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# Bounty Program
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Our bounty program is an exciting opportunity for contributors to help us build the future of Swarms. By participating, you can earn rewards while contributing to a project that aims to revolutionize digital activity.
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Here's how it works:
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1. **Check out our Roadmap**: We've shared our roadmap detailing our short and long-term goals. These are the areas where we're seeking contributions.
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2. **Pick a Task**: Choose a task from the roadmap that aligns with your skills and interests. If you're unsure, you can reach out to our team for guidance.
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3. **Get to Work**: Once you've chosen a task, start working on it. Remember, quality is key. We're looking for contributions that truly make a difference.
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4. **Submit your Contribution**: Once your work is complete, submit it for review. We'll evaluate your contribution based on its quality, relevance, and the value it brings to Swarms.
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5. **Earn Rewards**: If your contribution is approved, you'll earn a bounty. The amount of the bounty depends on the complexity of the task, the quality of your work, and the value it brings to Swarms.
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## The Three Phases of Our Bounty Program
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### Phase 1: Building the Foundation
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In the first phase, our focus is on building the basic infrastructure of Swarms. This includes developing key components like the Swarms class, integrating essential tools, and establishing task completion and evaluation logic. We'll also start developing our testing and evaluation framework during this phase. If you're interested in foundational work and have a knack for building robust, scalable systems, this phase is for you.
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### Phase 2: Enhancing the System
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In the second phase, we'll focus on enhancing Swarms by integrating more advanced features, improving the system's efficiency, and refining our testing and evaluation framework. This phase involves more complex tasks, so if you enjoy tackling challenging problems and contributing to the development of innovative features, this is the phase for you.
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### Phase 3: Towards Super-Intelligence
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The third phase of our bounty program is the most exciting - this is where we aim to achieve super-intelligence. In this phase, we'll be working on improving the swarm's capabilities, expanding its skills, and fine-tuning the system based on real-world testing and feedback. If you're excited about the future of AI and want to contribute to a project that could potentially transform the digital world, this is the phase for you.
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Remember, our roadmap is a guide, and we encourage you to bring your own ideas and creativity to the table. We believe that every contribution, no matter how small, can make a difference. So join us on this exciting journey and help us create the future of Swarms.
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**To participate in our bounty program, visit the [Swarms Bounty Program Page](https://swarms.ai/bounty).** Let's build the future together!
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## Bounties for Roadmap Items
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To accelerate the development of Swarms and to encourage more contributors to join our journey towards automating every digital activity in existence, we are announcing a Bounty Program for specific roadmap items. Each bounty will be rewarded based on the complexity and importance of the task. Below are the items available for bounty:
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1. **Multi-Agent Debate Integration**: $2000
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2. **Meta Prompting Integration**: $1500
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3. **Swarms Class**: $1500
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4. **Integration of Additional Tools**: $1000
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5. **Task Completion and Evaluation Logic**: $2000
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6. **Ocean Integration**: $2500
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7. **Improved Communication**: $2000
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8. **Testing and Evaluation**: $1500
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9. **Worker Swarm Class**: $2000
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10. **Documentation**: $500
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For each bounty task, there will be a strict evaluation process to ensure the quality of the contribution. This process includes a thorough review of the code and extensive testing to ensure it meets our standards.
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# 3-Phase Testing Framework
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To ensure the quality and efficiency of the Swarm, we will introduce a 3-phase testing framework which will also serve as our evaluation criteria for each of the bounty tasks.
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## Phase 1: Unit Testing
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In this phase, individual modules will be tested to ensure that they work correctly in isolation. Unit tests will be designed for all functions and methods, with an emphasis on edge cases.
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## Phase 2: Integration Testing
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After passing unit tests, we will test the integration of different modules to ensure they work correctly together. This phase will also test the interoperability of the Swarm with external systems and libraries.
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## Phase 3: Benchmarking & Stress Testing
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In the final phase, we will perform benchmarking and stress tests. We'll push the limits of the Swarm under extreme conditions to ensure it performs well in real-world scenarios. This phase will measure the performance, speed, and scalability of the Swarm under high load conditions.
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By following this 3-phase testing framework, we aim to develop a reliable, high-performing, and scalable Swarm that can automate all digital activities.
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# Reverse Engineering to Reach Phase 3
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To reach the Phase 3 level, we need to reverse engineer the tasks we need to complete. Here's an example of what this might look like:
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1. **Set Clear Expectations**: Define what success looks like for each task. Be clear about the outputs and outcomes we expect. This will guide our testing and development efforts.
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2. **Develop Testing Scenarios**: Create a comprehensive list of testing scenarios that cover both common and edge cases. This will help us ensure that our Swarm can handle a wide range of situations.
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3. **Write Test Cases**: For each scenario, write detailed test cases that outline the exact steps to be followed, the inputs to be used, and the expected outputs.
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4. **Execute the Tests**: Run the test cases on our Swarm, making note of any issues or bugs that arise.
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5. **Iterate and Improve**: Based on the results of our tests, iterate and improve our Swarm. This may involve fixing bugs, optimizing code, or redesigning parts of our system.
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6. **Repeat**: Repeat this process until our Swarm meets our expectations and passes all test cases.
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By following these steps, we will systematically build, test, and improve our Swarm until it reaches the Phase 3 level. This methodical approach will help us ensure that we create a reliable, high-performing, and scalable Swarm that can truly automate all digital activities.
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Let's shape the future of digital automation together!
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--------------------
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# Super-Intelligence Roadmap
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Creating a Super-Intelligent Swarm involves three main phases, where each phase has multiple sub-stages, each of which will require rigorous testing and evaluation to ensure progress towards super-intelligence.
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## Phase 1: Narrow Intelligence
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In this phase, the goal is to achieve high performance in specific tasks. These tasks will be predefined and the swarm will be trained and tested on these tasks.
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1. **Single Task Mastery**: Focus on mastering one task at a time. This can range from simple tasks like image recognition to complex tasks like natural language processing.
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2. **Task Switching**: Train the swarm to switch between different tasks effectively. This includes being able to stop one task and start another one without any loss in performance.
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3. **Multi-tasking**: The swarm should be capable of performing multiple tasks simultaneously without any degradation in performance.
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## Phase 2: General Intelligence
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In this phase, the swarm will be trained to handle a variety of tasks that were not part of the original training set.
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1. **Transfer Learning**: The swarm should be able to transfer knowledge learned in one context to another context. This means being able to apply knowledge learned in one task to a different but related task.
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2. **Adaptive Learning**: The swarm should be capable of adapting its learning strategies based on the task at hand. This includes being able to adjust its learning rate, exploration vs exploitation balance, etc.
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3. **Self-Learning**: The swarm should be able to learn new tasks on its own without any external guidance. This includes being able to understand the task requirements, find relevant information, learn the task, and evaluate its performance.
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## Phase 3: Super Intelligence
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In this phase, the swarm will surpass human-level performance in most economically valuable work. This involves the swarm being able to solve complex real-world problems, make accurate predictions, and generate innovative solutions.
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1. **Complex Problem Solving**: The swarm should be able to solve complex real-world problems. This includes being able to understand the problem, identify relevant information, generate solutions, evaluate the solutions, and implement the best solution.
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2. **Predictive Abilities**: The swarm should be able to make accurate predictions about future events based on past data. This includes being able to understand the data, identify relevant patterns, make accurate predictions, and evaluate the accuracy of its predictions.
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3. **Innovation**: The swarm should be able to generate innovative solutions to problems. This includes being able to think creatively, generate novel ideas, evaluate the ideas, and implement the best idea.
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4. **Self-improvement**: The swarm should be capable of improving its own capabilities. This includes being able to identify areas of weakness, find ways to improve, and implement the improvements.
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5. **Understanding**: The swarm should be able to understand complex concepts, make inferences, and draw conclusions. This includes being able to understand natural language, reason logically, and make sound judgments.
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Each of these stages will require extensive testing and evaluation to ensure progress towards super-intelligence.
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# Reverse-Engineering Super-Intelligence
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To reach the Phase 3 level of super-intelligence, we need to reverse engineer the tasks that need to be completed. Here's an outline of what this might look like:
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1. **Setting Success Metrics**: For each stage, define clear success metrics. These metrics should be quantitative and measurable, and they should align with the objectives of the stage.
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2. **Identifying Prerequisites**: Determine what needs to be in place before each stage can begin. This could include certain capabilities, resources, or technologies.
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3. **Developing Training Programs**: For each stage, develop a comprehensive training program. This should include a variety of tasks that will challenge the swarm and push it to
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develop the necessary capabilities.
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4. **Creating Testing Protocols**: Develop rigorous testing protocols for each stage. These protocols should test all aspects of the swarm's performance and they should be designed to push the swarm to its limits.
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5. **Iterating and Improving**: Based on the results of the tests, iterate and improve the swarm. This could involve adjusting the training program, modifying the swarm's architecture, or tweaking its learning algorithms.
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6. **Moving to the Next Stage**: Once the swarm has met the success metrics for a stage, it can move on to the next stage. This process continues until the swarm has reached the level of super-intelligence.
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This process will require a significant amount of time, resources, and effort. However, by following this structured approach, we can systematically guide the swarm towards super-intelligence.
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@ -1 +1 @@
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from swarms.agents.swarms import WorkerNode, BossNode, tools, vectorstore, llm, boss_node, worker_node
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from swarms.agents.swarms import WorkerNode, BossNode, tools, vectorstore, llm, Swarms
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