Evolution of Rust, Improving your writing with ChatGPT, Emergent Capabilities of LLMs

Hi colleagues,

In this edition of the engineering ecosystem newsletter, we are switching to a curated format that features a selection of different topics. Our plan is to alternate between this format, which provides an overview of several subjects within the engineering ecosystem, and a format that focuses on a single, in-depth topic. In this curated edition, we will be covering a range of subjects:

• Evolution of Rust: The blog How Rust went from a side project to the world’s most-loved programming language tells the story of Rust, a programming language that was created by Mozilla as a side project in 2006 and has become one of the most popular and loved languages among developers. The blog explains the main concept around memory management and security by using a unique system of ownership and borrowing, which contributes to its success.

• Simple tips to improve your writing with ChatGPT and Bing: The blog post shows how ChatGPT can help writers overcome writer’s block, generate ideas, and improve their style. Besides, it gives some tips on how to use ChatGPT effectively, such as being specific, using keywords, and editing the output. And consider that you should not expect that you do not need to proofread. So don’t ask it for facts that you can’t easily check. Don’t ask it to provide references. Don’t have it do math, or conduct analysis. It will happily fake doing these things for you and the output will mostly likely be wrong.

• Emergent capabilities in Large Language Models: The blog post discusses a new paper that investigates how large language models develop emergent skills, such as arithmetic, logic, and commonsense reasoning. More specifically, the paper studies emergence by analyzing the performance of language models as a function of language model scale.

Thanks and Regards,

Klaus

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