EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 24·5 min read
We are not going anywhere
TL;DR
Software development is increasingly dominated by AI, which may produce lower quality but is cost-effective. As a result, traditional software engineering will focus on AI, stalling innovation in other areas.
✦ Why It Matters
Focus on AI development to stay relevant in the evolving software landscape.
Key Takeaways
- Embrace AI tools to enhance your software development process.
- Consider the cost-benefit of AI-generated code versus traditional methods.
- Stay informed about advancements in AI models and their capabilities.
- Collaborate with large organizations to access proprietary AI technologies.
Full Summary
The future of software development is shifting towards AI-driven solutions, which, while potentially offering lower quality, are commercially viable due to their cost-effectiveness. Businesses are likely to accept a 99.99% reliability rate at a fraction of the cost of achieving 99.999%.
As AI models become proficient in languages like Python, Go, and JavaScript, the incentive to create new programming languages or UI libraries diminishes. Although it may become easier for individuals to develop new technologies, these innovations are unlikely to gain traction without significant backing, particularly from large corporations.
Such organizations may train AI models on proprietary technologies, but they will face challenges in building a community around their tools. Overall, the landscape of software engineering is set to evolve, with a strong focus on AI development.