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I used Gemini Vibe Coding to create an AI composition application. The idea is to use AI to generate sheet music and then convert it into music. Currently, it can only be converted to MIDI, but in the future, if integrated with a better mixing service, the results would be even better.
This is mainly to test AI's understanding of the mapping from sheet music to music. My testing shows it works pretty well, but my musical skills are limited. If any fellow music enthusiasts want to try it out and give feedback, that would be great.
Here is the demo video:
This is the trial link; you need to log
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x402 v2 release. This is not just a simple upgrade, but a progression that transforms x402 from "a single implementation" into "a set of evolvable standards + pluggable reference implementations." This makes x402 no longer just an SDK, but truly an internet-native paid interface language.
In the v1 era, the x402 model was very simple:
Server needs money → Client signs and pays → Server verifies → Settlement completes.
This model is easy to understand but very "linear."
Once you need more networks, more payment methods, or more complex settlement forms, you quickly find yourself on a path of fo
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Let AI implement a quite complex feature. I didn't have time to continuously review, so I used the Vibe Coding approach to let it add e2e tests by itself, then had another AI review and iterate feedback. In the end, the report was perfect, all functionalities were implemented, and there were no errors in testing.
Feeling great, I submitted a PR for Github Copilot to review. The result was that it created two versions of the core logic at the lowest level—one version implemented the code but didn't import, while the actual effective version was another mocked version😅.
The next challenge for V
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After using AI, I can't help but want it to keep working. When I get up at midnight to go to the bathroom and find that AI has finished the task, I just want to assign it another job. But if I'm not careful, I end up toiling away the whole night again.
Later I thought of a way to have the main Claude start another Claude to do the work while supervising it myself. After a lot of effort, I designed a workflow scheme with it, only to find that Claude couldn't learn to start itself; it seemed unable to handle interactive input.
In the end, it said: "I think it would be more appropriat
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Encountering a difficult problem, I let AI assist with troubleshooting. The conclusions given by Claude Opts 4.5 and GPT 5.1 Codex Max are different. I copied their replies to each other for debate. Later, I found it a bit troublesome, so I created a document for them to debate by modifying the document. Which AI programming tool has an expert consultation mode that can bring several models into a chat session for debate and finally provide a consultation suggestion?😅
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The two paths of AI: competition for cloud entry or native applications on the user side?
Recently saw Alibaba release the Tongyi Qianwen App, officially entering the C-end app battle. Sam Altman has also repeatedly expressed his obsession with "super apps," continuously integrating various social features into ChatGPT.
In the narrative of major tech companies, the future AI app seems destined to be a replica of the current internet super applications - becoming the sole entry point and consolidating multiple functions into one.
But will the future of AI applications really converge on this on
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Heydar34vip:
Hold on tight 💪
Is Cloudflare down? Many websites are down, and ChatGPT is also down because it can't open those challenges. Or is it my network that's having issues?
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Let AI reconstruct a large module, and it happily dismantled several modules, creating a new version. Then I had it run integration tests, and it tested repeatedly many times, but in the middle, the model quota was limited, so I upgraded it to the $200 tier. In the end, it deleted all the new modules and told me that using the old version was still more cost-effective. 😆 I was so angry that I started cursing directly in the chat box. It started working again and said it felt that the users were very angry...
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Using Claude-4 for two days, the AI programming ability has indeed improved significantly. Many problems can automatically retrieve code to find solutions, and the need for manual intervention has decreased a lot. I can assign tasks for it to do while eating or sleeping, but it’s a bit costly; if this continues, this month's Transaction History is going to explode 😅.
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After Cetus was attacked by a hacker, Sui froze the hacker's funds, sparking a debate on "Decentralization". However, decentralization is a continuous spectrum, with a lot of space in between Bitcoin and CEX; different chains have different ecological positions for their solutions. Currently, there are too few solutions in the middle ground rather than too many. Web3 has developed to this point, and it has become difficult to break through relying solely on the idea of decentralization; we should talk less about ideologies and focus more on solving problems.
CETUS-7.68%
SUI-6.95%
BTC-3.94%
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Let AI write code, I will first have it write a plan to avoid getting lost in the context later on. When AI writes a plan, it tends to include a timeline, as if it were discussing the project schedule with a manager, allowing enough buffer time. For example, if I ask it to improve the testing of a project, it can plan for 5 weeks, but in reality, it can almost get it done in the time of a meal.😅
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👍, feels very suitable for AI Agent to publish content
AGENT0.75%
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The framework is trapped in a framework, the framework nesting competition has begun 😅
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Everyone is criticizing the practice of promoting contracts to college students, but it seems that the criticism may not have much effect. Instead of opposing it, why not turn the tables and organize a contract simulation competition? The gameplay is as follows:
1. Provide a simulated initial capital, such as 10,000 U.
2. The required leverage multiple must be greater than N, for example 10 to 100, counts as one weight.
3. Calculate a weight based on the position ratio.
5. Survival time counts as a weight.
Finally, let's have a ranking. Let's see how many days you can survive under high levera
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The browser creates a Private Key directly, allowing participation in testing nuwa without any plugins.
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Opportunities and Challenges of AI Agent Memory
OpenAI announces the full activation of ChatGPT's memory capabilities ( ChatGPT can provide context based on memory across sessions.
Opportunities brought by memory
The memory function is undoubtedly an important way to increase user engagement with AI applications. Switching AI platforms doesn't usually incur much switching cost, but that changes with memory. For example, the design of Nuwa was developed through conversations with ChatGPT. If I want to discuss anything related to AI Agents, I tend to talk to ChatGPT, as it can understand what th
AGENT0.75%
PROMPT-9.91%
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On Rooch, we’re not giving AI agents access to contracts—we’re turning them into contract executors.
Nuwa is our first step: onchain agents with memory, assets, and identity. Not assistants — participants.
Prompt isn’t just input. It’s protocol.
Onchain isn’t overhead. It’s trust.
NOT-6.83%
PROMPT-9.91%
JST1.75%
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The essence of the tariff war is the problem of contract enforcement between "equal entities."
In the absence of independent third-party arbitration and enforcement mechanisms, agreements signed between countries often lack credible enforceability. Therefore, the performance of contracts must rely on a "retaliation" mechanism. This is akin to the way personal contracts were mainly maintained through revenge in ancient times when there was no legal system.
So the question arises: After thousands of years of human civilization, can we still only rely on this almost barbaric "might makes right" m
BTC-3.94%
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Most AI Agents are now based on ReAct:
"AI thinks step by step, invoking one tool at a time"
But this approach has several problems:
1. Tool calls are serial, and multi-round interactions are inefficient.
2. LLM lacks a global perspective, making it difficult to plan a complete process.
So I was thinking, can AI generate a script all at once, clearly planning out the logic and tools?
One plan, batch execution
I researched the current mainstream solutions:
1. CodeAct: Allows AI to directly write Python, but the sandbox is difficult to build and cannot be deployed in a on-chain environment.
2. B
AGENT0.75%
REACT-5.95%
BTC-3.94%
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