Steampunk AI 09月30日
周日链接:ChatGPT代理、无代码和隐蔽文本提示
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本周的链接来自伦敦。这篇帖子概述了当今不同的LLM架构,OpenAI推出了“ChatGPT代理”,Substack筹集了1亿美元,无代码技术正在发展,科学家在学术论文中隐藏AI文本提示以获得积极的同行评审,本周还公布了一个有趣的数学定理证明。

🔍 本周链接概述了当今不同的LLM架构,提供了紧凑的技术概述,展示了不同架构的兴衰。

🤖 OpenAI推出了“ChatGPT代理”,旨在自动化网络和工具使用,类似于Anthropic的编码代理工作。

💰 Substack筹集了1亿美元,暗示着网络内容的订阅时代即将到来,可能成为AI世界的内容分发引擎。

🚫 文章‘无代码已死’讨论了无代码在企业开发中的缓慢进展,尽管vibe编码承诺让用户通过提示构建应用程序,但目前仍不够精确和可靠。

📄 科学家在学术论文中隐藏AI文本提示以获得积极的同行评审,这种做法在伦理上可能存在问题,但反映了AI在学术评审中的普遍使用。

🧮 本周还公布了一个有趣的数学定理证明,展示了数学领域的最新进展。

Sunday Links: ChatGPT Agent, No Code, and Sneaky Text Prompts

ChatGPT Agent, No Code, and Sneaky Text Prompts

Greetings from London, here are this week's links.

    The Big LLM Architecture Comparison. This is a nice, compact technical overview of today's different LLM architectures. Great post by Sebastian Raschka. The latest LLMs do all borrow from each other, but it's interesting to see the rise and fall of different architectural approaches.OpenAI unveils ‘ChatGPT agent’. OpenAI is pushing hard into automating web and tool use (also a detailed blog post here). The new "Agent mode" takes previous work on operator and starts long-running tasks (like deep research), which is a very similar trajectory to what Anthropic is taking with its coding agents work. There will be a lot of challenges with long-running tasks running into errors, but OpenAI is clearly pushing hard to try to change web and office tool use from today's user-centric experience to an AI-centric one.Substack just raised $100M. Substack isn't an AI company directly, but I do think a "subscription" era of web content is going to be inevitable as human web browsing gives way to AI aggregation. Substack and other subscription platforms might be one of the engines of content distribution. I hope there will be lots of platforms that do this, not just a few, but they'll probably be needed. At some level, the fundraise seems small to me for something that could end up being a new distribution hub in an AI world.No Code Is Dead. Clickbait title, but a nice article from The New Stack. No-code has been "almost here" for the last 10-15 years of enterprise development. There has been a slow, painful advance to give more configuration power to business users, and hence unburden development teams from building custom code. The result has been an uneasy alliance between development teams delivering APIs and components, SaaS platforms building increasingly sophisticated UIs, and a range of drag-and-drop integration tools that try to span the two worlds. Mostly, this has resulted in a fragile ecosystem of interdependencies. Now that Vibe coding promises executives and business users the promised land of building apps entirely from scratch by prompt, it's unclear what will happen. For now, even the best vibe coding tools like Lovable don't quite provide enough precision and definitely not enough security or manageability to be durable in an enterprise environment, but that future is surely coming. It seems likely that the best players will integrate with existing enterprise ecosystems rather than try to rewrite them from scratch. Ingesting existing no-code integrations and making them controllable and adjustable via Vibe coding prompts seems like a way to leapfrog to utility quickly.Scientists reportedly hiding AI text prompts in academic papers to receive positive peer reviews. Scientific conference reviewers are often volunteers, and they are generally supposed to use their own judgment to determine the grading of submitted papers. Unfortunately, many increasingly use AI to generate reviews, and it's a frequent occurrence that "AI reviews" are returned to authors. By encoding messages directly to AI in the submitted papers, authors are fighting back. This seems natural, though perhaps going as far as asking for a favourable review breaks some ethical boundaries!

In other news, there was a cool mathematical theorem proof revealed this week. Wishing you a Happy Sunday.

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ChatGPT Agent No Code Sneaky Text Prompts LLM Architectures Substack AI in Academia Mathematical Theorem Proof
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