Recent episode of the famed TV show '60 Minutes' discussed how 'surprisingly' generative AI might seem to pick up additional languages, which isn't necessarily as much a mystery as alluded to. Here's the real scoop.
The development and promulgation of Ethical AI precepts are being pursued to hopefully prevent society from falling into a myriad of AI-inducing traps. For my coverage of the UN AI Ethics principles as devised and supported by nearly 200 countries via the efforts of UNESCO, see
“Accumulating evidence shows how language context shapes bilingual language use and its cognitive consequences. However, few studies have considered the impact of language context for monolinguals. Although monolinguals’ language processing is assumed to be relatively stable and homogeneous, some research has shown novel learning through exposure alone.
In short, a common suspected phenomenon is that a child that learns only one language during childhood is not somehow formulating a broadened capacity for learning languages all told. If they learn at least a second language, in theory, this is enabling their mind to discern how languages contrast and compare. In turn, this is setting them up for being more versed in that second language than would an adult that learns the second language while an adult.
Consider this excerpt from a research study entitled “The Benefits Of Multilingualism To The Personal And Professional Development Of Residents Of The US” by Judith Kroll and Paola Dussias: Parents are presented with a tough choice.
Imagine what our lives would be like if we had no language to communicate with. Be thankful for our wonderous language capacities, no matter how they seem to arise.We are now in a position to ease into the big question about generative AI such as ChatGPT and the use of languages.“With the InstructGPT paper we found that our models generalized to follow instructions in non-English even though we almost exclusively trained on English. We still don't know why.
The text you enter as a prompt is encoded into a tokenized number. The response formulated by generative AI is a series of tokenized numbers that are then mapped into the corresponding letters and word segments for presentation to you when using an AI app. It is like aiming to catch fish in your fishnet and meanwhile, you just so happen to also get some lobsters, crabs, and other entities along the way.One possibility is that the pattern matching of the generative AI opts to treat those encountered words as a separate category in comparison to the English words being examined. They are outliers in contrast to the preponderance of words being patterned on.
d) Extrapolate from increasingly smaller sample sizes to pattern match on a newly encountered languageAs the pattern matching gets enhanced via the encounters with other languages, this also has the side benefit that when encountering yet another newly encountered language. The odds are that less of the language is needed to extrapolate what the language consists of. Smaller and smaller sample sizes can be extrapolated.
If the language Z is generally akin to other languages then the pattern-matching will be quick and rapidly catch onto the language. A language that is dramatically different from all other prior encountered languages might be harder to pattern onto. Ergo, if you are using a generative AI and opt to switch to a different language when entering a prompt, the response by the generative AI will differ as to whether the pattern-matching can figure out the language being used.
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