I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
Jan Oberhauser Founder & CEO, n8n
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Tools like Gemini can be useful at work, but they're limited to the information you give them when it comes to personal help. With Chat integration, Gemini can see a great deal more information from what's often the fastest-moving part of your day. Of course, how useful it is depends on how heavily your team relies on Chat. If this implementation works, Chat could seriously threaten other workplace communication options like Slack and Teams.