The Child Who Drew Worlds — Turning Doodles into AI Magic No one truly understands that child who talks to the paper while drawing. My little cousin always loves to speak to himself while painting — as if conversing with a friend from another world. "He’s not just drawing pictures
Silicon Valley Drama — Altman, Musk, and Ilya The saga of Sam Altman, Elon Musk, and Ilya Sutskever continues — Silicon Valley’s very own _“Empresses in the Palace”_, a tangled mix of ambition, rivalry, and philosophical clashes. Altman Breaks Silence on His OpenAI Equity Altman recently made a rare public comment
The Case Against pgvector — Key Takeaways Read the full article: The Case Against pgvector (Hacker News discussion) While the title might sound provocative, Alex Jacobs’ write‑up provides excellent technical insights. It explores challenges encountered when operating pgvector — a PostgreSQL vector indexing extension — at scale, especially: * Maintaining large indexes with
A Rare Example of Light Gameplay Innovation Cover image generated by AI Casual elimination-based gameplay is one of the most highly monetizable genres in mobile gaming. This applies not only to traditional match-3 games, but also to variations using elimination mechanics—such as screw-tightening or rope-untying. While surface mechanics vary,
AI Reshaping the Marketing Industry The wave of AI is driving a deep structural transformation in marketing. At the 43 Talks 5th Speculative Salon — AI Marketing Session, co-hosted by 43 College, Yilun AI, and Origin Academy, the first guest speaker — David Chu, CEO of Zhiwei Jianxing and founder of the
Why Has No “Disney” Emerged in the Designer Toy Industry Yet? --- Recent Market Moves * TOP TOY has officially filed for listing on the Hong Kong Stock Exchange. * July 2025: Series A funding led by Temasek raised USD 59.43M at a valuation of USD 1.3B (~HKD 10.2B)
# Testing the Mainstream AI Browsers: A Complete Review Over the past week, I tested **all major AI browsers** — OpenAI’s **Atlas**, Perplexity’s **Comet**, Browser Company’s **Dia**, and **Edge Copilot**. Each product shines in different ways but also reveals shortcomings. Together, they propose **very different visions** for the browser
Cost Anomaly Detection Now Generally Available Last year, we launched the public preview of Cost Anomaly Detection — an AI-powered tool designed to tackle one of the biggest challenges in the cloud: unexpected costs. Its mission: give you a safety net that automatically spots unusual spending spikes, catching issues before they
# IntelliJ IDEA 2025.3 Plugin Development Guide As we approach the release of **IntelliJ IDEA 2025.3**, here’s everything plugin developers need to know. This guide covers **key changes**, **migration tips**, and **best practices** to maintain compatibility with the evolving IntelliJ Platform. --- ## ✅ Compatibility Overview - **No immediate update
🏆 Foundational Models ① Project: HiPO HiPO-8B is a novel reinforcement learning framework based on Hybrid Policy Optimization, enabling dynamic reasoning capabilities in large language models (LLMs). Key Highlights: * Developed by KwaiKAT team at Kuaishou in collaboration with NJU-LINK Laboratory (Nanjing University) and ARiSE Laboratory. * Features “think-on” and “think-off” mode switching to
AI Video & Image Workflow with Lovart, Hailuo 2.3, and LTX2 This post is more than just a review — it’s also a step-by-step workflow you can follow. We’ll look at last week’s Hailuo 2.3 update, explore its video transition effects, and test the unexpected staying
# Mastering `uv`: A Fast Python Package Manager Python package managers let you install and manage dependencies—such as **NumPy**, **pandas**, and more—directly from your terminal. In this guide, you’ll learn how to use **uv**, an extremely fast and modern Python package manager. --- ## Prerequisites Before starting, you should:
!image Datawhale Open Source Contributor: Datawhale Team --- 🎯 Hello-Agents — Rising Star in the Agent Learning Community Within just one week of release, Hello-Agents, a tutorial on intelligent agents from scratch, has surpassed 2.2k GitHub Stars, earning the title of a “top-tier tutorial” in the agent learning space. --- 📚 About
n8n
# Automating Workflows with n8n — A Guide for Technical Teams Automation has become one of the **most valuable skills** for any technical team. It eliminates repetitive tasks, accelerates operations, and frees up time for creative or strategic work. Whether it’s moving data between apps, triggering actions on changes, or creating
AI testing
# Bridging AI Evaluation with Real-World Business Impact *Magdalena Picariello reframes AI conversations around measurable business value, iterative development, and feedback-driven optimization.* --- ## Introduction Magdalena shifts focus from **algorithms and metrics** to **tangible business outcomes**, advocating for evaluation systems that go beyond accuracy. Her approach: - **Continuous feedback loops** - **Iterative
Ray
Scaling AI Workloads on TPUs with Ray Engineering teams are increasingly using Ray to scale AI workloads across diverse hardware, including GPUs and Cloud TPUs. While Ray provides a robust scaling framework, developers have traditionally needed to address the unique architectural and programming models of TPUs — including their distinct networking
Apple AI
Pico-Banana-400K: High-Quality Dataset for Text-Guided Image Editing Pico-Banana-400K is a curated dataset of 400,000 images developed by Apple researchers to advance text-guided image editing models. The dataset was generated through the following pipeline: * Source Images: Real photographs from the Open Images collection. * Image Editing: Google's Nano-Banana applied
decentralized architecture
Key Takeaways * Teams can make any decision after seeking advice from affected parties and documenting it in an Architectural Decision Record (ADR). * Context maps ensure clear team ownership of system areas. * Use architectural principles, immutable ADRs, and weekly advisory forums to maintain alignment. * Teams evolve through four phases: disbelief → excitement
sequence parallelism
00 — Preface Long-Sequence Training Challenges Training ultra-long sequences is a critical aspect of large model development. In real-world inference — especially within Agent pipelines — a model’s generalization ability to handle long contexts directly impacts its reliability. However, long-sequence scenarios place heavy demands on training resources due to the O(N²
incident postmortems
# Don’t Let Incident Postmortems Become Mere Formalities ## Use AI to Extract Value from Every “Fall”   This article examines why **incident postmortems** often drift into superficial
SRE
# Successful Public Speaking and Site Reliability Insights *By David Blank-Edelman — SRE Academy Program Lead, Microsoft* --- ## Introduction I’m David Blank-Edelman, and a big part of my work involves **helping people with public speaking**. To kick things off, I’d like to share a selection from my *Top 10 Tips
Perplexity AI
## Disclaimer The details in this post are based on information publicly shared by the **Perplexity Engineering Team**, **Vespa Engineering Team**, **AWS**, and **NVIDIA**. All technical credit belongs to the respective teams. Links to original articles and sources are provided in the **References** section at the end. We have added our
AI coding
# Six Months, 300,000 Lines Refactored — Lessons from Claude Code > Six months of real-world project work. > 300,000 lines of code rewritten. > It sounds like fiction — but for **JokeGold5455**, it was reality. --- ## Overview Developer **JokeGold5455** single‑handedly undertook the refactoring of a complex TypeScript microservices project.
Docusaurus
# Docusaurus 3.9 Release — AI Search, Runtime Upgrades, and i18n Enhancements **Date:** 2025-11-03 13:31 Beijing Docusaurus is a **React-based static site generator** maintained by Meta’s open-source team. The **3.9 release** brings major runtimes, search, and localization improvements — all while maintaining backward compatibility. ![image](https://blog.aitoearn.ai/