, inference, and system design, automation is likely to gain momentum, leading to shifts in employment patterns. While some job roles may face redundancy, a surge in AI‑driven opportunities could emerge, requiring new skills and altering workforce dynamics. Economies may experience increased productivity, potentially resulting in enhanced economic growth, although the distribution of these benefits will warrant careful deliberation to avoid exacerbating existing socio‑economic disparities.

Socially, Microsoft's AI advancements hold promise for transformative change, particularly in sectors like healthcare and education. The prospect of more sophisticated data analysis could revolutionize patient care and academic instruction, enhancing quality and accessibility. However, as AI technologies evolve, there is an underlying concern regarding algorithmic bias and privacy. Ensuring that these advancements do not perpetuate existing biases or compromise individual privacy will be crucial in fostering public trust and equitable access. Microsoft’s efforts in AI innovation could unfold a future where technological integration promotes societal well‑being, driving positive social outcomes.

Politically, the rapid growth in AI capabilities could influence global power dynamics. Nations adept at harnessing AI might gain strategic advantages, reshaping geopolitical relationships. Microsoft’s pivotal role in AI progress underscores the need for comprehensive international regulations that prevent misuse and promote equitable distribution of AI benefits. As AI technologies become integral to national strategies, collaboration on global AI ethics and regulatory frameworks will be vital to safeguard against potential risks and ensure that technological advancements contribute positively to global stability and security. This evolving political landscape highlights the significance of ethical considerations in AI deployment, where responsible governance becomes essential in steering AI advancements towards sustainable development.

Ensuring Ethical and Equitable AI Development

In the rapidly evolving world of Artificial Intelligence (AI), ensuring ethical and equitable development is pivotal. As AI technologies advance at an unprecedented pace, there arises a need for a comprehensive oversight to guide their evolution responsibly. Satya Nadella's claim that Microsoft’s AI model performance is accelerating rapidly highlights both the opportunities and challenges that come with such growth. While economic advantages are significant, as AI can enhance productivity and innovation, there are also concerns about how this rapid development may affect social structures and create biases [Windows Central].

A key aspect of ethical AI development is addressing potential biases within AI systems. As AI models become more complex, the potential for perpetuating societal biases increases. Developers and companies must prioritize fairness, transparency, and accountability in their AI systems. Nadella’s statements, although focused on the technological advancements, omit discussions on how biases are being curtailed, a crucial element for equitable AI deployment [Windows Central]. Investments in comprehensive bias testing and AI ethics training for developers are paramount to preventing inadvertent harm.

Another critical consideration is data privacy. With AI systems handling large volumes of sensitive data, robust privacy measures must be institutionalized to protect users. This is not only a matter of building trust with users but also an essential step to comply with international regulations. Microsoft's advancements underscore the need for appropriate measures to ensure user data is managed ethically [Windows Central].

Equitable access to AI technology remains a pressing issue globally. While companies like Microsoft make significant strides in technology, there is a looming risk of increasing technological divides, both within and between nations, as advanced AI systems become accessible primarily to those with substantial resources. Satya Nadella’s announcement inadvertently underscores the importance of developing international collaborations and policies that facilitate equitable access to AI advancements [Windows Central]. Partnerships and policies should aim to distribute AI benefits across different demographics and regions.

The partnership dynamics between tech giants, such as that between Microsoft and OpenAI, illustrate how strategic alliances can either bolster or hinder equitable AI development. With Microsoft retaining certain rights over OpenAI’s workloads, the partnership's evolution could dictate future AI governance structures and influence market competition. Ensuring these collaborations do not sideline ethical considerations for competitive advantage is crucial. Nadella’s narrative on AI performance improvements invites a closer look at how partnerships can reinforce ethical standards and equitable practices on a global stage [Windows Central].

The rapid advances in AI model performance posited by Nadella challenge the industry to balance innovation with responsibility. Economic, social, and political factors intertwine in the context of AI, demanding that stakeholders prioritize ethics and equity as core components of AI strategies. As AI technology blurs global boundaries, striving for regulatory frameworks that are universally applicable becomes indispensable to maintain a fair competitive landscape. This includes not just investing in technology, but also in the frameworks that cultivate trust and equitable access [Microsoft's Corporate Responsibility in AI].

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Related News

Microsoft and Health-ISAC disrupt YAM Store, CoGUI and Iron Man

Google I/O 2026: AI, Gemini Updates, and Android XR Innovations

Elon Musk Seeks Sam Altman's Removal in High-Stakes OpenAI Court Battle

Microsoft's AI Models: Doubling Performance Every 6 Months!

Introduction to Microsoft's AI Advancements

Satya Nadella's Vision: Doubling AI Performance

The Role of Azure in AI Development

Understanding Pre‑Training and Inference Improvements

Comparing Microsoft's AI Progress with Industry Standards

Partnership with OpenAI: Current Dynamics

Addressing Criticism: Copilot's Evolution

Implications of Rapid AI Performance Growth

Financial Impact of Microsoft's AI Initiatives

Public and Expert Reactions to Microsoft's AI Claims

Future Prospects: Economic and Social Implications

Ensuring Ethical and Equitable AI Development

Sources

Tags

Microsoft's AI Models: Doubling Performance Every 6 Months!

Introduction to Microsoft's AI Advancements

Satya Nadella's Vision: Doubling AI Performance

The Role of Azure in AI Development

Understanding Pre‑Training and Inference Improvements

Comparing Microsoft's AI Progress with Industry Standards

Partnership with OpenAI: Current Dynamics

Addressing Criticism: Copilot's Evolution

Implications of Rapid AI Performance Growth

Financial Impact of Microsoft's AI Initiatives

Public and Expert Reactions to Microsoft's AI Claims

Future Prospects: Economic and Social Implications

Ensuring Ethical and Equitable AI Development

Sources

Tags