AI At Fashion Wee
At the end of last year LG (003550.KS), parent of LG Electronics (005930.KS), LG Display (LPL), LG Chem (051910.KS), and a host of other subsidiaries, announced their “ultra-large” AI model (Exaone) that is said to have the ability to capture 300 billion variables, generating a higher level of language skills than other Ai systems. As most human knowledge is contained in language, the current thinking is that developing more comprehensive, more efficient, and faster AI systems based on language will lead to a system that will come closer to the human characteristics that seem to be the goal of AI developers. According to LG, Exaone, rather than searching through images based on the text surrounding them, this system creates new images based on the data it has examined, and can show and describe its creations in both Korean and English.
While perhaps not the application that many AI experts were counting on, LG has used the Exaone recently to answer a question, “What would it look like if there were flowers on Venus?” While we are sure that is not the only question asked of this Ai system, which cost many millions in R&D and training costs, it seems a bit strange that this is the direction taken for Exaone, at least at this point, but Exaone not only came up with an answer (actually 3,000 answers) but has created ‘Tilda’, a virtual “environmentally-conscious fashion designer” to help us humans to understand what Exaone came up with.
Tilda has collaborated with Korean fashion designer Park Youn-hee to create a Fall/Winter ready-to-wear clothing collection (200 outfits) “Greedilous by Tilda – Flowers on Venus”, that is being highlighted at the New York Fashion Week running through Wednesday. Tilda supplied the ideas about patterns based on the question mentioned above and Park took those ideas and created the collection in 45 days, a process that typically takes many months. Tilda sourced her ideas from the 250 million high resolution images and 600 billion textual data that was feed to the Exaone. After fashion week Tilda is planning to launch an independent eco-friendly fashion brand to deliver her message about the environment through fashion.
Officials from the LG AI Research Institute state that “Within a year, you will be able to meet Tilda’s unique fashion products and art works that embody the philosophy of Tilda both online and offline”, and the institute plans on creating more expert AI ‘humans’ (their words) that help and cooperate with humans in various fields such as manufacturing, research, service, education, and finance. We are also planning to venture into the Metaverse, where we can communicate with the Gen Z and take part in more creative processes.”
John McCarthy, a professor emeritus at Stanford, coined the term “Artificial Intelligence” in 1955 in a proposal for a 2 month, 10 person summer research conference, according to the college, and went on to invent LISP, an early programming language that is still used for AI today, and founded the MIT Artificial Intelligence Project and the Stanford Artificial Intelligence Lab. While we don’t know for sure, we doubt John was thinking about how artificial intelligence could be used to create a stir at Fashion Week 2022, but we expect he would have liked to spend time speaking with Tilda once she stopped talking about how drip the new collection was and how jaboni the other designers were.
While perhaps not the application that many AI experts were counting on, LG has used the Exaone recently to answer a question, “What would it look like if there were flowers on Venus?” While we are sure that is not the only question asked of this Ai system, which cost many millions in R&D and training costs, it seems a bit strange that this is the direction taken for Exaone, at least at this point, but Exaone not only came up with an answer (actually 3,000 answers) but has created ‘Tilda’, a virtual “environmentally-conscious fashion designer” to help us humans to understand what Exaone came up with.
Tilda has collaborated with Korean fashion designer Park Youn-hee to create a Fall/Winter ready-to-wear clothing collection (200 outfits) “Greedilous by Tilda – Flowers on Venus”, that is being highlighted at the New York Fashion Week running through Wednesday. Tilda supplied the ideas about patterns based on the question mentioned above and Park took those ideas and created the collection in 45 days, a process that typically takes many months. Tilda sourced her ideas from the 250 million high resolution images and 600 billion textual data that was feed to the Exaone. After fashion week Tilda is planning to launch an independent eco-friendly fashion brand to deliver her message about the environment through fashion.
Officials from the LG AI Research Institute state that “Within a year, you will be able to meet Tilda’s unique fashion products and art works that embody the philosophy of Tilda both online and offline”, and the institute plans on creating more expert AI ‘humans’ (their words) that help and cooperate with humans in various fields such as manufacturing, research, service, education, and finance. We are also planning to venture into the Metaverse, where we can communicate with the Gen Z and take part in more creative processes.”
John McCarthy, a professor emeritus at Stanford, coined the term “Artificial Intelligence” in 1955 in a proposal for a 2 month, 10 person summer research conference, according to the college, and went on to invent LISP, an early programming language that is still used for AI today, and founded the MIT Artificial Intelligence Project and the Stanford Artificial Intelligence Lab. While we don’t know for sure, we doubt John was thinking about how artificial intelligence could be used to create a stir at Fashion Week 2022, but we expect he would have liked to spend time speaking with Tilda once she stopped talking about how drip the new collection was and how jaboni the other designers were.
'Tilda' - Virtual Fashion Designer - Source: Pulse News
Image blending by Tilda - Source: Pulse News
Even More 'Tilda' based fashions - Source: Koreajoongangdaily
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