For AI/ML Engineers: Given the rapid advancements in large language models, which approach do you believe will be more impactful in the next 2 years: fine-tuning existing large models or developing entirely new, smaller, specialized models?

For AI & ML Engineers: Which emerging AI model architecture do you believe will dominate the next 2-3 years? (e.g., Mixture-of-Experts, State-Space Models, Transformer Variants, etc.)

For new AI model development in 2026, which framework are you most excited to explore or adopt for its potential in terms of performance and ease of use?

What is the primary focus of the MIRA project described in the article?

CollectWise is using generative AI to automate debt collection. What do you think about this approach?