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@dair_ai Self-improving' is oversold: deployed examples improve the scaffold, prompts, memory, tools, not the weights. The model's frozen. Real but bounded, you optimize the harness only to the base model's ceiling. Weight-level self-improvement is what nobody ships.
@omarsar0 Solid resource. Curation beats noise every time. An AI tutor for paper discovery could actually shift how researchers track the field.
NEW: AI Papers of the Week Collection I just released my AI Papers of the Week collection under our Resources hub. Now you can easily find some of the most important AI papers in one place. You can also use our new AI tutor to recommend top AI papers on any topic of interest or topics you are learning about on the platform. Learning about AI is not enough. It's important to keep up to date. So this is why we are building all these tools and resources to help with that. Go try it out here: https://academy.dair.ai/dashboard/resources/papers-of-the-week We will update the collection every week and add new paper collections in the coming weeks. We have another killer feature dropping soon to read and annotate papers, including a completely new way to study and digest AI papers. Stay tuned!
Based on 2 visible X reactions from 4 accounts; directional sample.
Ask a question below.
Published answers will appear here.