🌟 Photo Sharing Tips: How to Stand Out and Win?
1.Highlight Gate Elements: Include Gate logo, app screens, merchandise or event collab products.
2.Keep it Clear: Use bright, focused photos with simple backgrounds. Show Gate moments in daily life, travel, sports, etc.
3.Add Creative Flair: Creative shots, vlogs, hand-drawn art, or DIY works will stand out! Try a special [You and Gate] pose.
4.Share Your Story: Sincere captions about your memories, growth, or wishes with Gate add an extra touch and impress the judges.
5.Share on Multiple Platforms: Posting on Twitter (X) boosts your exposure an
I am also doing better. Theoriq officially said it's really good to have me. I also want to say, it's really good to have you. Take me to the shore!
I saw that @TheoriqAI and @ArrakisFinance officially announced their collaboration these days. One focuses on AI and the other on DeFi. This combination feels quite promising!
The AI agent group of Theoriq can connect with the liquidity pool of Arrakis, allowing users to deploy liquidity and optimize returns in a smarter, more automated, and convenient way, without having to operate blindly themselves.
On one hand, AI can help dynamically adjust strategies, and combined with the functionality of Uniswap V4 on the Base chain, it can manage multiple token pairs to try to maximize LP earnings; on the other hand, users can still maintain control over their assets, as Theoriq has strict control rules, and Arrakis is also non-custodial, ensuring safety and peace of mind.
Theoriq has been quite active recently, with a lot of positive feedback from the internal testing. The mainnet is expected to be launched soon. In a previous AMA in the Chinese community, our COO @PeiChen01 mentioned that there would be a big move with Kaito on July 15. I don't know the specifics either, but let's look forward to it together!
Then let's take a look at 0G @0G_labs. Besides constantly looking for various major projects for a dream collaboration, 0G Labs has set up a knowledge base website (
This is specifically for yappers. I took a look, and the content is very comprehensive. Now, if anyone doesn't know what to write, they can come here for reference. You could say it's quite detailed!
Want to know what this project is, how the technology works, what the team's background is, what the latest developments are, even who the investors are, and which partners are in the ecosystem; basically, all the information is available.
Complex technical concepts have been broken down into simple steps, explained step by step, so that beginners can understand. There are clear directions for those who want to get involved, whether it's development, content writing, or participation in governance, with specific methods provided, so one won't feel lost!
It also includes external reports on 0G, making it easy for writers to identify the differences compared to other projects.
In addition, the tokenomics section marked "very soon" suggests that the token issuance is not far off. I have previously mentioned that 0G is definitely going to be developed; it is one of the major projects this year!
In short, if you want to learn about 0G or get involved, this website can help you a lot, you can take a look.
Then there's @OpenledgerHQ, the little octopus plush toy that was drawn a couple of days ago is already on its way, the lucky winners just need to wait a bit longer!
I checked, and OpenledgerHQ launched three core API modules a few days ago. It's quite practical and makes data calls very simple. We can take a look together:
One is the prompt call, using an interface to access various specialized models, sending a command to get results immediately, and also allowing you to modify data and adjust parameters. Scenarios like AI robots and on-chain reasoning can all utilize this.
Another aspect is model management, which can call up all available models, whether trained by oneself or shared by others. It's also convenient to know details like pricing and permissions, and permissions can be divided by team, making collaboration easier.
There is also a cost tracking feature that clearly shows where the money spent on model invocation goes. It will be distributed to those who provide data and those who train the model. You can check who used which model, when it was used, and how much was spent, making everything very clear throughout the process.
I think this is what the AI economy should look like, not just whether the model is useful or not, but it's important to be able to share profits, trace back, and make good use of data productivity.
Now Openledger can not only adjust models but also help build models, distribute profits, and clarify data ownership. Both users and developers can benefit from it. I've heard that the TGE is coming soon, so let's look forward to it together!
#yappers # TheoriqAI #KaitoAI # Starboard #OpenLedger