AlphaFold 3 architecture explained: the Pairformer, the diffusion module, how it predicts proteins, DNA, RNA, ligands and complexes, and its accuracy and limits in 2026.
TimescaleDB internals explained: hypertables and chunk partitioning, columnar compression, continuous aggregates, retention, and tuning Postgres for time-series at scale.
Trino vs Presto vs Apache Spark for the lakehouse: MPP vs batch execution, latency, concurrency, Iceberg support, cost, and a decision matrix for query engines in 2026.
Fact-check of viral AGI countdown videos — what frontier models like GPT-5 and Claude Opus 4.6 actually do, where they fail, and the real 2026 timeline.
How Apple Intelligence works — A19 Neural Engine, Private Cloud Compute, attested ML servers, model routing, and the privacy-preserving AI architecture.