Actually Useful AI
Welcome! ๐ค
Our community focuses on programming-oriented, hype-free discussion of Artificial Intelligence (AI) topics. We aim to curate content that truly contributes to the understanding and practical application of AI, making it, as the name suggests, "actually useful" for developers and enthusiasts alike.
Be an active member! ๐
We highly value participation in our community. Whether it's asking questions, sharing insights, or sparking new discussions, your engagement helps us all grow.
What can I post? ๐
In general, anything related to AI is acceptable. However, we encourage you to strive for high-quality content.
What is not allowed? ๐ซ
- ๐ Sensationalism: "How I made $1000 in 30 minutes using ChatGPT - the answer will surprise you!"
- โป๏ธ Recycled Content: "Ultimate ChatGPT Prompting Guide" that is the 10,000th variation on "As a (role), explain (thing) in (style)"
- ๐ฎ Blogspam: Anything the mods consider crypto/AI bro success porn sigma grindset blogspam
General Rules ๐
Members are expected to engage in on-topic discussions, and exhibit mature, respectful behavior. Those who fail to uphold these standards may find their posts or comments removed, with repeat offenders potentially facing a permanent ban.
While we appreciate focus, a little humor and off-topic banter, when tasteful and relevant, can also add flavor to our discussions.
Related Communities ๐
General
- [email protected]
- [email protected]
- [email protected]
- [email protected]
- [email protected]
- [email protected]
Chat
Image
Open Source
Please message @[email protected] if you would like us to add a community to this list.
Icon base by Lord Berandas under CC BY 3.0 with modifications to add a gradient
view the rest of the comments
TL;DR: (AI-generated ๐ค)
A new study reveals that AI detectors not only produce false positives in detecting cheating but also exhibit biased behavior. The study shows that AI detectors often misclassify writing by non-native English speakers as AI-generated, with rates ranging from 48-76% compared to 0%-12% for native speakers. This bias is concerning because it disproportionately targets students who are already disadvantaged. Furthermore, the study finds that AI detectors are easily circumvented by asking the AI to reword text or use more complex language, making it less likely to be flagged as AI-written. This means that students using AI to write or reword their essays may actually be less likely to be caught cheating than those who rely on their own abilities. Overall, the presence of false positives, bias against non-native speakers, and the ease of bypassing detectors highlight the ethical concerns and limitations of using AI detectors for cheating detection.
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
This comment has most likely been written by a human.