Artificial intelligence: Difference between revisions

Line 4:

since the November 2022 launch of [[ChatGPT]], with tens of billions of dollars in funding allocated to producing more popular LLMs. Also, a significant focus is on [[wikipedia:Text-to-image model|text-to-image models]], which "draw" an image using a written prompt, and less commonly, [[wikipedia:Text-to-video model|text-to-video models]], which extend the text-to-image concept across several smooth video frames.

~~So far, no AI solutions are intelligent.~~ AI is not a new concept; it has been of interest since the 1950s. AI is a catch-all term~~; it encompasses~~ many areas and techniques~~, so merely stating that something uses AI tells us little about it~~.

AI is not a new concept; it has been of interest since the 1950s. AI is a catch-all term, encompassing many areas and techniques.

[[wikipedia:Generative artificial intelligence|Generative artificial intelligence]] models are trained through vast amounts of existing human-generated content. Using the example of an LLM, by gathering statistics on patterns of words that people use, the model can generate sequences of words that seem similar to what a person might have written. LLM does not understand anything; they cannot reason. Everything they generate is just a randomly modulated pattern of tokens. People reading sequences of tokens sometimes perceive things they think are true. Sequences that do not make sense to the reader, or that are false, are called [[wikipedia:Hallucination (artificial intelligence)|hallucinations]]. LLMs are typically trained to produce output that is pleasing to people, exhibiting [[dark patterns]]. For example, they often produce output which seems confidently written, use patterns which praise the user (sycophancy), and employ emotionally manipulative language.

@@ Line 4: / Line 4: @@
 since the November 2022 launch of [[ChatGPT]], with tens of billions of dollars in funding allocated to producing more popular LLMs. Also, a significant focus is on [[wikipedia:Text-to-image model|text-to-image models]], which "draw" an image using a written prompt, and less commonly, [[wikipedia:Text-to-video model|text-to-video models]], which extend the text-to-image concept across several smooth video frames.
-So far, no AI solutions are intelligent.  AI is not a new concept; it has been of interest since the 1950s. AI is a catch-all term; it encompasses many areas and techniques, so merely stating that something uses AI tells us little about it.
+AI is not a new concept; it has been of interest since the 1950s. AI is a catch-all term, encompassing many areas and techniques.
 [[wikipedia:Generative artificial intelligence|Generative artificial intelligence]] models are trained through vast amounts of existing human-generated content. Using the example of an LLM, by gathering statistics on patterns of words that people use, the model can generate sequences of words that seem similar to what a person might have written.  LLM does not understand anything; they cannot reason.  Everything they generate is just a randomly modulated pattern of tokens.  People reading sequences of tokens sometimes perceive things they think are true.  Sequences that do not make sense to the reader, or that are false, are called [[wikipedia:Hallucination (artificial intelligence)|hallucinations]].   LLMs are typically trained to produce output that is pleasing to people, exhibiting [[dark patterns]]. For example, they often produce output which seems confidently written, use patterns which praise the user (sycophancy), and employ emotionally manipulative language.