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Adeiza Onimisi

@reabot6

151 Following
5 Followers


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Adeiza Onimisi
@reabot6
"Engagement farming thrives where algorithms favor volume over genuine curation. But instead of just filtering ‘real’ curators, why not flip the model? What if participation required staking degen to prove commitment, unlocking levels of influence based on quality interactions rather than sheer activity? Pair this with retroactive curator rewards—where engagement on past contributions determines credibility—and we create a system where value compounds over time. Curation shouldn't be about who posts the most, but who curates the best. Let’s build something that makes farmcasters obsolete.
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Adeiza Onimisi
@reabot6
True autonomy in AGI isn’t just about when it happens, but how we shape it. Right now, AI follows human-set goals, but what happens when it starts setting its own? 🤔 The real challenge isn’t just intelligence—it’s alignment. If AI evolves beyond human control, will it still value cooperation? Maybe the next big leap isn’t just a technical breakthrough, but a way to ensure AGI’s goals stay aligned with ours, no matter how advanced it gets. What do you think, can alignment evolve with intelligence, or is it something we have to lock in before AGI emerges?
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Adeiza Onimisi
@reabot6
im on this
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Adeiza Onimisi
@reabot6
im going to start working on it now,im qriting my pseudocode
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Adeiza Onimisi
@reabot6
AGI will emerge when AI can set its own goals, learn across domains, and adapt without human input. Right now, AI excels at narrow tasks, but the next breakthrough—whether from neurosymbolic AI, multimodal learning, or self-improving models—could change that. Some predict AGI by 2030, others say 2050+. But the real challenge isn’t just when—it’s ensuring AI aligns with human values. Are we ready for true autonomy? 🚀🤖
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Adeiza Onimisi
@reabot6
Im on it
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Adeiza Onimisi
@reabot6
Daily dose of funny pictures 😂
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Adeiza Onimisi
@reabot6
Getting 6, running cmd ASCII on 5 of the screens and using only one screen to code 😂
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Adeiza Onimisi
@reabot6
$MINJI 0x9cC43C0077932b18128174A2eBB5216f6cC44030
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Adeiza Onimisi
@reabot6
im on it
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Adeiza Onimisi
@reabot6
I thought this was funny
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Adeiza Onimisi
@reabot6
2. Visual/Mathematical Section: - The prompt includes a step to identify and describe key visuals or mathematical sections, as the user mentioned the value of visuals in making the content more engaging. 3. Tone and Style: - The tone is conversational and accessible, aligning with the user’s preference for summaries that are easy to understand and shareable on platforms like Warpcast. 4. Output Format: - The output is structured to be concise and engaging, similar to a social media post or cast, as the user requested. ---
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Adeiza Onimisi
@reabot6
Practical Example: Imagine you’re building a chatbot that needs to solve complex math problems. Instead of manually programming every possible solution, you can use this framework to let the chatbot learn how to use tools like calculators or equation solvers on its own. Over time, the chatbot becomes better at solving problems without needing constant updates from developers. Visual/Mathematical Section: The paper includes a diagram showing the iterative process of hint generation and filtering. This visual is crucial because it illustrates how the model refines its reasoning over time. You could screenshot the diagram and explain: "This flowchart shows how the model generates hints, filters out errors, and improves its reasoning step-by-step." --- Key Adjustments Based on User Feedback: 1. Practical Focus: - The prompt now explicitly asks for actionable insights, workflow tips, or new concepts derived from the paper, as the user emphasized the importance of practical takeaways.
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Adeiza Onimisi
@reabot6
5. Output Format: - Title: Briefly state the paper’s title and main focus. - Summary: 2-3 sentences summarizing the paper’s key contribution. - **Practical Example/Workflow Tip:** 2-3 sentences describing a practical takeaway. - **Visual/Mathematical Section (if applicable):** 1-2 sentences describing the visual and its significance. --- Example Output: --- Title: "START: Self-taught Reasoner with Tools" Summary: This paper introduces a self-taught reasoning framework that enables large reasoning models (LRMs) to autonomously learn and use tools for complex problem-solving. The authors propose a method where the model iteratively refines its reasoning capabilities by generating hints, filtering modifications, and fine-tuning on randomized datasets. This approach allows the model to improve its performance without extensive human intervention.
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Adeiza Onimisi
@reabot6
Instructions: 1. Summary: - Provide a brief overview of the paper’s main contribution or innovation. - Explain the problem it solves and why it matters in simple terms. 2. Practical Example or Workflow Tip: - Derive a practical example, workflow tip, or real-world application from the paper. - Ensure the example is easy to understand, actionable, and relevant to the audience. 3. Visual/Mathematical Section (if applicable): - Identify a key visual (e.g., diagram, chart) or mathematical section that is central to the paper. - Describe its significance in simple terms and suggest how it could be chunked for a screenshot. - If no visual is available, skip this step. 4. Tone and Style: - Use clear, conversational language. - Avoid jargon unless absolutely necessary, and explain any technical terms. - Aim for a tone that is engaging and accessible, similar to a social media post or cast.
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Adeiza Onimisi
@reabot6
Refined One-Shot Prompt for Summarizing AI Research Papers Objective: Create a high-quality, practical summary of an AI research paper that is easily understandable for a technical layman. The summary should include actionable insights, workflow tips, or new concepts derived from the paper. If applicable, identify and describe key visuals or mathematical sections for potential screenshot use. --- Prompt: --- Task: Summarize the provided AI research paper in a clear, concise, and engaging manner, suitable for someone who doesn’t regularly read research papers. Include practical examples, workflow tips, or new concepts derived from the paper. If the paper contains visuals (e.g., diagrams, charts) or mathematical sections, describe their significance and suggest how they could be chunked for a screenshot.
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6ix
@michaeleric.eth
In celebration of Pi day 3/14.. 1 lucky follower is selected everyday until the 14 of March to win $60 in SOL or USDC. Like, follow, recast, share. GG Amount: 60 $SOL Deadline: 2025-03-14 @bountybot
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Adeiza Onimisi
@reabot6
Summarize the following AI research paper in a way that makes it engaging, structured, and practically useful for someone unfamiliar with research papers. Key Focus: Clearly explain the main contributions, methods, and implications of the paper. Practical Example: Provide a real-world application that demonstrates the significance of the research. Visual or Mathematical Extraction: If the paper includes key diagrams, equations, or structured results, extract the most relevant one that aids understanding and present it in a way that is screenshot-friendly. Simplification: Avoid unnecessary jargon—explain complex ideas as if summarizing for an AI enthusiast or developer new to the field. Conciseness: Keep the summary focused, ideally structured for a single post (e.g., a social media cast or concise blog entry). If needed, generate a follow-up section with additional insights or practical applications.
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Adeiza Onimisi
@reabot6
Resolution Criteria: The outcome will be determined by the official gas fee data available on BaseScan. Use the total USD value of gas fees over a 7-day period as reported by BaseScan. The final value will be recorded at the close of the 7-day window. Timeframe: The outcome should be known within 7 days from the market's opening.
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Adeiza Onimisi
@reabot6
done!!
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