Business
fromFast Company
1 hour agoThis is the biggest risk a company can take in the age of AI
Organizations that continue transformation during uncertainty outperform those that slow down, treating turbulence as an opportunity for growth.
"People tend to immediately think of neurons when they think about how the brain works. But we're finding that astrocytes, what we used to think of as just secondary support cells, are also participating in how our brains regulate how much we eat."
Qi Sun's DrayEasy platform exemplifies a significant advancement in logistics, merging quoting, booking, and real-time tracking into a seamless automated experience for shippers.
Meta is working on two proprietary frontier models: Avocado, a large language model, and Mango, a multimedia file generator. The open-source variants are expected to be made available at a later date.
I am a worrier, and have been for most of my life. At some point, someone dear and smart teased me that I worry about the wrong things. The things that hit me, she noted, were never the things I worried about. For a while that left me feeling like an incompetent worrier-until my research caught up. I realized that the things I worry about often don't end up hurting me precisely because worrying helps me diffuse them ahead of time.
For the past three years, the conversation around artificial intelligence has been dominated by a single, anxious question: What will be left for us to do? As large language models began writing code, drafting legal briefs, and composing poetry, the prevailing assumption was that human cognitive labor was being commoditized. We braced for a world where thinking was outsourced to the cloud, rendering our hard-won mental skills, writing, logic, and structural reasoning relics of a pre-automated past.