XION EXPANDS INTO APAC: @burnt_xion and its abstraction-focused narrative has announced some big plans in APAChttps://t.co/TABYQSBucQ ...

Chatting all things Abstract with 70s Metalcore Hair GCRMight even drop some interesting breadcrumbs....Come check it out!Ely (@ProofOfEly):WE'RE LIVE@beast_ico is on Max Abstraction todayThe King of SocialFI & Merchant of Narratives.HOT TAKES ONLY: Abstract vs Blast, How to become #1 on SocialFi, What's the next big thing?Watch here: https://t.co/SzgLLRFu0M https://t.co/ANCet3HeYS ...

Model Reasoning and Applications - Reasoning unlocks new language model applications, exemplified by improved information retrieval [1] - Reasoning models are enhancing applications like website analysis and code assistance, making them more steerable and user-friendly [1] - Reasoning models are pushing the limits of task completion, requiring ongoing effort to determine what models need to continue progress [1] Planning and Training - Planning is a new frontier for language models, requiring a shift in training approaches beyond just reasoning skills [1][2] - The industry needs to develop research plans to train reasoning models that can work autonomously and have meaningful planning capabilities [1] - Calibration is crucial for products, as models tend to overthink, requiring better management of output tokens relative to problem difficulty [1] - Strategy and abstraction are key subsets of planning, enabling models to choose how to break down problems and utilize tools effectively [1] Reinforcement Learning and Compute - Reinforcement learning with verifiable rewards is a core technique, where language models generate completions and receive feedback to update weights [2] - Parallel compute enhances model robustness and exploration, but doesn't solve every problem, indicating a need for balanced approaches [3] - The industry is moving towards considering post-training as a significant portion of compute, potentially reaching parity with pre-training in GPU hours [3]

Appchain Thesis - Appchain 理论正在全面展开 [1] - 所有 L2 需要的可组合性和应用抽象将增长 10 倍 [1]