The reliability challenge in making robots broadly useful
A blog coauthor calls reliability one of AI’s biggest open challenges, arguing that it will become a bigger bottleneck as systems are expected to act with more autonomy and trust.
TLDR
In a post introducing a blog about making robots broadly useful in the real world, a coauthor argues that current AI models work out okay when a person reviews their outputs—for example, when drafting code. But the author expects reliability to become more of a bottleneck as people look to systems to act more autonomously and with greater trust.