AI Quantum Intelligence - Pic of the week (2026-04-03)
This week's AI image is a celebration and reflection of Good Friday. It is a provocative and sophisticated contemplation on how technology—specifically neural network AI—might mediate, preserve, and reshape the collective sacred memories of humanity.
Step by Step Guide to Build an End-to-End Model Optimization Pipeline with NVIDIA Model Optimizer Using FastNAS Pruning and Fine-Tuning
In this tutorial, we build a complete end-to-end pipeline using NVIDIA Model Optimizer to train, prune, and fine-tune a deep learning model directly in Google Colab. We start by setting up the environment and preparing the CIFAR-10 dataset, then define a ResNet architecture and train it to establish...
How to Build Production Ready AgentScope Workflows with ReAct Agents, Custom Tools, Multi-Agent Debate, Structured Output and Concurrent Pipelines
In this tutorial, we build a complete AgentScope workflow from the ground up and run everything in Colab. We start by wiring OpenAI through AgentScope and validating a basic model call to understand how messages and responses are handled. From there, we define custom tool functions, register them in...
How to Build a Production-Ready Gemma 3 1B Instruct Generation AI Pipeline with Hugging Face Transformers, Chat Templates, and Colab Inference
In this tutorial, we build and run a Colab workflow for Gemma 3 1B Instruct using Hugging Face Transformers and HF Token, in a practical, reproducible, and easy-to-follow step-by-step manner. We begin by installing the required libraries, securely authenticating with our Hugging Face token, and load...
AI Reality Check: The Real Cost of Training Large Models (And Why It’s Rising)
Edition 6 of AI Reality Check provides a contrarian breakdown of the rising costs behind large-scale AI model training. This article exposes the real economics of compute, energy, data, and infrastructure—and why chasing scale without efficiency is becoming unsustainable.
How to Build and Evolve a Custom OpenAI Agent with A-Evolve Using Benchmarks, Skills, Memory, and Workspace Mutations
In this tutorial, we work directly with the A-Evolve framework in Colab and build a complete evolutionary agent pipeline from the ground up. We set up the repository, configure an OpenAI-powered agent, define a custom benchmark, and build our own evolution engine to see how A-Evolve actually improve...
Alexa+ gets new food ordering experiences with Uber Eats and Grubhub
You can now order from Uber Eats and Grubhub using Alexa+, an experience Amazon says will be similar to chatting with a waiter at a restaurant or placing an order at a drive-thru.
The Hidden Cost of Synthetic Drift: Why Models Quietly Degrade
Synthetic data can quietly erode model fidelity. Learn how synthetic drift accumulates and triggers model collapse and how organizations can detect early warning signals.
The Pentagon’s culture war tactic against Anthropic has backfired
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Last Thursday, a California judge temporarily blocked the Pentagon from labeling Anthropic a supply chain risk and ordering government agencies to stop using its ...