Missives from Cannes: Three Observations on Gen AI Application

Enthusiasm abounded at the World AI Cannes Festival

La Croisette de Cannes dans les années 1930

By now, we’re well-accustomed to waves of tech-based fervor. You don’t really have to touch the industry to have become a cynic. Perhaps you remember “peak blockchain” in 2019, when the technology was integrated into a toothbrush for reasons that no-one will ever begin to understand?

And of course, we’ve endured fanfare and furor over the metaverse, XR, Big Data, crypto, Web3, NFTs, quantum computing and, most notably, we’ve seen AI grow legitimate roots as the defining technology of its era (while its name continues to be frequently used and abused by sneaky bandwagon jumpers…).  

On those firm foundations, generative AI is the term at the center current hype-cycle. In Cannes last week a reported 16,000 attendees swarmed on the famed Palais des Festivals et Des Congrès to learn about it, talk about it, and – for many – showcase the tentative steps they’ve taken towards real-world application.

As with previous seasons, there was an urgency (perhaps even a whiff of desperation…?) in the air as companies from industries as diverse as hospitality, finance, entertainment, marketing, and pharma joined this latest gold rush as hopefuls. And, unsurprisingly, both snake oil and substance could be found.

I was lucky enough to host the festival’s Applications Stage, and here are three broad-brush observations I made:

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Raising Baby AI in 2024

Davos 2024 convened a panel of experts to terrify and reassure us in equal measure

Image created by Dall-E 2

You’d have to be living under a rock to entirely swerve the avalanche of AI predictions for 2024. They typically fall into three camps – extreme AI optimism, extreme AI pessimism, and a sort of vanilla-flavored corporate edition whereby the author safely predicts things that are already happening.

Much more interesting was a meeting at Davos 2024 yesterday, where a panel of undisputed AI silverbacks gathered to discuss the trajectory of AI’s sexiest zeitgeist – large language models (LLMs).

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