home

epstein-data
Research ▼
🔍 SearchFull-text document search 🤖 Ask AIAI research assistant 🔎 Evidence MapFBI serial resolution 📷 Reverse Image SearchCLIP + face across 614K images 🧑 Find Face BETASearch 29K faces by photo 💻 Run Your OwnDownload & search locally
Explore ▼
📚 Full Text Corpus1.39M docs, 2.77M pages 🌎 Global Heatmap145 countries mentioned 📈 Coverage MapWhat's here 🌌 AtlasSemantic map · 1.29M docs ⚖ Cases53 federal & state cases · per-case briefings 🎤 DepositionsTranscribed audio & video 💬 Hear from the SurvivorsSurvivors in their own words 📖 Cover to Cover-Up24-hour public reading, synced to the video ✉ Wolff–Epstein Emails2,009 messages · 2009–2019
📷 Images92K analyzed photographs 🔍 Multi-DB SearchSearch all databases individually 🗃 All Databases14 searchable databases
Reports
News ▼
📰 NewsCoverage & reporting ⚖ Justice MonitorArrests, charges, lawsuits, firings
Source ▼
🏛 DOJ ProductionOfficial EFTA disclosures 📜 EFTA Law TextPublic Law 119-38 📁 Source Data (GitHub)Open source databases
🌐 Community ResourcesCurated external projects ✉ ContactGeneral · privacy · DMCA · press
❤️ Donate 🎧 Podcast

Research

🔍 Search Documents 🤖 Ask AI 🔎 Evidence Map 📷 Reverse Image Search 🧑 Find Face BETA 💻 Run Your Own Investigator

Explore

📚 Full Text Corpus 🌎 Global Heatmap 📈 Coverage Map 🌌 Atlas ⚖ Cases 🎤 Depositions 💬 Hear from the Survivors 📖 Cover to Cover-Up ✉ Wolff–Epstein Emails 📷 Images 🔍 Multi-DB Search 🗃 All Databases

Reports

Browse All Reports 📰 News ⚖ Justice Monitor

Source

🏛 DOJ Production 📜 EFTA Law 📁 Source Data (GitHub) 🌐 Community Resources ✉ Contact
🎧 Podcast & Newsletter ❤️ Donate Privacy Policy

EFTA00682765

← Prev Next →
Loading document…

From: Steven Sinofsky To: Jeffrey Epstein -4 Subject: Fw: [New post] Learning by slipping Date: Tue, 14 May 2013 02:08:22 +0000 Importance: Normal Sent from Surface RT Check out From: Learning by Shipping Sent: Thursday, May 2, 2013 2:14 AM To: Respond to this post by replying above this line New post on Learning by Shipping Learning by slipping by Steven Sinofsky Countdown "Slipping" or missing the intended completion or milestone date of software projects is as old as software itself. There's a rich history of our industry tracking intended v. actual ship dates and speculating as to the length of the slip and the cause. Even with all this history, slipping is a complex and nuanced topic worth a bit of discussion about slipping as an engineering concept. Slipping I've certainly had my fair share of experience slipping. Projects I've worked on have run the full spectrum from landing exactly on time to slipping 20-30% from the original date. There's never a nice or positive way to look at slipping since as an engineer you're only as good as your word. So you can bet the end of every project includes a healthy amount of introspection about the slip. Big software projects are pretty unique. The biggest challenge is that large scale projects are rarely "repeated" so the ability to get better through iteration keeping some things constant is limited. This is different than building a bridge or a road where many of the steps and processes can be improvements from previous projects. In large scale software you rarely do the same thing with the same approach a second or third time. While software is everywhere, software engineering is still a very young discipline that rapidly changes. The tools and techniques are wildly different today than they were just a few years ago. Whether you think about the languages, the operating systems, or the user experience so much of what is new software today is architected and implemented in totally new

Suggest a category
Misclassified? Pick a better fit.
Community Notes
▸ People Mentioned
▸ Interest Level
Routine Notable Significant
▸ Dates Mentioned
▸ Related Topics
▸ Places & Organizations
▸ Transcription Correction
Related documents
Source Data Investigation Reports DOJ EFTA CC BY-NC-SA 4.0 Contact
Independent research project. Not affiliated with the U.S. Department of Justice, FBI, any government agency, or Anthropic. All analytical text on this site is AI-generated (Claude, Anthropic) and iteratively fact-checked against source documents, but may contain errors. Verify all claims against linked EFTA sources before citing.
Powered by Datasette  ·  ❤️ Buy me a coffee

You are leaving epstein-data.com

You are being redirected to an external website not operated by this project. We are not responsible for the content or privacy practices of external sites.

Powered by Datasette