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Rather than modeling writing as a creative process, the love letter algorithm represents the writing of love letters as formulaic and without creativity. [8] The algorithm has the following structure: Print two words taken from a list of salutations; Do the following 5 times: Choose one of two sentence structures depending on a random value Rand
John Clark's Latin Verse Machine (1830–1843) is probably the first example of mechanised generative literature, [1] [2] while Christopher Strachey's love letter generator (1952) is the first digital example. [3] With the large language models (LLMs) of the 2020s, generative literature is becoming increasingly common.
The 1952 love letter generator that the British computer scientist Christopher Strachey wrote for the Manchester Mark 1 computer is probably the first example of literature that requires a computer to be generated or read. [13] [14] [15] The work generates short love letters, and is an example of combinatory poetry, also called generative ...
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An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
Brent Spiner portrayed the benevolent AI Data in Star Trek: The Next Generation. Optimistic visions of the future of artificial intelligence are possible in science fiction. [12] Benign AI characters include Robbie the Robot, first seen in Forbidden Planet on 1956; Data in Star Trek: The Next Generation from 1987 to 1994; and Pixar's WALL-E in ...
You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place is a 2019 nonfiction book by optics research scientist Janelle Shane. The book documents experiences the author and others have had with machine learning programs, and discusses what " intelligence " means in the context of ...
The letter highlights both the positive and negative effects of artificial intelligence. [7] According to Bloomberg Business, Professor Max Tegmark of MIT circulated the letter in order to find common ground between signatories who consider super intelligent AI a significant existential risk, and signatories such as Professor Oren Etzioni, who believe the AI field was being "impugned" by a one ...