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NVIDIA, Apple, Google, Microsoft, Amazon, and Meta gave Trump a combined $92 million for his ballroom

We knew that a number of big tech firms were helping to fund the construction of Trump's ballroom, but we didn't know just how much they were giving to the cause. Now the Washington Post published a list of all the major donors to the White House ballroom project, along with how much each contributed. […]

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Enterprise implementations of agentic architectures are shifting toward sustained multi-hour execution loops, driven by lower token costs and faster inference in specialized browser and automation tasks.Advancements in compact parameter architectures and efficient execution engines are enabling multi-step reasoning agents to run locally on consumer chips and edge devices without reliance on centralized datacenter infrastructure.Frontier AI providers are expanding targeted academic partnerships and compute grants, deploying domain-adapted model access to accelerate scientific workflows across life sciences and antimicrobial peptide research.Physical data center power limitations and scheduling delays are driving capital into re-engineered server rack configurations designed to expand compute density within existing electrical footprints.Frontier model developers face heightened state and federal regulatory scrutiny as consumer exposure broadens, marked by coordinated state lawsuits over child safety and federal inquiries into incident disclosure practices.Frontier AI developers are integrating external safety evaluators directly into internal workflows, granting researchers unblockable publication rights and employee-level system access to assess model risks.Frontier labs are simultaneously scaling multi-tier model architectures, pairing high-capability frontier models with low-cost small models optimized for subagent workflows and multi-cloud availability.Infrastructure operators are redesigning physical server rack architectures and power distribution strategies to address severe density, construction, and power delivery constraints in AI data center buildouts.