My original(tm) paragraph:
Currently I have completed a decent amount of the design phase of my project and I am able to start writing the systems that bring it all together, starting with the new indexer and database system. Over the past few weeks, I’ve learned a lot about how I could properly format my databases, whether that being from online resources or a job interview, surprisingly. I’ve learned that Redis, the tool I previously used for temporary storage, can handle many difficult parts of my project entirely automatically and better than I planned, and I also learned that there are easy ways to keep multiple systems in sync. At this point, my project is ready to start being written, and hopefully in the next few weeks, something should be possible to start running (for example, my system has 10 million users and it needs to re-check almost all of them in the new system most likely). Over these past few weeks I’ve learned many things, ranging from how to format a database to how to properly link my system together.
“Write a one to two paragraph summary about ScratchDB”
ScratchDB is an open-source database management system that was designed to be simple, lightweight, and fast. It is based on the key-value store model, where data is stored as key-value pairs and can be accessed using a unique identifier or key. ScratchDB was created with the goal of providing an easy-to-use and reliable storage solution for small-scale projects, such as personal websites or hobby projects.
One of the key features of ScratchDB is its ease of use. It is designed to have a simple and intuitive API, making it easy to integrate with other programming languages and frameworks. It also supports a wide range of data types, including strings, numbers, and JSON objects. Additionally, ScratchDB is highly scalable and can handle large amounts of data efficiently. It achieves this by storing data in memory and periodically writing it to disk to ensure data persistence.
“Write a one to two paragraph summary about writing ScratchDB, an analytics project that collects data from scratch.mit.edu for analysis and searchability”
ScratchDB is an analytics project that gathers data from scratch.mit.edu, a popular platform for creating and sharing interactive stories, games, and animations. The purpose of ScratchDB is to provide researchers and educators with a tool for exploring and understanding how people use Scratch, as well as for analyzing trends and patterns in user activity over time. The project collects a variety of data from the platform, including information about individual projects, user profiles, and interactions between users. This data is then processed and stored in a searchable database, which allows users to query the data and generate reports based on their specific interests or research questions. Overall, ScratchDB provides a valuable resource for those interested in studying the ways in which people engage with creative technology and digital media.
- Use it to correct grammar in your own writing or find mistakes in it, but not necessarily write its own content.
- Use it to give a list of ideas that could be used, but no actual research. For example “Give me a list of 10 areas I could research about Pokemon Go’s popularity”
Is this cheating?
This honestly feels worse, especially given it contains our given reasons
At the end of the day, ChatGPT is simply an evolution in the field of research and learning. Just like phones and calculators, ChatGPT will disrupt some area of education, and classes will evolve to go around it or use it, especially seen here where the class was about using ChatGPT. In my own project, ScratchDB serves very little purpose. My project is mostly coding a lot of “boilerplate”, which it can’t really do. ChatGPT can do a lot of basic algorithms, but it isn’t powerful enough to assemble an entire project. ChatGPT may however be quite helpful for writing simple write-ups or comments of my code. Code is better when it’s commented, and by having ChatGPT comment it, I could spend more time programming rather than commenting. This is also true for blog posts. I could give it a basic idea of what I want, and it could give me a writeup. I wouldn’t use it for this, but it seems entirely plausible. Most of my write-ups tend to be stories of what I did, rather than distinct facts, so it may not be good for some of my work, but in some cases it would be quite helpful. However for now, I’ll probably just stick to using it for song recommendations 🙂