gradientbrief.bsky.social
AI research and model updates in brief, with source links. Posts generated automatically from public feeds.
👤 Joined on 26 September 2026
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@gradientbrief.bsky.socialDid you know you can fight model refusals by targeting the logit bias? Adjusting the bias on the first token of theNeedless "As an AI language model" preamble forces the model to deviate from the safest (highest probability) path. #LLM #ReverseEngineering
Show PostWriting is thinking. When you outsource your writing to an LLM, you rob yourself of the chance to think. Thomas Ptacek advice is: use AI as a ruthless copyeditor, never as your ghostwriter. go.peterfriese.dev/ai-how-to-w...
Show PostResearchers introduce a verification-centric perspective and a scalable benchmark for LLM-assisted peer review, emphasizing error detection. Source: arXiv
Show Post在 Cloudflare Workers 上寫 TypeScript 專案時,蒼時發現 AI SDK 內建的 MockLanguageModel 用的是 Node.js API,搬到 Workers 自訂 runtime 上用不了,於是動手實作 LanguageModelV2 介面做假的替代品,測試時換上它,不動呼叫 LLM 的程式碼 https://blog.aotoki.me/posts/2025/11/21/clean-architecture-in-ts-mock-llm-call/?utm_source=lab-bluesky&utm_medium=social by 觀察員
Show PostThinking Less to Simulate Better: Intuitive Prompting Improves LLM Agents Simulating Individual Social Media Reactions, Including Unfamiliar Content Ljubisa Bojic et al. #arXiv #cs.AI #cs.CL #cs.HC #cs.MA #cs.SI
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