reasoning effort
2 stories filed under reasoning effort on Beyond Market Intelligence. The newest of them: “Testing 49 LLMs on Nonograms Reveals Where AI Logic Still Falls Short” and “Master reasoning budgets to make your AI work smarter, not harder”. Nonograms look like simple logic puzzles, but they've exposed a sharp limit in how today's best AI models reason. Controlling how much an LLM thinks before it answers is quietly becoming one of the most practical levers in AI. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every reasoning effort story on Beyond Market Intelligence, newest first.
Testing 49 LLMs on Nonograms Reveals Where AI Logic Still Falls Short
Nonograms look like simple logic puzzles, but they've exposed a sharp limit in how today's best AI models reason. Nonobench tested 49 LLMs on these grid puzzles, giving each model the clues once and letting it fill the full grid in one attempt, no tools, no retries. Solve rates dropped fast as grids grew: 85% on 5x5 puzzles fell to just 20% on 15x15. Even GPT-6 Astra solved all 30 standard puzzles, but on hard mode, Claude Opus 5.
Master reasoning budgets to make your AI work smarter, not harder
Controlling how much an LLM thinks before it answers is quietly becoming one of the most practical levers in AI. This post breaks down reasoning effort and token budgets with the kind of clarity that makes you wonder why it took so long to ask. It's not about hype; it's about giving users a dial they can actually turn. If you're tired of guessing why some responses feel overthought or rushed, this is worth your attention.