Stanford ECON295/CS323 I 2024 I A World Without Work, Daniel Susskind

Preparing for an AI Economy (with Daniel Susskind)

GPT-4 - How does it work, and how do I build apps with it? - CS50 Tech Talk

Value Props: Create a Product People Will Actually Buy

Stanford ECON295/CS323 I 2024 I The AI Awakening, Erik Brynjolfsson

«Мир без работы: технологии, автоматизация и как нам следует реагировать» с Дэниелом Сасскиндом

Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)

Growth: A Reckoning – with Daniel Susskind

Andrej Karpathy: Software Is Changing (Again)

The future of the professions: how technology will transform the work of human experts

Geoffrey Hinton reveals the surprising truth about AI’s limits and potential

Stanford Webinar - How AI is Changing Coding and Education, Andrew Ng & Mehran Sahami

Stanford ECON295/CS323 I 2024 I Business of AI, Reid Hoffman

The Race to Harness Quantum Computing's Mind-Bending Power | The Future With Hannah Fry

LLM и GPT - как работают большие языковые модели? Визуальное введение в трансформеры

Geoffrey Hinton in conversation with Fei-Fei Li — Responsible AI development

Stanford Webinar - Agentic AI: A Progression of Language Model Usage

Purpose, Pleasure, and Meaning in a World Without Work (with Nicholas Bostrom) 5/20/24

We desperately need more economic growth, says Daniel Susskind

What Does the AI Boom Really Mean for Humanity? | The Future With Hannah Fry

Lecture Series in AI: “How Could Machines Reach Human-Level Intelligence?” by Yann LeCun