AI

For years, the computer vision community has worked on two different tracks: generative models (which generate images) and discriminative models (which understand them). The guesswork was straightforward – good models for it to do the pictures are not really good reading see. A new paper from Google, titled “Photographers are students of Generalist Vision” (arXiv:2604.20329), … Read more

In 2026, AI-powered coding tools began to revolutionize software development, and Cursor v3 emerged as a leading example. Unlike traditional development environments, Cursor v3 provides a new way for developers to interact with their code by using AI agents that assist in coding tasks. Ccursor v3 goes beyond the basic auto-completion offered by most IDEs … Read more

There is a silent failure mode that sits at the heart of every AI-assisted coding workflow. You ask Claude Code, Cursor, or Windsurf to modify the function. The agent does it confidently, cleanly, and incorrectly – because it didn’t know that 47 other functions depend on the return type it just changed. Breaking ship changes. … Read more

In this tutorial, we build an advanced workflow with Deepgram Python SDK and explore how modern voice AI capabilities come together in one Python environment. Set up for authentication, we integrate both native and interactive Deepgram clients, and work directly with real audio data to understand how the SDK handles transcription, speech production, and text … Read more

In this lesson, we work Microsoft’s OpenMementos dataset and explore how thought tracking is built with blocks and mementos in an efficient, Colab-ready workflow. We dissect the dataset, analyze its special token format, examine how logic and abstractions are organized, and measure the compression provided by the memento representation across different domains. As we continue … Read more

DeepSeek-AI has released a preview version of the DeepSeek-V4 series: two Mixture-of-Experts (MoE) languages ​​designed for the single main challenge of making million-token windows usable and affordable during speculation. This series consists of DeepSeek-V4-Pro, with 1.6T total parameters and 49B activated per token, and DeepSeek-V4-Flash, with 284B total parameters and 13B activated per token. Both … Read more

The latest set of open source models from DeepSeek is here. While the industry expected to dominate “it is closed” replication similar to GPT-5.5, the arrival of DeepSeek-V4 marked the reign in favor of open source AI. By combining a 1.6-parameter MoE parameter with a large 1 million token context window, DeepSeek-V4 successfully sold intelligence … Read more

OpenAI is open! While the company had everyone leading the way with its new image production model, ChatGPT Images 2.0, it decided that now is not the time to stop. And lo and behold, another speaker comes out of its offices, and remember, this is a big one. A new version of the popular ChatGPT … Read more

Training frontier AI models is, at its core, a correlation problem. Thousands of chips must communicate continuously, synchronizing all gradient updates across the network. If one chip fails or slows down, the entire training run may stop. As models grow to hundreds of billions of parameters, those weaknesses become increasingly unworkable. Google DeepMind now proposes … Read more

There is a pattern playing out in almost every engineering organization right now. A developer installs GitHub Copilot to quickly deploy code. The data analyst starts querying the new LLM reporting tool. The product team quietly embeds the third-party model into the feature branch. By the time the security team hears about any of them, … Read more