@Av1dlive: Andrej Karpathy quietly shipped the best second brain idea in years not an app. a pattern. let an llm maintain a wiki o…
Summary
Andrej Karpathy popularized a pattern where an LLM maintains a wiki of notes from personal sources, and a free Claude Code plugin for Obsidian implements it with simple commands, enabling queryable and compounding knowledge.
Similar Articles
@TheAhmadOsman: Top 3 Local AI models - DeepSeek v4.1 Flash 1017 - GLM 5.3 Flash - Qwen 3.8 Next Flash In that order
一条推文给出了作者心目中的本地 AI 模型前三名:DeepSeek v4.1 Flash 1017、GLM 5.3 Flash 和 Qwen 3.8 Next Flash。
Inference time abliteration
AbliteratedOutTheBox 是一个 llama.cpp 分支,可在推理时对任意加载的模型实时执行 abliteration(去除对齐/拒绝机制),无需微调、无需额外文件,也不占用额外显存。
How do I structure my monorepo and workflow to keep Claude Code consistent as a project grows?
开发者提出在项目增长过程中如何设计 monorepo 结构与开发工作流,以让 Claude Code 持续遵守架构规则并减少上下文消耗,涵盖指令管理、上下文优化与验证方法等系统性问题。
OpenAI's latest AI models are coming to Google Cloud and Antigravity
OpenAI and Google达成合作,OpenAI最新的GPT 6与6.1系列模型(Astra、Sol、Luna)将登陆Google Cloud的Model Garden,并集成进Google的编程工具Antigravity,使Google Cloud成为唯一同时提供三大闭源模型的云平台。
Nature paper retrofits LLMs to run on raw bytes, not tokens
A Nature paper introduces 'byteification', a method converting subword language models into byte-level ones with under 1% of a typical pretraining budget, producing models like Bolmo 7B that outperform prior byte-level baselines while retaining subword-level performance.