tsenturk
Python 3.4: Beyond Scripting – Building Scalable Systems
Shield AI Just Raised $2B and Doubled Its Valuation in a Year
Python 3.2 and Concurrent.futures: The Release That Made Python 3 Worth Using
Cleaning the Slate: The Engineering Behind Python 3.0
From iTerm2 to Ghostty: A Mac Developer's Terminal Love Story
Python's Lazy Imports: Why It Took Three Years and Two Attempts
Gemini 3 Flash Powers Google's December AI Rollout
Tiny chip could change the future of quantum computing
Unix V4 Update
Build Your Own 100TB NAS in 2025: Complete TrueNAS Storage Guide
Spaced Repetition for Efficient Learning
Why Wormholes Are Making Headlines
AlphaFold and the Rise of the AI Co-Scientist
AI Skills 2025: LangChain, RAG and MLOps–The Complete Guide
AI Training vs. Inference: Why 2025 Changes Everything for Real-Time Apps
Data Agents L0-L5: Understanding the New Autonomy Hierarchy That's Reshaping AI
Debezium 3.4.0.Final Released
Addendum to GPT-5.2 System Card: GPT-5.2-Codex
LLM-Powered Relevance Assessment for Pinterest Search
Re:Agents Training Agents: A practical architecture for autonomous sel...
on Friday December 05, 2025 @01:38PM (#46165369)
When we set out to implement this within an n8n automation, we encountered some implementation challenges. The issues stemmed from the self-training process—specifically regarding the interest and stress score tree—reaching information saturation, which led to a decay in curiosity. However, keeping the threshold constant (not updating it) fundamentally resolved the issue. To be clear, the experiment has only just begun; this is merely an introductory post outlining the basic architecture.
Agents Training Agents: A practical architecture for autonomous self-improvement
You Want Microservices, but Do You Need Them?
Activation Functions: The 'Secret Sauce' of Deep Learning
Implementing RAG from Scratch with Python, Qdrant, and Docling
Implementing Drift Search with Neo4j and LlamaIndex
SHA1-Hulud, NPM supply chain incident
Beyond JSON: Converting Spring AI Tool Response Formats to Toon, XML, CSV, YAML
Re:Hugo Static Site on Cloudflare
on Monday November 24, 2025 @01:24PM (#46037246)
This article wasn’t written by ChatGPT — I wrote it myself. It’s meant to be just a brief explanation. I’m currently preparing a detailed piece about Workers & Pages, but it’s not that easy. The documentation isn’t very clear, so you end up figuring out many things empirically.
Re:Hugo Static Site on Cloudflare
on Monday November 24, 2025 @01:19PM (#46037188)
You’re absolutely right. There are two different ways to build:
1.Workers
2.Pages
And they can be quite confusing. I’ve started writing a new article to explain the differences in detail.