@VraserX: The AI research I’m most excited about right now is continual learning. The 3 methods I’m watching: 1: SEAL Models gene…

The AI research I’m most excited about right now is continual learning. The 3 methods I’m watching: 1: SEAL Models generate their own training data and update instructions, then adapt their own weights. One of the SEAL researchers, Ekin Akyürek, is now at OpenAI. Yeah, that feels important. 2: Test time learning The model adapts while it works, using the task in front of it as a learning signal instead of waiting for the next giant retrain. 3: Lifelong model editing Instead of retraining the whole brain, you surgically add or update knowledge while trying not to break what the model already knows. This is the missing piece. Memory makes AI useful. Agents make AI active. Continual learning makes AI compound. I’m honestly convinced that by 2027, 2028 at the latest, we’ll have AI models with true continual learning. And once that happens, AI improvement stops being a staircase. It becomes a feedback loop. Models learn from users. Agents learn from environments. Research systems learn from experiments. That loop is how we get to ASI.