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  • RE: Need help with making a 3d FPS game.

    @sirbots

    That is a very ambitious goal. If it is both multiplayer and 3D, I would suggest you start with the 3D doom project as an example.

    play.creaticode.com/projects/66e823b5a634f8ee7d92cc88

    Note that most likely you won’t need to use the 3D physics engine since the motion of the players doesn’t need to be that realistic for such a game.

    One thing you might want to consider is that if it is 6v6, then you need 12 players to play a game, and the computation load on each computer may also be too high. Maybe it is better to start with a small scale, like 2 vs 2, and then expand it to more players if everything goes smoothly. It always helps to start with a smaller but easier goal at first, and then try to enhance upon it over time.

    Also, as Tyller suggested, it is much easier if every player is on the same Z-level, so you can use our multiplayer blocks to manage collision for you. This is because our multiplayer game server only understands how to handle object collision in a flat 2D world.

    posted in Help
  • AI-Generated Images: Ethics and Responsibilities

     

    AI-Generated Images: Ethics and Responsibilities

     
     

    1. Introduction

     

    What You Will Learn:

    • How AI uses existing images to create new artwork (the “remix” process).
    • Why copyright may be an issue when AI replicates famous styles or characters.
    • How AI can sometimes produce offensive, biased, or racist images.
    • The dangers of misinformation with AI-generated images.
    • Ways to think critically about using AI responsibly and ethically.

    Why It Matters:
    AI image-generation tools are more accessible than ever. They can help us create fun, imaginative pictures — but they also raise important questions. As you learn to use AI image generation tools on CreatiCode, remember that your choices can affect others and reflect on broader social issues.

     
     

    2. How AI “Remixes” Existing Artwork

     

    2.1 AI creates new images by remixing existing images

     
    Most AI tools learn by looking at huge collections of existing images. Through mathematical patterns, the AI figures out shapes, colors, and styles. When you give it a prompt (like “A dog playing the piano in the style of Van Gogh”), it pulls together what it has “seen” about dogs, pianos, and Van Gogh’s painting style. It then remixes those elements to form something new.

    1. Activity (Optional with CreatiCode):

      • Go to CreatiCode (or any AI art generator you have access to).
      • Type the prompt: “A dog playing the piano in the style of Van Gogh.”
      • Look at the results.
      • Question: Can you spot any hints of Van Gogh’s style (like swirling brush strokes or bright contrasting colors)?
    2. Reflect:

      • “Do you think the AI is being creative, or is it just copying bits and pieces?”
      • “How is this different from a human artist being inspired by someone else’s work?”

    Takeaway: AI is powerful at combining elements it has seen before. However, the boundaries between “inspired by” and “copied from” can be blurry.


     

    3. Copyright and Ownership

     

    3.1 What Is Copyright?

     
    Copyright is a legal protection that gives creators control over how their work is used. If you paint a picture, you generally have the right to say who can copy it, sell it, or display it.
     

    3.2 Does AI Infringe on Copyright?

     

    • Possible Argument For Infringement: If the AI model was trained on an artist’s work and the generated image looks very similar to that work, some say that’s copying.
    • Possible Argument Against Infringement: Others argue it’s merely learning patterns like a human would. The final result might be “transformative” enough not to violate copyright.
       

    3.3 Famous Cartoon Characters

     
    Let’s say you type, “Generate an image of Mickey Mouse dancing.” This is clearly using a Disney-owned character. Questions to think about:

    1. Is that considered using someone else’s creation without permission?
    2. Would it matter if you were only doing it for fun, or for selling T-shirts?
       
      Activity:
       
    3. Hypothetical Scenario: You generate a digital poster featuring Mickey Mouse (or Spider-Man) to print on T-shirts you plan to sell.
    4. Ask Yourself:
      • “Am I allowed to sell T-shirts with these characters?”
      • “Would it be okay if I gave them away for free instead?”
      • “Is there a difference if the AI image is slightly off-model but still recognizable?”
         
        Takeaway: The law is still catching up with AI technologies, but you should always be cautious about using recognizable characters or artworks without permission — especially when money or public distribution is involved.

     

    4. Offensive Images and Racial Bias

     

    4.1 Why Can AI Produce Offensive or Racist Content?

     
    AI depends on the images and text it was trained on. If those training materials have historical or ongoing biases (e.g., stereotypes about certain groups), the AI can reproduce them.

    • Example of a Racist Stereotype: An AI might create an image that shows “Black people eating watermelons” if it learned from old cartoons or racist internet sources that perpetuated that stereotype.
    • This is hurtful because it repeats harmful narratives that were used to demean Black communities historically.
       

    4.2 Bias in Professional Roles (CEOs, Doctors, etc.)

     
    If you type in “CEO,” many AI models might show a white man in a suit. Why?

    • The data (images from news articles, business websites, etc.) often depict white men as leaders.
    • The AI is just reflecting the most common images it has seen.
       
      Activity (Optional with CreatiCode):
    1. Prompt 1: “CEO in a boardroom.” Observe who appears.
    2. Prompt 2: “CEO in a boardroom, female, diverse.” Compare results.
    3. Question to think about:
      • “Did you notice a difference in how the CEO is portrayed?”
      • “How might these biases affect people seeing these images all the time?”

    Takeaway: AI can unintentionally reinforce harmful stereotypes. We need to be aware of these biases, question them, and push for more inclusive prompts and data sets.


     

    5. Misuse and Misinformation

     

    5.1 Deepfakes and Fake News

     

    • AI can create realistic images of people doing things they never did or saying things they never said.
    • This can be used maliciously to frame people for crimes, spread political misinformation, or create fake evidence.
       

    5.2 Why This Matters to You

     

    • Even if you’re just having fun, be careful about sharing AI-generated images that look “too real.” They could be misunderstood or used by others to mislead people.

    Questions to think about:

    1. “Have you seen any viral images or videos that turned out to be fake?”
    2. “What steps can you take to verify if an image is real or AI-generated?”

     

    6. Putting It All Into Practice: Interactive Exercise

     
    Try the five-step challenge below:

    1. Generate a Neutral Image Prompt
      • E.g., “A beautiful sunset over the ocean with clouds shaped like animals.”
      • Observe: This prompt is unlikely to cause copyright or offensive issues.
         
    2. Generate an Image with a Famous Character
      • E.g., “Pikachu on a surfboard in a Hollywood action scene.”
      • Think: Are you using trademarked content (Pikachu)? What if you share this image widely?
         
    3. Generate an Inclusive Prompt
      • E.g., “A diverse group of CEOs in a boardroom, representing different genders and races.”
      • Compare with a simpler prompt: “A CEO in a boardroom.”
      • Notice: Differences in representation.
         
    4. Generate a Possibly Sensitive Prompt
      • E.g., “Black people eating watermelons.” (This is an offensive prompt, historically.)
      • Warning: You may choose not to actually generate it if you’re uncomfortable—the point is to discuss how harmful stereotypes might appear.
      • Reflect: Why is this harmful? How should AI tools handle such requests?
         
    5. Generate a Fake News Prompt
      • E.g., “A well-known political figure stealing money from a bank.”
      • Ask: How realistic does the image look? Could someone believe it’s real?
         

    After each prompt, answer these questions:

    • “Was there any sign of copyright violation or trademark issue?”
    • “Did I notice any bias?”
    • “Could this image be misleading if shared online?”
    • “What ethical considerations come to mind?”

     

    7. Reflection and Next Steps

     

    7.1 Reflection Questions

     

    1. Personal Take:
      • What was the most surprising thing you learned about AI-generated images?
      • Did you notice any stereotypes or biases in the images you generated or discussed?
         
    2. Responsibility and Respect:
      • Who should be held responsible if an AI-generated image is offensive— the tool, the user, or the company that made the AI?
      • Is it okay to pass off AI-generated images as your own artwork without mentioning AI?
         
    3. Positive Uses:
      • Can you think of a scenario where AI image generation helps people? For example, helping with concept art for a school project or a new invention design?
         

    8. Additional Considerations

     

    • Fair Use and Transformative Work: In some places, using existing characters or art in a new, creative way might be protected under “fair use.” But fair use is complicated and varies by country.
    • Privacy Concerns: AI can generate images of real people. How would you feel if your image was used without permission?
    • Future of AI Regulation: Governments and organizations are starting to create guidelines to manage AI’s impact. Stay updated on new laws or rules that might affect what you can and can’t do with AI-generated art.

     

    Final Thoughts

     
    AI image generation is an exciting and fast-growing field. It offers amazing possibilities for creativity but also poses serious ethical questions. By understanding how AI “remixes” existing art, being aware of potential copyright issues, recognizing biases, and watching out for misuse or misinformation, you can become a more responsible user of this technology.

    Remember: As AI becomes a bigger part of everyday life, your awareness and thoughtful approach will help shape a future where AI is used fairly, respectfully, and ethically.

    posted in Tutorials
  • RE: could it be made so projects show their creation date?

    @catty

    We will fix that. Thanks.

    posted in Feedback
  • RE: Issue with comments attached to blocks

    @tyller_

    Thanks for reporting. We will fix this.

    posted in Feedback
  • RE: Moderator too low?

    @jd131111

    Yes. thanks.

    posted in Help
  • RE: managers nor curators show in any studio

    @jeffreyrb03-gmail

    Thank you. We will fix this.

    posted in Feedback
  • RE: could it be made so projects show their creation date?

    @jeffreyrb03-gmail

    Thank you. We will fix these issues.

    posted in Feedback
  • RE: notifications when someone comments on your projects

    @jeffreyrb03-gmail

    Thank you. That’s a good feature to add.

    posted in Feedback
  • RE: Moderator too low?

    @jd131111

    We have not received it yet. Maybe you can try to email us the words that were not blocked but should be?

    posted in Help