Intellectual hub of the topic
We explore why AI agents don't guarantee consistent results and what can be done to make them trustworthy.
OpenAI has developed the IH-Challenge approach, which helps language models correctly prioritize instructions from different sources.
NeuroBlog
Personal Growth & Learning • Thinking Skills
Let's explore why making a choice in complete uncertainty isn't a failure of logic, but a special skill you can develop without all the anxiety.
AI: Events
Research
Google DeepMind has introduced a cognitive framework for assessing progress toward artificial general intelligence (AGI) and launched a Kaggle hackathon to develop relevant benchmarks.
A study of faculty at 16 Russian universities reveals how AI is transforming research and teaching, and where it still falls short.
We explore why assessing AI agents' skills isn't just a formality, but a crucial step toward building systems you can trust with real-world tasks.
Researchers tested how resilient visual language models are to misleading geographical cues – and the results were quite telling.
Sber researchers have launched an open-source platform for the objective assessment of how accurately AI models can predict chains of events over long-term horizons.
Researchers have proposed a new approach to evaluating the quality of AI responses, which, instead of a simple «yes/no», attempts to understand the reasons behind errors.
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