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OpenAI两位首席最新采访信息量好大,终极目标是“自动化研究员”,招人并非寻找“最出圈”的人
3 6 Ke· 2025-09-26 12:15
Core Insights - OpenAI's leadership discussed the advancements and future direction of GPT-5, emphasizing its role in mainstreaming reasoning capabilities and agentic behavior [6][7][9] - The company aims to develop an automated researcher that can discover new ideas and contribute to scientific progress [13][25] - OpenAI's research philosophy prioritizes foundational research over short-term product competition, focusing on long-term goals [25][28] Group 1: GPT-5 and Reasoning - GPT-5 represents a strategic shift towards integrating reasoning capabilities into mainstream applications, moving beyond previous models that focused on immediate responses [6][7] - The evaluation metrics used in the past are nearing saturation, prompting OpenAI to seek new ways to assess models based on their ability to discover new information and achieve practical advancements in economically relevant areas [8][9] Group 2: Automated Researcher Goal - OpenAI's long-term objective is to create an automated researcher capable of independently generating new ideas, starting with internal research automation before expanding to other scientific fields [13][25] - The current reasoning capabilities of models have reached a level where they can perform complex tasks in a significantly reduced timeframe, with ongoing efforts to extend this capability [13][14] Group 3: Reinforcement Learning (RL) - OpenAI's reinforcement learning approach remains robust, with ongoing developments expected to simplify reward models and enhance their alignment with human learning processes [16][17] - The company emphasizes the importance of flexibility in understanding RL, as the tools and methodologies continue to evolve rapidly [17] Group 4: Programming and Coding - The introduction of GPT-5-codex aims to optimize programming tasks, addressing previous inefficiencies in how models handled problem-solving [18][19] - The evolution of coding practices is shifting towards "vibe coding," where intuition plays a significant role, reflecting a generational change in how programming is approached [21][22] Group 5: Talent Acquisition and Research Culture - OpenAI seeks individuals with perseverance and a solid technical foundation, rather than those who are merely prominent in social media or have flashy accomplishments [22][24] - The company fosters a culture that values foundational research and encourages researchers to explore significant long-term questions without being distracted by immediate market pressures [25][28] Group 6: Resource Allocation - When considering resource allocation, OpenAI's leadership indicated that additional resources would be directed towards computational power, highlighting its critical role in research and development [26][27] - The company acknowledges the ongoing challenges posed by computational limitations, which continue to influence the balance between product development and research initiatives [27][28]
OpenAI两位首席最新采访信息量好大!终极目标是“自动化研究员”,招人并非寻找“最出圈”的人
量子位· 2025-09-26 04:56
Core Insights - OpenAI's latest interview reveals significant advancements in GPT-5, focusing on long-term reasoning and the introduction of agentic behavior into mainstream applications [1][7][9] - The company emphasizes the importance of protecting foundational research while avoiding distractions from short-term product competition [6][48] Group 1: GPT-5 Developments - GPT-5 aims to mainstream reasoning capabilities, moving beyond previous models that focused on immediate responses [8][10] - The model represents a strategic shift towards enhancing reasoning and agentic behaviors, making it more accessible to users [9][10] Group 2: Evaluation and Progress - Current evaluation metrics are nearing saturation, necessitating new methods to assess models' abilities to discover new insights and achieve practical advancements in economically relevant areas [12][13] - OpenAI plans to focus on the time span in which models can reason and make progress, with current capabilities reaching approximately 1 to 5 hours [23][25] Group 3: Automation and Research Goals - OpenAI's long-term goal is to develop an automated researcher capable of discovering new ideas, starting with internal research automation [20][21] - The company is interested in measuring the duration of autonomous operation as a key evaluation metric [25] Group 4: Reinforcement Learning (RL) - Despite skepticism, reinforcement learning continues to thrive, with OpenAI exploring new directions and ideas [27][29] - The evolution of reward models is expected to accelerate, simplifying the process of developing effective fine-tuning datasets [29][30] Group 5: Programming and Coding - OpenAI's GPT-5-codex is designed to optimize programming tasks, addressing previous models' inefficiencies in problem-solving time allocation [32][34] - The current state of coding tools is likened to the "uncanny valley," where they are effective but not yet fully comparable to human performance [37][41] Group 6: Talent Acquisition and Research Culture - OpenAI prioritizes persistence and the ability to learn from failure in its research culture, seeking individuals with a solid technical foundation [44][46] - The company focuses on foundational research rather than merely following competitors, fostering an innovative environment [46][48] Group 7: Resource Allocation - If given additional resources, OpenAI would prioritize computational power, recognizing its critical role in research and development [49][51] - The company maintains a long-term research focus, emphasizing the importance of computational resources and physical constraints in future advancements [52]