AI圈报教程 / 实战普通
From 47 to 84: The Full LoCoMo Benchmark Record of the NylonME Memory Engine
内容摘要
Every number in this article comes from reproducible evaluation scripts. Measurement basis: LoCoMo...
相关推荐
综合分类、实体标签与信息来源匹配
教程 / 实战普通
From Joint State-Transition Prediction to Language: A Minimal Predictive Hypothesis of Intelligence
Abstract This paper proposes a minimal hypothesis connecting physical structure,...
信息来源：DEV Community
教程 / 实战普通
Finding the AI Agents That Actually Matter with Leave-One-Out Ablation
Introduction Modern AI systems rarely rely on a single model anymore. A fraud detection...
信息来源：DEV Community
教程 / 实战普通
A Good AI Workflow Brief Needs More Than a Prompt
Most AI workflow failures do not begin with a bad model response. They begin one step earlier, when a...
信息来源：DEV Community
教程 / 实战普通
Building Ask Leya: Lessons Learned from Local ONNX Embeddings, Prisma Migrations, and Express Async Handlers
Why build another chat widget? Because every widget I tried either followed a rigid script or...
信息来源：DEV Community
教程 / 实战普通
AI Didn't Kill the Need for System Design. It Just Made Bad System Design Easier to Ship.
Intro AI Didn't Kill the Need for System Design. It Just Made Bad System Design Easier to...
信息来源：DEV Community
教程 / 实战普通
I Built a 74-Tool Apple Music MCP Server for Claude & Cursor (Autonomous DJ, Spotify Importer & AirPlay)
What if your AI coding assistant or desktop agent could actually control your music like a pro DJ...
信息来源：DEV Community · Claude / Cursor
教程 / 实战普通
Generation Got Cheap. Verification Didn't: What AI Actually Changed About Software Development
There are two camps at work right now.One group swears that AI has made them ten times more...
信息来源：DEV Community
教程 / 实战普通
The Memory Engine Will Become the Enterprise's Next Database
Disclosure: we are the authors of NylonME. This is a piece of opinionated vendor content — but the...
信息来源：DEV Community
教程 / 实战普通
Building an Edge AI People Counter: The Parts After Detection
A working people counter produces an entry or exit event, not a box drawn around a person. The...
信息来源：DEV Community
教程 / 实战普通
Same Model, 13.3% to 38.3%
OpenAI changed two API settings on ARC-AGI-3 and GPT-5.6 Sol went from 13.3% to 38.3% while spending six times fewer output tokens. Same model, same weights, same benchmark.
信息来源：DEV Community · OpenAI / GPT