EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Aug 4·5 min read
Born Against, or why hobby programming communities are aggressively against LLM usage
TL;DR
Hobby programming communities are increasingly resistant to the use of large language models (LLMs), viewing them as undermining the learning process that defines their craft. The sentiment is that mastery and understanding are more valuable than simply producing functional code.
✦ Why It Matters
Engage with your community to discuss the role of LLMs in programming and share your learning experiences.
Key Takeaways
- Prioritize learning and mastery over quick solutions.
- Engage deeply with community values before using LLMs.
- Share knowledge and experiences to earn respect.
- Use LLMs as tools, not replacements for understanding.
Full Summary
In niche programming communities like OSDev and LangDev, there is a growing backlash against the use of large language models (LLMs) for coding tasks. Members of these communities believe that the journey of mastering complex skills is integral to their identity as programmers.
While LLMs can serve as tools to enhance productivity, many see them as shortcuts that detract from the craftsmanship involved in coding. Early attempts to integrate LLMs were often met with skepticism, as practitioners lacked deep domain knowledge, leading to accusations of cheating.
Respect in these circles is earned through years of dedication and sharing knowledge, not merely by producing working code. Ultimately, the consensus is that using LLMs to generate code diminishes the value of the learning experience that these communities cherish.