Roundtables: Can AI Learn to Understand the World?
A recent discussion explored the potential for artificial intelligence to better understand the physical world. AI companies are focusing on developing systems that can overcome the limitations of current language models. The conversation featured insights from prominent AI editors and reporters.
- ▪AI companies aim to build systems that understand the external world.
- ▪Recent developments have highlighted the importance of world models in AI.
- ▪The discussion included insights from Mat Honan, Will Douglas Heaven, and Grace Huckins.
Opening excerpt (first ~120 words) tap to expand
Artificial intelligenceRoundtables: Can AI Learn to Understand the World?Watch a subscriber-only discussion exploring how AI might enter the physical world. By MIT Technology Reviewarchive pageMay 21, 2026Available only for MIT Alumni and subscribers. Listen to the session or watch below AI companies want to build systems that understand the external world and overcome the limitations of LLMs. Recent developments have brought world models to the forefront of the AI discussion. Watch a conversation with editor in chief Mat Honan, senior AI editor Will Douglas Heaven, and AI reporter Grace Huckins exploring how AI might enter the physical world.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at MIT Technology Review.
Discussion
0 commentsMore from MIT Technology Review
