""They're cognitively lacking and it's just not working. It will take about a decade to work through all of those issues," Karpathy said, in an episode of the Dwarkesh Podcast."
""They just don't work. They don't have enough intelligence, they're not multimodal enough, they can't do computer use and all this stuff," he added. "They don't have continual learning. You can't just tell them something and they'll remember it.""
""I want it to make fewer assumptions and ask/collaborate with me when not sure about something. I want to learn along the way and become better as a programmer, not just get served mountains of code that I'm told works.""
AI agents operate as virtual assistants that autonomously perform workplace tasks such as customer service, IT support, and administrative work. Current agents lack cognitive depth, multimodal capabilities, robust computer use skills, and continual learning that allows them to remember new information. Practical deployments require human guidance and oversight, making agents more like interns or collaborators than replacement workers. Many technology teams are scaling back automation plans as limitations persist. Workers can use agents to learn and improve skills, while relying on human judgment to verify outputs and handle complex tasks.
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