AI Glossary
What is Reasoning model?
Reasoning models spend extra inference-time tokens working through a problem step by step — exploring, backtracking, and verifying — before producing a final answer. This dramatically improves math, science, and code performance at the cost of latency and tokens. They are billed like normal models but consume far more output.
News momentum
Mentions in recent AI news titles and summaries, refreshed from the ingestion stream.
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+6 vs prior 7d
- UniWALM: Unified World Action Language Model for Embodied Robot Control
arxiv-ai · 1d
- Adaptive Stopping of Streamed Reasoning for Language Model Agents
arxiv-ai · 1d
- Scaling Graph Reasoning in Language Models with Learnable Graph Positional Encodings
arxiv-ai · 2d
- SOMA: Continuous Monitoring and Intervention for System Two Reasoning with System One Models
arxiv-ai · 2d