Real-world ETL testing approaches for massive datasets, incremental loads, and changing transformation logic.
DuckLabs is joining AWS. The open-source promises are reassuring, but history says otherwise. Here’s what the acquisition really means for DuckDB’s future.
FreeToken orchestrates CPU, GPU, VRAM, and RAM to run 753B MoE models on a single workstation card. Here’s how the memory dance actually works.
EXO Labs and Apple just killed the ‘Macs can’t cluster’ myth. Four M5 Ultra Mac Studios over Thunderbolt 5 RDMA deliver 4.8TB/s aggregate bandwidth. Here’s why latency, not bandwidth, is the real hero.
Kafka is a distributed commit log, not a task queue. Here’s what that actually means for your architecture, and where event-driven designs go wrong.
A UCLA professor used GPT to solve a decade-old math problem but couldn’t understand the AI’s compressed jargon. This reveals a growing interpretability crisis in AI.
The new M5 Ultra’s 1.2TB/s memory bandwidth is rewriting the rules for local AI inference. Here’s why the 3090 farm era might finally be over.
Comparing dlt against custom Python ETL scripts for low-volume, multi-source ingestion workflows, and why your ‘simple’ script isn’t as simple as you think.
Turbopuffer, Neon, and Cursor are pushing ‘store everything in S3.’ But does the latency math work for your workloads?
System-level latency optimization patterns that go beyond code tuning, bypassing components, co-location, preprocessing, and request hedging.
Leaked photos reveal Apple’s Private Cloud Compute servers packed with 32 M5 chips. Here’s what it means for on-device AI, privacy, and Apple’s competitive position.
Xiaomi’s AI Cube prototype joins three custom chips to push 1.22TB/s memory bandwidth and run 120B local models. Here’s why it matters and what’s still missing.
