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#aiskills — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #aiskills, aggregated by home.social.

  1. One thing I learned using #AI for coding:

    - Do not rely on internal knowledge, search documentation of source code, ask for source code upload.
    - Plan ahead before writing code. Wait for user confirmation or plan amendments.
    - Analyze possible problems on behavior, maintainability, scalability and security.
    - Include multiple solutions to comply with the prompt, from the most simple to the more complex.

    These prompts make a lot of difference.

    #Prompt #Prompts #AISkills #AIGuidelines #Code

  2. One thing I learned using #AI for coding:

    - Do not rely on internal knowledge, search documentation of source code, ask for source code upload.
    - Plan ahead before writing code. Wait for user confirmation or plan amendments.
    - Analyze possible problems on behavior, maintainability, scalability and security.
    - Include multiple solutions to comply with the prompt, from the most simple to the more complex.

    These prompts make a lot of difference.

    #Prompt #Prompts #AISkills #AIGuidelines #Code

  3. KDS Foundation @kierendaystudiosofficial.wordpress.com@kierendaystudiosofficial.wordpress.com ·

    Why Are AI Skills Becoming More Important Than Traditional Technical Skills?

    Artificial intelligence is rapidly becoming one of the most important technologies of the modern era.Businesses are integrating AI into workflows. Creators are using AI to produce content. Entrepreneurs are building AI-powered products. Employees are discovering new ways to automate repetitive tasks and improve productivity.As this transformation accelerates, an interesting shift is taking place.The most valuable skills are no longer limited to technical expertise alone.Instead, the ability […]

    kierendaystudiosofficial.wordp

  4. KDS Foundation @kierendaystudiosofficial.wordpress.com@kierendaystudiosofficial.wordpress.com ·

    Why Are AI Skills Becoming More Important Than Traditional Technical Skills?

    Artificial intelligence is rapidly becoming one of the most important technologies of the modern era.Businesses are integrating AI into workflows. Creators are using AI to produce content. Entrepreneurs are building AI-powered products. Employees are discovering new ways to automate repetitive tasks and improve productivity.As this transformation accelerates, an interesting shift is taking place.The most valuable skills are no longer limited to technical expertise alone.Instead, the ability […]

    kierendaystudiosofficial.wordp

  5. KDS Foundation @kierendaystudiosofficial.wordpress.com@kierendaystudiosofficial.wordpress.com ·

    What Skills Will Make You Rich in the AI Age?

    Artificial intelligence is changing the world at an incredible pace. New tools are being released every month, businesses are automating processes, and entire industries are being transformed by technologies that barely existed a few years ago. As a result, many people are asking an important question. What skills will actually matter in the age of artificial intelligence?It is a reasonable concern. If software can write articles, generate images, analyze data, answer questions, and perform […]

    kierendaystudiosofficial.wordp

  6. KDS Foundation @kierendaystudiosofficial.wordpress.com@kierendaystudiosofficial.wordpress.com ·

    What Skills Will Make You Rich in the AI Age?

    Artificial intelligence is changing the world at an incredible pace. New tools are being released every month, businesses are automating processes, and entire industries are being transformed by technologies that barely existed a few years ago. As a result, many people are asking an important question. What skills will actually matter in the age of artificial intelligence?It is a reasonable concern. If software can write articles, generate images, analyze data, answer questions, and perform […]

    kierendaystudiosofficial.wordp

  7. TECH FIRMS ADJUST INDIA HIRING AMID AI'S RECALIBRATION OF SKILLS

    Global companies in India are hiring fewer people and looking for specialized AI and tech skills. Find out how this affects job seekers.

    #IndiaHiring, #GCCS, #AISkills, #TechJobs, #FutureOfWork

    newsletter.tf/india-gcc-hiring

  8. Global companies in India are hiring fewer people for general roles and more for specialized tech jobs. This is a big change from last year's focus on just adding more workers.

    #IndiaHiring, #GCCS, #AISkills, #TechJobs, #FutureOfWork
    newsletter.tf/india-gcc-hiring

  9. Building AI skills? Master progressive disclosure. Start with core features, then reveal advanced options contextually. Keep prompts simple, use smart defaults, and layer complexity only when requested. This cuts cognitive load and boosts engagement. Test flows, refine prompts, share insights, and let complexity unfold naturally. #AISkills #ProgressiveDisclosure #UXDesign #AIdev #OpenSource

  10. Fear and Loathing of AI (Part III): “Learn AI” Is the New “Learn to Code”

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News

    There is a sentence that shows up in every technological cycle right before the disappointment phase begins.

    “Just learn the skill.”

    It sounds empowering. It sounds reasonable. It sounds like personal agency.

    It is also a lie we have been telling people for decades.

    The obedience script

    “Learn to code” was never about opportunity.
    It was about discipline.

    It trained people to accept that:

    • structural failures are personal problems,
    • economic insecurity is an individual moral test,
    • and survival depends on constant retraining at your own expense.

    When the promised jobs didn’t materialize—or paid far less than advertised—the story shifted seamlessly: you didn’t learn the right language, the right framework, the right stack.

    Now the phrase has been updated.

    “Learn AI.”

    Same script. Same pressure. Same outcome.

    Skills don’t collapse — markets do

    Coding did not fail because people were lazy or incapable. It failed because markets flooded, tools commoditized, and labor lost leverage.

    AI will follow the same arc, only faster.

    The moment a skill becomes:

    • widely accessible,
    • easily automated,
    • and expected rather than rewarded,

    it stops being a path to security and becomes a baseline requirement for staying afloat.

    The reward for compliance is not prosperity.
    It is continued participation.

    Training as cost transfer

    Here is what “learn AI” really means in practice:

    • You pay for the courses.
    • You absorb the time cost.
    • You shoulder the career risk.
    • You adapt repeatedly as tools change.
    • You accept lower pay because “AI makes you more efficient.”

    None of that is accidental.

    It is a system designed to push costs downward while extracting value upward.

    The more often you are told to retrain, the clearer it becomes that training itself is the product.

    The illusion of agency

    People are encouraged to believe that mastery equals control.

    But control does not come from skill alone.
    It comes from:

    • ownership,
    • bargaining power,
    • regulation,
    • and collective leverage.

    Without those, skill is just labor dressed up as self-improvement.

    Learning AI may help you keep your job a little longer.
    It will not protect you from the logic of the system deploying it.

    What learning actually means now

    This does not mean you should refuse to learn.

    It means you should learn without illusions.

    Learn AI the way you learn any tool:

    • to reduce friction,
    • to save time,
    • to extend what you already do.

    Do not learn it expecting salvation.
    Do not learn it expecting loyalty from platforms.
    Do not learn it expecting the market to reward you for effort.

    Markets reward leverage, not diligence.

    The quiet truth

    The most dangerous part of “learn AI” is not that it is false.

    It is that it is incomplete.

    It tells people how to adapt, but never who benefits.
    It demands flexibility, but never offers stability.
    It promises relevance, but never guarantees dignity.

    We have seen this cycle before.

    And it did not end with freedom.

    It ended with exhaustion.

    For more social commentary, please see Occupy 2.5 at https://Occupy25.com

    #AISkills #ArtificialIntelligence #economicPrecarity #futureOfWork #laborEconomics #learnToCode #Occupy25 #platformCapitalism #technologyHype #workforceRetraining #WPSNews
  11. Fear and Loathing of AI (Part III): “Learn AI” Is the New “Learn to Code”

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News

    There is a sentence that shows up in every technological cycle right before the disappointment phase begins.

    “Just learn the skill.”

    It sounds empowering. It sounds reasonable. It sounds like personal agency.

    It is also a lie we have been telling people for decades.

    The obedience script

    “Learn to code” was never about opportunity.
    It was about discipline.

    It trained people to accept that:

    • structural failures are personal problems,
    • economic insecurity is an individual moral test,
    • and survival depends on constant retraining at your own expense.

    When the promised jobs didn’t materialize—or paid far less than advertised—the story shifted seamlessly: you didn’t learn the right language, the right framework, the right stack.

    Now the phrase has been updated.

    “Learn AI.”

    Same script. Same pressure. Same outcome.

    Skills don’t collapse — markets do

    Coding did not fail because people were lazy or incapable. It failed because markets flooded, tools commoditized, and labor lost leverage.

    AI will follow the same arc, only faster.

    The moment a skill becomes:

    • widely accessible,
    • easily automated,
    • and expected rather than rewarded,

    it stops being a path to security and becomes a baseline requirement for staying afloat.

    The reward for compliance is not prosperity.
    It is continued participation.

    Training as cost transfer

    Here is what “learn AI” really means in practice:

    • You pay for the courses.
    • You absorb the time cost.
    • You shoulder the career risk.
    • You adapt repeatedly as tools change.
    • You accept lower pay because “AI makes you more efficient.”

    None of that is accidental.

    It is a system designed to push costs downward while extracting value upward.

    The more often you are told to retrain, the clearer it becomes that training itself is the product.

    The illusion of agency

    People are encouraged to believe that mastery equals control.

    But control does not come from skill alone.
    It comes from:

    • ownership,
    • bargaining power,
    • regulation,
    • and collective leverage.

    Without those, skill is just labor dressed up as self-improvement.

    Learning AI may help you keep your job a little longer.
    It will not protect you from the logic of the system deploying it.

    What learning actually means now

    This does not mean you should refuse to learn.

    It means you should learn without illusions.

    Learn AI the way you learn any tool:

    • to reduce friction,
    • to save time,
    • to extend what you already do.

    Do not learn it expecting salvation.
    Do not learn it expecting loyalty from platforms.
    Do not learn it expecting the market to reward you for effort.

    Markets reward leverage, not diligence.

    The quiet truth

    The most dangerous part of “learn AI” is not that it is false.

    It is that it is incomplete.

    It tells people how to adapt, but never who benefits.
    It demands flexibility, but never offers stability.
    It promises relevance, but never guarantees dignity.

    We have seen this cycle before.

    And it did not end with freedom.

    It ended with exhaustion.

    For more social commentary, please see Occupy 2.5 at https://Occupy25.com

    #AISkills #ArtificialIntelligence #economicPrecarity #futureOfWork #laborEconomics #learnToCode #Occupy25 #platformCapitalism #technologyHype #workforceRetraining #WPSNews
  12. Fear and Loathing of AI (Part III): “Learn AI” Is the New “Learn to Code”

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News

    There is a sentence that shows up in every technological cycle right before the disappointment phase begins.

    “Just learn the skill.”

    It sounds empowering. It sounds reasonable. It sounds like personal agency.

    It is also a lie we have been telling people for decades.

    The obedience script

    “Learn to code” was never about opportunity.
    It was about discipline.

    It trained people to accept that:

    • structural failures are personal problems,
    • economic insecurity is an individual moral test,
    • and survival depends on constant retraining at your own expense.

    When the promised jobs didn’t materialize—or paid far less than advertised—the story shifted seamlessly: you didn’t learn the right language, the right framework, the right stack.

    Now the phrase has been updated.

    “Learn AI.”

    Same script. Same pressure. Same outcome.

    Skills don’t collapse — markets do

    Coding did not fail because people were lazy or incapable. It failed because markets flooded, tools commoditized, and labor lost leverage.

    AI will follow the same arc, only faster.

    The moment a skill becomes:

    • widely accessible,
    • easily automated,
    • and expected rather than rewarded,

    it stops being a path to security and becomes a baseline requirement for staying afloat.

    The reward for compliance is not prosperity.
    It is continued participation.

    Training as cost transfer

    Here is what “learn AI” really means in practice:

    • You pay for the courses.
    • You absorb the time cost.
    • You shoulder the career risk.
    • You adapt repeatedly as tools change.
    • You accept lower pay because “AI makes you more efficient.”

    None of that is accidental.

    It is a system designed to push costs downward while extracting value upward.

    The more often you are told to retrain, the clearer it becomes that training itself is the product.

    The illusion of agency

    People are encouraged to believe that mastery equals control.

    But control does not come from skill alone.
    It comes from:

    • ownership,
    • bargaining power,
    • regulation,
    • and collective leverage.

    Without those, skill is just labor dressed up as self-improvement.

    Learning AI may help you keep your job a little longer.
    It will not protect you from the logic of the system deploying it.

    What learning actually means now

    This does not mean you should refuse to learn.

    It means you should learn without illusions.

    Learn AI the way you learn any tool:

    • to reduce friction,
    • to save time,
    • to extend what you already do.

    Do not learn it expecting salvation.
    Do not learn it expecting loyalty from platforms.
    Do not learn it expecting the market to reward you for effort.

    Markets reward leverage, not diligence.

    The quiet truth

    The most dangerous part of “learn AI” is not that it is false.

    It is that it is incomplete.

    It tells people how to adapt, but never who benefits.
    It demands flexibility, but never offers stability.
    It promises relevance, but never guarantees dignity.

    We have seen this cycle before.

    And it did not end with freedom.

    It ended with exhaustion.

    For more social commentary, please see Occupy 2.5 at https://Occupy25.com

    #AISkills #ArtificialIntelligence #economicPrecarity #futureOfWork #laborEconomics #learnToCode #Occupy25 #platformCapitalism #technologyHype #workforceRetraining #WPSNews
  13. Fear and Loathing of AI (Part III): “Learn AI” Is the New “Learn to Code”

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News

    There is a sentence that shows up in every technological cycle right before the disappointment phase begins.

    “Just learn the skill.”

    It sounds empowering. It sounds reasonable. It sounds like personal agency.

    It is also a lie we have been telling people for decades.

    The obedience script

    “Learn to code” was never about opportunity.
    It was about discipline.

    It trained people to accept that:

    • structural failures are personal problems,
    • economic insecurity is an individual moral test,
    • and survival depends on constant retraining at your own expense.

    When the promised jobs didn’t materialize—or paid far less than advertised—the story shifted seamlessly: you didn’t learn the right language, the right framework, the right stack.

    Now the phrase has been updated.

    “Learn AI.”

    Same script. Same pressure. Same outcome.

    Skills don’t collapse — markets do

    Coding did not fail because people were lazy or incapable. It failed because markets flooded, tools commoditized, and labor lost leverage.

    AI will follow the same arc, only faster.

    The moment a skill becomes:

    • widely accessible,
    • easily automated,
    • and expected rather than rewarded,

    it stops being a path to security and becomes a baseline requirement for staying afloat.

    The reward for compliance is not prosperity.
    It is continued participation.

    Training as cost transfer

    Here is what “learn AI” really means in practice:

    • You pay for the courses.
    • You absorb the time cost.
    • You shoulder the career risk.
    • You adapt repeatedly as tools change.
    • You accept lower pay because “AI makes you more efficient.”

    None of that is accidental.

    It is a system designed to push costs downward while extracting value upward.

    The more often you are told to retrain, the clearer it becomes that training itself is the product.

    The illusion of agency

    People are encouraged to believe that mastery equals control.

    But control does not come from skill alone.
    It comes from:

    • ownership,
    • bargaining power,
    • regulation,
    • and collective leverage.

    Without those, skill is just labor dressed up as self-improvement.

    Learning AI may help you keep your job a little longer.
    It will not protect you from the logic of the system deploying it.

    What learning actually means now

    This does not mean you should refuse to learn.

    It means you should learn without illusions.

    Learn AI the way you learn any tool:

    • to reduce friction,
    • to save time,
    • to extend what you already do.

    Do not learn it expecting salvation.
    Do not learn it expecting loyalty from platforms.
    Do not learn it expecting the market to reward you for effort.

    Markets reward leverage, not diligence.

    The quiet truth

    The most dangerous part of “learn AI” is not that it is false.

    It is that it is incomplete.

    It tells people how to adapt, but never who benefits.
    It demands flexibility, but never offers stability.
    It promises relevance, but never guarantees dignity.

    We have seen this cycle before.

    And it did not end with freedom.

    It ended with exhaustion.

    For more social commentary, please see Occupy 2.5 at https://Occupy25.com

    #AISkills #ArtificialIntelligence #economicPrecarity #futureOfWork #laborEconomics #learnToCode #Occupy25 #platformCapitalism #technologyHype #workforceRetraining #WPSNews
  14. Fear and Loathing of AI (Part III): “Learn AI” Is the New “Learn to Code”

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News

    There is a sentence that shows up in every technological cycle right before the disappointment phase begins.

    “Just learn the skill.”

    It sounds empowering. It sounds reasonable. It sounds like personal agency.

    It is also a lie we have been telling people for decades.

    The obedience script

    “Learn to code” was never about opportunity.
    It was about discipline.

    It trained people to accept that:

    • structural failures are personal problems,
    • economic insecurity is an individual moral test,
    • and survival depends on constant retraining at your own expense.

    When the promised jobs didn’t materialize—or paid far less than advertised—the story shifted seamlessly: you didn’t learn the right language, the right framework, the right stack.

    Now the phrase has been updated.

    “Learn AI.”

    Same script. Same pressure. Same outcome.

    Skills don’t collapse — markets do

    Coding did not fail because people were lazy or incapable. It failed because markets flooded, tools commoditized, and labor lost leverage.

    AI will follow the same arc, only faster.

    The moment a skill becomes:

    • widely accessible,
    • easily automated,
    • and expected rather than rewarded,

    it stops being a path to security and becomes a baseline requirement for staying afloat.

    The reward for compliance is not prosperity.
    It is continued participation.

    Training as cost transfer

    Here is what “learn AI” really means in practice:

    • You pay for the courses.
    • You absorb the time cost.
    • You shoulder the career risk.
    • You adapt repeatedly as tools change.
    • You accept lower pay because “AI makes you more efficient.”

    None of that is accidental.

    It is a system designed to push costs downward while extracting value upward.

    The more often you are told to retrain, the clearer it becomes that training itself is the product.

    The illusion of agency

    People are encouraged to believe that mastery equals control.

    But control does not come from skill alone.
    It comes from:

    • ownership,
    • bargaining power,
    • regulation,
    • and collective leverage.

    Without those, skill is just labor dressed up as self-improvement.

    Learning AI may help you keep your job a little longer.
    It will not protect you from the logic of the system deploying it.

    What learning actually means now

    This does not mean you should refuse to learn.

    It means you should learn without illusions.

    Learn AI the way you learn any tool:

    • to reduce friction,
    • to save time,
    • to extend what you already do.

    Do not learn it expecting salvation.
    Do not learn it expecting loyalty from platforms.
    Do not learn it expecting the market to reward you for effort.

    Markets reward leverage, not diligence.

    The quiet truth

    The most dangerous part of “learn AI” is not that it is false.

    It is that it is incomplete.

    It tells people how to adapt, but never who benefits.
    It demands flexibility, but never offers stability.
    It promises relevance, but never guarantees dignity.

    We have seen this cycle before.

    And it did not end with freedom.

    It ended with exhaustion.

    For more social commentary, please see Occupy 2.5 at https://Occupy25.com

    #AISkills #ArtificialIntelligence #economicPrecarity #futureOfWork #laborEconomics #learnToCode #Occupy25 #platformCapitalism #technologyHype #workforceRetraining #WPSNews
  15. Volles Haus heute bei der Informationsveranstaltung zu #ChatGPT in der universitären Lehre - sowohl virtuell als auch vor Ort an der #HUBerlin. Wir freuen uns über den großen Zuspruch & die spannenden Diskussionen, denn das Thema brennt & wird uns noch lange beschäftigen.

    ℹ️ Blogbeitrag folgt. Den Foliensatz könnt ihr unter folgendem Link aufrufen: furesh.github.io/slides/2023-0

    #AISkills #FuReSH #DigitalHistory #DigitalHumanities #histodons #histodon #digiGW #education #teaching @histodons

  16. Volles Haus heute bei der Informationsveranstaltung zu #ChatGPT in der universitären Lehre - sowohl virtuell als auch vor Ort an der #HUBerlin. Wir freuen uns über den großen Zuspruch & die spannenden Diskussionen, denn das Thema brennt & wird uns noch lange beschäftigen.

    ℹ️ Blogbeitrag folgt. Den Foliensatz könnt ihr unter folgendem Link aufrufen: furesh.github.io/slides/2023-0

    #AISkills #FuReSH #DigitalHistory #DigitalHumanities #histodons #histodon #digiGW #education #teaching @histodons