AI Coding Assistants: Attribution, Copyrights, Moral Rights and more... - What's AI episode 12

Good morning fellow AI enthusiast! This week's iteration focuses on my interview with David Mertz , senior developer, data scientist, and author, who explores the fascinating world of generative AI and its applications in coding and AI coding assistants like Copilot and ChatGPT!

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[Sponsor] BigCode project: Code-generating LLMs boosted by Toloka's crowd

Toloka teamed up with Hugging Face and ServiceNow to power BigCode 's LLM PII data annotation project.?

Facts: 12K code chunks, 14 categories of data, 1399 Tolokers and 4349 hours of work in 4 days!?

Check out this post to learn what, why and how they made it happen!

AI Coding Assistants: Attribution, Copyrights, Moral Rights and more... - What's AI episode 12

Discover this insightful interview with David Mertz, a renowned senior developer, data scientist, and author, delving into the captivating realm of generative AI and its profound implications in coding. This discussion also sheds light on the copyright concerns associated with generative AI, as well as the intricate issue of moral rights and attribution.

David's recent publication offers a comprehensive examination of how AI coding assistants, including Copilot and ChatGPT, handle regular expressions. Through his work, he highlights the strengths and weaknesses of these assistants, elucidating how they can both assist and impede developers in their coding endeavors.

Generative AI, driven by transformer-based neural networks, has brought about a revolutionary transformation in code suggestion and completion. However, it is crucial to recognize its limitations, such as hallucinations and misleading outputs. The risks associated with relying solely on AI coding assistants encompass potential copyright infringement, a decline in code quality and innovation, and the facile generation of misinformation. Nonetheless, with careful and expert utilization, these tools can prove to be powerful aids.

In the domain of code generation, the distinction between human-generated and AI-generated code becomes increasingly blurred. Ultimately, the responsibility for ensuring the quality and functionality of the final output rests with the human developer.

Embark on an exploration of the intricate world of generative AI and its profound impact on programming, writing, and society through David Mertz's captivating interview! Listen to the full conversation on Spotify or YouTube:

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Louis