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#syntheticmachines — Public Fediverse posts

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

  1. #AntiPatterns are examples of common solutions to recurring problems.

    The solutions are either ineffective or counter-productive.

    Since “pattern synthesis” has been rebranded as “AI”, it’s worth revisiting emerging anti-patterns of #SyntheticMachines.

    #PatternSynthesis #FirstPrinciples #GenerativeAI

    superversive.co/essays/anti-pa

  2. #AntiPatterns are examples of common solutions to recurring problems.

    The solutions are either ineffective or counter-productive.

    Since “pattern synthesis” has been rebranded as “AI”, it’s worth revisiting emerging anti-patterns of #SyntheticMachines.

    #PatternSynthesis #FirstPrinciples #GenerativeAI

    superversive.co/essays/anti-pa

  3. #AntiPatterns are examples of common solutions to recurring problems.

    The solutions are either ineffective or counter-productive.

    Since “pattern synthesis” has been rebranded as “AI”, it’s worth revisiting emerging anti-patterns of #SyntheticMachines.

    #PatternSynthesis #FirstPrinciples #GenerativeAI

    superversive.co/essays/anti-pa

  4. #AntiPatterns are examples of common solutions to recurring problems.

    The solutions are either ineffective or counter-productive.

    Since “pattern synthesis” has been rebranded as “AI”, it’s worth revisiting emerging anti-patterns of #SyntheticMachines.

    #PatternSynthesis #FirstPrinciples #GenerativeAI

    superversive.co/essays/anti-pa

  5. #AntiPatterns are examples of common solutions to recurring problems.

    The solutions are either ineffective or counter-productive.

    Since “pattern synthesis” has been rebranded as “AI”, it’s worth revisiting emerging anti-patterns of #SyntheticMachines.

    #PatternSynthesis #FirstPrinciples #GenerativeAI

    superversive.co/essays/anti-pa

  6. “Sora generates responses based on the data that it has been trained upon, which results in content that is reality-adjacent, but not actually realistic.”

    @lightweight

    #TrainingData #SyntheticMachines #PatternSynthesis

  7. “Sora generates responses based on the data that it has been trained upon, which results in content that is reality-adjacent, but not actually realistic.”

    @lightweight

    #TrainingData #SyntheticMachines #PatternSynthesis

  8. “Sora generates responses based on the data that it has been trained upon, which results in content that is reality-adjacent, but not actually realistic.”

    @lightweight

    #TrainingData #SyntheticMachines #PatternSynthesis

  9. “Sora generates responses based on the data that it has been trained upon, which results in content that is reality-adjacent, but not actually realistic.”

    @lightweight

    #TrainingData #SyntheticMachines #PatternSynthesis

  10. “Sora generates responses based on the data that it has been trained upon, which results in content that is reality-adjacent, but not actually realistic.”

    @lightweight

    #TrainingData #SyntheticMachines #PatternSynthesis