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SmartGPT: Major Benchmark Broken - 89.0% on MMLU + Exam's Many Errors episode artwork

Oct 30, 2026 34 min

SmartGPT: Major Benchmark Broken - 89.0% on MMLU + Exam's Many Errors

from AI Explained Hosted by AI Explained

Has GPT4, using a SmartGPT system, broken a major benchmark, the MMLU, in more ways than one? 89.0% is an unofficial record, but do we urgently need a new, authoritative benchmark, especially in the light of today's insider info of 5x compute for Gemini than for GPT 5?Learn all about the power of exemplars, self-consistency and how you can tangibly benefit in real world examples. You'll learn more about everything from cutting edge benchmarking to AGI forecasting. https://www.patreon.com/AIExplainedOriginal SmartGPT Video: https://www.youtube.com/watch?v=wVzuvf9D9BU&list=PPSVMMLU: https://arxiv.org/pdf/2009.03300.pdfGemini 5x GPT 4, Semianalysis: https://www.semianalysis.com/p/google-gemini-eats-the-world-geminiWizardCoder Overfitting? https://twitter.com/Shahules786/status/1695493641610133600Let’s Do a Thought Experiment: https://arxiv.org/pdf/2306.14308.pdfLegalBench: https://arxiv.org/pdf/2308.11462.pdfSciBench: https://arxiv.org/pdf/2307.10635.pdfAGIEval: https://arxiv.org/pdf/2304.06364.pdfMMLU Grading Issues: https://huggingface.co/blog/evaluating-mmlu-leaderboardOxford University Press Question Example: https://global.oup.com/uk/orc/chemistry/chechik/student/mcqs/ch04/Fall 2011 Epidemiology Example: https://www.docsity.com/en/final-exam-fall-2011-4/8308030/HellaSwag: https://arxiv.org/pdf/1905.07830.pdfGPT 4 Technical Report: https://arxiv.org/pdf/2303.08774.pdfMinerva, Solving Quantitative Reasoning: https://arxiv.org/pdf/2206.14858.pdfOriginal Scratchpads Paper: https://arxiv.org/pdf/2112.00114.pdfIs ChatGPT Behaviour Changing Over Time? https://arxiv.org/pdf/2307.09009.pdfPaul Christiano: https://www.lesswrong.com/posts/fRSj2W4Fjje8rQWm9/thoughts-on-sharing-information-about-language-modelMetaculus Forecasting: https://www.metaculus.com/ai/ https://www.lesswrong.com/posts/SdkexhiynayG2sQCC/ai-forecasting-two-years-inMIT Paper: https://twitter.com/jeremyphoward/status/1669588857149612033?lang=en-GBSnowballing Hallucinations: https://arxiv.org/pdf/2305.13534.pdfSelf Consistency: https://arxiv.org/pdf/2203.11171.pdfOpenLLM Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboardNHS Question from ‘Extended Matching Questions’ Graph of Thoughts: https://arxiv.org/pdf/2308.09687.pdfDario Amodei Interview – Dwarkesh Patel: https://www.youtube.com/watch?v=Nlkk3glap_UGitHub Answers: https://github.com/Joshua-Stapleton/smartgpt-answersJoshua Stapleton is a Machine Learning Engineer who has worked in the healthcare and defence sectors. He recently pivoted into AI capabilities and safety, with a concentration on LLMs. He now works as a research engineer, consults on the applications of AI across various industries, and is pursuing his Masters in Machine Learning and Data Science at Imperial College London. Feel free to reach out to Josh via his email, [email protected], or check out his new Patreon: https://patreon.com/JoshuaStapleton.AI Explained Community: https://discord.gg/[email protected]://www.patreon.com/AIExplained Non-Hype, Free Newsletter: https://signaltonoise.beehiiv.com/

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SmartGPT: Major Benchmark Broken - 89.0% on MMLU + Exam's Many Errors

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