Actually Useful AI
Welcome! 🤖
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! 🔔
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? 📝
In general, anything related to AI is acceptable. However, we encourage you to strive for high-quality content.
What is not allowed? 🚫
- 🔊 Sensationalism: "How I made $1000 in 30 minutes using ChatGPT - the answer will surprise you!"
- ♻️ Recycled Content: "Ultimate ChatGPT Prompting Guide" that is the 10,000th variation on "As a (role), explain (thing) in (style)"
- 🚮 Blogspam: Anything the mods consider crypto/AI bro success porn sigma grindset blogspam
General Rules 📜
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 🌐
General
- !Artificial@kbin.social
- !artificial_intel@lemmy.ml
- !singularity@lemmy.fmhy.ml
- !ai@kbin.social
- !ArtificialIntelligence@kbin.social
- !aihorde@lemmy.dbzer0.com
Chat
Image
Open Source
Please message @sisyphean@programming.dev 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
I feel this has been the case already for more time than people think. AI/ML has been its own subspecialty of SWE for years. There are some low hanging fruit that using sklearn or copy and pasting from stack overflow will let you do, but for the most part the advanced features require professional specialization.
One thing that bothers me is that subject matter expertise is often ignored. General AI researchers can be helpful, but often times having SME context AND and AI skillset will be way more valuable. For LLMs it may be fine since they produce a generalized solution to a general problem, but application specific tasks require relevant knowledge and an understanding of pros/cons within the use case.
It feels like a hot take, but I think that undergraduate degrees should establish a base knowledge in a domain and then AI introduced at the graduate-level. Even if you are not using the undergraduate domain knowledge, it should be transferable to other domains and help you to understand how to solve problems with AI within the context of a professional domain.