Public documents outline HHS’s broad AI ambitions and Palantir’s position as a major federal AI vendor. But there’s no documented proof that HHS is using Palantir tools to target DEI or gender-related grants.
HHS Palantir AI grants: What Public Records Do—and Don’t—Show Read Post »
MIT’s emerging conversation on AI as rational agents is reshaping how organizations define good decisions, accountability, and collaboration with machines. Here’s what leaders need to know about bounded rationality, alignment, and evaluation.
Rationality in AI Systems: Practical Guide for Business Leaders Read Post »
NVIDIA’s tile-native virtual ISA meets Triton’s Python DSL, promising higher portability and Tensor Core efficiency for ML workloads. Here’s what engineering leaders need to know.
Advancing GPU Programming with the Triton CUDA Tile IR backend Read Post »
Google’s Gemini-powered Auto Browse aims to complete multi-step web tasks inside Chrome. Our review of early testing and announcements finds bold automation claims—but uneven execution and clear caveats.
Google Auto Browse hands-on review: promise vs. reality for Chrome’s new AI agent Read Post »
Structured 2:4 sparsity, low-precision tensor cores, and modern toolchains are reshaping inference economics. Here’s how a universal sparse tensor abstraction, portable pipelines, and evolving GPU features connect into a scalable strategy.
Establishing a Scalable Sparse Ecosystem with the Universal Sparse Tensor Abstraction Read Post »
Enterprises are racing to deploy autonomous agents—but execution risk is real. This guide distills practical controls for containment, testing, observability, and governance to ship agentic AI safely.
Practical Security Guidance for Sandboxing Agentic Workflows and Managing Execution Risk Read Post »
