Interactive Visual Gym: Evaluating Visual Interaction Models Through Simulation
Salesforce — Learn how Salesforce AI Research built Interactive Visual Gym, an open benchmark using dynamic simulation to evaluate real-time visual AI assistants.
Benchmarks are standardized tests and scored suites used to measure artificial intelligence capabilities and performance across tasks. Truncated covers new evaluation methods, dataset updates, scoring controversies and how industry labs measure progress.
Salesforce — Learn how Salesforce AI Research built Interactive Visual Gym, an open benchmark using dynamic simulation to evaluate real-time visual AI assistants.
PYMNTS.com — The robotics industry has measured progress by machines shipped, tasks demonstrated and hours logged. China’s AGIBOT is proposing a different benchmark:
Forbes — Together, they answer a practical question: what evidence is enough to say that the next version is better?
patronus.ai — GlobeBench tests whether language models can stand in for an environment by predicting its response to an agent's next action.
huggingface.co — A Blog post by Ai2 on Hugging Face
The Decoder — SemiAnalysis is putting AI agents through simulated knowledge work in its new GDPx benchmark, covering everything from chip design to quant trading. No model breaks 12 percent. Claude Opus 5.5 leads narrowly over Gemini 4 Carbon. Critics point to the small number of tasks per domain and uneven testing conditions.
Forbes — The gap between what benchmarks measure and what businesses need is not theoretical, and it does not live where most leadership teams expect.
Fortune — In a first of its kind experiment, Gemini and Muse agents scored the highest when it come to carrying out tasks like buying a TV.
The Decoder — CloudOpsBench is a new open-source benchmark that measures how well AI agents handle typical DevOps tasks in the cloud, from fixing services and removing resources to restricting access rights, rolling out updates, and decommissioning projects.
The Decoder — Stanford researchers tested 50 widely cited claims about LLMs against 20 current models. 44 percent of the findings are already "expired," and another 34 percent have weakened significantly. The average lifespan is just 15.7 months. Claims about what models can't do expire fastest.
huggingface.co — We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Google Cloud Blog — Discover PLE, a new benchmark evaluating frontier AI agents on real-world mechanical, electrical, civil, and structural engineering tasks.
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