Blog

Scale AI partners with Webster University to launch a technical writing certificate advancing AI workforce skills.

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The emergence of Moltbook offer an early glimpse into AI agents operating collectively at scale. These systems demonstrate how interaction between autonomous agents can give rise to emergent behaviors that are not attributable to any single model or prompt, complicating traditional, model-level approaches to AI safety. Viewed through the AI Risk Matrix, such agent collectives point to a distinct and underdeveloped category of system-level risk with implications for evaluation, red teaming, and governance.

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Scott O’Neill is a plumbing sales professional in Louisiana who contributes to building better AI models in his spare time. Between a full-time job and raising two young daughters, Scott uses flexible, remote work through Outlier to stay connected to technology, apply his problem-solving skills, and continue learning. His story reflects how people from diverse backgrounds are helping shape the future of AI on schedules that fit real life.

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Scale CEO Jason Droege reflects on a record-breaking 2025 and shares how Scale is building reliable, production-ready AI systems for 2026.

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What it will take for the United States to move from AI experimentation to real governance, government-wide implementation, and lasting global leadership.

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The team is kicking off 2026 like the rest of us: by focusing on health(care)! They discuss why adopting AI in healthcare is different from other enterprise AI initiatives and how leaders can account for those differences. And as always, they react to some of the internet's hottest takes on AI (healthcare edition).

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How agentic AI systems give the U.S. military decision advantage through faster planning, alerting, and command and control.

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MoReBench is a large-scale benchmark for evaluating AI moral reasoning beyond final outcomes. Instead of scoring answers alone, it assesses the intermediate reasoning traces models produce when navigating 1,000 morally ambiguous, real-world scenarios. Our findings show that moral reasoning is a distinct and underdeveloped capability, largely uncorrelated with performance on traditional math and coding benchmarks.

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Agentic AI marks a shift from reactive chatbots to autonomous mission partners. Government must adopt unified Agentic Infrastructure—combining resilient agent execution and governed AgentOps—to enable machine-speed decisions. Platforms like Scale’s SGP and Agentex deliver interoperable, durable, and accountable autonomy for mission assurance.

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