The evolution of AI agents over the next decade is expected to be transformative, moving past current limitations such as continual learning, although achieving true Artificial General Intelligence (AGI) is estimated to take approximately a decade (circa 2035).Andrej Karpathy describes this period as the decade of agents, suggesting that while early agents (like Claude and Codex) are impressive, significant work remains to be done to make them function reliably as an employee or intern.I have this older (actually veery old) related video about Andrej Karpathy:Ep. 21: AI Discusses Andrej Karpathy's Twitterhttps://youtu.be/yGBqnHTK0cMAddressing Continual Learning and Memory LimitationsOne of the most critical current limitations highlighted is the lack of continual learning. Current LLMs typically restart from scratch in each session, as they lack the ability to assimilate long-term information efficiently into their core structure.#andrejkarpathy #artificialintelligence #agi #ai #claude #chatgpt ___What do you think?PS, make sure to follow my:Main channel: https://www.youtube.com/@swetlanaAIMusic channel: https://www.youtube.com/@Swetlana-AI-Music Hosted on Acast. See acast.com/privacy for more information.

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