People don’t have buttons: Difference between revisions
From Algolit
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− | by Algolit | + | by Algolit<br /> |
− | Since the early days of | + | [http://javierlloret.info/people-don-t-have-buttons.html Source]<br /> |
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+ | Since the early days of artificial intelligence (AI), researchers have speculated about the possibility of computers thinking and communicating as humans. In the 1980s, there was a first revolution in Natural Language Processing (NLP), the subfield of AI concerned with linguistic interactions between computers and humans. Recently, pre-trained language models have reached state-of-the-art results on a wide range of NLP tasks, which intensifies again the expectations of a future with AI. | ||
This sound work, made out of audio fragments of scientific documentaries and AI-related audiovisual material from the last half century, explores the hopes, fears and frustrations provoked by these expectations. | This sound work, made out of audio fragments of scientific documentaries and AI-related audiovisual material from the last half century, explores the hopes, fears and frustrations provoked by these expectations. | ||
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− | '''Concept, | + | '''Concept, sound edit''': Javier Lloret |
'''List of sources''': | '''List of sources''': | ||
− | + | 'The Machine that Changed the World : Episode IV -- The Thinking Machine', 'The Imitation Game', 'Maniac', 'Halt & Catch Fire', 'Ghost in the Shell', 'Computer Chess', '2001: A Space Odyssey', Ennio Morricone, Gijs Gieskes, André Castro. | |
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Latest revision as of 22:10, 5 June 2019
by Algolit
Since the early days of artificial intelligence (AI), researchers have speculated about the possibility of computers thinking and communicating as humans. In the 1980s, there was a first revolution in Natural Language Processing (NLP), the subfield of AI concerned with linguistic interactions between computers and humans. Recently, pre-trained language models have reached state-of-the-art results on a wide range of NLP tasks, which intensifies again the expectations of a future with AI.
This sound work, made out of audio fragments of scientific documentaries and AI-related audiovisual material from the last half century, explores the hopes, fears and frustrations provoked by these expectations.
Concept, sound edit: Javier Lloret
List of sources: 'The Machine that Changed the World : Episode IV -- The Thinking Machine', 'The Imitation Game', 'Maniac', 'Halt & Catch Fire', 'Ghost in the Shell', 'Computer Chess', '2001: A Space Odyssey', Ennio Morricone, Gijs Gieskes, André Castro.