The PUMP public sale is over, originally I was also a large amount in Bybit, only 1/2 on the chain, and in the end, only the chain was successful, fortunately there was no hedging in advance... Recently, there has been a lot of discussion in the AI community about VLA (Vision-Language-Action) In particular, I went to research whether there was anyone doing VLA-related projects on the chain, and I saw this CodecFlow@Codecopenflow project and bought a little. == What is CodecFlow doing == A brief introduction to VLA, a model architecture that allows AI to not just "speak", but "do". Traditional LLMs (like GPT) can only understand language and give suggestions, but it can't do hands-on, click on screens, or grab objects. The VLA model means that it integrates three capabilities: 1. Vision: Understand images, screenshots, camera inputs, or sensor data 2. Language: Understand human natural language instructions 3. Action: Generate executable commands, such as mouse clicks, keyboard input, and control of the robotic arm CodecFlow is doing the VLA on the chain, and all the processes can also be uploaded to the chain, which can be audited, verified, and settled. In simple terms, it's the infrastructure of an "AI bot". == Why am I paying special attention to this item? == I found out 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 that can run on laptops such as SmolVLA. It means that this team really understands VlA architecture and Robot. I see that they are also continuing to build, and the price of the currency 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 now fully committed to VLA & bot training; • Web3 projects are scarce in terms of VLA applications that can perform tasks • VLA has the opportunity to play a huge role in scenarios such as DePIN, Web Automation, and on-chain AI agent execution. CA：69LjZUUzxj3Cb3Fxeo1X4QpYEQTboApkhXTysPpbpump Always DYOR。