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.)

With AI tools now acting as code reviewers, how should we ensure the quality and reliability of these AI reviewers themselves?

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?

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?