Daily A.I. Brief · September 9th

来自StoryFlow，

From StoryFlow,

这是你每日的音频简报。

this is your daily audio brief.

嘿，Theo。

Hey, Theo.

9月9日。

September 9.

今天早上科技界有五件重要的事。

Five things in tech that mattered this morning.

我们先从最让我惊讶的那件说起。

Let's start with the one that surprised me most.

让我们开始吧。

Let's get into it.

首先，来自Decoder的消息：OpenAI的千禧年证明争议引发了一个问题，那就是研究人员能否信任我们的iLabs。

First from the Decoder OpenAI's Millennium Proof Dispute raises the question of whether researchers can trust our iLabs.

关于一个AI生成的千年难题证明的争论正在升温。

The fight over an AI generated proof of a millennium problem is heating up.

数学家特里斯坦·布克马斯特指责OpenAI学术欺诈。

Mathematician Tristan Bookmaster accuses OpenAI of academic fraud.

CEO萨姆·奥尔特曼否认了这些指控。

CEO Sam Altman rejects the allegations.

特伦斯·陶警告说，这类事件可能会逆转开放科学数百年的传统。

Terence Tau warns that cases like this could reverse centuries of tradition in open science.

这篇文章《千年证明争议引发对研究人员能否信任我们实验室的疑问》最初发表在《解码器》上。

The article open as millennium proof dispute raises the question of whether researchers can trust our eye labs appeared first on the Decoder.

接下来，OpenAI和Unfurapic的前预训练研究员雅各布·科克森辞职，并指责这两家公司明知故犯地冒着人类灭绝的风险。

Next, Jacob Coxen, a former pre training researcher at OpenAI and Unfurapic has quit and accuses both companies of knowingly risking human extinction.

Anthropic的同事埃文·胡宾格认为，未来十年内，一个错位的超级智能消灭人类的概率超过百分之十。

Anthropic colleague, Evan Hubinger, puts the odds of a misaligned superintelligence are wiping out humanity within the next decade at more than ten percent.

第二则来自《解码器》的报道，《科学家认为十年内AI毁灭人类的概率超过百分之十》最初发表在《解码器》上。

Second from The Decoder, Throw Picks Scientist puts the odds of ray destroying humanity above ten percent this decade appeared first on The Decoder.

接下来，来自 The Decoder 的第三条新闻：DeepMind 的 Alpha Genome Atlas 绘制了人类基因组中所有可能的 DNA 变化。

Up next, third from The Decoder, d MIND's Alpha Genome Atlas maps every possible DNA change in the human genome.

Google DeepMind 利用 Alpha Genome Atlas 预测了大约 90 亿种可能的单字母变化

Google d MIND has used the Alpha Genome atlas to predict what each of the roughly 9,000,000,000 possible single letter changes

在人类基因组中可能产生的影响。

in the human genome could do.

这个数据集达到了 1 PB，是 AlphaFold 数据库的 30 多倍。

The dataset spans one petabyte more than 30 times the size of the alpha fold database.

在一个癫痫病例中，这个图谱帮助找到了一个之前被忽视的变异，很可能是病因。

In one epileptic case, the atlas helped pinpoint a previously overlooked variant as the likely cause.

这篇文章《DeepMind 的 Alpha Genome》

The article deep mines alpha genome.

《Atlas 绘制人类基因组中所有可能的 DNA 变化》首次发表在 The Decoder 上。

Atlas maps every possible DNA change in the human genome appeared first on the decoder.

然后，第四条来自我们未使用的……

And then, fourth from our unused...

三星与Mistral Air合作，将模型用于半导体制造。

Samsung taps Mistral Air and models for semiconductor manufacturing.

这次合作旨在应对芯片设计和制造中日益增加的复杂性。

The collaboration aims to address the increasing complexities in our chip design and manufacturing.

三星设备解决方案部门的首席执行官强调了半导体技术持续创新的必要性。

Samsung CEO of the device solutions division highlighted the need for ongoing innovation in semiconductor technologies.

Mistral将提供专门的软件工具，帮助简化处理器的设计和生产流程。

Mistral will provide specialized software tools that will help streamline the design and production of processors.

三星计划将这些AI模型用于特定任务，比如自动缺陷检测和优化工厂内的机械设备。

Samsung plans to use these AI models for specific tasks like automated defect detection and optimizing machinery within its manufacturing plants.

这种方法预计能加快开发周期，提高制造精度，并稳定生产良率，特别是在先进的存储器和逻辑芯片方面。

This approach is expected to speed up development cycles, enhance manufacturing accuracy, and stabilize production yields, particularly in advanced memory and logic chips.

此外，三星对Mistral系列D轮融资的投资，体现了对促进半导体制造商与AI开发者之间长期合作的承诺。

Additionally, Samsung's investment in Mistral series d funding round signifies a commitment to fostering long term collaboration between semiconductor manufacturers and our AI developers.

这种合作是AI融入复杂技术流程这一更广泛趋势的一部分，旨在提升行业的效率和创新能力。

This partnership is part of a broader trend of integrating AI into complex technological processes aiming to improve efficiency and innovation in the industry.

接下来，第五条来自《麻省理工科技评论》的报道。

Next, fifth from MIT technology reviewer I.

然而，这一成就却因争议而蒙上阴影，争议焦点在于他们是否恰当地认可了纽约大学数学家特里斯坦·布克马斯特和一位名叫莱文·阿尔珀格的员工，这两人一直在用自己的模型研究这个问题。

However, this achievement has been overshadowed by controversy over whether they appropriately credited NYU mathematician Tristan Bookmaster and for a pick employee, Levin Alperge, who had been working on the problem using their own models.

OpenAI声称他们的工作灵感来自布克马斯特和阿尔珀格努力的传闻，但是

OpenAI claims their work was inspired by rumors of Bookmaster and Alperge's efforts, but

有人质疑他们是否接触或使用了这些研究。

there are questions about whether they accessed or utilized their research.

OpenAI的最新争议告诉我们数学的未来走向。OpenAI最近宣布解决了纳维-斯托克斯方程的存在性和光滑性问题，这是数学领域的一个重要里程碑。

What OpenAI's latest controversy tells us about the future of Math OpenAI recently announced the solution to the Navier Stokes existence and smoothness problem, a significant milestone in mathematics.

纳维-斯托克斯方程对于理解流体动力学至关重要，这一解决方案的影响可能重塑数学研究的格局。

The Navier Stokes equations are crucial in understanding fluid dynamics, and the implications of this solution could reshape the landscape of mathematical research.

布克马斯特和阿尔珀格花了近一年时间取得了实质性进展，而OpenAI的团队据称在几天内就解决了这个问题，他们使用了一个强大的内部模型，同时运行了数千个智能体，成本相当高。

World Bookmaster and Outperge made substantial progress over nearly a year, OpenAI 's team reportedly solved the problem in a matter of days using a powerful internal model, running thousands of agents concurrently at a significant cost.

这引发了人们对数学未来的担忧，因为似乎只有少数几家公司拥有解决这些复杂问题的资源。

This raises concerns about the future of mathematics as it appears that only a fewer eye companies possess the resources to tackle these complex problems.

这种情况凸显了一个令人担忧的趋势：随着人工智能公司主导数学研究，人类数学家可能会被边缘化。

The situation highlights a troubling trend as our eye companies dominate mathematical research, human mathematicians may find themselves sidelined.

专家们担心，这可能会抑制那些历来推动该领域发展的合作努力。

Experts worry that this could stifle collaborative efforts that have historically driven the field forward.

陶哲轩强调了人类主导的数学探索的重要性，认为人工智能的快速解决方案可能会阻碍新思想和新方法的发展。

Terence Tau emphasized the importance of human directed exploration in mathematics, suggesting that our eyes rapid solutions might hinder the development of new ideas and approaches.

在展望数学的未来时，人类直觉与人工智能计算能力之间的平衡仍然是一个关键话题。

The balance between human intuition and our eyes computational power remains a critical conversation as we look to the future of math.

今天就到这里。

That's it for today.

明天早上，无论夜晚带来什么，保持好奇心。新来的朋友，去storyflow.com领取你的免费订阅吧。

Tomorrow morning, whatever the night brings, stay curious, new here, grab your own free feeds at storyflow.com.

只需要几秒钟。

It only takes a few seconds.