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Agriculture is ready for AI, but its data isn’t

Agriculture is ready for AI, but its data isn’t

Artificial intelligence is transforming what is possible in agriculture, but industry leaders should be wary of investing in AI without first laying the groundwork.  The use cases are promising, especially for an industry navigating volatile fertilizer costs, unpredictable weather, and margins...

Building tech in the world’s secret R&D hub

Building tech in the world’s secret R&D hub

Apple. Anthropic. Disney Research. Google. Meta. Microsoft. NVIDIA. OpenAI. Few places outside Silicon Valley can claim R&D hubs from all of these companies. Fewer still are concentrated in a city of just over 400,000 people—roughly half the size of San Francisco. Over the past two decades,...

AI agents are not your “coworkers”

AI agents are not your “coworkers”

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Imagine coming in to work to learn that a new underling will report to you. The worker is not a person but an AI tool—one that your company nonetheless calls...

Agent confidence on the technical frontier

Agent confidence on the technical frontier

Enterprise investment in AI is booming. Gartner is calling 2026 an “inflection year” for organizations to align their AI projects with strategic business objectives. As the pressure to prove ROI mounts, executives and technology leaders are looking to agentic AI to drive the measurable financial...

The Download: metric weaknesses and AI elephant warnings

The Download: metric weaknesses and AI elephant warnings

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The inevitable weakness of metrics There are plenty of useful things a metric can reveal. There are even more that it can obscure or corrupt. Like a...

JaiLIP - L'image piégée qui débride les IA qui voient

JaiLIP - L'image piégée qui débride les IA qui voient

Md Jueal Mia et Hadi Amini, deux chercheurs de Florida International University , ont mis au point une méthode qu'ils ont baptisée JaiLIP qui permet de forger une image capable de contourner les garde-fous des LLM pour les jailbreaker. Pour cela, ils utilisent 2 techniques en simultanée. La...