⚡ Micro-lesson Articles

I didn’t want to build another “AI for Ops” demo. Continue reading on Medium »

I didn’t want to build another “AI for Ops” demo. Continue reading on Medium »

Pernahkah kita menyadari seberapa jauh teknologi web telah berevolusi? Jika kita mundur ke beberapa dekade lalu, JavaScript seringkali… Continue reading on Medi

Pernahkah kita menyadari seberapa jauh teknologi web telah berevolusi? Jika kita mundur ke beberapa dekade lalu, JavaScript seringkali… Continue reading on Medi

In today’s fast-paced digital landscape, businesses need robust, scalable, and efficient web applications to stay competitive. One of the… Continue reading on M

Why your “Executive Chef” shouldn’t be handling basic queries — and the 3-step framework to optimise your AI margins. Continue reading on Medium »

Benchmarks tell you what an agent can do. They rarely tell you where it breaks. VAKRA, a new...

Introduction The search mechanism has changed drastically in recent years. A few years ago, ranking on page one of Google meant guaranteed… Continue reading on

How an embarrasingly big amount of mathematicians were wrong Continue reading on Medium »

Role: SDE-2 (Frontend) Experience: 3+ Years Location: Mumbai Interview Rounds: 4–5 Focus Areas: JavaScript, React Optimization, Machine… Continue reading on Med

A senior data analyst costs $85/hour fully loaded. The AI tools now sitting in your BI stack cost less than a dollar. That math doesn’t… Continue reading on Med

arXiv:2604.18645v1 Announce Type: new Abstract: This paper addresses the Variable Gapped Longest Common Subsequence (VGLCS) problem, a generalization of the cla

arXiv:2604.18724v1 Announce Type: new Abstract: Users typically interact with and evaluate language models via single outputs, but each output is just one sampl

arXiv:2604.18789v1 Announce Type: new Abstract: Reinforcement Learning from Human Feedback (RLHF) is central to aligning Large Language Models (LLMs), yet it in

arXiv:2604.18805v1 Announce Type: new Abstract: Large language model (LLM)-based systems are increasingly deployed to conduct scientific research autonomously,

arXiv:2604.18838v1 Announce Type: new Abstract: This research investigates the performance and efficacy of machine learning models in stock prediction, comparin

arXiv:2604.18847v1 Announce Type: new Abstract: As LM agents gain the ability to execute actions on real computer systems, we need ways to not only prevent harm

arXiv:2604.18873v1 Announce Type: new Abstract: Large language models (LLMs) are highly capable at language generation, but they remain unreliable when reasonin

arXiv:2604.18874v1 Announce Type: new Abstract: Tool-integrated agents are deployed on the premise that external tools ground their outputs in reality. Yet this

arXiv:2604.18882v1 Announce Type: new Abstract: We present a formally verified framework for patent analysis as a hybrid AI + Lean 4 pipeline. The DAG-coverage

arXiv:2604.18934v1 Announce Type: new Abstract: Existing AI benchmarks for software automation rarely combine cross-application coordination, autonomous API dis

arXiv:2604.18946v1 Announce Type: new Abstract: Large reasoning models (LRMs) achieve strong performance on complex reasoning tasks but often generate harmful r

arXiv:2604.18964v1 Announce Type: new Abstract: This paper introduces DW-Bench, a new benchmark that evaluates large language models (LLMs) on graph-topology re

arXiv:2604.18982v1 Announce Type: new Abstract: Social intelligence, the ability to navigate complex interpersonal interactions, presents a fundamental challeng