Blog

For those new to SaaS business, acronyms and technical terms can be confusing. This quick reference guide explains common SaaS and valuation metrics in a mathematical format for easy understanding.

From graduating with a Ph.D. to building products, I've increasingly realized that sufficient promotion and exposure are crucial for making your research and open source projects truly 'exist'. This article systematically introduces five types of communication channels (Media Domain, Public Domain, Paid Domain, Community Domain, Private Domain) and four types of media formats to help researchers and developers promote their work like operating a product.

This article explores the embryonic form of AI-native enterprise software systems and their profound impact on various aspects of business operations, using Y Combinator's 2025 Fall startup directions as background. From product development, R&D, operations to administration and strategy, how AI becomes the next-generation enterprise operating system, ultimately driving transformation in management philosophy and efficiency.

Complete migration from Hugo + GitHub Pages to Next.js + Vercel - not just a performance upgrade, but the beginning of architectural freedom. This article documents the 'major surgery' I performed on my personal homepage and officially open-sources this template tailored for researchers and developers.

When Earth's final night descends, three fugitives flee the ruins with humanity's spark. They believed they were escaping, never knowing they were crossing the very boundaries of fate.

In the age of AI, the ability to evaluate, judge, and appreciate is becoming the new form of productivity. Human definitions of 'good' and 'beautiful' are reshaping the essence and value of creation itself. From the complete creative loop of the craft era to the evaluation-driven paradigm of the AI age, we're witnessing a fundamental revolution in how we produce and create.

Multi‑epoch training wastes time on easy, well‑learned samples. InfoBatch dynamically prunes data and rescales the loss to keep accuracy while speeding up training by 20–40% across vision and language tasks.

Continual fine‑tuning of vision‑language models can damage zero‑shot transfer. ZSCL adds simple constraints in feature and parameter space to keep zero‑shot ability while improving downstream performance.

Training large language models uses a lot of memory. CAME cuts memory use to Adafactor levels but keeps Adam-like performance.

Large language models (LLMs) possess a remarkable ability to anticipate the length of their generated responses. By leveraging this capability, we propose a novel technique called Sequence Scheduling to enhance the efficiency of LLM batch inference.

A step-by-step derivation of the backpropagation algorithm for multi-layer perceptrons.