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I saw a pretty shocking little thing in the group, and when I tell you, you might feel a bit dazed. A netizen started a small project half a year ago. At that time, he had a pile of MCP tool materials, so he simply set up a website to organize them. At first, he maintained it manually and was quite serious about it. Later, as the tools updated faster and faster, he couldn't keep up, so he wrote an Agent specifically to scan GitHub. When a new project came out, he would scrape it, categorize it, and automatically update it on the website. Then he turned around and got busy with other things. He didn't manage this site for half a year. The twist came a few days ago when he casually Googled and found: His long-forgotten website was ranking first in Google search. The key point is that this site never did any SEO; it relied solely on a very simple Agent that continuously and regularly completed the tasks. The story is over, but it leaves us with a lot of food for thought. I suddenly understand: Many times, we think AI needs to be very smart, but this case reminds me that just by being persistent, AI is already doing better than us. Most people have a common problem; it's hard to stick with something long-term. But AI is different; its rhythm is frighteningly stable. For example, in this story, you give it a direction, and it can take a very small task to an unignorable level. Even if you forget about it, it hasn't forgotten its mission. Talking too much is a bit moving; that forgotten Agent is still executing its original task, never stopping. The new generation of AI coding tools like Claude Code and Trae Solo are doing just that. Give it a task, and it can keep pushing forward. Isn't this exactly what we need AI to do? We explore, and it holds onto its original intention, pushing forward bit by bit, knowing how to finish the path we originally gave up on. This might be the most beautiful way I envision humans and AI coexisting.

Today, our new product FlowSpeech is officially launched. FlowSpeech is the world's first TTS that converts written language to spoken language. It can read web pages, narrate novels, present PowerPoint slides, and even translate foreign languages. It is your AI mouthpiece, ready to speak for you at any time. This may not sound groundbreaking, but it is a useful little product based on the real pain points of our actual users. Why, when the industry is all about hype, chasing models, and competing with Agents, did we choose to spend some time creating such a small product? As an AI application company, we certainly hope to become a unicorn in the sky. But the essence of making products is to help real people, one by one. The demand for FlowSpeech came from an 80-year-old American man, and this is his story. 👇

Runway Aleph Top 10 Creative Case Studies Collection, Recommended for Collection

Manus releases a new feature: Wide Research A one-step solution for large-scale complex research tasks. Wide Research breaks down ultra-large tasks into multiple sub-tasks and executes them concurrently, allowing for seamless collaboration and completion in one go. Scenario example: Researching a large number of sales leads at once. Simultaneously analyzing hundreds of companies across multiple dimensional metrics. Batch generating various content such as images, web pages, slides, etc. You only need to define the task objectives, and Manus will automatically handle all sub-tasks. A prompt for multi-task concurrency. Officially available to Pro users today, with plans to gradually roll out to Plus and Basic users in the future.

The GPT-5-Auto and GPT-5-Reasoning models have been found in the macOS ChatGPT application.

Last year, I used Copilot for the first time, and it was a bit shocking. It auto-completed a few lines of code and made writing a tool script incredibly satisfying. I thought to myself, "In the future, everyone will be about the same; with AI, who isn't an engineer anymore?" Looking back now, that thought seems a bit naive. The reality is: AI has not only failed to level the playing field but has actually widened the gap between programmers. Previously, the difference between top-tier programmers and average ones was 10 times, now it could be 100 times or even 1000 times. Why? Because AI has exposed the shortcomings of average programmers. If you used to get by writing for loops, CRUD operations, and connecting interfaces, AI can finish that in seconds. Your value is directly diminished. But those who are already good at system breakdowns and architecture find AI to be a tailor-made tool for them. Especially with the support of Cursor and even Claude Code, providing clearer intentions, AI can write functions and refactor modules in seconds, working together like long-time partners. The key is: the more precise your instructions, the stronger the feedback; if you're unclear, AI can only help you go in circles. In the past, writing code was "think 1, write 9"; now it has become "think 9, write 1". If you can't figure it out, you'll still get stuck; if you can think clearly, your efficiency will explode. Moreover, this isn't just a simple issue of learning prompts; it's about whether you have the system modeling ability to know "what method should be used here". Whether you're writing code or designing systems will be infinitely magnified in front of AI. In an era where tools are getting smarter, the real gap will only shift to one place: how much "irreplaceable judgment" a person's mind holds. AI has taken care of the "how to do it" for you, but the part of "what to do + why to do it" will only become more valuable.

BREAKING: ChatGPT CEO Sam Altman says people share personal info with ChatGPT but don’t know chats can be used as court evidence in legal cases.

I would like to share with you a very useful content creation tool - ContentPort This tool is of great help to content creators. It can easily transform the ideas in our minds into high-quality content suitable for publication, so that we no longer worry about content creation. And it can also plan the content of the week in one go, which greatly saves us time and energy. In addition, it has a very nice feature, which is the ability to automatically generate beautiful tweet pictures to make our tweets look more attractive. Now, ContentPort is 100% open source, which means it's free for everyone to use. If you are interested, you can click on the link below to find out.

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