AI Business LensTHE BUSINESS OF AI, FOR PEOPLE WHO TEACH IT OR LEARN FROM IT
TechCrunch · September 20, 2026 · On the brief until October 4, 2026

Vals, backed by Andreessen Horowitz, is looking to become the gold standard for AI benchmarking

AssessmentData ScienceComputer Science
THE AI ANGLE
Evaluating frontier models on complex domain-specific tasks and risks

Startup Vals raised $40 million in Series A funding to address flaws in legacy AI benchmarking, arguing that older public tests allow companies to game metrics rather than reflect modern model capabilities. By keeping its testing materials private and focusing on complex, domain-specific tasks in fields like coding, law, and cybersecurity, Vals offers paid evaluations to verify real-world performance and risks. For faculty in computer science, data science, and assessment, this shift underscores how evaluation methodologies must evolve beyond abstract standardized tests to robust, task-oriented measures.

Summary written by AI Business Lens with an AI model from the article at techcrunch.com. It is not the article, and the publisher has not reviewed it. For publishers.

THE TEACHING ANGLE
Instructors can explore the tension between open-access benchmarks, which promote academic transparency but risk models 'teaching to the test', and proprietary, black-box evaluations that guard against cheating but limit external reproducibility.

Read the original at techcrunch.com   Generate teaching or study materials

Instructors get discussion guides, assignments, and mini-cases. Students and readers get a plain summary, points to raise, an exercise, and a self-check. All built from the full article. A free account saves stories and gives you three generations. Stories stay on the brief for 14 days. After that this page keeps the link to the original.

More in Assessment