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深度|OpenAI 多智能体负责人:许多人正在构建的产品并未真正遵循Scaling Law,最终都会被所取代
Z Potentials· 2025-07-20 02:48
图片来源: Latent Space Noam Brown 是 OpenAI 的多智能体研究负责人,也是 AI 战略谈判系统 Cicero 的开发者,通过 AI 反哺自身训练,成为《 Diplomacy 》世界冠军,并推动 " 测试时计算 " 成为下一代 AI 能力的核心范式。本次访谈中, Alessio 和 SWYX 与 Noam 深入讨论了很多有关多智能体、强化学习和游戏 AI 的话题。 Z Highlights 揭秘 Cicero : Diplomacy 游戏中的 AI 突破与图灵测试挑战 Alessio : 大家好,欢迎来到《 Living in Space 》播客。我是 CIO Decibel 的合伙人 Alessio ,今天我的搭档是小型 AI 公司 SPX 的创始人。 SWYX : 大 家好 ,大家好!今天我们在假期周一录制节目,有幸邀请到 Noam Brown 。欢迎你, Noam !很高兴你终于来了。很多人听说过你,你在 Lex Friedman 播客上分享过你的思考范式,还做过 TED 演讲。但我想你最近最有趣的成就可能是赢得了世界 Diplomacy 冠军赛。 Noam : 是的。 SW ...
从Sam Altman的观点看AI创业机会在哪
Hu Xiu· 2025-06-24 12:22
Group 1 - The core idea is that significant changes in technology create the most opportunities for new companies, as established players may become sluggish and unable to adapt quickly [1][2][8] - AI technology is experiencing qualitative leaps, moving from linear progress to exponential breakthroughs, with concepts like AGI and HI becoming increasingly realistic [3][4][6] - OpenAI serves as a prime example of this shift, having evolved from a seemingly ambitious startup in 2015 to a major player with its GPT series models now serving millions of users daily [5][6][7] Group 2 - During stable periods, market dynamics are fixed, making it difficult for startups to break through due to the resources and brand power of large companies [8][18] - The advent of open-source models and cloud computing allows small teams to achieve what previously required hundreds of people over several years, thus creating new opportunities [10][11] - The entrepreneurial landscape has become more accessible, with tools like GitHub Copilot and Midjourney enabling individuals to accomplish tasks that once required entire teams [13][15][16] Group 3 - Entrepreneurs face uncertainty at the start, and the ability to navigate this uncertainty is crucial for long-term success [17][27] - Sam Altman emphasizes that finding direction amidst chaos is key, and that true innovation often comes from pursuing unique ideas that few believe in [18][25][29] - The concept of the "1% rule" suggests that if only a small number of insightful individuals believe in a project, it has a higher chance of success [25][26] Group 4 - AI is transitioning from a "tool" to an "agent," capable of autonomously executing tasks based on simple commands, fundamentally changing human-computer interaction [33][34][35] - The traditional SaaS model may be nearing its end as AI enables tasks to be completed through conversation rather than through multiple applications [39][42] - The emergence of an "agent economy" suggests that future software platforms may generate custom AI assistants on demand, streamlining processes significantly [43][44][48] Group 5 - The integration of AI with robotics is expected to redefine industries such as manufacturing and logistics, with AI taking on complex physical tasks [49][51][53] - The future of work will see a shift where repetitive tasks are automated, increasing the value of creative roles and enabling small teams to achieve significant outcomes [54][55][56] - The ability to leverage AI effectively will become a critical skill, surpassing traditional knowledge accumulation [56] Group 6 - Building a competitive moat in AI involves understanding user value deeply and continuously exploring uncharted territories rather than just focusing on technology [57][62] - OpenAI's evolution illustrates how initial market uniqueness can develop into a robust brand and user experience through continuous innovation and community engagement [60][66] - Startups should avoid saturated markets and instead pursue unique challenges that have not yet been addressed, which can lead to significant breakthroughs [70][72] Group 7 - The ultimate goal of technological advancement is to create abundance rather than merely increasing company valuations, with AI and energy being key leverage points for future growth [78][80] - Addressing energy consumption is crucial for the sustainable development of AI, as the training of large models requires significant energy resources [80][81] - The relationship between AI and energy is symbiotic, with AI having the potential to drive innovations in energy efficiency and sustainability [81][82]