Computer-aided design (CAD) systems are tried-and-true tools used to design many of the physical objects we use each day. But CAD software requires extensive expertise to master, and many tools incorporate such a high level of detail they don’t lend themselves to brainstorming or rapid prototyping. In an effort to make design faster and more…
In this article, you will learn a clear, practical roadmap for mastering agentic AI: what it is, why it matters, and exactly how to build, deploy, and showcase real systems in 2026. Topics we will cover include: Core foundations in mathematics, programming, and machine learning. Concepts and architectures behind autonomous, tool-using AI agents. Deployment, specialization…
The Contrarian View: AI Is Overhyped and Incremental at Best A common contrarian argument is that AI, while impressive, does not fundamentally change how businesses compete. From this perspective, AI is simply another productivity tool, similar to spreadsheets, ERP systems, or cloud computing. Useful, yes, but not transformative. Supporters of this view argue that most…
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a wide margin on complex tasks. Try playing Sudoku with one, for instance, where you fill in numbers one through nine in such…
In this article, you will learn how to turn free-form large language model (LLM) text into reliable, schema-validated Python objects with Pydantic. Topics we will cover include: Designing robust Pydantic models (including custom validators and nested schemas). Parsing “messy” LLM outputs safely and surfacing precise validation errors. Integrating validation with OpenAI, LangChain, and LlamaIndex plus…
TL;DR AI can preserve your memories, personality, and voice, allowing future generations to interact with a digital version of you long after you are gone. Immortality has always sounded like mythology, but AI is quietly turning it into a technical possibility. Every message we send, every photo we take, every recording we make becomes raw…
Two current MIT affiliates and seven additional alumni are among those named to the 2025 cohort of AI2050 Fellows. Zongyi Li, a postdoc in the MIT Computer Science and Artificial Intelligence Lab, and Tess Smidt ’12, an associate professor of electrical engineering and computer science (EECS), were both named as AI2050 Early Career Fellows. Seven…
In this article, you will learn practical prompt-engineering patterns that make large language models useful and reliable for time series analysis and forecasting. Topics we will cover include: How to frame temporal context and extract useful signals How to combine LLM reasoning with classical statistical models How to structure data and prompts for forecasting, anomalies,…
They dangle the dream of passive income with bold claims like “quit your job in 30 days” or “start making $10k/month from your phone.” What they don’t show is the reality: real digital marketing is work. It takes experimentation, continuous learning, and a foundation in real business needs. A common tactic is the “live strategy…
Generative AI and robotics are moving us ever closer to the day when we can ask for an object and have it created within a few minutes. In fact, MIT researchers have developed a speech-to-reality system, an AI-driven workflow that allows them to provide input to a robotic arm and “speak objects into existence,” creating…