AI and machine learning

Control and communication in animals and machines run on the same principles.

The five schools of machine learning, and the search for one algorithm to unite them.

Why China may match the US in AI now that applying it matters more than research.

The struggle to make machine learning systems do what people actually intend.

How Hinton, LeCun and Bengio kept neural networks alive until deep learning took off.

Why AI and synthetic biology will spread fast and cheaply, and how to contain them.

A reported history of OpenAI and the industry it created.

Sam Altman's life, including his November 2023 firing and return at OpenAI.

The founding of AI research, from interviews with McCarthy, Minsky and others.

AI research from Dartmouth in 1956 to the funding cuts, told by the field's leaders.

Autonomy from the incumbent and Waymo side.

The self-driving contest Tesla bet its valuation on.

The OpenAI-DeepMind race that set the shape of Nvidia's customer base.

The founder scene around OpenAI, reported from inside the funding rounds.

How to work alongside large language models across many kinds of knowledge work.

Predictions of computers passing the human brain and merging with human life.

The textbook on deep learning: how machines learn layered concepts from data.

The rationalists around LessWrong and their fear of artificial intelligence risk.

Subtitled 'Amplifying Our Humanity Through AI'; co-written with GPT-4

Japan's drive to build fifth-generation AI computers, and its stakes for America.