The Main Barrier to AI Adoption

The Main Barrier to AI Adoption in the Public Sector is Lack of Training: How a Structured Method Increased Productivity in Two Brazilian Government Cases Without Incidents

Announce Type: new Abstract: The adoption of generative artificial intelligence in the public sector has been treated predominantly as a technological problem, with the expectation that productivity gains would follow from the availability of increasingly capable models. This paper argues, drawing on two auditable cases in the Brazilian Public Service, that the determining barrier to adoption observed in these units was not technological but training-related, and describes the four-layer...

AI offers promise for agriculture, but smallholder farmers risk being left behind

AI offers promise for agriculture, but smallholder farmers risk being left behind Robert Egan Associate Editor Globally, agriculture faces mounting pressures. These are driven by climate change, land degradation, labor shortages, supply chain disruptions and the demand for food from a growing population. At the same time, productivity is uneven.

Understanding How Enterprises Adopt the Model Context Protocol for LLM-Driven Software Engineering

arXiv:2606.09182v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used in AI-based software engineering, but their limitations in complex task execution and multi-tool coordination have driven growing interest in the Model Context Protocol (MCP). Existing research has mainly focused on MCP's technical design, with limited empirical evidence on how it is adopted and used in enterprise practice, particularly with regard to deployment challenges, operational risks,...

Europe told to cool its datacenter boom before water and power run short

The Frame Problem

The Frame Problem To most AI researchers, the frame problem is the challenge of representing the effects of action in logic without having to represent explicitly a large number of intuitively obvious non-effects. But to many philosophers, the AI researchers' frame problem is suggestive of wider epistemological issues. Is it possible, in principle, to limit the scope of the reasoning required to derive the consequences of an action?

Restartable Sequences

May 31st, 2026 @ justine's web page The best kept secret at the frontier of system programming right now is the Linux 4.18+ (c. 2018) concept of restartable sequences or rseq for short. They allow you to create thread-safe data structures without locks or atomics which scale to microprocessors with many cores. It's currently only possible to use rseq on Linux using handwritten assembly code.

Smart sensors could help Canada tackle its $58-billion food waste problem

Smart sensors could help Canada tackle its $58-billion food waste problem Lisa Lock Scientific Editor Andrew Zinin Lead Editor Each year, Canada generates roughly $58 billion in avoidable food waste, much of which is from spoilage that goes undetected until it is already too late. With food prices rising by as much as 27% over the last five years and supply chains under strain, Canada needs better ways to reduce this waste and safeguard the quality of perishable foods. New digital...

Crystal Nights by Greg Egan

Publication history - Interzone #215, April 2008. - Free podcast at Transmissions From Beyond. [Site no longer active] - Oceanic (collection, Orion) -