Writing
Newest first. 40 essays.
40 essays
2026
- Five Kettlebell Moves on Three Axes Five kettlebell movements divide across three axes, hips, shoulders and the diagonal, and the snatch sits where all three meet. Each move broken down to joints, muscles and the order of force, with a coverage table for eight movement patterns and three dose plans you can schedule as written. Training
- No Vector Store: a 25.87 MiB SQLite Index Reaches 86.62 Recall@10 SAG2 moves the semantic judgement from index time to query time. One SQLite index plus BM25 and JEV judgements tops the compared systems on R@5 and R@10 across MuSiQue, 2WikiMultiHopQA and HotpotQA, with a 2.36-second build and zero model calls. The ablations split the gain into two expansion rounds and a shared context, and the cost sits in the last section. AI
- Designing a Coding Agent Without a KV Cache A September 2026 design note starts from one counterfactual, traces six familiar coding-agent flaws to a single cause, and proposes a harness built around a Jev decision layer. Routing arithmetic, token shares and security routing are each marked by source. AI
- Multi-teacher distillation is a token budget TRL's multi-teacher on-policy distillation example ran 60 steps. Instruction following held 20 percent of the prompts and got 1 to 3 percent of the trained tokens, and it was the only domain that barely moved. Open-MOPD calls this token budget misallocation, and fixing it raised the recoverable headroom from 35.6 to 83.4 percent. AI
- The Ontology Divide Is Not Model Size Six papers from late 2025 and 2026 point the same way. The bottleneck in ontology construction moved from who writes it to who can prove it is right, and every number here carries its source. AI
- Evals: Four Numbers That Tell You Whether an AI System Actually Works Evals split into inputs, system, grader and number, with the judge itself graded first. Every figure here is tagged with its source. AI
- The firm grows a basement Two twenty-four-year-old managers at OpenAI wrote a long piece about where AI sits once it joins a company. I went down through all three arrangements with a pencil, and the column that stays blank is the one where somebody has to keep the books. Essay
- Retrieval as Navigation: DecisionRAG Asks a Tree Instead of Scoring a Corpus DecisionRAG runs no first-stage search and builds no vector index. Each level puts the candidate titles into one shared context and answers a batch of yes/no questions in a single forward pass. It wins six of nine metrics, and the three losses and the costs are in the body. AI
- One Graph, Fifteen Spellings, a 28-Point Difference Oracle wrote the same knowledge graph in 15 text formats and ran nine frontier model configurations over four benchmarks. Extraction barely notices, with 1.3 to 3.9 points of spread. Structural reasoning moves 28.4. AI
- The lamp in the stairwell Attention is the one thing nobody can print more of, so watching turned into a trade. I read a long letter about capturing it, and kept thinking about the lamp in my stairwell, which hears a footstep and never learns a face. Essay
- The Bytes Moved, the Compute Didn't: Ten Years of Path Dependence in Decentralized Databases The field's unsolved problem is not weak consensus, it is that compute never followed the bytes. Six routes, four layers, and the one paper that prices it out loud: 2.85x, 15.8% parallel efficiency — and why shipping another decentralized database was never the answer. Web3
- Project EVE: What Happens When Agents Enter an Economy That Already Has One Anthropic let Claude make markets in EVE for six months and fly a four-agent fleet for a week. The result prices the agent economy in three layers: execution, tooling capital, and the cost of trust. AI
- Allegedly the singularity has begun: three sums from an old-fashioned man One long post says we are already inside the singularity, with five pieces of evidence, a steelmanned opposition and a five-year rota. I will not argue about the word. I only want to redo its three sums — and afterwards you may notice that how clever the machine is matters less than who signs the sheet. Essay
- The four-layer memory stack, and the dreaming loop beside it: reading Anthropic's memory research Anthropic splits agent memory into transcripts, notes, representations and injected context, and lets "dreaming" review the record offline — correcting notes, building wikis, lifting the few that belong in every session. A layer-by-layer read, with the experiment numbers, an engineering checklist, and four verified talks in English and Chinese. AI
- One hour a day, 365 hours a year: which half of Dan Koe's deep focus actually lands An hour a day sounds like a slogan until you multiply it: 365 hours is 45 full working days, and a lifetime of conscious bandwidth is about 15.8 GB. What survives from Dan Koe's focus essay is a five-layer frame; what does not is his sample. Essay
- The Database Got a New User: Record Stores and Context Layers for Agents The database's main user changed from people to agents, so it split into two legs: one holds state, one supplies context. Retrieval itself stopped being a recall problem and became an orchestration-and-compilation problem. Two essays, four papers, six vendors, one picture of where this actually stands. AI
- Seven layers between the model and the result: reading the guide against its own evidence A guide that splits a production agent into seven layers, whose strongest claim is that the model was never the problem. This reading reorders the argument by evidence strength — practitioner notes, one public incident, sponsored copy — adds the two layers it skips (cost and observability), and ends with eight checks. AI
- How one prompt grew into a company brain: Recall in four generations A retrieval skill, four generations deep, and the two hard decisions behind it: store the source upstream and treat everything else as a rebuildable projection, and let the server own recall while the calling model owns precision. With four sets of measurements and four steps you can copy. AI
- Reading DSec section by section: what a 3-million-sandbox-a-day platform says about agent training A section-by-section read of DeepSeek's 31-page DSec report: the workload numbers first, then three mechanisms (composable layers, memory reclaim, on-demand images), and what the 1.71x and 45.2% -> 17.3% results do and do not prove. AI
- Open Responses: one contract instead of N×M adapters A shared spec built on OpenAI's Responses API replaces a pile of provider adapters. The interesting part is not the field names but the state machine, the semantic events, and the MUST behind allowed_tools, truncation and previous_response_id — those decide who gets to make which call. AI
- Life is meaningless, the things you love are a con, and anger takes strength Three sentences that sound like defeat, put next to each other, turn out to be a working worldview: uncover the floor, call the furniture a forgery, then admit you cannot lift it. Six thoughts at night, with a short film in the Chinese version. Essay
- A chat box is not an agent OS: five places a 30-person company breaks it One claim — a chat UI on a single-user harness is not an agent OS — reads like a slogan until you take it apart. Five breakpoints: who is speaking, what it remembers, what survives a crash, which machine it acts on, and whether the reply was delivered. Checked against the Apache-2.0 repo, with the price attached. AI
- Automatic Ontology Engineering: Reading NVIDIA's Auto-Ontology at the Source Auto-Ontology compiles an ontology out of metadata and query history in four passes, then hands agents nine read-only MCP tools. After reading 1.1.0 end to end, I think it automates the first month — and that certification is a badge, not a gate. AI
- One person as a creative team: what transfers from Dan Koe's letter Dan Koe splits the creative director job into brand strategy, content strategy, and writing plus ops, then wires the three together with a nine block interview. This piece checks the three numbers that carry the urgency and marks the three things a technical reader should not copy. AI
- Cognitive surrender: hand off the work, not the judgement Addy Osmani splits agent use into delegation, deferral and surrender. This piece draws the slope, adds the Wharton and Anthropic numbers, and marks the places his argument does not quite reach. AI
- Think Before You Act: How JevAct Gates LLM Agent Actions JevAct inserts a gate before execution: code settles what tool records decide, a decision model answers only what the conversation says, and a boolean rule combines them. All eight agents improve on τ²-Telecom — and the paper is explicit about where the gate fails. AI
- SecLog, read closely: letting a delivery leave its own receipt A four-page paper asks one question: after a query result is handed over, how do you make sure a record of it lands on chain? The answer is to move an HTLC's trigger from the payment to the second half of the key — and every step of it runs into the same thing, trust. Web3
- Why Go Is the Default Language of the Agent Era Generation is no longer the scarce step — verification is. Google's Go team and spf13 arrive at the same conclusion from opposite directions: once writing code is nearly free, a language's value moves from how it writes to how it reads. Go
- Super-agent: DeepSeek Takes Sessions Away From the User DeepSeek Harness argues the bottleneck has moved from the model to human attention. Five modules, one two-layer design, and the part that actually runs in the open-source prototype. AI
- A Decentralized, Trusted MCP Runtime: Architecture and Implementation Agents are bounded by the tools they dare to call. An architecture that treats tools as content-addressed WASM modules, executes them in a sandbox, and makes them attributable — plus the five layers that implement it. AI
2025
- The Architecture of Trust: A Research Report on Web3.0 Database and Storage Systems tap to enlarge Section 1: Introduction - The Paradigm Shift from Centralized to Decentralized Data# The …
- The Vector Database Landscape: An In-Depth Analysis of Architectures, Technologies, and Strategic Applications tap to enlarge Section 1: The Rise of Vector Databases in the AI Era# 1.1 Beyond Traditional Databases: The …
- A Research Report on the Golang Green Tea Garbage Collector tap to enlarge I. Executive Summary The Green Tea garbage collector (GC) is an experimental, memory-aware …
2024
2022
2019
2018
- 高级编程:PHP扩展的 INI 配置文件操作 Extension INI Entries (扩展INI配置项) Defining php.ini directives (i.e., INI entries) in an extension is easy. Most …
- Nginx FAST-CGI caching, and what it bought Background In a classic LNMP stack, PHP-FPM parses every PHP script and Nginx forwards each PHP request to it. …
- 源码阅读:C语言epoll模型 背景 epoll是Linux内核为处理大批量文件描述符而作了改进的poll,是Linux下多路复用IO接口select/poll的增强版本,它能显著提高程序在大量并发连接中只有少量活跃的情况下的系统CPU利用率。另一点原 …
- Manjaro 安装 LNMP环境 安装PHP、PHP-FPM ; 编译安装 Nginx、MYSQL; 详细配置信息。# 1. 编译Nginx# 1.1 创建用户 及 用户组# sudo groupadd -r www sudo useradd -s …
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