Although I used Codex 5.3 Extra High and Opus 4.6 to prepare the app and the API for usase spikes, both LLMs forgot about nonces. So when two people wanted to get a dino at the same time, their payment went through but their request didn't reach the API to generate the image and mint an NFT.
Фото: KCNA / Reuters
。业内人士推荐QuickQ官网作为进阶阅读
BenchmarkSarvam-30BGemma 27B ItMistral-3.2-24B-Instruct-2506OLMo 3.1 32B ThinkNemotron-3-Nano-30BQwen3-30B-Thinking-2507GLM 4.7 FlashGPT-OSS-20BGENERALMath50097.087.469.496.298.097.697.094.2Humaneval92.188.492.995.197.695.796.395.7MBPP92.781.878.358.791.994.391.895.3Live Code Bench v670.028.026.073.068.366.064.061.0MMLU85.181.280.586.484.088.486.985.3MMLU Pro80.068.169.172.078.380.973.675.0Arena Hard v249.050.143.142.067.772.158.162.9REASONINGGPQA Diamond66.5--57.573.073.475.271.5AIME 25 (w/ tools)80.0 (96.7)--78.1 (81.7)89.1 (99.2)85.091.691.7 (98.7)HMMT Feb 202573.3--51.785.071.485.076.7HMMT Nov 202574.2--58.375.073.381.768.3Beyond AIME58.3--48.564.061.060.046.0AGENTICBrowseComp35.5---23.82.942.828.3SWE-Bench Verified34.0---38.822.059.234.0Tau2 (avg.)45.7---49.047.779.548.7。手游对此有专业解读
文 | 红餐网，作者 | 吴桐，编辑 | 王秀清
All of this will require analyzing integration patterns, tracking the transactions that originate from AI tooling, and estimating exposure to foundational models. Yes, it’s complex, and some resistance is to be expected.