Intelligence Artificielle

Will DALL-E the AI Artist Take My Job?

As someone working in a creative field, I’ve never been concerned about a computer taking my job. I always felt confident that the tasks required of me as a photo editor for New York Magazine are too complex and messy — too human — for an artificial intelligence to perform. That is, until DALL-E 2, a sophisticated AI that generates original artwork based only on text input, opened to public beta last June.

It’s easy to lose hours on the r/dalle2 subreddit, where beta testers have been posting their work. More often than not, the only way to differentiate a DALL-E creation from a human-generated image is five colorful squares tucked in the bottom right corner of each composition — DALL-E’s signature. As I scrolled through images of Super Mario getting his citizenship at Ellis Island and Mona Lisa painting a portrait of da Vinci I couldn’t shake the question that town criers and elevator operators of yore must have confronted: Was my obsolescence on the horizon?

DALL-E, named after surrealist artist Salvador Dali and Pixar’s lovable garbage robot WALL-E, was released by San Francisco-based research lab OpenAI in January 2021. The first iteration felt like a curious novelty, but nothing more. The compositions were only remarkable because they were generated by AI. In contrast, DALL-E 2, which launched in January 2022, is lightyears ahead in image complexity and natural semantics; it’s easily one of the most advanced image generators in development, and it’s evolving at an astonishing speed. Last week, OpenAI launched a new Outpainting feature, which allows users to extend their canvas beyond its original borders, revealing, for example, the cluttered kitchen surrounding Johannes Vermeer’s Girl With a Pearl Earring.

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Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.

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