Topic
20 articles found
GPU passthrough gets the attention, but Proxmox only feels reliable when storage, backups, and restores are organized properly.
Frankly, we don’t see gaming-specific features come to the Android core all too often. Recently, ex-journalist and now Google employee Mishaal Rahman offered up a surprisingly detailed preview of a great new feature coming to Android 17. It is called Foldable gaming mode, and what it does is basical
Welcome to Indie App Spotlight. This is a weekly 9to5Mac series where we showcase the latest apps in the indie app world. If you’re a developer and would like your app featured, get in contact. Mirage is a brand new app that brings best-in-class desktop wireless screen sharing to your entire Apple e
🚀 I built a microservice that generates microservices. 🎥 In this video, I walk you through exactly how it works. https://youtu.be/c1FJ5zyjia4 👇 https://youtu.be/sMTpjqpvH-c 👇 SpringBoot #Java #Microservices #EngineeringLeadership #BackendDevelopment #DevProductivity
Building an Autonomous AI Agent: From Zero to Production Most "AI agents" today are thin wrappers around an API call. They take a prompt, send it to GPT-4, and return the response. That's not an agent — that's a proxy. A real agent has persistent memory, autonomous decision-making, tool use, self-mo
Multi-Signal Memory Architecture for AI Agents Most AI agent memory systems use a single retrieval signal: embedding similarity. You embed the query, embed the memories, and return the top-k by cosine similarity. This works for simple cases but fails spectacularly for agents that need to remember co
In the previous article, we built AI Agents that autonomously search our pgvector database. One limitation remained: the tools were hardcoded inside our Python scripts. Only our code could use them. MCP (Model Context Protocol) fixes this. It turns our search functions into a standalone server that
There is a particular moment that hooks every developer on local AI. You type a question into a terminal, hit enter, and watch a coherent answer stream back — with your Wi-Fi off, no API key, no usage meter ticking, nothing leaving your laptop. The model is just there, running on silicon you already
Every time you ask a chatbot to draft an email, something physical happens a long way away. In a windowless shed the size of a cathedral, thousands of processors light up, draw power from the grid, and dump heat into the air or into water. Multiply that by a billion prompts a day, then by a building
In the previous article, we built an MCP server that any LLM client can connect to locally. In this article, we'll deploy it to the cloud — making it accessible from anywhere. Before: localhost:8000 → pgvector (Docker) After: https://your-app.onrender.com/mcp → Supabase (pgvector) Both services are
In this final article, we'll recap what we built across the series, consolidate the design decisions, and point to where to go next. Starting from a blank Python project, we built a complete AI system step by step: 01_setup_db.py pgvector table + extension 02_create_index.py HNSW index (m=16, ef_con
Introduction Can an AI model look at a painting and predict who created it? That was the main idea behind this project: an artist attribution system built with PyTorch and ResNet-50. The goal was to train a deep learning model on a dataset of paintings and allow it to predict the most likely artist
The previous parts of this series were written from a comfortable distance. I read the Trend Micro diagrams about Shai-Hulud, I theorised about Docker network egress and rolling keys, and I lectured everyone about phishing training while quietly assuming it would happen to other people's repositorie
If you have ever copy-pasted the same value into a dozen nodes, you already know the pain. n8n expressions are the fix. They let you pull live data from any previous node, do math, format dates, and build strings in any field in your workflow. This post covers everything you need to get moving: synt
The first time I watched a dynamic-pricing job touch a live catalog, the algorithm was the part I trusted. The part that scared me was that nothing stood between its output and three thousand real product prices. A stale feed, an off-by-one in a margin floor, and the system would happily write all o
Hey everyone, I wanted to share a quick reflection on how much the field of AI research has changed recently and see how others are navigating it. Looking at the landscape today, there has been a massive shift since LLMs and VLMs took over the market. It used to be that the work was centered around
We live squarely in the time the AI CEOs were warning us about.
Instagram users could soon see more ways to tune their content.
Hello everyone. I am glad to join the community. I am wondering what courses to attend in order to be qualified as AI Data Trainer! 1 post - 1 participant Read full topic
Teenage Engineering has already issued multiple substantial updates for its surprisingly capable $329 EP-133 KO II sampler. Its latest is one of the biggest yet. OS 2.5 adds audio over USB, selectable sample rates for lo-fi fun, sample reverse, an arpeggiator, equal-length autochopping, and it exten
