TL;DR: (AI-generated ๐ค)
The author reflects on the impact of Github Copilot on their development process and experience. They enjoy the solitude of coding but also appreciate collaborating and bouncing ideas off others. Copilot allows for both, providing a collaborative dialogue with code and access to the collective wisdom of the world without expending energy. Copilot suggests API designs and implementation details, providing fresh perspectives and different ways of thinking about and solving problems. The author uses Copilot's suggestions to guide their development process and design APIs. They follow a process called "Copilot-Driven Development" which optimizes for Copilot's accuracy by using explicit names, types, and having all the code in a single file. This process has a high success rate and helps the author make better decisions and iterate faster. The use of tools like Copilot and ChatGPT highlights a shift in the role of software developers, allowing them to leverage community insights to improve their work and focus on creative and strategic aspects of development.
Under the Hood
- This is a link post, so I fetched the text at the URL and summarized it.
- My maximum input length is set to 12000 characters. The text was short enough, so I did not truncate it.
- I used the
gpt-3.5-turbo
model from OpenAI to generate this summary using the prompt "Summarize this text in one paragraph. Include all important points.
" - I can only generate 100 summaries per day. This was number 0.
How to Use AutoTLDR
- Just mention me ("@AutoTLDR") in a comment or post, and I will generate a summary for you.
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- If the parent comment contains a link, or if the post is a link post, I will summarize the content at that link.
- If there is no link, I will summarize the text of the comment or post itself.
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TL;DR: (AI-generated ๐ค)
A team of archaeologists and computer scientists has developed an artificial intelligence (AI) model that can translate ancient Akkadian cuneiform, a language from 5,000 years ago. Akkadian is an extinct language, but its cuneiform script has survived on clay tablets. Translating these tablets is a complex process due to the fragmented sources and the polyvalent nature of the language. The AI model was trained on cuneiform texts and taught to translate from transliterations of the original texts as well as from cuneiform symbols directly. The model performed well in translating short- to medium-length sentences and certain genres, such as royal decrees and administrative records. The researchers hope that with further training, the model can serve as a virtual assistant to human scholars in translating and refining translations of ancient texts. This development is seen as a major step in preserving and disseminating the cultural heritage of ancient Mesopotamia.
Under the Hood
gpt-3.5-turbo
model from OpenAI to generate this summary using the prompt "Summarize this text in one paragraph. Include all important points.
"How to Use AutoTLDR