惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

S
Schneier on Security
A
Arctic Wolf
S
Security Affairs
O
OpenAI News
SecWiki News
SecWiki News
TaoSecurity Blog
TaoSecurity Blog
H
Heimdal Security Blog
T
Threat Research - Cisco Blogs
Hacker News: Ask HN
Hacker News: Ask HN
N
News | PayPal Newsroom
Google Online Security Blog
Google Online Security Blog
C
Cisco Blogs
The Hacker News
The Hacker News
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
C
CXSECURITY Database RSS Feed - CXSecurity.com
P
Privacy International News Feed
V
Vulnerabilities – Threatpost
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
酷 壳 – CoolShell
酷 壳 – CoolShell
H
Hacker News: Front Page
T
Tenable Blog
T
The Exploit Database - CXSecurity.com
Recent Commits to openclaw:main
Recent Commits to openclaw:main
Spread Privacy
Spread Privacy
人人都是产品经理
人人都是产品经理
www.infosecurity-magazine.com
www.infosecurity-magazine.com
V2EX - 技术
V2EX - 技术
L
LINUX DO - 最新话题
The GitHub Blog
The GitHub Blog
博客园 - 三生石上(FineUI控件)
T
The Blog of Author Tim Ferriss
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
V
Visual Studio Blog
The Cloudflare Blog
N
News and Events Feed by Topic
量子位
Google DeepMind News
Google DeepMind News
Application and Cybersecurity Blog
Application and Cybersecurity Blog
L
LINUX DO - 热门话题
P
Palo Alto Networks Blog
Stack Overflow Blog
Stack Overflow Blog
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
Attack and Defense Labs
Attack and Defense Labs
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
Hacker News - Newest:
Hacker News - Newest: "LLM"
Apple Machine Learning Research
Apple Machine Learning Research
The Register - Security
The Register - Security
Microsoft Security Blog
Microsoft Security Blog
Know Your Adversary
Know Your Adversary
Webroot Blog
Webroot Blog

Simon Willison's Weblog

Release: datasette 1.0a29 Thoughts on GitLab’s workforce reduction A quote from James Shore Your AI Use Is Breaking My Brain TIL: Using LLM in the shebang line of a script Learning on the Shop floor A quote from New York Times Editors’ Note A quote from Luke Curley Release: llm-gemini 0.31 Tool: Big Words Behind the Scenes Hardening Firefox with Claude Mythos Preview Notes on the xAI/Anthropic data center deal Tool: GitHub Repo Stats Live blog: Code w/ Claude 2026 Vibe coding and agentic engineering are getting closer than I’d like Release: datasette-referrer-policy 0.1 Release: datasette-llm 0.1a7 Release: llm-echo 0.5a0 Granite 4.1 3B SVG Pelican Gallery A quote from Andy Masley April 2026 newsletter Research: TRE Python binding — ReDoS robustness demo Tool: Redis Array Playground A quote from Anthropic Sightings iNaturalist Sightings Codex CLI 0.128.0 adds /goal Our evaluation of OpenAI's GPT-5.5 cyber capabilities Quoting Andrew Kelley We need RSS for sharing abundant vibe-coded apps Release: llm 0.32a1 LLM 0.32a0 is a major backwards-compatible refactor Release: llm 0.32a0 Quoting OpenAI Codex base_instructions Quoting Matthew Yglesias What's new in pip 26.1 - lockfiles and dependency cooldowns! Introducing talkie: a 13B vintage language model from 1930 microsoft/VibeVoice Tracking the history of the now-deceased OpenAI Microsoft AGI clause WHY ARE YOU LIKE THIS Quoting Romain Huet GPT-5.5 prompting guide llm 0.31 DeepSeek V4 - almost on the frontier, a fraction of the price Tool: Millisecond Converter It's a big one russellromney/honker Serving the For You feed Extract PDF text in your browser with LiteParse for the web A pelican for GPT-5.5 via the semi-official Codex backdoor API Release: llm-openai-via-codex 0.1a0 Quoting Maggie Appleton A quote from Bobby Holley Is Claude Code going to cost $100/month? Probably not—it’s all very confusing Where’s the raccoon with the ham radio? (ChatGPT Images 2.0) A quote from Andreas Påhlsson-Notini scosman/pelicans_riding_bicycles Release: llm-openrouter 0.6 TIL: SQL functions in Google Sheets to fetch data from Datasette Claude Token Counter, now with model comparisons Headless everything for personal AI Research: Claude system prompts as a git timeline Adding a new content type to my blog-to-newsletter tool - Agentic Engineering Patterns Join us at PyCon US 2026 in Long Beach—we have new AI and security tracks this year Release: datasette 1.0a28 Release: llm-anthropic 0.25 Qwen3.6-35B-A3B on my laptop drew me a better pelican than Claude Opus 4.7 Tool: datasette.io news preview Release: datasette-export-database 0.3a1 Release: datasette 1.0a27 Gemini 3.1 Flash TTS Tool: Gemini 3.1 Flash TTS A quote from Kyle Kingsbury Release: datasette-ports 0.3 Zig 0.16.0 release notes: “Juicy Main” datasette PR #2689: Replace token-based CSRF with Sec-Fetch-Site header protection Tool: SQLite Query Result Formatter Demo Tool: SQLite Query Result Formatter Demo A quote from Giles Turnbull A quote from Giles Turnbull Research: SQLite WAL Mode Across Docker Containers Sharing a Volume Research: SQLite WAL Mode Across Docker Containers Sharing a Volume Tool: Cleanup Claude Code Paste Release: datasette-ports 0.1 Eight years of wanting, three months of building with AI A quote from Chengpeng Mou Tool: Syntaqlite Playground Release: scan-for-secrets 0.2 Release: scan-for-secrets 0.1.1 Release: scan-for-secrets 0.1 Release: research-llm-apis 2026-04-04 A quote from Kyle Daigle Vulnerability Research Is Cooked The cognitive impact of coding agents A quote from Willy Tarreau A quote from Daniel Stenberg A quote from Greg Kroah-Hartman Research: Can JavaScript Escape a CSP Meta Tag Inside an Iframe? The Axios supply chain attack used individually targeted social engineering Highlights from my conversation about agentic engineering on Lenny’s Podcast
A quote from Andrew Quinn
2026-05-10 · via Simon Willison's Weblog

10th May 2026

One could say in the first quarter-century of my life, that while I was always fascinated by programming, I could never overcome the guilt of not really knowing whether the tool I am building right now isn’t already superceded by some much better implementation someone else has already written 30 or 40 years ago; I could write a TSV-aware search and replace, or I could find out about awk and solve that entire class of problems in one fell swoop, for example. My central conceit is that this is a trap. You need to reinvent a couple of wheels to get to the edge of what we know about wheel-making, not a thousand wheels, and not zero; probably four or five is sufficient in most domains, maybe closer to twenty or thirty in the most epistemically rigorous and developed fields like mathematics or computer science. Each wheel you reinvent, and every directed question you ask along the way, will propel you faster to the true frontier than that same amount of time spend in idle study, or even five times that amount.

Andrew Quinn, footnote on Replacing a 3 GB SQLite database with a 10 MB FST (finite state transducer) binary