--- 格式版本: 2 标题: "OpenAI's Sutskever in GTC Fireside Chat | NVIDIA Blogs" 原文链接: "https://blogs.nvidia.com/blog/sutskever-openai-gtc/" 发布日期: "2026-06-30" 发布时间校准状态: "found" 发布时间来源: "llm:strict_original_body" 发布时间证据: "time class=related-news-date nvidia-article-date datetime=2026-06-30T08:00:57-07:00: Jun 30, 2026" 发布时间校准原因: "该日期来自HTML metadata中的article-date字段，位于标题附近，符合文章发布时间的特征。" 发布时间校准置信度: "1" 发布时间候选数量: 32 发布时间严格候选数量: 12 发布时间原页读取状态: "原页面来自已抓取 HTML" 发布时间未找到原因: "候选日期无效或 LLM 未确认" 发布时间校准时间: "2026-07-20T15:04:31+08:00" 发现时间: "2026-07-20T09:27:23+08:00" 入库时间: "2026-07-20T07:11:14.420Z" 来源平台: "NVIDIA Blog 搜索" 搜索渠道: "source_template" 搜索词: "https://blogs.nvidia.com/?s=OpenAI" 匹配关键词: [] 相关厂家: - "OpenAI" - "NVIDIA" - "Microsoft" 相关专家: [] 内容类型: "网页" 抓取工具: "AgentKey Scrape" 清洗工具: "AgentKey Markdown + LLM 正文裁剪" 原始附件: [] AI优质: "否" AI打分: 35 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "文章为NVIDIA官方GTC 2023炉边谈话记录，主要讨论GPT-4、大模型训练与AI发展历史，未涉及超节点、AI Rack、机柜级系统、供电散热互连等硬件架构或部署信息，技术细节与主题相关性极低，不符合项目关注范围。" AI质检模型: "qwen3.6-plus" AI质检时间: "2026-07-20T15:11:14+08:00" AI主题相关性: 5 AI来源权威性: 12 AI新颖性: 5 AI技术细节: 2 AI商业部署信号: 3 AI完整性: 8 图片摘要: - "✓ ./assets/img-763317c3.jpg | photo | 黄仁勋与OpenAI联合创始人Ilya Sutskever在GTC大会上进行炉边谈话的现场照片。" - "✗ ./assets/img-83d2f103.jpg | diagram | 与正文主题无关，属于其他文章（关于AI基础设施能效）的配图或推荐链接。" - "✗ ./assets/img-1f6575f1.png | diagram | 与正文主题无关，属于其他文章（关于NVIDIA Vera CPU）的配图或推荐链接。" - "✗ ./assets/img-3511966c.jpg | photo | 与正文主题无关，属于其他文章（关于NVIDIA AI Compute）的配图或推荐链接。" - "✗ ./assets/img-e47e99dc.png | infographic | 与正文主题无关，属于其他文章（关于NVIDIA推理软件栈）的配图或推荐链接。" 采集批次: "2026年7月20日9点23分34秒" 采集批次ID: "20260720-092334-062" 去重键: "https://blogs.nvidia.com/blog/sutskever-openai-gtc" --- Like old friends catching up over coffee, two industry icons reflected on how modern AI got its start, where it’s at today and where it needs to go next. Jensen Huang, founder and CEO of NVIDIA, interviewed AI pioneer Ilya Sutskever in a [fireside chat](https://www.nvidia.com/gtc/session-catalog/?tab.catalogallsessionstab=16566177511100015Kus#/session/1669748941314001t6Nv) at [GTC](https://www.nvidia.com/gtc/). The talk was recorded a day after the launch of GPT-4, the most powerful AI model to date from OpenAI, the research company Sutskever co-founded. They talked at length about GPT-4 and its forerunners, including ChatGPT. That [generative AI](https://www.nvidia.com/en-us/glossary/data-science/generative-ai/) model, though only a few months old, is already the most popular computer application in history. Their conversation touched on the capabilities, limits and inner workings of the deep neural networks that are capturing the imaginations of hundreds of millions of users. Compared to ChatGPT, GPT-4 marks a “pretty substantial improvement across many dimensions,” said Sutskever, noting the new model can read images as well as text. “In some future version, \[users\] might get a diagram back” in response to a query, he said. ## Under the Hood With GPT “There’s a misunderstanding that ChatGPT is one large language model, but there’s a system around it,” said Huang. In a sign of that complexity, Sutskever said OpenAI uses two levels of training. The first stage focuses on accurately predicting the next word in a series. Here, “what the neural net learns is some representation of the process that produced the text, and that’s a projection of the world,” he said. The second “is where we communicate to the neural network what we want, including guardrails … so it becomes more reliable and precise,” he added. ## Present at the Creation While he’s at the swirling center of modern AI today, Sutskever was also present at its creation. In 2012, he was among the first to show the power of deep neural networks trained on massive datasets. In an academic contest, the AlexNet model he demonstrated with AI pioneers Geoff Hinton and Alex Krizhevsky recognized images faster than a human could. Huang referred to their work as the [Big Bang of AI](https://blogs.nvidia.com/blog/accelerating-ai-artificial-intelligence-gpus/). The results “broke the record by such a large margin, it was clear there was a discontinuity here,” Huang said. ## The Power of Parallel Processing Part of that breakthrough came from the parallel processing the team applied to its model with GPUs. “The ImageNet dataset and a convolutional neural network were a great fit for GPUs that made it unbelievably fast to train something unprecedented,” Sutskever said. ![Another image from the fireside chat between Ilya Sutskever of OpenAI and Jensen Huang.](./assets/img-763317c3.jpg) That early work ran on a few GeForce GTX 580 GPUs in a University of Toronto lab. Today, [tens of thousands](https://news.microsoft.com/source/features/ai/how-microsofts-bet-on-azure-unlocked-an-ai-revolution/) of the latest NVIDIA A100 and H100 Tensor Core GPUs in the Microsoft Azure cloud service handle training and inference on models like ChatGPT. “In the 10 years we’ve known each other, the models you’ve trained \[have grown by\] about a million times,” Huang said. “No one in computer science would have believed the computation done in that time would be a million times larger.” “I had a very strong belief that bigger is better, and a goal at OpenAI was to scale,” said Sutskever. ## A Billion Words Along the way, the two shared a laugh. “Humans hear a billion words in a lifetime,” Sutskever said. “Does that include the words in my own head,” Huang shot back. “Make it 2 billion,” Sutskever deadpanned. ## The Future of AI They ended their nearly hour-long talk discussing the outlook for AI. Asked if GPT-4 has reasoning capabilities, Sutskever suggested the term is hard to define and the capability may still be on the horizon. “We’ll keep seeing systems that astound us with what they can do,” he said. “The frontier is in reliability, getting to a point where we can trust what it can do, and that if it doesn’t know something, it says so,” he added. “Your body of work is incredible … truly remarkable,” said Huang in closing the session. “This has been one of the best beyond Ph.D. descriptions of the state of the art of large language models,” he said. To get all the news from GTC, watch the keynote below. GTC 2023 Keynote with NVIDIA CEO Jensen Huang - YouTube NVIDIA 2.23M subscribers ![Another image from the fireside chat between Ilya Sutskever of OpenAI and Jensen Huang.](./assets/img-763317c3.jpg)