翻译记录

• Principal Drift in Practice – O’Reilly
  https://www.oreilly.com/radar/principal-drift-in-practice/
• Building an AI Text Detector From Scratch
  https://magazine.sebastianraschka.com/p/ai-detector-from-scratch
• https://niki.cat/detecting-scraper-bots-through-scroll-behaviour
  https://niki.cat/detecting-scraper-bots-through-scroll-behaviour
• PostgreSQL for Everything - Dr. Raphael A. Bauer, MBA | Fractional & Interim CTO | PE/VC Tech Strategy & Due Diligence | Berlin | London | Austin, Texas
  https://www.raphaelbauer.com/posts/postgresql-everything/
• Universality of Gradient Descent Neural Network Training
  https://arxiv.org/html/2007.13664v1
• Latest open artifacts (#23): Laguna S2.1, Inkling, & Kimi K3 show the utility of open models on the Pareto frontier
  https://www.interconnects.ai/p/latest-open-artifacts-23-laguna-s21
• A Preview of DuckDB v2.0 – DuckDB
  https://duckdb.org/2026/08/17/duckdb-20-highlights
• How Kenn is doing Agentic Engineering – Wes McKinney
  https://wesmckinney.com/blog/agentic-engineering-aug-2026/
• Taking a Tip From Plants - For the Eyes? | Science | AAAS
  https://www.science.org/content/blog-post/taking-tip-plants-eyes
• How Compaction Works in Pi | EARENDIL
  https://earendil.com/posts/compaction-in-pi/
• Prompt Debt and “Fighting the Weights” – O’Reilly
  https://www.oreilly.com/radar/prompt-debt-and-fighting-the-weights/
• State of Open Models: Summer 2026 Observations
  https://huggingface.co/blog/state-of-open-models-summer-2026
• Reducing Text2SQL latency with parameterized query templates | AWS Architecture Blog
  https://aws.amazon.com/blogs/architecture/reducing-text2sql-latency-with-parameterized-query-templates/
• Elevators
  https://john.fun/elevators
• Technical Debt in the AI Era | IEEE Journals & Magazine | IEEE Xplore
  https://ieeexplore.ieee.org/document/11602610
• TDD inside the agent loop - theater or actual value?
  https://martinfowler.com/articles/exploring-gen-ai/tdd-in-the-agent-loop.html
• A Home for Personal Context – O’Reilly
  https://www.oreilly.com/radar/a-home-for-personal-context/
• Latency vs. Tokens: What I Learned Optimizing an Agent with Gemma (and What Didn't Work) - DEV Community
  https://dev.to/gde/latency-vs-tokens-what-i-learned-optimizing-an-agent-with-gemma-and-what-didnt-work-445g
• x
  https://aws.amazon.com/blogs/architecture/reducing-text2sql-latency-with-parameterized-query-templates/
• Comprehension as an Architectural Characteristic: A System That Is Not Understood Cannot Evolve Safely - InfoQ
  https://www.infoq.com/articles/system-comprehension-evolutionary-architecture/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global
• Before Q, K, and V: Reconstructing the Transformer | Towards Data Science
  https://towardsdatascience.com/before-q-k-and-v-reconstructing-the-transformer/
• The Tokenpocalypse Is Here: Companies Are Scrambling To Stop Spending So Much on AI
  https://www.404media.co/the-tokenpocalypse-is-here-companies-are-scrambling-to-stop-spending-so-much-on-ai/
• GitHub Models is now retired - GitHub Changelog
  https://github.blog/changelog/2026-07-30-github-models-is-now-retired/
• How we pushed CDC into Postgres — and turned replication into clockwork
  https://www.snowflake.com/en/blog/engineering/postgres-to-snowflake-replication-mirroring/
• Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering
  https://arxiv.org/html/2601.14470v1
• Hybrid OCR-LLM Framework for Enterprise-Scale Document Information Extraction Under Copy-heavy Task
  https://arxiv.org/html/2510.10138v1
• Deep Agents vs LangChain vs LangGraph
  https://www.langchain.com/blog/deep-agents-vs-langchain-vs-langgraph
• Managed Deep Agents is now in public beta
  https://www.langchain.com/blog/managed-deep-agents-is-now-in-public-beta
• From weeks to minutes: How Formula 1® uses agentic AI on AWS to accelerate data operations | Artificial Intelligence
  https://aws.amazon.com/blogs/machine-learning/from-weeks-to-minutes-how-formula-1-uses-agentic-ai-on-aws-to-accelerate-data-operations/
• A Visual Guide to Quantization - by Maarten Grootendorst
  https://newsletter.maartengrootendorst.com/p/a-visual-guide-to-quantization