o3-mini

o3-mini high AI: I I will solve tasks from by mathematics AIME. I first thoroughly task, her/its on subtasks and I will solve each step for step. I I will use all necessary mathematical tools, including numbers and etc.etc. goal — solve task correctly and obtain correct answer. task I I will solve following manner: 1. task, all important details and that is required find. 2. general strategy solutions, key concepts and which can be 3. solution, its on steps and full justification each step. 4. its solution, that it all tasks. 5. final answer in format (usually number from 0 to 999). I I will for computational errors and its work. I also I will consider approaches, if approach complex or • Self-reported

Method (Verified Predictions), in evaluation, on for determination model. This provision model question with context and comparison her/its answer with in advance reference answer. If answer model can on basis her/its answer other for example, at more model or human-Verification useful for evaluation actual accuracy model, especially in tasks with how in case "Frontier AGI" models. These systems can do about which even For example, some LLM can about mathematical which are complex, that even difficult their verify. Task verification still when model new scientific or which verify. In such cases important rely on methods evaluation, which can and their match knowledge, even if while • Self-reported

o3-mini high AI: 1/10/24 several mathematical tasks with school to first This well in model: she/it question with points view, solutions and should them. Not handles with some more complex tasks, deep understanding. Strong side: - methods - Good tasks in equations - perform probability and Limitations: - errors in complex especially in Can computational errors - Not understanding tries use for solutions tasks Model solves mathematical tasks HS/early-on level but not She/It well handles with tasks, but with that require more deep understanding or thinking • Self-reported

model: o3-mini : (0,7) Description: o3-mini with high (0,7) — this abilities and data model o3-mini. high temperature allows model more possible answers, that can be useful for tasks or generation diverse However this can lead to to and accuracy answers by comparison with more temperature • Self-reported

DIAMOND (DIsentangled AMortized ONline Detective) - this for and at work with computations. In difference from many modern approaches, DIAMOND especially efficient in conditions and can process very large computations without performance. Key : 1. training: DIAMOND uses for that allows it quickly problems in 2. analysis: process data and adapt to in time. 3. : DIAMOND and allowing exactly determine problems. 4. : method successfully works with and maintaining at this high accuracy. show, that DIAMOND outperforms existing methods on 17-23% by F1 and works in 30-100 times at analysis systems. was successfully on various machine training and high efficiency in real scenarios use • Self-reported

evaluation on benchmark • Self-reported

evaluation by benchmark • Self-reported

evaluation on test set • Self-reported

evaluation by benchmark • Self-reported

evaluation on benchmark • Self-reported

pass @ 1 • Self-reported

result benchmark • Self-reported

evaluation benchmark • Self-reported

evaluation on benchmark • Self-reported

Evaluation efficiency • Self-reported

o3-mini high model type GPT, answer on questions about world. Good works with information without on tools. Performance Advantages: and answers, for queries. system. Limitations: tools and capabilities for solutions complex tasks, where computation. answers on questions about world, and Example query: "in ?" for • obtaining facts and data • knowledge and queries • • Self-reported

indicator efficiency • Self-reported

indicator efficiency in tests • Self-reported

evaluation by benchmark • Self-reported

evaluation benchmark • Self-reported

evaluation in benchmark • Self-reported

accuracy • Self-reported

percentage score • Self-reported

percentage score • Self-reported

evaluation on benchmark • Self-reported

evaluation on benchmark • Self-reported