Algorithms & Theory

Frontier multimodal models usually process an image in a single pass. If they miss a serial number on a chip or a small symbol on a building plan, they often guess. Google’s new Agentic Vision capability in Gemini 3 Flash changes this by turning image understanding into an active, tool using loop ...

In this tutorial, we implement an agentic chain-of-thought pruning framework that generates multiple reasoning paths in parallel and dynamically reduces them using consensus signals and early stopping. We focus on improving reasoning efficiency by reducing unnecessary token usage while preserving ...

The pandemic feels like a lifetime ago, but its cultural aftershocks are still cracking foundations. People moved. Jobs changed. The culture of work had its script…

The previous article in this series, “Rules fail at the prompt, succeed at the boundary,” focused on the first AI-orchestrated espionage campaign and the failure of prompt-level control. This article is the prescription. The question every CEO is now getting from their board is some version of: ...

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Why AI companies are betting on next-gen nuclear AI is driving unprecedented investment for massive data centers and an energy supply that can support its huge ...

AI agents are no longer just answering questions. They read code, deploy apps, run workflows, move money, search the web, and remember what happened last week. MCP servers make that possible by connecting models to real systems. MCP replaces brittle APIs with structured, permission-aware access to ...

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a behavior dataset from a constrained policy, and then train both a Behavior Cloning baseline and a ...

Ever since its introduction, Kimi K2.5 has flipped the script on what we expect from large language models. From personal experience, I know that most of the AI models being used every day still focus on chat-style responses. In such an AI era, Kimi K2.5 arrived with a different ambition: using AI ...

Ever since its announcement, Grok has been among the leading generative AI platforms across the globe. Reason – its quick and accurate outputs, longer context handling, and of course, a bit of wit that accompanies all its responses. It is easy to see the AI model’s sharpness across output formats, ...

Generative AI

Qwen team has just released Qwen3-Coder-Next, an open-weight language model designed for coding agents and local development. It sits on top of the Qwen3-Next-80B-A3B backbone. The model uses a sparse Mixture-of-Experts (MoE) architecture with hybrid attention. It has 80B total parameters, but only ...