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How to build an adversarial eval for your agent cache (and why 18 pairs matter more than a benchmark)

How to build an adversarial eval for your agent cache (and why 18 pairs matter more than a benchmark)

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4 min read
Claude-Code-Game-Studios: A Chinese Translation for Claude Code's 49-Agent Game Studio

Claude-Code-Game-Studios: A Chinese Translation for Claude Code's 49-Agent Game Studio

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4 min read
The Data Wall: Why Synthetic Data Buys Time but Not Accuracy

The Data Wall: Why Synthetic Data Buys Time but Not Accuracy

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4 min read
How We Audited Model Context Protocol (MCP) Servers for SSRF: Lessons from 12 Responsible Disclosures

How We Audited Model Context Protocol (MCP) Servers for SSRF: Lessons from 12 Responsible Disclosures

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3 min read
가중치 원소 0.005%만 달라도 점수가 1.4%p 움직였습니다: 생성 채점으로 모델을 비교하다 저희 보고를 철회한 과정

가중치 원소 0.005%만 달라도 점수가 1.4%p 움직였습니다: 생성 채점으로 모델을 비교하다 저희 보고를 철회한 과정

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3 min read
Agent loops for product features: budgets, errors, stops and checkpoints

Agent loops for product features: budgets, errors, stops and checkpoints

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8 min read
POCKET-35B-GGUF: Running a 35-Billion-Parameter LLM on CPU Without a GPU

POCKET-35B-GGUF: Running a 35-Billion-Parameter LLM on CPU Without a GPU

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4 min read
How we fit a 27B model on a 12 GB laptop GPU

How we fit a 27B model on a 12 GB laptop GPU

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9 min read
The Degradation Ladder: LLMOps for When the Model Is Slow, Wrong, or Down

The Degradation Ladder: LLMOps for When the Model Is Slow, Wrong, or Down

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3 min read
510 bytes boot a neural network that dreams dmesg

510 bytes boot a neural network that dreams dmesg

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4 min read
A Developers Field Guide to Auditing AI Search Discovery: Inspecting LLM Crawlers, Structured Data & Robots Directives

A Developers Field Guide to Auditing AI Search Discovery: Inspecting LLM Crawlers, Structured Data & Robots Directives

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3 min read
I trained a 350M Python model from scratch on free compute

I trained a 350M Python model from scratch on free compute

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10 min read
子 Agent 该用多大力气想?从 Claude Code 2.1.316 的 CLAUDE_CODE_SUBAGENT_EFFORT,聊多 Agent 编码的 effort 分层

子 Agent 该用多大力气想?从 Claude Code 2.1.316 的 CLAUDE_CODE_SUBAGENT_EFFORT,聊多 Agent 编码的 effort 分层

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2 min read
Price a coding call, then pick the model tier

Price a coding call, then pick the model tier

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5 min read
My token limit hid a third of my data. Re-running 20 old pairs showed what was in it.

My token limit hid a third of my data. Re-running 20 old pairs showed what was in it.

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3 min read
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