Post by ester225 on Mar 27, 2024 7:06:21 GMT
No one understands innovation (Berkun) I don’t think anyone in 2021 understands anything about innovation, an observation that was already made by Scott Berkun over 10 years ago, and which, in my opinion, remains entirely valid. So much the better, as it gives us work to do for many years to come, this is reassuring. After all, not everything is bound to disappear. Over the last few months, as I’ve been delving into the subject of AI and generative AI, I came across a programme on France Culture (Science Chrono, 21 October 2023 in French) in which Antoine Beauchamp described the first attempts to generate text using artificial intelligence. It wasn’t in 2023, nor 2010, but… 1956! Granted, the texts it produced were gibberish.
Those written by the surrealists too. The Australia Email List buried figure exterminates the terrible dreams, the abysses and the solitary reapers are never a fierce anvil, crumpling with difficulty an ordinary sickle with the gleam, a blood mutilates the false twilight by a fertile sword. Computer-generated text based on the lexicon of Victor Hugo – 1956 The generation of text, and poetry in particular, was one of the first playgrounds for artificial intelligence and mathematicians. Not all that revolutionary.
What’s more, the presenter pointed out that the human brain is designed in such a way that when confronted with an incomprehensible text, it adapts to try and make sense of it. We certainly do the same when looking at the results delivered by ChatGPT and its competitors. AI, Stochastic Approaches and The Surrealists Many artists of past centuries have experimented with methods similar to the stochastic approaches of generative AI. These include Stéphane Mallarmé, whose texts are often hermetic, the precursors of the surrealists, Georges Perec, the other members of the Oulipo (literally, the “opener of potential literature), and their master Raymond Queneau (also a mathematician.
Those written by the surrealists too. The Australia Email List buried figure exterminates the terrible dreams, the abysses and the solitary reapers are never a fierce anvil, crumpling with difficulty an ordinary sickle with the gleam, a blood mutilates the false twilight by a fertile sword. Computer-generated text based on the lexicon of Victor Hugo – 1956 The generation of text, and poetry in particular, was one of the first playgrounds for artificial intelligence and mathematicians. Not all that revolutionary.
What’s more, the presenter pointed out that the human brain is designed in such a way that when confronted with an incomprehensible text, it adapts to try and make sense of it. We certainly do the same when looking at the results delivered by ChatGPT and its competitors. AI, Stochastic Approaches and The Surrealists Many artists of past centuries have experimented with methods similar to the stochastic approaches of generative AI. These include Stéphane Mallarmé, whose texts are often hermetic, the precursors of the surrealists, Georges Perec, the other members of the Oulipo (literally, the “opener of potential literature), and their master Raymond Queneau (also a mathematician.