Artificial Intelligence

Comparing the five major approaches to building agentic AI workflows — when to use monolithic frameworks, multi-agent orchestration, or the emerging LLM router pattern for autonomous tool selection.

Microsoft's DELEGATE-52 benchmark proves frontier models corrupt documents beyond 20 interactions. One week later, Google confirmed criminals used AI for a real zero-day exploit. The two findings describe the same gap from opposite ends.

A split architecture for local AI — MiniMax M2.7 extracts signals, PyMC's NUTS sampler produces calibrated posterior distributions. No cloud dependency, no LLM probabilistic reasoning, no API keys in production.

Run 3 specialised LLMs on a single DGX Spark in under 2 minutes with 100+ tok/s throughput. Production orchestration patterns revealed.

DeepSeek V4 ships two open-weight MoE models — a 1.6T Pro and a 284B Flash — with novel sparse attention, FP4 quantisation, 1M token context, and validated Huawei Ascend NPU support. Here's what actually changed.

Alibaba released Qwen3.6-35B-A3B on 16 April 2026, the first open-weight model in the Qwen3.6 series. The benchmarks show real gains in agentic coding, but the architecture is unchanged from Qwen3.5 and the red flags warrant scrutiny.

How CoreCoder reverse-engineered Anthropic's Claude Code from 512K lines into a minimal 950-line implementation, revealing the essential architecture of modern AI coding agents.

MemPalace stores verbatim conversation history with semantic search, achieving 96.6% recall on LongMemEval with zero API calls and zero cloud dependency.

The Hailo-8 AI accelerator cannot run LLMs. Here's what it can do alongside Gemma 4 on a Raspberry Pi 5, the real commands to set it up, and when to upgrade to a chip that actually handles language models.

A 26-person startup spent $20M training a 400B MoE model on 2,048 B300 GPUs — and produced the strongest open reasoning model outside China. Trinity-Large-Thinking ranks #1 on τ²-Airline at 1/28th the cost of Claude Opus 4.6.

A technical comparison of vLLM and SGLang, the two leading open-source LLM inference engines, covering architecture, performance, and when to pick each one.

From chat prompts to orchestrated multi-agent systems: the architecture behind 10 specialised agents, 25+ LLMs, and fully automated infrastructure deployment.

ACP standardises how editors talk to coding agents. Here's how it works, who supports it, and how to orchestrate 90+ projects with a single CLI.

The Linux kernel now has official AI coding guidelines — an Assisted-by tag, a ban on AI Signed-off-by, and Sashiko for automated review. What changed, and what it means for open source.

Gemma 4 brings frontier-level multimodal intelligence to open-source — with models ranging from 2B to 31B parameters, MoE efficiency, and native audio support for edge devices.

How LiteLLM, OpenCode, and Oh-My-OpenAgent form a multi-agent system where 10 specialised agents route through 25+ models across 3 providers with automatic fallback.

AWS has taken two specialised AI agents from preview to general availability. One keeps your systems running, the other breaks into them. Both are available today.

How Peter Steinberger's personal AI assistant went from 500 stars to 358,000, what the architecture looks like, and why OpenAI hired its creator.

A practical guide to engineering prompts for autonomous AI systems that plan, act, and iterate toward goals.

Generalist AI's GEN-1 achieves 99% task success rates on real robots using 500,000 hours of human physical interaction data — with only 1 hour of task-specific training. Is this the GPT-3 moment for embodied AI?

Learn how Generative Engine Optimization (GEO) differs from traditional SEO and how to optimize your content for visibility in ChatGPT, Perplexity, Google AI Overviews, and other AI-powered search engines.

Combine n8n's workflow automation with NVIDIA GB10 Grace Blackwell hardware for privacy-preserving, high-performance AI automation. Real-world use cases and implementation guide.

Deploy Qwen's latest agentic coding model with vLLM on NVIDIA DGX Spark. Complete configuration for tool calling, extended context, and optimal performance on the GB10 Grace Blackwell Superchip.

A practical guide to deploying production-ready LLM inference using vLLM on NVIDIA DGX Spark hardware, covering configuration, troubleshooting, and performance optimization.

A practical guide to vibe coding - the creative, flow-state approach to AI-assisted development using OpenCode, oh-my-opencode, and Superpowers skills.

Comprehensive guide on training artificial intelligence for software testing: architectures, pedagogical strategies, and validation frameworks

Interactive exploration of prompt engineering techniques for Knowledge Graph generation using LLMs

Comprehensive analysis of various AI tools transforming workforce productivity through agentic automation