6 articles in this category.
Taiwan's CES 2026 pivot from component supplier to systems exporter is credible, but software companies need productization discipline to turn hardware excellence into off-the-shelf global solutions.
If AI can dominate Go and chess, why has Taiwan-style 16-tile mahjong not produced a public, superhuman breakthrough model? The answer is not one missing algorithm. It is an ecosystem problem with technical, data, and incentive bottlenecks.
Chasing 100% accuracy in LLMs is a fool's errand. Real engineering value comes from reliability, predictability, and the ability to handle failure gracefully. Here is why 'dumb but consistent' often beats 'smart but random'.
A practical guide to designing open-domain AI systems with one concrete port-compliance case, failure containment patterns, and a production-grade evaluation workflow.
A fast, practical reliability audit for AI workflows: score the failure surface, find your weakest link, and implement one guardrail this week.
A practical team worksheet for evaluating open-domain AI tasks: evidence quality, uncertainty handling, and recovery behavior under messy real-world conditions.