Ernest Davis: Writings for a general audience

Getting GPT to work with external tools is harder than you think by Gary Marcus and Ernest Davis, Substack, October 2023.

Hello, Multimodal Hallucinations by Gary Marcus and Ernest Davis, Substack, October 2023.

Reports of the birth of AGI are greatly exaggerated by Gary Marcus and Ernest Davis, Substack, October 2023.

How Not to Test GPT-3 by Gary Marcus and Ernest Davis, CACM blog, February 2023

Large Language Models like ChatGPT say the Darndest Things by Gary Marcus and Ernest Davis, CACM blog, January 2023.

What does Meta AI’s Diplomacy-winning Cicero Mean for AI? by Gary Marcus and Ernest Davis, Communications of the ACM (Blog), November 2022.

What has surprised me in computer technology. June 2022.

Insights for AI from the Human Mind by Gary Marcus and Ernest Davis, Communications of the ACM, January 2021.

GPT-3, Bloviator: OpenAI's language generator has no idea what it's talking about. by Gary Marcus and Ernest Davis, Technology Review, August 22, 2020. Associated collection of test results.

Are Neural Networks About to Reinvent Physics? by Gary Marcus and Ernest Davis, Nautilus, November 21, 2019.

Q&A on the Book Rebooting AI by Gary Marcus and Ernest Davis, InfoQ, November 21, 2019.

AI's hardest problem? Developing common sense. by Gary Marcus and Ernest Davis, LinkedIn, October 4, 2019.

Six questions to ask yourself when reading about AI, by Gary Marcus and Ernest Davis, Quartz, September 12, 2019.

If Computers Are So Smart, How Come They Can't Read? by Gary Marcus and Ernest Davis, WIRED, September 10, 2019.

How To Build Artificial Intelligence We Can Trust, by Gary Marcus and Ernest Davis, New York Times, September 6, 2019.

No, A.I. Won't Solve the Fake News Problem by Gary Marcus and Ernest Davis, New York Times, October 2018.

A.I. is harder than you think, by Gary Marcus and Ernest Davis, New York Times May 2017.

Lousy Advice to the Lovelorn, Communications of the ACM, December 2017.

In Praise of Globes Guest blog in Cathy O'Neil's mathbabe blog, Mar. 23, 2017.

Managing Big Data's big risks Project Syndicate, Feb. 2017

How to Write Science Questions that are Easy for People and Hard for Computers, AI Magazine Spring 2016. Article in the magazine

Math and the Caveman Imagination. Guest blog in Cathy O'Neil's mathbabe blog, Nov. 30, 2015.

Introduction In E. Davis and P. Davis (eds.) Mathematics, Substance and Surmise: Views on the Meaning and Ontology of Mathematics, Springer, 2015.

How Should Robots Think about Space? In E. Davis and P. Davis (eds.) Mathematics, Substance and Surmise: Views on the Meaning and Ontology of Mathematics, Springer, 2015.

Commonsense Reasoning and Commonsense Knowledge in Artificial Intelligence by Ernest Davis and Gary Marcus. CACM, September 2015, 58:9, 92-105. PDF.   Word

Contempt for conservatism, religion, and history among social scientists. Guest blog, in Lee Jussim's blog, "Rabble Rouser,"Psychology Today, November 3, 2014. Paper in PDF.

Do We Really Need to Learn to Code? by Gary Marcus and Ernest Davis, online New Yorker, June 7, 2014.

Eight (No, Nine!) Problems with Big Data by Gary Marcus and Ernest Davis, Op-Ed, New York Times, April 7, 2014.

The Rise of Artificial Intelligence Off Book, PBS Digital Studios. Produced by Lisa Romagnoli and Eric Brown. July 2013.

A Grand Unified Theory of Everything by Gary Marcus and Ernest Davis, New Yorker, May 6, 2013

Maths is the True Language of Science by Gary Marcus and Ernest Davis, Financial Times, April 13, 2013

The Singularity and the State of the Art in Artificial Intelligence, ACM Ubiquity, October 2014.

Expand Minds, Not the NYU Campus Op-Ed, NY Times, April 26, 2012 by Ernest Davis, Patrick Deer, and Mark Crispin Miller