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Pim de Witte built Medal before founding General Intuition, an AI lab developing world models and agents. His work explores how action-labeled gameplay data can train spatial-temporal intelligence, revealing a path from consumer platforms to embodied AI systems.
Ido Portal is an Israeli movement teacher and founder of Movement Culture, treating the body as a field for learning. His broad practice asks what humans can still learn to do, replacing isolated exercise with movement intelligence.
Gio Valiante is a performance psychologist who has coached top PGA Tour golfers and worked at Point72 Asset Management. His mastery-versus-ego framework examines how high performers can overcome fear of humiliation, build resilience, and execute under pressure without fixating on outcomes.
By replacing discrete judgments with continuous probabilistic scoring, researchers show how verification can improve agent performance without additional training. This explainer examines why better scoring may become a distinct scaling axis alongside model size, inference compute, and data.
Uber found its strongest AI use cases by pairing engineers with domain experts and rebuilding complete workflows. The approach sharply reduced planning and finance cycle times while exposing approvals and legacy tools that no longer added value.
Arvind Jain is founder and CEO of Glean, a Rubrik co-founder, and a former distinguished engineer at Google. His enterprise-search work illuminates how data-driven systems, fast execution, and scalable software help employees navigate internal company knowledge with AI assistants.
AI advantage is moving beyond raw model capability toward hidden reasoning states, modular post-training stacks, and continuous agent learning. Builders who understand these layers can improve performance, lower dependence on closed models, and turn production evidence into better systems.
Autonomous agents become useful only when they can identify work, act safely, and prove that real-world changes occurred. Proactive monitoring and state-aware evaluation offer a practical path beyond prompt-driven assistants and static text grading.