LeCun on True Intelligence from AI

New approaches needed. 

Meta's LeCun: Most of Today's AI Approaches Will Never Lead to True Intelligence  By ZDNet

"We see a lot of claims as to what should we do to push forward towards human-level AI," LeCun says. "And there are ideas which I think are misdirected."

Yann LeCun, chief AI scientist of Meta Properties, owner of Facebook, Instagram, and WhatsApp, is likely to tick off a lot of people in his field.

With the posting in June of a think piece on the Open Review server, LeCun offered a broad overview of an approach he thinks holds promise for achieving human-level intelligence in machines. 

Implied if not articulated in the paper is the contention that most of today's big projects in AI will never be able to reach that human-level goal.

In a discussion this month with ZDNet via Zoom, LeCun made clear that he views with great skepticism many of the most successful avenues of research in deep learning at the moment.

"I think they're necessary but not sufficient," the Turing Award winner told ZDNet of his peers' pursuits.

From ZDNet

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Lopsided Digital Transformation

Look at how automation of digitization can make a big difference.   And we are continuing to move to that. 

Digital Transformation Is Lopsided, Even Within the Same Organization    By ZDNet

A study of organizations in Harvard Business Review found that some corporate departments can be more digitally advanced than their counterparts at another location, or even down the hall. The IT department itself often finds itself on the wrong side of progress.

A Harvard Business Review study of organizations found "a growing divide between teams with ready access to automation and [artificial intelligence (AI)] tools and teams without," with the latter trailing "in terms of productivity and AI skill development."

Accenture's Ramnath Venkataraman and colleagues determined that two-thirds of investigated companies relied on a less-than-optimal blend of cloud-based and on-premises enterprise solutions.

Exacerbating the problem is information technology (IT) departments being mired in maintenance and upkeep, while other departments have access to cutting-edge systems.

The Accenture team also learned that some coders might devote 60% of their time executing automatable tasks.

The researchers suggested greater inter-enterprise collaboration to address these challenges, by de-siloing walled-off departments and encouraging open access to shadow IT systems. ... ' 

From ZDNet