Master Artificial Intelligence
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Latest Insights
View All Articles →Inception Mercury 3: 1,068 Tok/s, 1M Context, 8 of 12 Benchmarks
Inception's diffusion LLM claims 1,068 tokens per second, a 1M-token context window, and wins on 8 of 12 self-reported benchmarks against GPT-6 Luna and Claude Haiku 5.5.
Claude Haiku 5.5: 90% Price Cut, 1M Context, Adaptive Effort
Claude Haiku 5.5 drops to $0.10 per million input tokens, expands to a 1M context window, and adds adjustable effort—but migration breaks old sampling-parameter calls.
Perplexity SPACE Sandbox: 0 VM Escapes in 108 Red-Team Runs
Perplexity open-sourced SPACE, the Firecracker microVM sandbox behind Perplexity Computer: Rust 0.8.0, 0 escapes in 108 red-team runs, egress bypasses fixed.
Local AI Is a Workload Decision, Not a Capability Race
Three releases—Muse Spark Open, Nemotron 3.5 Super VL, and AI Edge Foresight—show local AI wins only where privacy, latency, or offline requirements justify its costs.
1M Context Is Now a Pricing Problem, Not a Capability Race
At $0.10–$3.00 per million input tokens, 1M context makes whole-document vs retrieval an arithmetic choice, not a capability race.
We Planted 20 Wrong Figures for 4 LLM Editors. Here's What Survived
We replayed real edit prompts against Sonnet 4.6, DeepSeek V4 Pro, GPT-5.6 Sol and Gemini 3.1 Pro. Self-reported confidence told us nothing.
Featured Courses
View All Courses →Building Claude Skills
The complete developer's field guide to designing, building, and shipping production-grade Claude Skills and MCP integrations. Master the official standard for Claude extensibility.
Event-Driven Agentic AI
The Architect's Guide to Event-Driven Agentic AI. 10-page master technical whitepaper on scaling highly resilient, loosely coupled coordinate agent meshes. FREE download.
The Production AI Engineer
Evolve from basic prompt writing to a core AI Systems Architect. The ultimate 122-page technical playbook for scaling RAG, Agents, and GPUs. PDF ebook.
The Prompt Engineering Playbook
Master the RCFT framework, 20 battle-tested templates, and advanced techniques to 10x your AI output. PDF ebook.
Recent Guides
View All Guides →Run DeepSeek V4 Flash Locally with llama.cpp (2026)
Run DeepSeek V4 Flash locally with llama.cpp, a GGUF build, one 96GB GPU, and explicit checks for the current experimental support path.
Self-Host DeepSeek V4 with vLLM: 2026 Deployment Guide
Deploy DeepSeek V4 Flash or Pro with vLLM, size the GPU cluster, configure tensor parallelism, and compare self-hosting with current API prices.
Run Claude Code Locally with Ollama (2026 Setup)
Connect Claude Code to Ollama's Anthropic-compatible API, choose a supported coding model, set a 64K context, and verify inference stays local.
Engineering Tools
View All Tools →Transformer Explainer
Interactive walkthrough of embeddings, self-attention, transformer blocks, and output probabilities.
AI Token Cost Calculator
Compare the absolute latest frontier model pricing. Supports multi-currency unit economics.
AI VRAM Calculator
Calculate exactly how much VRAM is required to deploy or fine-tune models. Supports DeepSeek MLA.
System Prompt Meta-Optimizer
Apply frontier engineering patterns like XML tagging and Chain of Thought to your raw prompts.