Search Results: WEIRD

Large language models are often benchmarked against a narrow definition of "human"—the WEIRD population—yet a recent study shows their performance on psychological tasks drops sharply for non‑WEIRD cultures. The findings raise urgent questions for developers building globally‑aware AI and point to concrete steps for mitigating this bias.

Large language models are often benchmarked against a narrow definition of "human"—the WEIRD population—yet a recent study shows their performance on psychological tasks drops sharply for non‑WEIRD cultures. The findings raise urgent questions for developers building globally‑aware AI and point to concrete steps for mitigating this bias.

Large language models are often benchmarked against a narrow definition of "human"—the WEIRD population—yet a recent study shows their performance on psychological tasks drops sharply for non‑WEIRD cultures. The findings raise urgent questions for developers building globally‑aware AI and point to concrete steps for mitigating this bias.

Discover how a clever hashing technique bypasses massive random matrices for Johnson-Lindenstrauss projections, enabling efficient low-dimensional embeddings of text data. This method slashes memory requirements while processing 665k documents in seconds on consumer hardware—all through on-the-fly bit manipulation.

PostgreSQL 18.1 ships as a no-dump/restore minor upgrade, but its changelog is anything but minor: it closes fresh CVEs, fixes planner and replication edge cases, and hardens behavior that extension authors and large fleets rely on. For teams running 18.x in production—or building atop PostgreSQL internals—this release is a must-read, not a routine patch.

A tiny web app that conjures early-2000s digital horror scenes is exposing a fault line in generative AI: creators don’t actually want infinite possibility—they want controlled, coherent worlds. By reverse-engineering 2001-era cameras, compression, and CRT color, it hints at a future where domain-specific aesthetic engines rival general-purpose models in both quality and usefulness.