Experts
Experts on Beyond Market Intelligence: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on experts in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around experts, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

As AI safety concerns mount, three pioneers make the case for staying open
As AI safety discussions intensify, a vital debate unfolds. At Ai4, leading experts Geoffrey Hinton, Fei-Fei Li, and Andrew Ng explored critical pathways forward, addressing regulation, open-source access, and the imperative for American competitiveness amidst China’s advancements. This discussion underscores the need for thoughtful innovation. For a glimpse into the practical applications driving this evolution, explore "Three OpenAI Engineers Shipped A Million Lines. Your Ten-Hour Agent Run Starts Here."
![SkewAdam: A tiered optimizer that cuts MoE state memory by 97% (fits a 6.7B MoE on a 40GB GPU) [R]](https://preview.redd.it/1457xi9fcqeh1.jpg?width=140&height=90&auto=webp&s=879aad6df9e51a2735d91112d01518ff76ba3cbe)
SkewAdam: A tiered optimizer that cuts MoE state memory by 97% (fits a 6.7B MoE on a 40GB GPU) [R]
Introducing SkewAdam, a novel tiered optimizer designed to dramatically reduce memory consumption in Mixture-of-Experts (MoE) training. Research demonstrates a remarkable 97% reduction in optimizer state memory—allowing a 6.7B MoE model to comfortably fit on a single 40GB GPU. SkewAdam intelligently allocates precision based on parameter behavior, optimizing backbone, expert, and router components. See the full details and code on arXiv and GitHub. For broader context on advancements in AI hardware, explore "What to watch for after Jensen Huang’s Japan visit."