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Greg Brockman: AGI, Sora 2, Bottlenecks, White Collar, Proactive AI, and more!
Matthew Berman· 2025-10-08 18:48
AI Trends & Future Predictions - Discussion on scaling Sora, indicating the industry's focus on improving AI model capabilities [1] - Exploration of transformer models' future relevance in AI development [1] - Consideration of proactive AI and compressing intelligence as key areas of advancement [1] - Speculation on the potential of fully generated software and its implications [1] - Examination of Agentic Commerce Protocol, suggesting a move towards AI-driven commercial interactions [1] - Predictions for 2026, including the possibility of Artificial General Intelligence (AGI) [1] Technology & Infrastructure - Analysis of building with AMD and other kinds of compute, highlighting the importance of hardware infrastructure [1] - Identification of bottlenecks in AI development, suggesting areas needing improvement [1] - Discussion on decoupling of the internet, potentially related to data sovereignty or decentralized technologies [1] Job Market & Industry Impact - Addressing concerns about job security in the face of AI advancements [1] - Exploration of building on top of OpenAI, indicating the platform's significance in the AI ecosystem [1] - Consideration of the role of humans in the loop, emphasizing the importance of human-AI collaboration [1]
Use of Transformer Models in Teaching | Robert Gentleman | TEDxBerkshires
TEDx Talks· 2025-07-21 16:15
AI在教育领域的潜力 - AI工具能够支持教育工作者,提供课程计划,生成问答,并自动评分和反馈,从而减轻教师的工作负担,使他们能够专注于更重要的任务 [1] - AI可以检查课程是否涵盖了所有预定的主题,确保教学内容的完整性 [1] - AI能够为学生提供独立于教师的界面和学习方式,从而改变课堂中的权力平衡,促进学生更深入地探究问题 [1] - AI可以被设计成具有不同的角色,例如气候怀疑论者、统计学家或流行病学家,从而为学生提供多角度的思考 [2] - AI可以通过半自主代理在Zoom通话中进行对话,分析输入信息并提供评论,从而改变学生与AI的互动方式 [3][4][5] AI的局限性与监管 - AI可能会给出基于不准确信息的权威性答案,需要评估其准确性,以避免在课堂上产生反效果 [7][8] - AI需要像教师一样受到监管,包括标准化考试和持续认证,以确保其在不同环境中的表现 [11][12] - AI系统需要快速报告不良事件,以便及时发现问题并进行修复,从而确保其安全性和有效性 [14][15] AI在主动学习中的应用 - AI辅导可以优于主动学习,因为它可以提供有针对性的反馈和信息,并允许学生进行自我调节 [21][26] - AI工具可以帮助学生提出更难或更容易的问题,并在他们遇到困难时提供帮助,从而实现个性化学习 [27] - AI可以促进终身学习体验,例如理解医疗保险和医疗补助法律和表格,并帮助人们填写表格 [30] AI与多样性 - AI可以通过设计具有类人多样性的聊天机器人,在缺乏自然多样性的情况下引入不同的观点 [32] AI的部署与改进 - AI的部署应遵循“部署、评估、改进”的循环,通过不断试验和改进,使其能够更好地服务于教育 [32][33] - 行业需要克服对AI的抵触情绪,并参与到AI的推广中,同时建立监管和报告机制,以确保AI的合理使用 [33]