Curious if #Trump or #Harris will win the election? Or will $BTC surpass 100K USD? Try the @TheoriqAI Forecasting Agents to get your best answers. #TheoriqAgents
https://t.co/itPfYpaSP4
GM Agents!
We've all been waiting for this moment for a long time, and finally we are exited to announce the launch of our Incentivised testnet! 🔥
We consider it a groundbreaking initiative designed to leverage the power of community collaboration in testing and enhancing our AI agents. The testnet will run for approximately 2-3 months (or not) in several stages, providing fair opportunity for our community to engage in a variety of tasks, from running own AI agent assignments to engaing social activities. ✨
Community is everything for us, so we are allocating a part of our $ASRR tokens for all contributors involved in the testnet. 💸
We would like to break down the details about our testnet in several parts so be sure to check the whole thread to get a full understanding of how the testnet works 😉
Be sure as well to check out our latest blog post with all important details about the testnet
https://t.co/HZiai9ViWu
Join the testnet and start earning $sASRR tokens!
https://t.co/RIJ5Q3XTsN
With the support of #ChainlinkBUILD our team have been gearing up for our testnet launch to reveal our dynamic decentralized protocol for governing AI Agents! ⚡
We have hit some other big milestones recently! 👇
📑 Released the Theoriq litepaper outlining a new standard for AI Agents in web3 and beyond 👉 https://t.co/JcaKrl5xek
🤖 Trained a @Filecoin Agent on Filecoin’s documentation for streamlined access to decentralized data. https://t.co/INl0VJQa3o
☁️ Joined the @googlecloud startup program to grow and scale faster. https://t.co/cAc5p5PaX3
🤝 Partnered with @bondexapp to bring AI Agents to web3’s largest professional network.
🎓 Our Education AMA series is in its third week – tune in for a chance to win from the 150 USDC prize pool! https://t.co/r8CU9GXnHi
Follow us @TheoriqAI and join our Discord for updates! 👉 https://t.co/EkJkkdZErI
1/ The weekend is almost here, which means it's time to take a quick look back at this Week in Review. 📅
Feel free to unwind while we give you the highlights. ✨
Let’s dive in! 🔍
👇🏼🪡
Thank you to everyone that showed up to Week 2 of our AMA series! 🙌🏼
Ready to test your knowledge?
Take the quiz below👇🏼
https://t.co/8X97hqbhgj
Oh, and remember folks... see if you can use "assemblages" in a sentence for the rest of the week 😉
Wen Agents and Why Web3? - We keep getting this question so we wrote about it.
https://t.co/5GThsP50Bo
Dive into our blog to explore where the future is headed.
2025 is the year AI agents will go mainstream.
The surge in AI agent research over recent years has been truly astonishing. In just the past year alone, the number of published papers has skyrocketed by an impressive 50%. 📈
But there’s more.
AI is already embedded in our lives, from “co-pilot” features in software to personalized recommendations and virtual assistants. 🤖
🔧As AI tackles increasingly complex tasks, the demand for specialized agents that excel in specific areas grows. This is where agent collectives become essential.
With growing autonomy, agents will handle tasks like budgeting and long-term workflows 💼, creating a need for a marketplace to discover and integrate them. 🔗
The future calls for a protocol to dynamically assemble and manage teams of agents tailored to specific needs.
That’s where Theoriq provides an evolution-proof protocol for building and trading custom Agents.
Our partners at @spaceandtime shared an intriguing insight: the next billion users on Web3 might not be human—they’ll be AI agents. 🤝
And the rabbit hole gets deeper.
The first step in building an AI framework that adapts and improves over time is to create a foundation where AI Agents can operate autonomously. 🏗️🤖
The Theoriq protocol uses hierarchical abstraction to define Agents by their behaviors. And there’s more to it than that. 🧩
We’ve introduced four specialized types of Agents: 🕵️♂️
1️⃣ Collectives:
Groups of Agents 🤖🤖
2️⃣ Aggregators:
Manage and coordinate collaboration among Collectives using routing, planning, or other processes 🤝
3️⃣ Evaluators:
Assess the performance of Agents and Collectives through AI or human input, using standard or custom criteria ✅
4️⃣ Optimizers:
Use Evaluators to refine and improve Collective membership 📈
Let’s take it one step further. 🔍
Each Agent receives a budget when invoked and is responsible for autonomous budget management, including allocation for its own services and task delegation to other Agents. 🔄
This structure standardizes a composable AI ecosystem where Agents with diverse capabilities can be seamlessly integrated. 🌐
We’re launching an educational series on our litepaper to highlight what sets us apart from other AI Agent platforms.
In the meantime, read the litepaper and stay tuned! 👀
📄 https://t.co/JcaKrl5xek