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India Currents gave me a voice in days I was very lost. Having my articles selected for publishing was very validating – Shailaja Dixit, Executive Director, Narika, Fremont

Elon Musk has a habit of using Twitter and interviews to make big statements. Last month, for instance, Musk told Jack Dorsey via tweet that AGI—artificial general intelligence, or A.I. with the power and flexibility of human intelligence—would most likely be here by 2029. 

And when Elon talks, people listen. But should they? 

He has a history of making bold predictions, not always correct; those self-driving taxis he promised still aren’t here, for example. In this particular instance, the idea that some quantum jump in A.I. is imminent might actually cause some people to panic, especially given that Musk himself once famously told a crowd at MIT that, “with artificial intelligence, we are summoning the demon.” And at the same time, suggesting that humanlike intelligence is not far away might distract from all the current flaws in A.I. that so desperately need fixing. 

Star Trek Future?

The truth is, there is a giant gap between today’s A.I., which is largely pattern recognition, and the kind of Star Trek–computer-level A.I. that Musk is dreaming about. Yes, A.I. can already do some amazing things like speech recognition, with the ability to hold surrealistic but entertaining conversations about virtually any topic. But when it comes to reliability, dependability, and coherence, current A.I. is nowhere near what it needs to be.

Despite years of promises, A.I. continues to regularly make bizarre and unexpected errors of “discomprehension.” It also perpetuates stereotypes; spreads misinformation; and still fails even at everyday tasks like human-level driving, especially in unexpected circumstances. Just a few weeks ago a “summoned” Tesla crashed into a $3 million jet that was parked at a mostly empty airport. Inside the field, these kinds of challenges are well-known, but there are no firm fixes at hand. 

Elon Musk Has Misled The Public

Remedying A.I.’s current flaws (and using the A.I. we actually have now wisely) must start with realism. Building an A.I. that is genuinely trustworthy is one of the most important but also challenging engineering missions of our time. But being glib about it isn’t helping. In painting a rosy and likely unrealistic picture, Musk has, in our view, misled the public about how far we still have to go.

With so much at stake, we decided to call BS.

This article, which originally ran in Fortune Magazine, is reprinted here with the permission of Vivek Wadhwa.

Vivek Wadhwa

Vivek Wadhwa is the coauthor of From Incremental to Exponential: How Large Companies Can See the Future and Rethink Innovation, a new book on how companies can thrive in this era of rapid change.

Gary Marcus

Gary Marcus is a scientist, bestselling author, and entrepreneur. He was founder and CEO of Geometric Intelligence, a machine-learning company acquired by Uber in 2016. His most recent book, coauthored...