AI

In this lesson, we go through advanced testing, from the end of the Polyfactorywe focus on how to generate rich, pseudo-realistic data directly from Python type schemes. We begin by setting up the environment and continue to create data class factories, Pydantic models, and atrs-based classes, while demonstrating customization, overriding, calculated fields, and nested object … Read more

Producing images ready for publication is a labor-intensive bottleneck in the research workflow. While AI scientists can now manage literature and code reviews, they struggle to communicate complex findings. A team of researchers from Google and Peking University introduced a new framework called ‘Paper Banana‘ is changing that by using … Read more

In this tutorial, we build an AI workflow for a highly advanced agent that behaves like a production-grade research and reasoning system instead of a single quick call. We import real web sources in the same way, divide them into historical fragments, and apply hybrid retrieval using both embedded TF-IDF (sparse) and OpenAI (dense), and … Read more

How do you combine SigLIP2, DINOv3, and SAM3 into a single vision core without sacrificing compact or discrete functionality? NVIDIA’s C-RADIOv4 is the core of a new concept that combines three solid models, SigLIP2-g-384, DINov3-7B, and SAM3, into a single reader encoder. It extends the line of AM-RADIO and RADIOv2.5, keeping the same computing cost … Read more

In this tutorial, we build a complex end-to-end analytics workflow using complexipy. We start by measuring the complexity directly from raw code strings, then measure the same analysis on individual files and the entire project directory. Along the way, we generate machine-readable reports, normalize them into structured DataFrames, and visualize complex distributions to understand how … Read more

From Silicon Valley to the UN, the question of how to blame when AI goes wrong is no longer a matter of esoteric regulation, but a matter of national importance. This week, the Secretary-General of the United Nations asked that question, highlighting a key issue in discussions about the ethics and regulation of AI. He … Read more

Anthropic has been buzzing as of late. It recently caused a drop in stock markets with its release of the Claude Cowork tool that included shares of the world’s largest SaaS providers. And now they’re about to change thinking models with their latest release, Claude Opus 4.6, which they claim is their best coding model … Read more

Fayzpix Image Generator uses AI to take text instructions and generate high-quality images in a few simple steps. Without relying on special design tools or complex software, users simply express their idea and the system interprets it with its trained models. The results include realistic photography, highly detailed artwork, stylish compositions, and completely abstract creations. … Read more

Anthropic introduced Claude Opus 4.6, its most powerful model to date, focusing on long-range content visualization, agent coding, and high-value information work. The model builds on Claude Opus 4.5 and is now available on claude.ai, the Claude API, and major cloud providers under ID. claude-opus-4-6. The focus of the model: the activity of the agent, … Read more

OpenAI recently introduced GPT-5.3-Codex, a new agent coding model that extends Codex from writing and updating code to handling a wider range of tasks on the computer. The model combines GPT-5.2-Codex’s frontier code performance and GPT-5.2’s thinking power and technical know-how into a single system, and runs 25% faster for Codex users due to infrastructure … Read more