Arithmetic
Arithmetic 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 arithmetic 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 arithmetic, 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.
Pandas API for DuckDB, PostgreSQL & ClickHouse — keeping computation inside the database[P]
Introducing memFrame, an open-source DataFrame API designed to transform your data workflow. Instead of importing data into Python, memFrame compiles operations directly to SQL, enabling computation within databases like DuckDB, PostgreSQL, and ClickHouse. This approach empowers users to leverage the power of their databases for data inspection, cleaning, statistics, and more—all while minimizing data transfer. We’re releasing features incrementally, prioritizing stability and user feedback. Explore this innovative architecture, including its built-in multiagent capabilities for natural language interaction with your data.
Transformers are famously bad at arithmetic, so I set one's weights by hand (no training) and it multiplies with 100% accuracy [P]
Researchers have demonstrated a surprising feat: achieving 100% accuracy in arithmetic calculations within a Phi-3 transformer model, entirely without training. By meticulously hand-crafting the model's weights to implement a grade-school multiplication algorithm, they’ve created a functional three-digit calculator—and extended it to support up to 12-digit multiplication via Hugging Face checkpoints. This experiment highlights a stark contrast in performance compared to frontier models, revealing limitations in their ability to handle precise calculations.