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  1. 🚀 Enhance your web development with Next.js!

    The Habaneras de Lino template is designed for Next.js developers looking for speed, performance, and efficiency!

    ⚡️ Server-side rendering
    ⚡️ Automatic code splitting
    ⚡️ Optimized workflows

    Get started today!

    🔗 Download here
    getnextjsthemes.com/product/ha

    #Nextjs #React #WebDevelopment #OpenSource #Frontend #GetNextJsThemes #LandingPage #Templates #nextjstemplates #Frontend #coding #webdesign

  2. 🔒🌐 Enhance Your Product Development with IEC 62443! 🌐🔒

    Is IT security a priority in your product development? It should be! 🛡️ Dive deep into the IEC 62443 standard for securing industrial communication networks and ensure your projects are safe and compliant from the ground up.

    🚀 **Last Call** to join the iX-Workshop and master the essentials of IEC 62443. Equip your team with the skills to safeguard your innovations in today's digital landscape.

    Don't miss out on this crucial learning opportunity! 📚👨‍💻👩‍💻

    🔗 [Read more](short.aliaslaw.com/xr5mo0)

    #CyberSecurity #ProductDevelopment #IEC62443 #TechWorkshop #ITSecurity #Innovation

  3. 🔒🌐 Enhance Your Product Development with IEC 62443! 🌐🔒

    Is IT security a priority in your product development? It should be! 🛡️ Dive deep into the IEC 62443 standard for securing industrial communication networks and ensure your projects are safe and compliant from the ground up.

    🚀 **Last Call** to join the iX-Workshop and master the essentials of IEC 62443. Equip your team with the skills to safeguard your innovations in today's digital landscape.

    Don't miss out on this crucial learning opportunity! 📚👨‍💻👩‍💻

    🔗 [Read more](short.aliaslaw.com/xr5mo0)

    #CyberSecurity #ProductDevelopment #IEC62443 #TechWorkshop #ITSecurity #Innovation

  4. Magic Integrates Etherlink to Enhance Tezos dApp Development - Magic has partnered with Etherlink to boost Tezos dApp development with enhanced s... - cryptonews.com/news/magic-inte #blockchainnews #tezos #dapp #web3

  5. (2) Several books to enhance my professional development

    - #Caste by Isabel Wilkerson
    - The Good #Ally by Nova Reid
    - Global #Diversity, #Equity and #Inclusion by Rohini Anand
    - Equity by Minal Bopaiah
    - Inclusion on Purpose by Ruchika Tulshyan
    - The Fearless #Organization by Amy Edmondson
    - Think Again by Adam Grant
    - Promises of Giants by John Amaechi
    - Mixed/Other by Natalie Morris

    #GlobalMajority #BIPGM #EDI #inclusiveleadership #leadership

  6. .@shelbilrussell &co reveal that wMel #Wolbachia bacterial #symbionts can enhance #FruitFly reproductive development in both mutant & WT flies; this phenotype is essential to long-term use of Wolbachia for host population control #PLOSBiology plos.io/3QsX7Z5

  7. Discover the power of PUT requests in API development with Flask. Learn how to update data, validate input, and handle responses effectively. Enhance your web development skills and create robust APIs. #PUTrequests #APIdev #Flask

    teguhteja.id/put-requests-flas

  8. Angular Blog editor Minko Gechev shares what's new on Angular 20. Highlights include newly stabilized APIs, improved debugging tools, a more polished developer experience, and features to enhance generative AI development.

    Also, the Angular team has launched an RFC to pick an official mascot for Angular. Isn't that great?

    "Announcing Angular v20"

    blog.angular.dev/announcing-an

    #angular #programming #webdev #frontend #typescript #googleio2025

  9. Angular Blog editor Minko Gechev shares what's new on Angular 20. Highlights include newly stabilized APIs, improved debugging tools, a more polished developer experience, and features to enhance generative AI development.

    Also, the Angular team has launched an RFC to pick an official mascot for Angular. Isn't that great?

    "Announcing Angular v20"

    blog.angular.dev/announcing-an

    #angular #programming #webdev #frontend #typescript #googleio2025

  10. Angular Blog editor Minko Gechev shares what's new on Angular 20. Highlights include newly stabilized APIs, improved debugging tools, a more polished developer experience, and features to enhance generative AI development.

    Also, the Angular team has launched an RFC to pick an official mascot for Angular. Isn't that great?

    "Announcing Angular v20"

    blog.angular.dev/announcing-an

    #angular #programming #webdev #frontend #typescript #googleio2025

  11. Angular Blog editor Minko Gechev shares what's new on Angular 20. Highlights include newly stabilized APIs, improved debugging tools, a more polished developer experience, and features to enhance generative AI development.

    Also, the Angular team has launched an RFC to pick an official mascot for Angular. Isn't that great?

    "Announcing Angular v20"

    blog.angular.dev/announcing-an

    #angular #programming #webdev #frontend #typescript #googleio2025

  12. Angular Blog editor Minko Gechev shares what's new on Angular 20. Highlights include newly stabilized APIs, improved debugging tools, a more polished developer experience, and features to enhance generative AI development.

    Also, the Angular team has launched an RFC to pick an official mascot for Angular. Isn't that great?

    "Announcing Angular v20"

    blog.angular.dev/announcing-an

    #angular #programming #webdev #frontend #typescript #googleio2025

  13. Last chance to join our final 2024 training in the UK. Dive deep into "Programming with #Qt3D" at our Macclesfield office and enhance your #3D development skills. Reserve your spot and explore our full remaining training schedule for 2024 here: training.kdab.com/scheduled-tr #QtDev

  14. Tendenci is built on the programming language and the . This combination leverages Python's readability and extensive library, while Django's MVC structure, built-in features, and supportive community enhance Tendenci's development, security, and versatility. No other software AMS like Tendenci!

  15. Embracing Aging: Finding Strength in Change

    Photo by Quang Nguyen Vinh on Pexels.com

    Coping with aging and death seems to be highly challenging in our culture. People constantly seek ways to keep their appearance youthful, trying various beauty treatments, fitness regimens, and cosmetic surgeries, even as their internal structure ages. Societal pressures and the pervasive images of eternal youth in media and advertising fuel this obsession with preserving youth. However, there is no escaping aging or death; they are natural parts of life that we must all face. As we navigate through these inevitable changes, we need a better way to cope with the grief of this loss. Developing a deeper understanding of the aging process, embracing the wisdom that comes with it, and fostering authentic connections with others can help us find meaning and comfort in this journey. Moreover, exploring rituals and practices that honor the lives of those we have lost can provide a sense of closure and allow us to celebrate their memories while accepting the reality of mortality.

    Understanding the aging process is essential for fostering a healthy life-transition perspective. Aging, often viewed negatively, can instead be seen as a journey filled with growth, learning, and enrichment. Here are some key aspects to consider:

    Biological Changes

    Aging is characterized by a range of biological changes that impact our bodies in various ways. These include the gradual decline in cell regeneration, which means the body’s capacity to produce new and healthy cells diminishes over time. Additionally, changes in hormone levels can lead to various physical and emotional alterations that affect overall well-being. Furthermore, there is a significant reduction in the body’s ability to repair itself, making it more susceptible to injuries and illnesses. Understanding these changes can help individuals manage their health better and promote a proactive approach to aging. By recognizing the signs of aging, individuals can adopt appropriate lifestyle adjustments—such as improved diet and regular exercise—alongside seeking necessary medical care and preventive measures, ultimately enhancing their quality of life as they age.

    Psychological Resilience

    As we age, our cognitive functions may evolve, leading to wisdom and emotional stability that can profoundly impact our decision-making and relationships. It’s important to recognize that with age often comes a deeper understanding of life experiences, which can enhance our resilience and provide valuable insights into our personal journeys. Engaging in lifelong learning and mental exercises, such as puzzles, reading, or even picking up new hobbies, can not only help maintain cognitive health but also foster a sense of accomplishment and fulfillment. This ongoing mental engagement makes it easier to adapt to the changes that come with age, allowing us to embrace new challenges with confidence. Furthermore, nurturing social connections and engaging in meaningful conversations can stimulate our minds and contribute significantly to our emotional well-being, reinforcing the idea that aging can be a rich and rewarding phase of life when approached with an open and positive mindset.

    Social Connections

    Building and nurturing relationships become even more crucial as we grow older. As we advance through different stages of life, the significance of social connections deepens, providing not only emotional support but also a safety net during challenging times. These ties foster a sense of belonging that transcends mere companionship, creating a community where individuals can share experiences and wisdom. Investing time and energy into nurturing these relationships is vital, as it combats loneliness and isolation, which can have detrimental effects on mental and physical health. Furthermore, rich social networks encourage personal growth, openness to new experiences, and resilience, ultimately enhancing our overall well-being and quality of life as we age.

    Embracing Change

    Photo by SHVETS production on Pexels.com

    Aging brings inevitable changes in physical appearance, health, and social status, which can often be daunting for many individuals. However, embracing these changes rather than resisting them allows individuals to cultivate acceptance and adaptability, fostering a deeper understanding of themselves and their evolving identities. This attitude can lead to a more fulfilling life, as it encourages exploration of new interests, activities, and ways to connect with others, opening doors to enriching experiences. By acknowledging the wisdom and insights gained through the years, individuals can also mentor younger generations, creating meaningful relationships that bridge age gaps. Ultimately, this embracing of life’s transitions transforms challenges into opportunities for growth, enhancing not only personal well-being but also contributing positively to the community and society at large.

    Finding Meaning

    Many people discover profound meaning in later years as they reflect on their life’s journey and the myriad experiences that have shaped them. This period often becomes a time of introspection, where individuals can reflect on their achievements, challenges, and the relationships that have defined their lives. Engaging in activities that align with personal values and passions can significantly enhance one’s sense of purpose and fulfillment. Whether it’s pursuing creative endeavors like art or writing, or gaining new skills through professional development, the opportunities for personal growth are endless. Volunteering, mentoring, or participating in community groups not only fosters a sense of belonging but also allows individuals to support others and share their wisdom. These shared experiences can provide invaluable opportunities for contribution and fulfillment, creating a ripple effect that enriches both the giver and the community as a whole.

    Rituals and Practices

    Participating in rituals that honor the aging process, such as celebrating milestones or commemorating the lives of loved ones, can provide closure and foster a sense of connection. These practices serve not only to honor the past but also to reinforce the bonds we share with family and friends, creating lasting memories that enrich our lives. They remind us of the value of life experiences and help solidify our relationships with both the living and the deceased. Through shared stories, collective remembrance, and the expression of gratitude during these moments, we find comfort in our shared histories, understanding that every individual’s journey contributes to the tapestry of our lives, ultimately reinforcing the importance of community and the shared human experience.

    Embracing Aging

    Understanding the aging process is about more than just accepting the physical changes; it involves embracing the richness of experience, the strength of relationships, and the depth of wisdom that comes with time. By adopting a holistic view of aging, we can find joy and fulfillment in every stage of life.

    I want to circle back to “Embracing Change” as this seems to be the most challenging of processes for humans in our culture today. As my parents age and continue to face new limitations, what I hear the most from family and friends is, “Change is hard.” While I do understand their perspective, I also disagree with it on some level. Every day, we experience change in various forms, from the subtle shifts in our emotions to the more noticeable transformations in our circumstances. When we take the time to notice these slight shifts in our ways of thinking, bodies, and appearance, we can flow with change more easily, rather than resist it. This realization can open up pathways for personal growth and deeper understanding. Adapting to change can be seen as a dance with life, where we learn to move gracefully amidst uncertainty. This does take practice, and it involves living fully in the present moment, acknowledging both the discomfort and the beauty that come with change. By cultivating resilience and an open mindset, we can turn what once felt like a daunting challenge into an opportunity for enrichment and self-discovery.

    Cultivating Resilience

    So how do we cultivate resilience? Resilience can be developed through various practices that strengthen our mental and emotional fortitude. One practical approach is to embrace challenges and view them as opportunities for growth rather than obstacles. Also, fostering a strong support network of friends, family, and colleagues can provide encouragement during tough times. Engaging in regular self-care activities, such as exercise, mindfulness, and adequate rest, is also vital for maintaining a balanced mindset. Moreover, adapting to change and being open to new experiences can help us build a more resilient outlook on life, enabling us to bounce back from setbacks with greater ease and confidence.

    Aging Gracefully

    This perspective allows us to move through life gracefully and easily, knowing we can handle the changes and limitations that arise as we age. Embracing this mindset fosters resilience, enabling us to adapt to new challenges and circumstances with a positive outlook. As we navigate the complexities of life, we become more equipped to appreciate the fleeting moments of joy, wisdom, and connection, while also recognizing that each stage of our journey brings unique growth opportunities. By cultivating this understanding, we can live with intention, savoring every experience and nurturing our inner strength, ultimately leading us to a more fulfilling existence.

    Photo by Chris F on Pexels.com

    Below, I have gathered a collection of related posts to support your deeper learning and healing journey.

    Building Resilience: A Path to Healing and Growth

    Quick Ways To Transform Chaos Into Calm

    Emotional Well-being: Pathway to Joy & Fulfillment

    Embrace Graceful Aging: Practices for Inner Wisdom

    Or visit the MEDITATION page for a free download of the Somatic Healing Meditation & Somatic Healing Guide

    Talks & Meditation on Insight Timer (Member Plus)

    The content below “Limitations & Radical Acceptance” was initially written and recorded while I was navigating as yet undiagnosed health issues and had been asked how I manage to cope and stay grounded. During that challenging time, I explored various coping mechanisms, reflecting on the value of mindfulness and self-acceptance as essential tools in my journey. The second piece was written and recorded after being asked by a listener to explore this concept more deeply, leading me to analyze my own experiences and incorporate guided meditation techniques that can aid others in similar situations. Through this process, I endeavored to create a safe space for listeners to engage with their feelings, encouraging them to embrace their limitations while fostering a sense of inner peace and resilience amidst uncertainty.

    If you are not a Premium Subscriber of Insight Timer, you can download your copy of this two-track bundle at 40% off through Sept 21st with code GRACE2025. This is a fantastic opportunity to explore valuable resources that can enhance your personal development journey. The small fee I charge for premium content helps offset the cost of running a website and recording equipment, and providing my dear, constant readers/listeners with unique and thoughtful content that aids in finding peace and meaning in the day-to-day chaos of life. By investing in these tracks, you support my work and take a step towards more profound relaxation and mindfulness practices that can significantly benefit your overall well-being.

    Limitations & Radical Acceptance

    $12.99

    Understanding the difference between limiting beliefs and actual physical or mental limitations is vital to thriving. We have the power within us to shift limiting beliefs, whereas substantial physical or psychological impediments require radical acceptance.

    Sample of talk and meditation below.

    Limitations & Radical Acceptance quantity

    Add to cart

    Category: Short Course Tags: acceptance, awakening, awareness, balance, consciousness, grounded, healing, health, Meditation, mindful, presence, present moment awareness, Relaxation, releasing the past, Stress relief, tao
  16. Researchers at ETH Zurich have developed sensors designed to #Enhance the training performance of #SkiJumpers. Young athletes recently tested the devices on the ski jump in Kandersteg.

  17. Enhance the Spring Boot developer experience with Arconia Dev Services: zero-code and zero-config infrastructure provisioning. Add one dependency. That's it!

    Databases, event queues, observability platforms, AI services and more. All powered by Testcontainers!

    #Java #SpringBoot #Arconia #Testcontainers #DeveloperExperience

    thomasvitale.com/arconia-dev-s

  18. DATE: May 14, 2026 at 10:00AM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
    -------------------------------------------------

    TITLE: Real-world evidence shows generative AI is making human creative output more uniform

    URL: psypost.org/real-world-evidenc

    Using artificial intelligence for creative tasks tends to make human output more uniform on a collective level. A recent preprint study provides evidence that while these tools might boost individual performance, they contribute to an overall reduction in the diversity of ideas across different users. This widespread reliance on automated assistance could lead to a narrower range of concepts in collaborative environments.

    Generative artificial intelligence refers to computer programs capable of creating new text, images, or other media based on user instructions. The most common of these tools rely on large language models. Developers build these models by feeding them billions of sentences from the internet, allowing the software to recognize patterns and predict how words should follow one another.

    Since many users interact with similar systems trained on overlapping data, scientists have raised concerns about how this technology shapes human thought. Researchers Alwin de Rooij, assistant professor in creativity research at Tilburg University and associate professor at Avans University of Applied Sciences, and Michael Mose Biskjaer, associate professor in design creativity and innovation at Aarhus University, designed a new study to assess these concerns. They noticed that previous research often focused on how these tools help individuals work faster or overcome temporary mental blocks.

    They wanted to know if this individual assistance comes at a collective cost. “There are growing concerns that using Generative AI may lead people toward similar creative ideas,” the authors explained. “While AI can enhance creativity at the individual level, these benefits might come at a cost for creativity at a collective, or even societal, level.”

    The authors sought to answer whether generative software makes people think alike. “We sought to address this by conducting a systematic review and meta-analysis of 19 empirical studies,” they noted. “More concretely, we wanted to examine whether and to what extent generative AI use is associated with convergence at the level of creative output, such as people’s ideas, designs, and creative writing.”

    A meta-analysis is a statistical technique that combines the results of multiple independent studies to find common patterns or overall trends. By pooling data from various experiments, scientists can draw more robust conclusions than they could from a single test. The authors searched academic databases for studies published between 2022 and early 2026.

    This time frame covers the period following the public release of popular chatbots, capturing the first wave of empirical research on this topic. The researchers selected 18 eligible articles containing 19 distinct experimental studies. These studies provided a total of 61 individual effect sizes, which are mathematical values indicating the strength of a specific phenomenon.

    To be included in the analysis, the original experiments had to compare humans working with generative software against humans working alone. The original studies measured homogenization using several techniques. Many relied on advanced text analysis tools that translate written responses into mathematical coordinates.

    This process allows computers to measure the semantic distance between words, essentially calculating how closely related different ideas are to one another. Other studies used human experts to rate the variety of meanings produced by participants. The analysis revealed a statistically significant homogenization effect associated with the use of artificial intelligence.

    When people co-created with these systems, their final products tended to be more similar to the work of other users. “The meta-analysis shows that using generative AI can indeed lead people to think alike,” the authors noted. “Across individuals, AI use tends to make ideas, designs, and creative texts more similar to one another.”

    “This suggests that AI may contribute to a form of homogenization of creative thought at the collective level,” they continued. “Importantly, this does not necessarily reflect a failure of human-AI co-creation but may instead be an inherent feature of how these systems currently support creative work at scale.”

    The scientists also evaluated whether the type of task influenced the degree of uniformity. They categorized the experiments into four groups, which included divergent thinking, idea generation, writing, and visual art. Divergent thinking tasks are highly open-ended exercises, such as asking someone to list creative uses for a paperclip.

    Idea generation tasks provide more specific constraints, such as asking for solutions to improve public transportation. The analysis showed that the homogenization effect was strongest in the idea generation tasks. Because these exercises require specific solutions to defined problems, users likely rely more heavily on the predictable suggestions provided by the computer algorithms.

    The researchers did not find strong statistical evidence for differences among the other three categories, suggesting that open-ended tasks lead to less convergence. They also checked if these patterns only happen in highly controlled laboratory settings. The authors compared traditional laboratory experiments with real-world scenarios, such as analyzing published essays and visual artworks created before and after the widespread adoption of automated writing tools.

    The analysis of these real-world conditions showed a small but significant reduction in idea diversity. “In many ways, the findings resemble classic fixation effects from the psychology literature, where exposure to examples constrains later thinking, but here they appear amplified by the scale and synchronicity of generative AI model use,” the researchers stated. “This homogenization effect was observed not only in controlled lab studies but also in real-world quasi-experiments. This suggests that it is not merely a lab-based phenomenon, but a practical concern affecting concrete creative processes and practices.”

    De Rooij and Biskjaer also investigated whether this narrowing of ideas persists after a person stops using the software. They isolated a subset of studies that tested participants on new creative tasks after their initial interaction with the computer models. The results suggest that the homogenization effect carries over into these subsequent activities.

    “The findings also provide preliminary evidence that homogenization effects may persist beyond moments of direct AI use,” the researchers told PsyPost. “In other words, interacting with these generative AI systems may shape how people think and generate ideas even after the interaction has ended. This potential ‘rub-off’ effect on creative cognition warrants further research and is something we would like to explore in more depth.”

    These results closely align with another recent study published in the journal PNAS Nexus. Scientists Emily Wenger and Yoed N. Kenett tested how large language models affect human creativity by evaluating 22 different commercial chatbots. They recruited 102 human participants to complete a series of verbal creativity tests, including the alternative uses task, and then asked the chatbots to complete the exact same assignments.

    Wenger and Kenett found that individual language models performed at or slightly above the level of the average human on most exercises. When viewed in isolation, a single chatbot provided highly original and creative responses. However, when the scientists compared all the responses from the different models, a stark pattern of similarity emerged.

    Across all tasks, the computer programs produced answers that were significantly more alike than the answers provided by the human participants. Both sets of researchers point to similar underlying mechanisms for this phenomenon. Because the major technology companies train their models on massive, overlapping datasets scraped from the internet, the programs naturally gravitate toward the most statistically common word associations.

    When thousands of people use these tools to generate ideas, the software acts as a semantic anchor. The models pull human users toward a shared set of typical concepts, reducing the overall variety of ideas. Wenger and Kenett attempted to fix this issue by adjusting the internal settings of the chatbots to force more random text generation, but this caused the models to produce nonsensical sentences.

    Readers should avoid interpreting these findings as proof that human beings are becoming entirely uncreative. De Rooij and Biskjaer note that the reduction in collective diversity does not equal a total loss of individual ability. “A key point is that our findings do not show that using AI reduces creativity,” the researchers emphasized.

    “Rather, they point to a shift in where and how creative diversity occurs, and where it may be constrained,” the authors said. “Individual output can improve in creative quality while becoming more similar across people. While these effects are often subtle in single instances, they may become meaningful when considered at the scale at which generative AI is now being used.”

    The authors point out some limitations to their current analysis. The review primarily focuses on text-based tools and large language models, meaning the findings might not apply to other types of computer systems. For instance, adaptive machine learning programs or tools used for music composition were not adequately represented in the available data.

    This restricts how broadly the scientific community can apply these conclusions across different artistic domains. Additionally, the analyses regarding long-term persistence and real-world applications relied on relatively small groups of studies. The limited data makes these specific conclusions tentative and open to revision.

    Future research should explore different forms of human and machine collaboration over extended periods of time. “An important next step is rethinking how generative AI systems are designed and used in creative contexts to mitigate homogenization effects,” the authors noted. “This includes exploring alternative workflows, interaction designs, and creative strategies that sustain diversity rather than encourage early convergence.”

    “One step in this direction has already been taken by mapping creative strategies for working with generative AI and machine learning, based on analyses of AI art practices,” they added, referencing a recently published article outlining this approach. “We believe these strategies can transfer to other creative domains.”

    The preprint study, “Does Generative AI Make Us Think Alike? A Systematic Review and Meta-Analysis of Homogenization Effects in Human-AI Co-Creation,” was authored by Alwin de Rooij and Michael Mose Biskjaer.

    URL: psypost.org/real-world-evidenc

    -------------------------------------------------

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    Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

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    #psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #GenerativeAI #CreativityDiversity #AICoCreation #Homogenization #CreativeThinking #AIImpact #CreativeDiversity #LLMs #TechEthics #InnovationScience

  19. DATE: May 14, 2026 at 10:00AM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
    -------------------------------------------------

    TITLE: Real-world evidence shows generative AI is making human creative output more uniform

    URL: psypost.org/real-world-evidenc

    Using artificial intelligence for creative tasks tends to make human output more uniform on a collective level. A recent preprint study provides evidence that while these tools might boost individual performance, they contribute to an overall reduction in the diversity of ideas across different users. This widespread reliance on automated assistance could lead to a narrower range of concepts in collaborative environments.

    Generative artificial intelligence refers to computer programs capable of creating new text, images, or other media based on user instructions. The most common of these tools rely on large language models. Developers build these models by feeding them billions of sentences from the internet, allowing the software to recognize patterns and predict how words should follow one another.

    Since many users interact with similar systems trained on overlapping data, scientists have raised concerns about how this technology shapes human thought. Researchers Alwin de Rooij, assistant professor in creativity research at Tilburg University and associate professor at Avans University of Applied Sciences, and Michael Mose Biskjaer, associate professor in design creativity and innovation at Aarhus University, designed a new study to assess these concerns. They noticed that previous research often focused on how these tools help individuals work faster or overcome temporary mental blocks.

    They wanted to know if this individual assistance comes at a collective cost. “There are growing concerns that using Generative AI may lead people toward similar creative ideas,” the authors explained. “While AI can enhance creativity at the individual level, these benefits might come at a cost for creativity at a collective, or even societal, level.”

    The authors sought to answer whether generative software makes people think alike. “We sought to address this by conducting a systematic review and meta-analysis of 19 empirical studies,” they noted. “More concretely, we wanted to examine whether and to what extent generative AI use is associated with convergence at the level of creative output, such as people’s ideas, designs, and creative writing.”

    A meta-analysis is a statistical technique that combines the results of multiple independent studies to find common patterns or overall trends. By pooling data from various experiments, scientists can draw more robust conclusions than they could from a single test. The authors searched academic databases for studies published between 2022 and early 2026.

    This time frame covers the period following the public release of popular chatbots, capturing the first wave of empirical research on this topic. The researchers selected 18 eligible articles containing 19 distinct experimental studies. These studies provided a total of 61 individual effect sizes, which are mathematical values indicating the strength of a specific phenomenon.

    To be included in the analysis, the original experiments had to compare humans working with generative software against humans working alone. The original studies measured homogenization using several techniques. Many relied on advanced text analysis tools that translate written responses into mathematical coordinates.

    This process allows computers to measure the semantic distance between words, essentially calculating how closely related different ideas are to one another. Other studies used human experts to rate the variety of meanings produced by participants. The analysis revealed a statistically significant homogenization effect associated with the use of artificial intelligence.

    When people co-created with these systems, their final products tended to be more similar to the work of other users. “The meta-analysis shows that using generative AI can indeed lead people to think alike,” the authors noted. “Across individuals, AI use tends to make ideas, designs, and creative texts more similar to one another.”

    “This suggests that AI may contribute to a form of homogenization of creative thought at the collective level,” they continued. “Importantly, this does not necessarily reflect a failure of human-AI co-creation but may instead be an inherent feature of how these systems currently support creative work at scale.”

    The scientists also evaluated whether the type of task influenced the degree of uniformity. They categorized the experiments into four groups, which included divergent thinking, idea generation, writing, and visual art. Divergent thinking tasks are highly open-ended exercises, such as asking someone to list creative uses for a paperclip.

    Idea generation tasks provide more specific constraints, such as asking for solutions to improve public transportation. The analysis showed that the homogenization effect was strongest in the idea generation tasks. Because these exercises require specific solutions to defined problems, users likely rely more heavily on the predictable suggestions provided by the computer algorithms.

    The researchers did not find strong statistical evidence for differences among the other three categories, suggesting that open-ended tasks lead to less convergence. They also checked if these patterns only happen in highly controlled laboratory settings. The authors compared traditional laboratory experiments with real-world scenarios, such as analyzing published essays and visual artworks created before and after the widespread adoption of automated writing tools.

    The analysis of these real-world conditions showed a small but significant reduction in idea diversity. “In many ways, the findings resemble classic fixation effects from the psychology literature, where exposure to examples constrains later thinking, but here they appear amplified by the scale and synchronicity of generative AI model use,” the researchers stated. “This homogenization effect was observed not only in controlled lab studies but also in real-world quasi-experiments. This suggests that it is not merely a lab-based phenomenon, but a practical concern affecting concrete creative processes and practices.”

    De Rooij and Biskjaer also investigated whether this narrowing of ideas persists after a person stops using the software. They isolated a subset of studies that tested participants on new creative tasks after their initial interaction with the computer models. The results suggest that the homogenization effect carries over into these subsequent activities.

    “The findings also provide preliminary evidence that homogenization effects may persist beyond moments of direct AI use,” the researchers told PsyPost. “In other words, interacting with these generative AI systems may shape how people think and generate ideas even after the interaction has ended. This potential ‘rub-off’ effect on creative cognition warrants further research and is something we would like to explore in more depth.”

    These results closely align with another recent study published in the journal PNAS Nexus. Scientists Emily Wenger and Yoed N. Kenett tested how large language models affect human creativity by evaluating 22 different commercial chatbots. They recruited 102 human participants to complete a series of verbal creativity tests, including the alternative uses task, and then asked the chatbots to complete the exact same assignments.

    Wenger and Kenett found that individual language models performed at or slightly above the level of the average human on most exercises. When viewed in isolation, a single chatbot provided highly original and creative responses. However, when the scientists compared all the responses from the different models, a stark pattern of similarity emerged.

    Across all tasks, the computer programs produced answers that were significantly more alike than the answers provided by the human participants. Both sets of researchers point to similar underlying mechanisms for this phenomenon. Because the major technology companies train their models on massive, overlapping datasets scraped from the internet, the programs naturally gravitate toward the most statistically common word associations.

    When thousands of people use these tools to generate ideas, the software acts as a semantic anchor. The models pull human users toward a shared set of typical concepts, reducing the overall variety of ideas. Wenger and Kenett attempted to fix this issue by adjusting the internal settings of the chatbots to force more random text generation, but this caused the models to produce nonsensical sentences.

    Readers should avoid interpreting these findings as proof that human beings are becoming entirely uncreative. De Rooij and Biskjaer note that the reduction in collective diversity does not equal a total loss of individual ability. “A key point is that our findings do not show that using AI reduces creativity,” the researchers emphasized.

    “Rather, they point to a shift in where and how creative diversity occurs, and where it may be constrained,” the authors said. “Individual output can improve in creative quality while becoming more similar across people. While these effects are often subtle in single instances, they may become meaningful when considered at the scale at which generative AI is now being used.”

    The authors point out some limitations to their current analysis. The review primarily focuses on text-based tools and large language models, meaning the findings might not apply to other types of computer systems. For instance, adaptive machine learning programs or tools used for music composition were not adequately represented in the available data.

    This restricts how broadly the scientific community can apply these conclusions across different artistic domains. Additionally, the analyses regarding long-term persistence and real-world applications relied on relatively small groups of studies. The limited data makes these specific conclusions tentative and open to revision.

    Future research should explore different forms of human and machine collaboration over extended periods of time. “An important next step is rethinking how generative AI systems are designed and used in creative contexts to mitigate homogenization effects,” the authors noted. “This includes exploring alternative workflows, interaction designs, and creative strategies that sustain diversity rather than encourage early convergence.”

    “One step in this direction has already been taken by mapping creative strategies for working with generative AI and machine learning, based on analyses of AI art practices,” they added, referencing a recently published article outlining this approach. “We believe these strategies can transfer to other creative domains.”

    The preprint study, “Does Generative AI Make Us Think Alike? A Systematic Review and Meta-Analysis of Homogenization Effects in Human-AI Co-Creation,” was authored by Alwin de Rooij and Michael Mose Biskjaer.

    URL: psypost.org/real-world-evidenc

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  20. DATE: May 14, 2026 at 10:00AM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
    -------------------------------------------------

    TITLE: Real-world evidence shows generative AI is making human creative output more uniform

    URL: psypost.org/real-world-evidenc

    Using artificial intelligence for creative tasks tends to make human output more uniform on a collective level. A recent preprint study provides evidence that while these tools might boost individual performance, they contribute to an overall reduction in the diversity of ideas across different users. This widespread reliance on automated assistance could lead to a narrower range of concepts in collaborative environments.

    Generative artificial intelligence refers to computer programs capable of creating new text, images, or other media based on user instructions. The most common of these tools rely on large language models. Developers build these models by feeding them billions of sentences from the internet, allowing the software to recognize patterns and predict how words should follow one another.

    Since many users interact with similar systems trained on overlapping data, scientists have raised concerns about how this technology shapes human thought. Researchers Alwin de Rooij, assistant professor in creativity research at Tilburg University and associate professor at Avans University of Applied Sciences, and Michael Mose Biskjaer, associate professor in design creativity and innovation at Aarhus University, designed a new study to assess these concerns. They noticed that previous research often focused on how these tools help individuals work faster or overcome temporary mental blocks.

    They wanted to know if this individual assistance comes at a collective cost. “There are growing concerns that using Generative AI may lead people toward similar creative ideas,” the authors explained. “While AI can enhance creativity at the individual level, these benefits might come at a cost for creativity at a collective, or even societal, level.”

    The authors sought to answer whether generative software makes people think alike. “We sought to address this by conducting a systematic review and meta-analysis of 19 empirical studies,” they noted. “More concretely, we wanted to examine whether and to what extent generative AI use is associated with convergence at the level of creative output, such as people’s ideas, designs, and creative writing.”

    A meta-analysis is a statistical technique that combines the results of multiple independent studies to find common patterns or overall trends. By pooling data from various experiments, scientists can draw more robust conclusions than they could from a single test. The authors searched academic databases for studies published between 2022 and early 2026.

    This time frame covers the period following the public release of popular chatbots, capturing the first wave of empirical research on this topic. The researchers selected 18 eligible articles containing 19 distinct experimental studies. These studies provided a total of 61 individual effect sizes, which are mathematical values indicating the strength of a specific phenomenon.

    To be included in the analysis, the original experiments had to compare humans working with generative software against humans working alone. The original studies measured homogenization using several techniques. Many relied on advanced text analysis tools that translate written responses into mathematical coordinates.

    This process allows computers to measure the semantic distance between words, essentially calculating how closely related different ideas are to one another. Other studies used human experts to rate the variety of meanings produced by participants. The analysis revealed a statistically significant homogenization effect associated with the use of artificial intelligence.

    When people co-created with these systems, their final products tended to be more similar to the work of other users. “The meta-analysis shows that using generative AI can indeed lead people to think alike,” the authors noted. “Across individuals, AI use tends to make ideas, designs, and creative texts more similar to one another.”

    “This suggests that AI may contribute to a form of homogenization of creative thought at the collective level,” they continued. “Importantly, this does not necessarily reflect a failure of human-AI co-creation but may instead be an inherent feature of how these systems currently support creative work at scale.”

    The scientists also evaluated whether the type of task influenced the degree of uniformity. They categorized the experiments into four groups, which included divergent thinking, idea generation, writing, and visual art. Divergent thinking tasks are highly open-ended exercises, such as asking someone to list creative uses for a paperclip.

    Idea generation tasks provide more specific constraints, such as asking for solutions to improve public transportation. The analysis showed that the homogenization effect was strongest in the idea generation tasks. Because these exercises require specific solutions to defined problems, users likely rely more heavily on the predictable suggestions provided by the computer algorithms.

    The researchers did not find strong statistical evidence for differences among the other three categories, suggesting that open-ended tasks lead to less convergence. They also checked if these patterns only happen in highly controlled laboratory settings. The authors compared traditional laboratory experiments with real-world scenarios, such as analyzing published essays and visual artworks created before and after the widespread adoption of automated writing tools.

    The analysis of these real-world conditions showed a small but significant reduction in idea diversity. “In many ways, the findings resemble classic fixation effects from the psychology literature, where exposure to examples constrains later thinking, but here they appear amplified by the scale and synchronicity of generative AI model use,” the researchers stated. “This homogenization effect was observed not only in controlled lab studies but also in real-world quasi-experiments. This suggests that it is not merely a lab-based phenomenon, but a practical concern affecting concrete creative processes and practices.”

    De Rooij and Biskjaer also investigated whether this narrowing of ideas persists after a person stops using the software. They isolated a subset of studies that tested participants on new creative tasks after their initial interaction with the computer models. The results suggest that the homogenization effect carries over into these subsequent activities.

    “The findings also provide preliminary evidence that homogenization effects may persist beyond moments of direct AI use,” the researchers told PsyPost. “In other words, interacting with these generative AI systems may shape how people think and generate ideas even after the interaction has ended. This potential ‘rub-off’ effect on creative cognition warrants further research and is something we would like to explore in more depth.”

    These results closely align with another recent study published in the journal PNAS Nexus. Scientists Emily Wenger and Yoed N. Kenett tested how large language models affect human creativity by evaluating 22 different commercial chatbots. They recruited 102 human participants to complete a series of verbal creativity tests, including the alternative uses task, and then asked the chatbots to complete the exact same assignments.

    Wenger and Kenett found that individual language models performed at or slightly above the level of the average human on most exercises. When viewed in isolation, a single chatbot provided highly original and creative responses. However, when the scientists compared all the responses from the different models, a stark pattern of similarity emerged.

    Across all tasks, the computer programs produced answers that were significantly more alike than the answers provided by the human participants. Both sets of researchers point to similar underlying mechanisms for this phenomenon. Because the major technology companies train their models on massive, overlapping datasets scraped from the internet, the programs naturally gravitate toward the most statistically common word associations.

    When thousands of people use these tools to generate ideas, the software acts as a semantic anchor. The models pull human users toward a shared set of typical concepts, reducing the overall variety of ideas. Wenger and Kenett attempted to fix this issue by adjusting the internal settings of the chatbots to force more random text generation, but this caused the models to produce nonsensical sentences.

    Readers should avoid interpreting these findings as proof that human beings are becoming entirely uncreative. De Rooij and Biskjaer note that the reduction in collective diversity does not equal a total loss of individual ability. “A key point is that our findings do not show that using AI reduces creativity,” the researchers emphasized.

    “Rather, they point to a shift in where and how creative diversity occurs, and where it may be constrained,” the authors said. “Individual output can improve in creative quality while becoming more similar across people. While these effects are often subtle in single instances, they may become meaningful when considered at the scale at which generative AI is now being used.”

    The authors point out some limitations to their current analysis. The review primarily focuses on text-based tools and large language models, meaning the findings might not apply to other types of computer systems. For instance, adaptive machine learning programs or tools used for music composition were not adequately represented in the available data.

    This restricts how broadly the scientific community can apply these conclusions across different artistic domains. Additionally, the analyses regarding long-term persistence and real-world applications relied on relatively small groups of studies. The limited data makes these specific conclusions tentative and open to revision.

    Future research should explore different forms of human and machine collaboration over extended periods of time. “An important next step is rethinking how generative AI systems are designed and used in creative contexts to mitigate homogenization effects,” the authors noted. “This includes exploring alternative workflows, interaction designs, and creative strategies that sustain diversity rather than encourage early convergence.”

    “One step in this direction has already been taken by mapping creative strategies for working with generative AI and machine learning, based on analyses of AI art practices,” they added, referencing a recently published article outlining this approach. “We believe these strategies can transfer to other creative domains.”

    The preprint study, “Does Generative AI Make Us Think Alike? A Systematic Review and Meta-Analysis of Homogenization Effects in Human-AI Co-Creation,” was authored by Alwin de Rooij and Michael Mose Biskjaer.

    URL: psypost.org/real-world-evidenc

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  21. Mindful Practices for Chronic Pain Relief and Emotional Wellness

    Photo by Keenan Constance on Pexels.com

    Chronic pain manifests in various forms, complicating life and diminishing joy. Whether stemming from autoimmune diseases, arthritis, fibromyalgia, or other chronic conditions, it not only impacts physical health but also has profound emotional and psychological effects that can lead to feelings of isolation and hopelessness. This multifaceted experience often challenges our daily routines, leading individuals to navigate a world that frequently seems unforgiving. To counteract these struggles, embark on a gentle meditative journey that encourages us to fully experience the body as it is, without judgment, and to cultivate awareness of our inner sensations and emotional states. By incorporating techniques such as mindfulness and visualization, we can ease our pain through the transformative power of gratitude, fostering a deeper connection with ourselves and nurturing resilience amidst adversity.

    Body Scan

    A body scan incorporated into meditation can be a gentle way to ease chronic pain, offering a pathway to greater mindfulness and enhanced body awareness. As we embark on a body scan, we lovingly direct our attention to various parts of our body, acknowledging sensations or tension without judgment. This compassionate practice allows us to recognize and alleviate the anxiety and stress that often accompany chronic pain, paving the way for a more peaceful experience. By embracing relaxation, we help to release muscle tension and foster a deeper connection with ourselves, empowering us to manage our pain responses more effectively. As we cultivate acceptance and compassion towards our pain, we may discover a reduction in discomfort and an uplift in our overall well-being.

    Photo by Elina Fairytale on Pexels.com

    Visualization

    Visualization in meditation can be a powerful ally in easing chronic pain, as it fosters a gentle mental picture of relaxation and healing, potentially transforming the way we experience pain. By engaging in focused imagery, we can nurture our minds, leading to a reduction in stress and an increase in the release of endorphins, the body’s natural pain relievers. This calming approach allows patients to create a distance from their discomfort, offering a renewed sense of control over their pain management journey. Moreover, visualization techniques can deepen mindfulness, empowering individuals to navigate their pain more effectively by reshaping emotional responses and alleviating anxiety tied to chronic conditions.

    Affirmation

    Affirmations like: I am in control of my body; Each breath brings me healing and relaxation; Pain is a temporary experience; I am strong and resilient; I embrace comfort and release tension, can genuinely transform how we perceive chronic pain by nurturing a sense of empowerment and mindfulness. By regularly uttering these gentle affirmations, we can forge a deeper bond with our physical sensations and emotional states. This nurturing practice invites a shift from seeing pain merely as an enemy to acknowledging it as a part of their unique journey, fostering personal growth and resilience. Furthermore, embracing the transient nature of pain can cultivate a profound appreciation for moments of relief, ultimately enhancing one’s overall well-being. In the end, such affirmations help to create a compassionate mental space where hope and positivity can blossom, leading to improved coping strategies and a more fulfilling life, even amid the challenges of chronic pain.

    Gratitude

    Photo by Summer Stock on Pexels.com

    These tools offer unique ways to navigate the challenges of chronic pain, allowing glimmers of hope to shine through the clouds of distress we may face each day. I can personally empathize with how challenging it can be to cultivate gratitude during flare-ups. When caught in the grip of intense pain that lasts for hours, days, weeks, or even longer, it feels nearly impossible to foster a sense of thankfulness. Yet, I’ve discovered that embracing gratitude can be a crucial aspect of coping with chronic illness over the long haul.

    Expressing Gratitude in Coping with Chronic Pain

    Daily expressions of gratitude can be a powerful tool for managing chronic pain, offering both emotional and psychological benefits. When individuals take the time to acknowledge and appreciate the positive aspects of their lives, they effectively shift their focus away from pain and discomfort. This shift can create a sense of balance, allowing for moments of joy and contentment to emerge even amidst the challenges posed by chronic conditions.

    Fostering a Positive Mindset

    Gratitude encourages a positive mindset, which can significantly influence how we perceive and react to pain. By actively recognizing the things we are thankful for—be it supportive relationships, small victories, or moments of beauty in our daily lives—we create a mental buffer against negativity. This approach can lessen the impact of chronic pain symptoms and foster resilience, enabling us to navigate our circumstances with greater strength.

    Enhancing Emotional Well-being

    Chronic pain often comes with emotional burdens, such as frustration, sadness, and isolation. Practicing gratitude can counter these feelings by anchoring us in a place of appreciation and hope. Frequent acknowledgment of what we are grateful for helps to rewire our internal dialogue, promoting feelings of empowerment and control over our life experience. This emotional shift can lead to reduced anxiety and an overall enhanced sense of well-being.

    Building Connections

    Photo by Thirdman on Pexels.com

    Expressing gratitude can also strengthen social connections. When we share our gratitude with others, we open up opportunities for connection and support. This network can be vital for individuals dealing with chronic pain, as it fosters a sense of belonging and understanding. Engaging with empathetic friends, family, or support groups can enrich our coping strategies and provide avenues for sharing experiences and feelings.

    Cultivating Mindfulness

    Incorporating gratitude into our daily routine encourages mindfulness, prompting us to be present in the moment. This practice allows us to observe our thoughts and feelings about pain without judgment. By integrating gratitude moments into mindfulness exercises, we can deepen our awareness of both our pain and our capacity for joy, creating a holistic approach to managing chronic pain.

    Developing Resilience

    Photo by Andrea Piacquadio on Pexels.com

    Finally, gratitude cultivates resilience. By focusing on the positive aspects of our lives, we can better adapt to the challenges posed by chronic pain. This resilient mindset not only helps us endure difficult moments but also empowers us to explore solutions and treatments that enhance our quality of life. Embracing gratitude invites us to see beyond our present struggles and fosters hope for healing and growth.

    Daily expressions of gratitude are a transformative practice for coping with chronic pain. By fostering a positive mindset, enhancing emotional well-being, building connections, cultivating mindfulness, and developing resilience, we can navigate our journey with greater clarity and strength, ultimately leading to a more fulfilling life.

    https://open.spotify.com/episode/0aAbwS4h06BaL9GSyYlaQk?si=AdV1LU1yRh6bZ-18fzWp_A

    Discover the beauty of resilience as you immerse yourself in this soothing guided meditation, thoughtfully designed to ease the physical and emotional burdens of chronic pain. Carry this sense of calm with you throughout your day, reminding yourself that you possess the inner strength and tools necessary to manage your pain. Thank you for dedicating this precious time to yourself.

    Namaste.

    #affirmation #awareness #balance #blessed #chronicIllness #chronicPain #chronicPainManagement #chronicPainRelief #emotionalWellness #experience #fibromyalgia #flow #gratitude #healing #health #holistic #holisticHealth #illness #lupus #managingPain #meditation #mentalHealth #mentalWellbeing #mentalWellness #mindful #moments #ms #pain #practice #spoonie #visualization

  22. City of Raleigh Government Event Guide – Tuesday April 28th Edition

    Stay informed and engaged with what’s happening across the City of Raleigh. From planning discussions to public art conversations, here’s your DoRaleigh City of Raleigh Government Event Guide for Tuesday, April 28, 2026.

    The DoRaleigh daily guide highlights key meetings, cancellations, and opportunities for residents to stay connected with local government.

    🏛️ Tuesday, April 28, 2026 – Raleigh Government Meetings

    🗂️ Planning Commission

    🕘 9:00 AM
    📍 Boards and Commissions
    The Planning Commission reviews development proposals, zoning cases, and long-term growth strategies shaping Raleigh’s future.

    💧 In-Person Water Billing Help Session

    🕙 10:00 AM
    📍 Garner Senior Center
    Residents can receive assistance with water bills, account questions, and payment options during this in-person help session.

    ⚠️ Cancelled Meetings (City Council Committees)

    The following committee meetings have been cancelled for today:

    • ❌ Community Safety and Quality of Life Committee
      🕦 11:30 AM
    • ❌ Economic Development and Innovation Committee
      🕜 1:30 PM
    • ❌ Housing and Environment Committee
      🕓 4:00 PM

    These committees typically address major topics like public safety, economic growth, housing affordability, and environmental policy.

    🎨 Public Art and Design Board Meeting

    🕔 5:00 PM
    📍 Boards and Commissions
    🔗 Virtual meeting option available

    The Public Art and Design Board focuses on Raleigh’s public art initiatives, cultural investments, and design standards that enhance the city’s visual identity and community spaces.

    📌 Why It Matters

    These meetings play a critical role in shaping Raleigh’s future—from housing and infrastructure to arts and innovation. Staying informed gives residents a voice in local decision-making and helps strengthen community engagement.

    🔗 How to Participate

    • Attend meetings in person when available
    • Join virtual sessions (links typically provided by the City)
    • Review agendas and materials ahead of time
    • Share public comments when applicable

    ⚠️ Know Before You Go

    Meeting times, locations, and statuses can change. Always verify details through official City of Raleigh channels before attending.

    Follow DoRaleigh.com for daily updates on government meetings, local festivals, and community happenings — your one-stop guide to everything Raleigh!

    Post your community News, Events, on our Submissions Page. If you interested in Advertising click here.

    Follow Us: Instagram | Facebook | BSky | Linkedin

    #CityOfRaleigh #CityOfRaleighGovernmentEventGuide #CivicEngagementRaleigh #DoRaleigh #events #localGovernmentRaleigh #News #raleigh #RaleighBoardsAndCommissions #RaleighCityCouncil #RaleighGovernment #RaleighNCMeetings #RaleighPlanningCommission #RaleighPublicArt
  23. The Android Show 2026: Android 17 – oto co Google przygotowało dla twórców

    Dla wielu twórców smartfon to główne narzędzie pracy – od uchwycenia momentu, przez montaż, aż po interakcję z fanami. Teraz Google obiecuje, że ma być łatwiej.

    Android 17 wprowadza pakiet aktualizacji, które mają sprawić, że zamiast walczyć z ograniczeniami technologicznymi, będziemy mogli skupić się na samej kreatywności.

    Screen Reactions: reakcje bez zielonego ekranu

    Tworzenie popularnych „reakcji” na trendy czy komentarze staje się banalnie proste. Dzięki funkcji Screen Reactions wystarczy kilka tapnięć, aby jednocześnie nagrywać siebie i to, co dzieje się na ekranie telefonu. Twoja twarz zostanie automatycznie nałożona na wyświetlaną treść, eliminując potrzebę korzystania z zewnętrznych aplikacji czy ustawiania green screena.

    Funkcja zadebiutuje na urządzeniach Pixel już tego lata.


    Instagram Pro: koniec z „gorszą jakością” na Androidzie

    Google połączyło siły z Meta, aby raz na zawsze rozwiązać problem jakości wideo w mediach społecznościowych. Na najbardziej zaawansowanych flagowcach z Androidem zadebiutuje w pełni zoptymalizowany Instagram:

    • Ultra HDR: rejestracja i odtwarzanie treści z niespotykaną dotąd dynamiką kolorów.
    • Wbudowana stabilizacja: płynne ujęcia nawet podczas tańca czy dynamicznego spaceru.
    • Integracja Night Sight: doskonała jakość relacji nawet w najciemniejszych klubach czy przy nocnym oświetleniu miasta.

    Co więcej, Google twierdzi, że dzięki całkowitej optymalizacji procesu od nagrania do publikacji, wideo z flagowych Androidów wypada w testach jakości UVQ (Universal Video Quality) tak samo lub lepiej niż u „głównego konkurenta”.

    Edits: sztuczna inteligencja w służbie montażu

    Ekskluzywnie na Androida trafi nowa wersja aplikacji Edits, która wykorzystuje AI do błyskawicznego „szlifowania” surowych nagrań.

    • Smart enhance: jedno dotknięcie wystarczy, aby systemowo podnieść rozdzielczość i jakość zdjęć oraz filmów przy użyciu zaawansowanych algorytmów on-device.
    • Sound separation: to koniec problemów z szumem wiatru czy przejeżdżającym autem w tle. Aplikacja automatycznie zidentyfikuje i odseparuje ścieżki audio, pozwalając Ci wyciszyć hałas i wzmocnić czystość głosu.

    APV i Adobe Premiere: mobilna stacja robocza

    Android staje się prawdziwą alternatywą dla komputera w pracy filmowca. Adobe Premiere trafi na Androida latem tego roku, oferując ekskluzywne szablony i efekty stworzone specjalnie pod format YouTube Shorts.

    Wdrażany jest też standard APV (Advanced Professional Video). To nowy, najbardziej wydajny pod kątem zajmowanego miejsca format wideo dla profesjonalistów. Opracowany wspólnie z Samsungiem, jest już dostępny na Galaxy S26 Ultra oraz vivo X300 Ultra.

    Na koniec podkreślono optymalizację Instagrama dla tabletów. Instagram otrzymał w końcu pełną optymalizację pod duże ekrany tabletów z Androidem, ułatwiając precyzyjną edycję treści i zarządzanie komentarzami.

    Meta wycofuje szyfrowane czaty na Instagramie. Opcjonalna funkcja zniknie w maju

    #AdobePremiereAndroid #Android17 #formatAPV #GoogleIO2026 #iMagazineTech #InstagramPro #mobilneWideo #SamsungGalaxyS26Ultra #ScreenReactions