research
Requests for Research 2.0
These problems represent concrete gaps in current AI capabilities; solving them could enable more reliable and powerful AI workflows for builders.
What happened
OpenAI published a new set of seven unsolved research problems under the name Requests for Research 2.0. These problems are derived directly from challenges that arose during OpenAI's internal research efforts. The initiative aims to engage the broader AI community in tackling these hard, open questions. For developers building AI workflows, this list serves as a signal of where the field's bottlenecks lie—areas like AI safety, robustness, and efficiency that currently limit practical deployment. Engaging with these problems could lead to novel solutions that directly improve AI tools and pipelines. Unlike the first version, which focused on more foundational AI safety, this iteration reflects more recent technical obstacles. Builders can treat these as potential research directions for open-source projects or as inspiration for new features in their own systems.
Key takeaways
- OpenAI released seven new unsolved research problems in Requests for Research 2.0.
- The problems come from real obstacles encountered during OpenAI's internal research.
- This is the second such call; the first focused on foundational AI safety.
- Topics span areas like robustness, alignment, and efficiency.
- The goal is to spur external contributions to these hard problems.
Why it matters
These problems represent concrete gaps in current AI capabilities; solving them could enable more reliable and powerful AI workflows for builders.
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