@willcb: intellect-2 recipe from may 2025 btw
Summary
Will Brown 指出 Intellect-2 的训练配方（recipe）其实早在 2025 年 5 月就已发布，并附上了相关链接。
View Cached Full Text
Cached at: 10/14/26, 03:52 AM
intellect-2 recipe from may 2025 btw https://t.co/CPgK6vvGHe
Similar Articles
@vllm_project: We just shipped a major redesign of http://recipes.vllm.ai. "How do I run model X on hardware Y for task Z?" now has a …
vLLM launched a redesigned recipes site that turns any HuggingFace model URL into a ready-to-run inference recipe for specific hardware and tasks.
@gyro_ai: https://x.com/gyro_ai/status/2055198700016660826
Matt Pocock open-sourced Skills for Real Engineers, a set of small, composable, and hackable AI coding skills designed to address issues in AI programming such as understanding bias, lack of shared language, missing feedback loops, and software entropy. The tool enhances AI programming efficiency through skills like grill-with-docs, tdd, and diagnose, and provides a complete workflow.
We made a skill to combat Brain Rot
作者发布了一套 AI agent 技能（skills），旨在对抗「脑腐」（brain rot）——即在使用 AI agent 构建时把思考外包给 AI、导致产出变成 slop 的问题。这些技能帮助用户在通用构建任务、UI/UX 打磨与算法能力训练中主动思考。
@yibie: Training Small Models: The Most Underrated AI Skill in 2026 On May 11, 2026, a person named CJ Zafir posted a tweet. He wanted to teach ordinary people to fine-tune open source models. 2,538 likes, 316 retweets, 178,000 views. This tweet blew up…
In May 2026, a tweet by CJ Zafir teaching ordinary people to fine-tune open source models gained widespread attention, illustrating the trend of training small models as the most underrated AI skill in 2026.
LiquidAI/LFM2.5-2.6B
Liquid AI released LFM2.5-2.6B, a 2.6B-parameter hybrid model optimized for on-device deployment with 128K context, agentic post-training, and fast inference (220 tok/s on Apple M5 Max) under 2.5GB memory.