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?

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.)

When using AI assistants for coding or technical tasks, should you relay AI-generated output directly, or is it essential to process, validate, and rephrase it in your own words?

With Qwen3.8-Max demonstrating advanced coding and collaboration capabilities, do you see large language models like it becoming indispensable co-pilots for software development, or will they remain supplementary tools?

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