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How to Build an MCP Style Routed AI Agent System with Dynamic Tool Exposure Planning, Execution, and Context Injection
class RoutedAgent: def __init__(self, server: MCPToolServer, router: HybridMCPRouter, model: str): self.server = server self.router = router self.model = model def...
Best AI Agents for Software Development Ranked: A Benchmark-Driven Look at the Current Field
The AI coding agent market looks almost unrecognizable compared to 2024 or even early 2025. What started as inline autocomplete...
A Coding Implementation to Master GPU Computing with CuPy, Custom CUDA Kernels, Streams, Sparse Matrices, and Profiling
header("6. RAW CUDA KERNEL — MANDELBROT") mandel = cp.RawKernel(r''' extern "C" __global__ void mandel(float xmin, float xmax, float ymin, float...
Nous Research Releases Token Superposition Training to Speed Up LLM Pre-Training by Up to 2.5x Across 270M to 10B Parameter Models
Pre-training large language models is expensive enough that even modest efficiency improvements can translate into meaningful cost and time savings....
Enterprise AI Governance in 2026: Why the Tools Employees Use Are Ahead of the Policies That Cover Them
By the time a company’s legal team finishes drafting its generative AI acceptable use policy, a meaningful percentage of its...
Mira Murati’s Thinking Machines Lab Introduces Interaction Models: A Native Multimodal Architecture for Real-Time Human-AI Collaboration
Most AI systems today work in turns. You type or speak, the model waits, processes your input, and then responds....
Build a Hybrid-Memory Autonomous Agent with Modular Architecture and Tool Dispatch Using OpenAI
class MemoryStoreTool(Tool): name = "memory_store" description = "Save an important fact or piece of information to long-term memory." def __init__(self,...
Tilde Research Introduces Aurora: A Leverage-Aware Optimizer That Fixes a Hidden Neuron Death Problem in Muon
Researchers at Tilde Research have released Aurora, a new optimizer for training neural networks that addresses a structural flaw in...
Understanding LLM Distillation Techniques – MarkTechPost
Modern large language models are no longer trained only on raw internet text. Increasingly, companies are using powerful “teacher” models...
Sakana AI and NVIDIA Introduce TwELL with CUDA Kernels for 20.5% Inference and 21.9% Training Speedup in LLMs
Scaling large language models (LLMs) is expensive. Every token processed during inference and every gradient computed during training flows through...
Best Vector Databases in 2026: Pricing, Scale Limits, and Architecture Tradeoffs Across Nine Leading Systems
Vector databases have graduated from experimental tooling to mission-critical infrastructure. In 2026, vector databases serve as the core retrieval layer...
NVIDIA AI Just Released cuda-oxide: An Experimental Rust-to-CUDA Compiler Backend that Compiles SIMT GPU Kernels Directly to PTX
Step 01 of 09 · Prerequisites What You Need Before You Start cuda-oxide has specific version requirements for each dependency....
NVIDIA AI Releases Star Elastic: One Checkpoint that Contains 30B, 23B, and 12B Reasoning Models with Zero-Shot Slicing
Training a family of large language models (LLMs) has always come with a painful multiplier: every model variant in the...
9 Best AI Tools for Spec-Driven Development in 2026: Kiro, BMAD, GSD, and More Compare
As AI coding agents grow more capable, a structural problem has emerged: speed without clarity. Developers generate working code in...
