AI Capabilities Part 2 Timestamps: AP Exams & Strategic Thinking Chapters
[0:00] AI Performance on Advanced Placement Exams Analyzes a graph showing GPT-3.5, GPT-4 without vision, and GPT-4 with vision performance on various AP exams, highlighting high scores near 100% in subjects like verbal and uniform bar exam. [2:00] Strategic Planning and App Building Discusses AI's ability to plan and strategize, using an example of building an app that generates bullet summaries of essays with GPT-3, showing stepwise instructions. [4:00] Real-World Chatbot and Company Simulation Explores AI acting on instructions in real-world scenarios like house hunting and setting up a company using only ChatGPT agents (Chad Dev), demonstrating multi-agent decision-making. [6:00] Knowledge Limitations and Timestamps Highlights AI knowledge cutoffs (September 2021 and January 2022) through queries about college principals and institute directors, emphasizing the need for verification and model version differences. [8:00] Practical Uses: Email Drafting and Code Refactoring Shows AI applications in drafting formal emails, shortening responses, and refactoring code, with examples of student use and ethical considerations like avoiding plagiarism. [10:00] Code Generation and Math Problem Solving Demonstrates AI converting natural language to code via Codex (powering GitHub Copilot) and solving math problems, including variance calculations and proofs, with Python as the most capable language. [12:00] Advanced AI: Algorithm Discovery and Protein Folding Covers AlphaTensor for discovering new matrix multiplication algorithms and AlphaFold 2/3 for predicting protein structures with high accuracy (90%+), showcasing AI penetration into scientific domains. [15:00] AI Models and Compute Trends Lists various AI models (Bard, Llama, Bing Chat, Copilot) and shows graphs of training compute growth and AI test scores surpassing human performance in handwriting, speech, image recognition, and reading comprehension. [17:30] Activity: Optimal Human-AI Collaboration Introduces an activity asking students to imagine optimal collaboration between AI and humans across sectors, discussing innovations, challenges, and risks, with submissions via mailing list.
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