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Company Updates & Technology Articles
May 7, 2026
SWE Atlas is Complete: Measuring Coding Agents Across the Engineering Loop
SWE Atlas is now complete. With the launch of Refactoring alongside Codebase QnA and Test Writing, the suite measures the engineering loop around a code change and shows where today's coding agents fall short.
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May 6, 2026
Scale AI Expands Pentagon AI Partnership to $500 Million
The Department of War's Chief Digital and AI Office has expanded its enterprise agreement with Scale AI to $500 million, reflecting rapid AI adoption across the Pentagon.
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May 4, 2026
Static AI to Continual Enterprise Learning: A Living Dialect of Tribal Knowledge
Enterprise AI needs to match the judgment of your best people to deliver transformative value. The second pillar of Scale's Dialect turns tribal knowledge into a living learning system, so your AI compounds in capability with every expert decision.
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May 1, 2026
Scale AI Signs MOU with DOE to Advance the Genesis Mission
Scale AI has signed an MOU with the U.S. Department of Energy to support the Genesis Mission, helping make critical scientific data more usable, trusted, and ready for AI-driven discovery at scale.
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April 20, 2026
HiL-Bench: Your Agent is Smart. It Just Won't Ask for Help.
Frontier agents ace tasks with complete specs, then crash to 4% when key details are missing. They never ask for help. HiL-Bench is the first benchmark that tests whether they know when to.
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April 20, 2026
Scale AI Acquires ICG Solutions to Accelerate National Security AI
Scale AI announces the acquisition of ICG Solutions to accelerate the U.S. Government's AI-First transition for national security. By combining ICG’s LUX™ platform with Scale’s agentic platform, we are delivering an unmatched, end-to-end intelligence solution for the Department of War and the Intelligence Community.
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April 16, 2026
Understanding New Biosecurity Risks Posed by LLMs
Can AI turn a novice into a biosecurity expert? Our study with SecureBio found that non-experts using LLMs outperformed trained biologists, and current safeguards barely slowed them down.
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April 16, 2026
AI-Native Data Layer: Making Enterprise Data Agent-Ready
Enterprise data is scattered across systems, formats, and contexts that were never built for AI. Agents are forced to reconstruct the organization from fragments, leading to brittle workflows and unreliable results. The AI-native data layer, the first pillar of Dialect, unifies these sources into a connected semantic foundation that agents can consistently understand and reason over in production.
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April 13, 2026
Hidden Risks in Pharma's Most Common GenAI Starting Point
Health chatbots are one of pharma's most common first steps into GenAI, but a red team evaluation of a live deployment revealed safety gaps that standard QA processes aren't built to catch.
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March 31, 2026
Introducing Dialect: The Missing Layer Between AI and Enterprise Trust
Your business runs on context, exceptions, and institutional judgment—elements that are opaque to standard LLMs. Introducing Dialect: an infrastructure layer that bridges the gap between fragmented data and autonomous agents. Learn how the "Enterprise Intelligence Loop" turns expert feedback into a compounding competitive advantage.
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