The PUMP public sale is over, originally I was also a large amount on Bybit, only 1/2 was put on the chain, and in the end, only the chain was successful, but fortunately there was no hedging in advance... Recently, many people in the AI community have been discussing VLA (Vision-Language-Action). I specifically researched whether anyone was doing VLA-related projects on the chain, and saw this CodecFlow@Codecopenflow project and bought a little. == What is CodecFlow doing == A brief introduction to VLA, VLA is a model architecture that allows AI to not only "speak" but "do". Traditional LLMs (like GPT) can only understand language and provide suggestions, but it can't do anything, click on screens, or grab objects. The VLA model means that it integrates three major capabilities: 1. Vision: Understand pictures, screenshots, camera inputs, or sensor data 2. Language: Understand natural language instructions from humans 3. Action: Generate executable instructions such as mouse clicks, keyboard inputs, and control robotic arms CodecFlow is doing VLA on the chain, and all processes can also be on-chain, auditable, verifiable, and settleable. Simply put, it's the infrastructure of "AI bots". == Why did I pay special attention to this project? == I found that their developers are core contributors to LeRobot, the hottest open source project in the VLA space! LeRobot is the top base for building VLA models in the open source world, including lightweight VLAs such as SmolVLA that can run on laptops. It means that this team really understands VlA architecture and understands robots. I see that they are also continuing to build, and the currency price is also rising steadily, I am very optimistic about the VLA track, and from the overall trend, VLA and robots are indeed the future in the market. • Web2 giants (Google, Meta, Tesla) are currently fully committed to VLA & bot training; • There are very few Web3 projects that can perform VLA applications, and they are still very scarce • VLA has the opportunity to play a huge value in scenarios such as DePIN, Web Automation, on-chain AI Agent execution, etc. CA：69LjZUUzxj3Cb3Fxeo1X4QpYEQTboApkhXTysPpbpump Always DYOR。