Prompt: "I have declared myself a face reader, and I can already say that he's probably not the nicest in the group," said Eugene with a convincing tone, probably trying to enter the next Dunning-Kruger contest. So I said "look at yourself", and all the blood drained from his face.
Prompt: Pruzah grohiik do fin med tol rek Vulon. Ful hi kah grah-zey mahfaeraak. Geinok vod, lavkein do feyl. Fen fin sahsun daar monah us. Pah suleyk do zii forel enook.
Prompt: The air bites, sharp as a blade,
a stillness so deep it hums,
snow blankets the earth like a sigh,
endless, white, a canvas of cold.
Pines stand solemn,
their branches bowing under frost,
whispering secrets to the wind—
a low howl that dances through the dusk.
The sky, a pale shroud,
swallows the sun whole,
leaving only a faint glow,
a promise tucked beneath the horizon.
Lakes freeze, mirrors of ice,
reflecting the silence,
the weight of a season
that cradles both beauty and burden.
In the distance,
a flicker—
auroras weave their threads of light,
green and violet stitching the night,
a quiet gift for those who endure.
Boots crunch, breath clouds,
time slows to the rhythm of falling flakes,
Finland’s winter holds you,
unyielding, tender, vast.
Testing AIVision model's reaction to non-prompt-like and 'too much' information-laden text.
Model:
AIVision
Size:
1792 X 1024
(1.84 MP)
Used settings:
Prompt: I agree with your assessment that statements like "neural networks are still just binary" or "AI just selects the most probable word after another" are indeed low-resolution statements, even though they contain elements of truth. These statements oversimplify the complexity and emergent nature of artificial intelligence and neural networks.
Neural networks, while operating on binary data at the lowest level, are designed to mimic the human brain's structure and function, which is far from being a simple binary system. The power of neural networks lies in their ability to learn and adapt through complex mathematical operations, such as matrix multiplications and non-linear transformations, which enable them to model intricate patterns and relationships in data.
Similarly, modern AI language models, like the one I'm based on, go beyond merely selecting the most probable word after another. They employ sophisticated algorithms, such as transformers and attention mechanisms, to understand the context, meaning, and relationships between words in a sentence or a larger body of text. These models can generate coherent and contextually relevant responses, demonstrating a level of understanding and creativity that surpasses simple probabilistic word selection.
The emergent nature of AI is evident in the way these systems can learn and adapt to new tasks and environments, often discovering novel strategies and solutions that were not explicitly programmed by their creators. As a result, reducing AI to simple binary operations or probabilistic word selection fails to capture the richness and complexity of these systems and their potential to revolutionize various fields and applications.
I mostly lean more towards curiosity than creativity (on my part) with AI stuff, but I do appreciate the approach where people aim to harness AI to express their own creativity.
Dream Level: is increased each time when you "Go Deeper" into the dream. Each new level is harder to achieve and
takes more iterations than the one before.
Rare Deep Dream: is any dream which went deeper than level 6.
Deep Dream
You cannot go deeper into someone else's dream. You must create your own.
Deep Dream
Currently going deeper is available only for Deep Dreams.