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How to Build a Self-Designing Meta-Agent That Automatically Constructs, Instantiates, and Refines Task-Specific AI Agents
ByRicardoIn 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 agent runtime. We go beyond static agent templates and instead build a dynamic, self-configuring architecture…
Harvey Introduces Harvey Tenet: A Kimi K3 Base Post-Trained with Fireworks for Long-Horizon Legal Agent Work
ByRicardoHarvey has launched Harvey Tenet, its first post-trained mannequin, as a research preview as of in the present day. Tenet is a Kimi K3 base post-trained with Fireworks by asynchronous reinforcement studying on long-horizon authorized work. The coaching corpus mixed artificial information, publicly obtainable authorized information, and human professional information. Harvey states no buyer information…
xAI Launches grok-voice-think-fast-1.0: Topping τ-voice Bench at 67.3%, Outperforming Gemini, GPT Realtime, and More
ByRicardoBuilding a production-grade voice AI agent is likely one of the hardest engineering challenges in utilized machine studying right this moment. It isn’t just about transcription accuracy. You want a system that may maintain context throughout a five-minute dialog, invoke exterior APIs mid-call with out an ungainly pause, gracefully get well when a caller corrects…
How to Build a Self-Organizing Agent Memory System for Long-Term AI Reasoning
ByRicardoIn this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge units. We design the system so that reasoning and memory management are clearly separated, allowing a dedicated component to extract, compress, and organize information. At the same time,…
Meituan Releases LongCat-2.0: A 1.6T-Parameter Open MoE Model with Native 1M Context and LongCat Sparse Attention
ByRicardoMeituan has launched LongCat-2.0, a large-scale Mixture-of-Experts (MoE) language mannequin. It carries 1.6 trillion whole parameters and prompts about 48 billion per token. The mannequin targets agentic coding: code understanding, technology, and execution inside agent workflows. Two info stand out. First, LongCat-2.0 helps a local 1-million-token context window. Second, each coaching and serving ran totally…
Build Recurrent-Depth Transformers with OpenMythos for MLA, GQA, Sparse MoE, and Loop-Scaled Reasoning
ByRicardoIn this tutorial, we discover OpenMythos by constructing a sophisticated recurrent-depth transformer workflow that runs end-to-end in Google Colab. We create each MLA and GQA mannequin variants, evaluate their parameter counts, and verify the soundness of the recurrent injection matrix via its spectral radius. We then transfer from easy ahead and technology checks into an…
