DG-FDD: Mitigating Catastrophic Forgetting in Remote Sensing Change Detection
What Changed Remote sensing change detection (RSCD) is a critical task in various...
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What Changed Remote sensing change detection (RSCD) is a critical task in various...
Turing-winner Richard Sutton launched Oak Lab with a north-star goal of a trillion-parameter agent that learns and plans in real time on about 20 watts, betting on continual experiential learning over the static pre-train-then-freeze paradigm behind

When you continually pre-train an LLM into a 'world model', it quietly forgets general knowledge — and a little data mixing buys most of it back. But how much it forgets depends heavily on how you specialize it, and full fine-tuning pays three costs a single benchmark undersells.

MIT, Tencent, and Huawei independently published continual learning papers in 2026. Their convergence reveals AI's real bottleneck.
Dario Amodei says continual learning will be solved this year. Here is what AI agent memory actually means for builders shipping agents right now. Three patterns, real tradeoffs, practical guidance.
.NET Core is moving pretty fast, but where can you go to learn about it?