Wasel Choi

Wasel Choi (born August 9, 1979) is an artist, a world traveler, a knowledge seeker, and an observer from San Francisco, California. In 2002 Wasel graduated from University of Glamorgan in South Wales with professional studies in management methods applied to financial planning and optimization.

Wasel Choi
와셀 최
Wasel gazes at the Pacific Ocean over the Santa Cruz Mountains
BornAugust 9, 1979
EducationUniversity of Glamorgan
Spouse(s)Rosa Choi (m. 2012)
Websitehttp://www.waselart.com/

Wasel's interest in nature studies and ethnography have influenced the creation of his artworks. He creates drawings and paintings from his subconscious world. Wasel use the term Lines to identify his drawings.[1]

Since 2007 Wasel's artworks have been exhibited internationally through EXPO 2010 in Shanghai,[2] WOMAD,[3] Smalt Art 2009 at Vítkovice in the Czech Republic,[4] the French Art Festival 2008, Art Paris 2007, and including the solo exhibition titled Constructivism. Wasel has been traveling to different parts of the world, living in different cultures, creating artworks, and documenting ethnographical studies during his expeditions in Singapore, China, Malaysia, Czech Republic, Germany, Bahrain, United States, Turkey, and Kenya. He gave lectures and workshops through New York University, the Dresden Academy of Fine Arts and the Tegla Loroupe Peace Foundation.[5]

Wasel's body of work includes three Art Cars: a Nissan Murano, painting a Ferrari Formula One racer[6] and a 1959 Chevrolet Impala where Wasel received a call of congratulations from Jeff Koons.[7] Two paintings by Wasel are displayed on the 84th floor of the tallest tower on Earth, Burj Khalifa,[8] and five large scale installation paintings for each lobby of the new residential towers built by CapitaLand from Singapore.

After fulfilling his aspiration to live in Singapore and Malaysia from 2009 until 2013, Wasel continued his path to the United States to settle in his wife's hometown in California.

Artworks

Saxony, Germany, 2011
Singapore in 2009
gollark: > There is burgeoning interest in designing AI-basedsystems to assist humans in designing computing systems,including tools that automatically generate computer code.The most notable of these comes in the form of the first self-described ‘AI pair programmer’, GitHub Copilot, a languagemodel trained over open-source GitHub code. However, codeoften contains bugs—and so, given the vast quantity of unvettedcode that Copilot has processed, it is certain that the languagemodel will have learned from exploitable, buggy code. Thisraises concerns on the security of Copilot’s code contributions.In this work, we systematically investigate the prevalence andconditions that can cause GitHub Copilot to recommend insecurecode. To perform this analysis we prompt Copilot to generatecode in scenarios relevant to high-risk CWEs (e.g. those fromMITRE’s “Top 25” list). We explore Copilot’s performance onthree distinct code generation axes—examining how it performsgiven diversity of weaknesses, diversity of prompts, and diversityof domains. In total, we produce 89 different scenarios forCopilot to complete, producing 1,692 programs. Of these, wefound approximately 40 % to be vulnerable.Index Terms—Cybersecurity, AI, code generation, CWE
gollark: https://arxiv.org/pdf/2108.09293.pdf
gollark: This is probably below basically everywhere's minimum wage.
gollark: (in general)
gollark: <@!319753218592866315> Your thoughts?

References

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