
VivaTech Had a Lot of Big AI Voices. I'm Still Not Sure What They Actually Said.
Paris hosted a parade of AI heavyweights last week. Some of it was interesting. Some of it was the usual conference fog.
Crédito da imagem: Image via Bloomberg — Technology. Used under fair use for news commentary. · source
You know how it is when someone shows you a brand-new cobot and spends twenty minutes telling you about the vision, the philosophy, the transformative potential, and then you ask what payload it handles and they go quiet? That's sort of what watching the VivaTech x Bloomberg Awards coverage felt like this week.
Bloomberg ran a string of panel discussions out of Paris on June 18th, pulling in some genuinely heavyweight names. Yann LeCun, who's now at AMI Labs, was there alongside Austrian programmer Peter Steinberger and Writer CEO May Habib, all talking AI deployment with Bloomberg's Francine Lacqua and Tom Mackenzie. Alibaba's chairman Joe Tsai showed up with General Catalyst's Jeannette zu Furstenberg to talk investment. Tim Berners-Lee, the man who literally invented the World Wide Web, gave his take on where AI is heading. Ukraine's Deputy Minister of Digital Transformation, Nataliia Denikeieva, talked about building AI for actual citizens in an actual warzone, which was probably the most grounded conversation of the lot.
I'll be honest, I watched most of this expecting to be annoyed, and I was only about half annoyed. That's progress.
LeCun is always worth listening to, even when you disagree with him. He's been consistent about his skepticism of large language models as a path to anything resembling general intelligence, and he hasn't softened that position just because the rest of the industry is drunk on transformer architectures. Whether AMI Labs can actually build what he's describing is another question entirely, and it remains unclear how much of their approach is genuinely differentiated versus well-packaged research ambition. I've seen that movie before. When I was at Kuka, we had a front-row seat to a dozen companies promising the next leap in machine learning for motion planning. Most of them were acquired or dissolved inside five years.
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