Processing and analyzing huge amounts of information in seconds.
Infinite memory for storing and memorizing data.
Non-stop work, tirelessness and high reaction speed in real time.
Rapid learning and adaptation to new situations thanks to machine learning algorithms.
It's hard to disagree. The ideal worker is one who quickly and accurately completes assignments, provided the prompt is well-written. Indeed, it's important to learn how to work with and communicate with a neural network so that its results meet expectations. To do this, it's important to understand the features of various tools, test them for usability and functionality, adjust the settings to suit your needs, and learn how to create clear, relevant requests. You should also consider the drawbacks that AI is not without.
Artificial intelligence lacks emotions and empathy
It is incapable of expressing feelings or empathizing, even when deadlines are looming and projects are falling through.
A neural network cannot interact with humans on an equal footing and lacks moral and ethical principles. Ask it to evaluate its actions from a moral perspective or present it with a difficult ethical choice—it will rely on the algorithms and preferences defined by its developers.
AI does not possess consciousness and self-awareness - it does not understand its role in this world, its thoughts, or experiences, as humans do.
And finally, the lack of creativity and intuition deprives AI of any chance of competing with content creators. Certainly, a neural network generates new ideas and creates new material, but only based on the data it receives from humans.
A Neural Network That Handles Creativity: How AI Impacts Content Creators
What to feed a dragon?
AI requires a large data set for training: video, comoros telemarketing database audio, images, text. The type of information depends on the neural network and the human goals. The more content the machine receives, the better the results. You can also add your own proprietary materials to publicly available datasets. But there's a catch.
The sale of the painting "Portrait of Edmond Belamy" is worth recalling. In 2018, a work created by artificial intelligence was auctioned at Christie's for the first time. The lot fetched $432,000. The portrait was based on works by famous artists—a special algorithm was fed 15,000 paintings painted between the 14th and 20th centuries. The AI studied them and created its own version of the portrait, as close as possible to the style of the historical examples.
It turns out that a neural network can be trained on the works of great people: scientists, writers, and artists. If a neural network studies all of Rowling's works, it will offer its own version of "The Order of the Phoenix." We won't speculate on who would read a book written by AI. We'll simply emphasize that, by default, people want to gain new knowledge and are inspired by fresh ideas. Any repetition, clichés, or standards don't resonate widely. Yet, even such neural network work could become a cutting-edge tool in the hands of a writer. Or a con artist.