News
How to Design a Streaming Decision Agent with Partial Reasoning, Online Replanning, and Reactive Mid-Execution Adaptation in Dynamic Environments
20+ hour, 19+ min ago (346+ words) In this tutorial, we build a Streaming Decision Agent that thinks and acts in an online, changing environment while continuously streaming safe, partial reasoning updates. We implement a dynamic grid world with moving obstacles and a shifting goal, then use…...
Google AI Introduces Gemini Embedding 2: A Multimodal Embedding Model that Lets Your Bring Text, Images, Video, Audio, and Docs into the Embedding Space
1+ day, 12+ hour ago (317+ words) The primary architectural advancement in Gemini Embedding 2 is its ability to map five distinct media types'Text, Image, Video, Audio, and PDF'into a single, high-dimensional vector space. This eliminates the need for complex pipelines that previously required separate models for different…...
Fish Audio Releases Fish Audio S2: A New Generation of Expressive Text-to-Speech (TTS) with Absurdly Controllable Emotion
1+ day, 15+ hour ago (257+ words) The fundamental technical distinction in Fish Audio S2-Pro is its hierarchical Dual-AR architecture. Traditional TTS models often struggle with the trade-off between sequence length and acoustic detail. S2-Pro addresses this by bifurcating the generation process into two specialized stages: a…...
How to Build a Self-Designing Meta-Agent That Automatically Constructs, Instantiates, and Refines Task-Specific AI Agents
1+ day, 15+ hour ago (861+ words) In this tutorial, we build a Meta-Agent that designs other agents automatically from a simple task description. We implement a system that analyzes the task, selects tools, chooses a memory architecture, configures a planner, and then instantiates a fully working…...
NVIDIA AI Releases Nemotron-Terminal: A Systematic Data Engineering Pipeline for Scaling LLM Terminal Agents
1+ day, 23+ hour ago (312+ words) The race to build autonomous AI agents has hit a massive bottleneck: data. While frontier models like Claude Code and Codex CLI have demonstrated impressive proficiency in terminal environments, the training strategies and data mixtures behind them have remained closely…...
Anthropic Introduces Code Review via Claude Code to Automate Complex Security Research Using Advanced Agentic Multi-Step Reasoning Loops
2+ day, 23+ hour ago (376+ words) In the frantic arms race of "AI for code," we"ve moved past the era of the glorified autocomplete. Today, Anthropic is double-downing on a more ambitious vision: the AI agent that doesn"t just write your boilerplate, but actually…...
How to Build a Risk-Aware AI Agent with Internal Critic, Self-Consistency Reasoning, and Uncertainty Estimation for Reliable Decision-Making
2+ day, 13+ hour ago (454+ words) In this tutorial, we build an advanced agent system that goes beyond simple response generation by integrating an internal critic and uncertainty estimation framework. We simulate multi-sample inference, evaluate candidate responses across accuracy, coherence, and safety dimensions, and quantify predictive…...
Andrew Ng's Team Releases Context Hub: An Open Source Tool that Gives Your Coding Agent the Up-to-Date API Documentation It Needs
2+ day, 23+ hour ago (457+ words) In the fast-moving world of agentic workflows, the most powerful AI model is still only as good as its documentation. Today, Andrew Ng and his team at DeepLearning.AI officially launched Context Hub, an open-source tool designed to bridge the…...
ByteDance Releases DeerFlow 2.0: An Open-Source SuperAgent Harness that Orchestrates Sub-Agents, Memory, and Sandboxes to do Complex Tasks
2+ day, 13+ hour ago (293+ words) The most significant differentiator for DeerFlow is its approach to execution. Most AI agents operate within the constraints of a text-box interface, sending queries to an API and returning a string of text. If you want that code to run,…...
Andrej Karpathy Open-Sources 'Autoresearch': A 630-Line Python Tool Letting AI Agents Run Autonomous ML Experiments on Single GPUs
3+ day, 17+ hour ago (215+ words) Andrej Karpathy released autoresearch, a minimalist Python tool designed to enable AI agents to autonomously conduct machine learning experiments. The project is a stripped-down version of the nanochat LLM training core, condensed into a single-file repository of approximately ~630 lines of…...