Jono and Dano

The Jono & Dano Show, was a radio and later television show hosted by Jonathan Coleman (Jono) and Ian Rogerson (Dano).

Original radio programming

The original Jono & Dano show was broadcast on Triple J as a Saturday night show, before moving to Sunday afternoons and eventually the weekday breakfast shift. They then moved to commercial radio and presented the breakfast show at 2SM before hosting a night-time show on Sydney’s Triple M in 1984.[1]

Television programming

Jono & Dano then left radio to concentrate on television with a late night show on the Seven Network, followed by morning music show Saturday Morning Live[2] before splitting up, with Jono moving to London to continue in radio and television, and Dano returning to Triple J.

Recent events

In 2008, after almost 20 years apart, Jono & Dano returned to air Monday to Friday nationally around Australia on 101.7 WSFM (Sydney), Gold 104.3 (Melbourne),[3] 4KQ (Brisbane) and 96fm (Perth), as well as many regional stations across Australia.

gollark: Fearsome.
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
gollark: https://arxiv.org/pdf/2108.09293.pdf

References

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