Llama 4 Explained: Scout, Maverick, and Behemoth (MoE)
Llama 4 explained: Meta's Scout, Maverick, and Behemoth mixture-of-experts models - architecture, context window, benchmarks, license, and how to deploy them.
How MRI Actually Works: The Physics of Magnetic Resonance
How MRI actually works: nuclear magnetic resonance, the main magnet and gradients, RF pulses, T1 and T2 relaxation, and how a spatial image is reconstructed.
Optogenetics: Engineering Light-Controlled Neurons
How optogenetics works: opsins like channelrhodopsin, light delivery, viral targeting, and how engineered light-controlled neurons are decoding the brain in 2026.
Micron’s AI Memory Supercycle: Why HBM Is the Bottleneck
Analysis of Micron's record 2026 quarter and the HBM supercycle: why high-bandwidth memory, not just GPUs, is now the binding constraint on AI compute.
Low-Latency Market Data Feed Handler: Engineering Guide
How to engineer a low-latency market data feed handler: line arbitration, ITCH and FIX parsing, kernel-bypass networking, order book build, and tail-latency tuning.
Vector Database Benchmarks 2026: 4 Ranked by QPS, Recall & Cost
A 2026 vector database benchmark: Pinecone, Weaviate, Qdrant, and Milvus on recall, latency, throughput, and cost - with what changed in the second half of 2026.
RWA Tokenization Architecture: Issuance to Settlement
A reference architecture for real-world asset (RWA) tokenization: issuance, custody, compliance, and settlement - a systems analysis, not financial advice.
Confidential Containers on Kubernetes: A 2026 Guide
Confidential containers on Kubernetes explained: TEEs, AMD SEV-SNP and Intel TDX, remote attestation, the CoCo project, and running sensitive workloads safely.
Multi-Region Active-Active Database Architecture (2026)
A multi-region active-active database architecture decision record: consistency models, conflict resolution, CRDTs, failover, and the latency-cost trade-offs.
AI Model Supply Chain Security: SBOM, Signing, Provenance
AI model supply chain security in 2026: model SBOMs, signing and attestation, poisoned weights, registry trust, and provenance for the ML pipeline.