Summary of Have We Reached Agi? Comparing Chatgpt, Claude, and Gemini to Human Literacy and Education Benchmarks, by Mfon Akpan
Have We Reached AGI? Comparing ChatGPT, Claude, and Gemini to Human Literacy and Education Benchmarks
by Mfon Akpan
First submitted to arxiv on: 11 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Machine Learning (cs.LG)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper investigates the proximity of large language models (LLMs) to Artificial General Intelligence (AGI) by comparing their performance on educational benchmarks with Americans’ average educational attainment and literacy levels. The study uses data from the U.S. Census Bureau and technical reports, revealing that LLMs significantly outperform human benchmarks in tasks such as undergraduate knowledge and advanced reading comprehension. While this indicates substantial progress toward AGI, true AGI requires broader cognitive assessments. The paper highlights the implications for AI development, education, and societal impact, emphasizing the need for ongoing research and ethical considerations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The study looks at how well big language models do on educational tests compared to what Americans can do in real life. It finds that these models are really good at things like reading and understanding college-level material, but they still have a long way to go before they’re as smart as humans. The paper says this is important because it affects the future of artificial intelligence, education, and how AI affects society. |
