Beyond Market Intelligence/Copy

Copy

Copy 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 copy 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 copy, 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.

Microsoft Excel | Help & Support with your Formula, Macro, and VBA problems | A Reddit Community

cant copy/reference a cell

Experiencing reference errors like `=A2` failing in your primary document, while working elsewhere, is a common frustration. This often stems from file corruption or complex formula interactions. First, try saving your main document as a new file to rule out corruption. Second, examine any recently added formulas or functions for potential conflicts. If you’re encountering unexpected errors, consider the issues explored in our article, "Unpredictable #SPILL! error," which addresses similar formula behavior. Consistent troubleshooting will pinpoint the root cause and restore reliable referencing.

Seeking collaborators for scaling and independent evaluation of a new recurrent language model architecture (preprint + code) [R]
Machine Learning

Seeking collaborators for scaling and independent evaluation of a new recurrent language model architecture (preprint + code) [R]

Researchers have introduced DABSN (Dynamic Adaptive Bias State Network), a novel recurrent language model architecture demonstrating promising results in reasoning, memory, and long-sequence tasks. The initial preprint and accompanying code—available in PyTorch, C++, and Triton—detail the architecture’s behavior and performance across benchmarks like MQAR and A5/60. Early language modeling experiments with a 24M parameter model have yielded unexpectedly strong results, prompting a second paper focused on scaling and long-context behavior. Collaboration is sought for independent reproduction, evaluation design, and access to larger GPU resources.