Cazals (band)

Cazals was a six-piece Indie rock band from London, England. Formed in 2003, in East London. They toured with Babyshambles and Daft Punk. In 2007, they signed to French label Kitsuné Music. Their debut album What Of Our Future was released in June, 2008. They announced their split up in November 2009.

Cazals
OriginLondon, England
GenresRock, alternative rock, new wave
Years active2003–2009
LabelsKitsuné Music
MembersPhil (Vocals)
Daniel (Guitar)
Luca (Guitar)
Martin (Bass)
Warren (Drums)
Ben (Synthesizer)

Discography

Albums

  • What Of Our Future (2008)

Singles

  • "Beat Me To The Bone"(2004)
  • "Poor Innocent Boys" (2005)
  • "Comfortable Silence" (2006)
  • "To Cut A Long Story Short" (2007)
  • "Life Is Boring" (2008)
  • "Somebody Somewhere" (2008)


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gollark: I might have to release apioforms from the beecloud.
gollark: It must comfort you to think so.
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
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