Why I Stopped Waiting for Deep Work Blocks and Started Building in Taxi Rides
Originally published on AIdeazz — cross-posted here with canonical link. I used to believe serious building required serious sitting. The desk, the mo…
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Treasure Hunt Engine: Why One Bad Prometheus Rule Sank the Whole Veltrix Event
The Problem We Were Actually Solving Our real goal wasnt fancy LLM prompts or real-time leaderboards. It was keeping the Rails app under 450 ms p99 du…
I built a sovereign self-healing AI development system from scratch using Hyperdimensional Computing — no LLMs, no cloud, no APIs
Four years. One laptop. One Samsung tablet. No degree. No team. No funding. This is what I built. What is Vitalis FSI? Vitalis FSI is a fully autonomo…
ai, deepseek, machinelearning
title: The Rise of China's LLMs: A Complete History from 2017 to 2026 published: ture description: From Wu Dao 2.0 (1.75T params) to DeepSeek V3 ($5.6…
Power Management Strategies for Battery-Powered Edge AI Devices
[Set a precise power budget and measurable KPIs] [Engineer the power stage: PMICs, buck/boost converters and DVFS] [Implement firmware patterns to min…
AI Placement Decisions Are Architecture, Not Optimization
AI placement latency is not the problem most teams think they are managing. The default framing treats it as an optimization variable — pick the cheap…
From NumPy to JAX: My First "Aha!" Moments with Accelerated AI
Building open-source solutions for my 100 Days of AI Agents challenge meant I needed to start looking at frameworks that scale better than standard Nu…
The Open Source Illusion: Why "Free" AI Models Are Getting Expensive
The Open Source Illusion: Why "Free" AI Models Are Getting Expensive Everyone's watching Chinese open-source models. But the subscription costs are ca…
Building AI Workflows Is Easy. Making Them Reliable Is Systems Engineering
Building the first version of an AI workflow is usually easy. Connect an LLM to a few tools. Add some instructions. Let the model decide what to do ne…
Hytales Veltrix Config Files Were Breaking Production Search and No One Admitted How Often
In 2025 we inherited the public facing search index for Hytales treasure hunt system. The index powered both the in-game mini-map finder and the offic…
Pytorch for Neural Networks Part 1: Writing Your First Neural Network in Pytorch
In my previous series of articles, we mainly explored the theory behind various neural network concepts . In this new series, we will focus on putting…
June 9 - Visual AI in Healthcare: Ground Truth in the Foundation-Model Era
Join us on June 9 for a virtual workshop to learn how to handle expert label disagreement and build high performing fine-tuned medical foundation mode…
[Перевод] Я залез в исходники Claude Code. Фичи, которых нет в документации
Оказывается, документация Claude Code рассказывает не всё. Стоило только лишь заглянуть в исходники. И вот что можно настроить, но чего нет в доке: — …
Как работает адаптивный RAG, которому вообще не нужна LLM
Один из самых популярных способов снизить процент галлюцинаций языковых моделей — метод RAG, то есть схема, в которой модель при необходимости обращае…
Как работает адаптивный RAG, которому вообще не нужна LLM
Один из самых популярных способов снизить процент галлюцинаций языковых моделей — метод RAG, то есть схема, в которой модель при необходимости обращае…
MaaS 2026: Beyond the 'Model Supermarket' — The Infrastructure Battle
TL;DR In 2026, MaaS competitiveness is no longer about how many models sit on your shelf. It is about how reliably those models run in production. Thi…
Rudi AI Is a Character Wrapper Over Grok 4. Here Is What That Architecture Teaches Us About Building Persona-Driven AI Products.
Full product overview and parental controls guide: Aadhunik AI - Inside Rudi AI, Grok's Cute Companion with a Dark Side ( https://aadhunik.ai/blog/rud…
Your AI Has Two Brains: Fast Pattern Mode and the A11 Deep Reasoning Engine
In most tasks, a system relies on high‑speed thinking driven by attention vectors this is intuition . It is a fast, energy‑efficient, pattern‑oriented…
Data Scientist & AI Engineer — Open to Full-Time Opportunities
Hey Dev.to the community, I'm Ashwin Gururaj — a Data Scientist & AI Engineer based in Melbourne, Australia, currently open to full-time, contract…
I Built a Local AI Agent That Thinks Like a Brain, Not a Database
I Built a Local AI Agent That Thinks Like a Brain, Not a Database Most AI agents today are sophisticated autocomplete engines. Ask them something, the…
RAG SOTA: I Tested 7 Pipelines and Built SEQUOIA (Open Source)
RAG SOTA: I Tested 7 Pipelines and Built SEQUOIA (Open Source) After 20+ hours of compute time on local hardware, I benchmarked 7 RAG configurations a…
We Didn’t Just Train AI on the Internet. We Started Training It on Itself.
There’s a quiet assumption in almost every AI discussion right now: “If we scale compute and models, intelligence will keep improving.” That assumptio…
New Benchmark Reveals Hidden Trade-offs in AI Model Tuning Methods
Researchers uncover how popular parameter-efficient finetuning techniques balance learning new tasks against forgetting existing capabilities. A new e…
How to Build a Clean Academic Dataset Without Losing Your Mind (or Your Weekend)
The dataset problem nobody talks about.. and the API that quietly solves it. Everyone has an opinion on which model to fine-tune. Nobody talks about w…
Veltrix and the Day the Trace Loops Broke
The Problem We Were Actually Solving Last October we pushed Veltrix 2.4.1 into production with a new configuration layer called treasure-hunt-engine. …
QAT vs PTQ on our edge vision model: 6 months of A/B data
TL;DR: We ran post-training quantisation (PTQ) and quantisation-aware training (QAT) side by side on the same defect-classification model deployed on …
A-Z AI Glossary
AI Glossary: A to Z An A-to-Z glossary of AI terms, created with help from AI itself. Because in 2026, the best way to study AI is apparently to ask A…
Tensors Explained Part 1: How AI Systems Represent Data
In this article, we will explore the concept of tensors in the context of machine learning. From the perspective of someone building a neural network,…
Treasure Hunt Engine: How We Blew Up the Docs and Built a System That Actually Works
The Problem We Were Actually Solving Our users werent doing semantic search. They were executing treasure hunts: complex, multi-stage queries where th…
Week 1
Hi everyone! It’s been a week since my first post. In this past week, I’ve read through research papers on AlphaZero, AlphaGo and many interesting res…