EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
MIT Technology Review·7d ago·5 min read
People really hate AI, so why can’t they get enough?
TL;DR
Public sentiment towards AI is increasingly negative, with many fearing its societal impact, despite ongoing interest in its development. A startup, Springboards, aims to create a more diverse language model, reflecting this complex relationship.
✦ Why It Matters
Consider engaging with community discussions on AI to better understand public concerns and contribute to responsible development.
Key Takeaways
- Monitor public sentiment on AI to inform product development.
- Explore open-source AI alternatives to enhance consumer choice.
- Engage in discussions about AI regulation in your community.
- Stay informed about the evolving landscape of AI technologies.
Full Summary
A recent discussion with the CEO of Springboards, a startup developing a large language model (LLM), highlighted a prevalent ambivalence towards AI. While surveys indicate that a majority of people are wary of AI's societal implications, usage statistics tell a different story, with ChatGPT reaching a billion monthly users.
This contradiction suggests that the more people engage with AI, the more critical they become of it, particularly in regions with high adoption rates. Many users seem to resent the relentless push from tech companies to integrate AI into daily life, reminiscent of past reactions to social media.
However, unlike previous tech trends, there is a growing political will for regulation, with over 2,100 bills proposed across the US. The emergence of open-source alternatives also offers consumers more choices, potentially shifting the market dynamics.