The problem is that neural networks were trained on artists' works without the authors' consent and without compensation for any financial gain. Specifically, companies using Stable Diffusion software violated the Digital Millennium Copyright Act. The issue of authorship of AI-generated works has yet to be resolved, but for now, artists, screenwriters, and content creators are battling it out and worrying about growing competition.
Another problem with neural networks is hallucinations. chad telemarketing database AI is trained on massive amounts of data, often unverified, false, and contradictory. Furthermore, it cannot account for current situations and changes. For example, ChatGPT was trained on books, scientific articles, and website information accessible until April 2023, so it warns about the need to verify the search results.
A Neural Network That Handles Creativity: How AI Impacts Content Creators
The practical side of interacting with AI
If AI is used not by scammers seeking profit, but by authors facing a specific problem, the algorithm can become an indispensable assistant. For example, the fear of writing in front of a blank page—something all writers face sooner or later. With AI, freewriting, a way to overcome this nagging fear, reaches a new level: you can throw out random ideas to a "smart" chat, ultimately arriving at the desired solutions or original plot twists.
It's important to remember: AI is not an author, but merely a tool that should be mastered now. When interacting with neural networks, it's essential to adhere to simple rules.
Attention to detail. Once the initial excitement of using neural networks has subsided, it's important for a designer to consider not only the overall aesthetics of their work but also the details. This primarily concerns the proportions of the human body: eyes, joints, fingers, and hands.
Your own personal collection. You can set the visual or textual style, create true artifacts in the Dune genre, or poems in the spirit of Vysotsky or Pushkin. Save successful prompts, memorize effective channels, and study your colleagues' recommendations.
Delegation. Customize services and tools to suit your needs. Train it by feeding it the materials you use in your work. This way, you'll create a personalized assistant that can take on some of your work: proofreading texts, preparing sketches and illustrations, creating plans, analyzing data, and compiling materials for presentations and speeches.
Rigorous fact-checking. If you're working with texts, verify the data: numbers, dates, statistics. Clarify sources of data, request links to the original material. Reframe your request if in doubt. And you should always be doubtful.