Can ChatGPT plan your retirement? // TRAIN BRAIN

Can ChatGPT plan your retirement?

MIT Economist Andrew W. Lo addresses ChatGPT's viability as a financial advisor, and his efforts to make sound financial advice more affordable.

MIT OpenCourseWare

A free and open online publication of educational material from thousands of MIT courses, covering the entire MIT curriculum, ranging from introductory to the most advanced graduate courses. On the OCW website, each course includes a syllabus, instruction...

Class 15 Video: Encoding Corpora and Voice Leading

Video 7b: Streams as Hierarchies: Types of Containers in music21

Video 6b: Representations of Ontologies: Craig Sapp’s Rosetta Stone

Video 22b: Problem Sets 7-8: Working and Composing with Scales, Chords, and Roman Numerals

Video 7a: Unlocking Duration and Note Objects in music21

Video 12d: How to Work with Ties in music21

Video 6a: Music Representation (III): Unlocking Pitch in music21

Class 27 Video: Feature Extraction and Machine Learning

Video 4b: Music Representation in General

Video 7d: Partwise vs. Timewise Polyphonic Representations

Video 12a: Painting Emotions in Music and Text

Video 32a: Tipping the Iceberg

Video 7c: music21 Streams, Corpus, and Meter Features

Video 12c: Graphing and Plotting in music21

Video 3a: Introduction to Pitch Representation

AI + Open Education Initiative: AI Literacies and Evaluation

AI + Open Education Initiative: Professional Education and the Judicious Use of AI

Video 9: All There Is to Unlearn - MIT Innovation Teams

Video 5: Prototype Problems Not Products - MIT Innovation Teams

Video 1: Congratulations, You Are a Terrible Robot - MIT Innovation Teams

Video 3: Technology Isn’t What You Think It Is - MIT Innovation Teams

Introduction: How to Move Technologies from Lab to Impact - MIT Innovation Teams

Video 2: All Great Ideas Start Out Bad - MIT Innovation Teams

Video 7: Lessons From a Real Garage - MIT Innovation Teams

Video 10: Go Combinatorial - MIT Innovation Teams

Video 6: Don’t Start Small, Start With What You Have - MIT Innovation Teams

Video 4: Problems Are Not Catastrophes - MIT Innovation Teams

Video 8: Are You Sure That’s a Risk? - MIT Innovation Teams

07. EdTech Before the Internet

09. Massive Open Online Courses (MOOCs)

10. Intelligent Tutors

14. Learning Games

16. Start-Up and the Curse of the Familiar

20. The Toxic Power of Data and Experiment

12. Interest-Driven Learning

03. How People Learn: Situated Learning

02. How People Learn: Cognitive Load Theory

18. Trap of Routine Assessment

Lecture 9: Strategy, Skill, and Chance, Part 2

Lecture 12: Knowing Your Players

Lecture 2: Iterative Design

Do the Rich Deserve Their Wealth? Exploring the Case for Luck Insurance

Lecture 11: Graphs and Coloring

Lecture 1: Predicates, Sets, and Proofs

Lecture 13: Connectivity and Trees

Lecture 2: Contradiction and Induction

Lecture 24: Large Deviations: Chebyshev and Chernov Bound, Wrap Up

Lecture 15: Relations and Counting

Lecture 17: More Counting Techniques

Lecture 10: Cryptography

Lecture 8: Divisibility

Lecture 5: Sums

Lecture 18: Probability

Lecture 22: Expectation

Lecture 21: Random Variables

Lecture 14: Digraphs and DAGs

2026 OE Global Conference Save the Date Announcement

“Why so many cereals?" - The economics of competition

Day 2: Translating Healthcare Research into Healthcare Entrepreneurship

Day 1: Prapela Case Study

Why Finance is crucial to cancer drug development

Lec 5: Production Theory

Finance for public good

Navigating OER Space: MIT Libraries Open Educational Resources Guide

Can ChatGPT plan your retirement?

Can ChatGPT plan your retirement?

Lec 16: Input Markets II—Labor and Capital

Lec 3: Budget Constraints and Constrained Choice

Lec 4: Demand Curves and Income/Substitution Effects

Lec 7: Competition I

Lec 23: Government Redistribution and Taxation

Lec 12: Monopoly II

Lec 19: International Trade: Welfare and Policy

Lec 25: Behavioral Economics

Lec 22: Efficiency and Equity

Lec 18: Introduction to Trade

Lec 11: Monopoly I

Lec 8: Competition II

Lec 5: Production Theory

Lec 17: Making Choices over Time