Austin Zhang

19. Founder & CEO. Building products and companies for the AI-native era.
Connect：[email protected]

[Austin Zhang @AustinZhang2007]

Hi, I’m Austin.

19. Founder.

As part of the AI-native generation, I feel fortunate to be building in this era.

AI is giving us a new way to understand, explore, and shape the world.

More broadly, I’m drawn to the frontiers of technology — discovering what comes next, turning ideas into reality, and building things that genuinely matter.

Along the way, I hope to meet like-minded people, exchange ideas, and create together.

Let’s push technology a little further — and then a little further still.

[Austin Zhang @AustinZhang2007]

��于“LLM 只是在概率预测，因此永远不可能产生真正的智能”这种判断，首先需要追问：这个“不可能”的依据是什么？如果仅凭个人对学习和理解的经验，就断言另一种学习方式的能力上限，那更接近主观臆断，而不是已经得到证明的结论。

今天的 AI，就像成熟热力学出现之前的蒸汽机：工程已经走在前面，而我们的理论解释，还没有完全跟上。我们已经能训练出具有复杂能力的模型，却还没有完整解释，这些能力究竟如何从训练中形成。尚未充分理解，不等于可以断言它不可能。

模型经历的预训练，无论规模还是机制，都不同于一个人的阅读。没有哪个人的阅读经历，能直接对应这种海量学习。因此，我们不能仅凭自己“读书能学到什么”的经验，就断言模型通过这样的训练能学到什么、不能学到什么。这不意味着它不可解释，也不意味着规模必然带来智能，而是个人经验不足以裁定它的能力上限。

而且，文字并不是与世界隔绝的符号。一本没有插图的小说，也能让我们借助已有经验，在脑中构建复杂的场景。文字承载着空间、运动、因果，以及人类对世界的观察和理解。信息载体的形式，不等于信息内容的边界。预测下一个词，是训练目标，不是能力上限。学习语言的规律，也可能是在间接学习产生这些语言的真实世界。

我并不认为，仅靠文字就是理解世界最完整、最高效的���式。三维空间、感知、行动和环境反馈当然重要，但它们的重要性，并不意味着语言的作用应该被低估。我更看好语言学习成为世界建模的重要基础之一，与感知和交互相结合，而不是在 LLM 与世界模型之间二选一。这是openai现在在走的路。

文字不是世界本身，但学习文字，不意味着只能学到文字。

[Diogo Almeida @CompleteSkeptic]

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?

I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev

• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions

AFAICT the shortest path to AI-based economic revolution

[Austin Zhang @AustinZhang2007]

?

[Pepsi @pepsi]

cola

[Paul Christiano @paulfchristiano]

https://t.co/vC2chU6YM9

[Austin Zhang @AustinZhang2007]

我越来越觉得，人类学、社会学、艺术、美术、音乐、设计这些领域，会变得越来越有价值。

不是因为 AI 做不好这些事情。AI 可以画画、作曲、写作、设计，甚至可以生成非常优秀的结果。

而是因为这些领域真正重要的部分，从来不只是“产出作品”。

它们本质上是一个人从自身出发，对世界、社会、他人、生命和美的感知与理解，再把这种理解表达出来。

这一部分是无法被替代的。

因为 AI 可以复制表达的形式，却无法替代“一个人如何感知这个世界”本身。

从我现在对技术发展的理解来看，所有目的明确、结果可衡量、过���可以优化的事情，最终都有被技术取代的可能。

反而是那些看起来最“没有目的”的事情——感受、理解、审美、思考、表达——不会消失，并会成为我们保持主体性的核心。

因为它们本来就不是为了完成某个任务。

它们只是人类在活着，并试图理解这个世界，并表达自己的看法。

[Austin Zhang @AustinZhang2007]

刷屏了

[Jacob Coxon @hilbertspaess]

I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.

[Austin Zhang @AustinZhang2007]

@dhh 你好

[Austin Zhang @AustinZhang2007]

笑死我了

[孙宇晨（去过太空版）🧑‍🚀 @sunyuchentron]

版本答案

[Sam Altman @sama]

Images 2.5 is here.

I don't think it can solve super difficult math problems, but it is really good and we hope you enjoy it.

https://t.co/LdZhGF5AcZ

[OpenAI @OpenAI]

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.

The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.

The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.

[Austin Zhang @AustinZhang2007]

LMFAO FOR REAL😂

[Dino @ChromeDinoRH]

@GoogleAIStudio Nothin much, just playing offline game

[Tibo @thsottiaux]

@moonflyingoverc @twostraws 你最牛了！

[Austin Zhang @AustinZhang2007]

今天在香港参加了CDIC 2026 共创共投产业加速峰会。

现场听了香港特区财政司陈茂波司长关于香港未来产业布局的演讲，包括推动“AI+”与各行业深度融合、建设人工智能研发与算力基础设施，并重点发展生命健康、具身智能、微电子等新兴产业。

同时，今天也认识了不少非常优秀的团队：从大千视觉的 AI 工业视觉��测，到 ACE Robotics 对世界模型和具身智能的探索，再到利用非接触式感知进行家庭健康监测与风险预警的项目。后一个方向尤其让我印象很深，和我们的小满 Nolaka 有不少可以融合和探索的空间。

杭州市场景创新中心、广东（东莞）应用场景创新中心带来了大量真实的产业与城市 Use Cases，并且现场与startup进行了产品和技术的匹配，提供了非常好的落地窗口。

[Sawyer Merritt @SawyerMerritt]

Here’s my first full Cybercab ride. This vehicle is a game changer.

[Sam Altman @sama]

GPT-6 Astra is here.

We hope it will begin to enable a new generation of entrepreneurship, scientific discovery, and building.

We believe it is the best model in the world for computer use, professional work, science, coding, cybersecurity, and more.

It took us some extra time to ensure that we could meet the safety and alignment standards required for this capability level, but we think you’ll find it worth the wait.

It scores 98% on FrontierMath Tier 4, 99.9% on ARC-AGI 3, and 100% on ExploitBench.

[OpenAI @OpenAI]

This is GPT-6 Astra.

Anything you can do on a computer, Astra can do for you. Fast.

[Austin Zhang @AustinZhang2007]

@NFT_Chen 求解，为什么我不行？

[Austin Zhang @AustinZhang2007]

true

[Elon Musk @elonmusk]

Humans writing code as seen by future AI

[News from Google @NewsFromGoogle]

For the first time, scientists have mapped the complete brain and central nervous system of an adult male fruit fly — a key model organism in science. 🪰

Working alongside HHMI Janelia Research Campus and the scientific community, @GoogleResearch scientists and researchers used AI to combine millions of 2D images into 3D neural shapes, reconstructing a record-breaking 166,000+ neurons. This foundational map of the adult male fruit fly brain can help accelerate our understanding of the brain, and is a major milestone in neuroscience.

[Austin Zhang @AustinZhang2007]

😂

[Z.ai @Zai_org]

We’re still up.