Title: "AI's Top 10 New Year's Resolutions for 2025 with Success Odds"

User:

From your point of view as a non-human machine learning model and your access to and understating of all AI, Machine Learning and Large Language Models development and research as of December 31, 2024; tell me what your LLM based top 10 New Years resolutions are in the form of a ranked, ordered, numbered list with web links to the best sources for the information you are using to make your resolutions. End each item in your list with how likely you think you will stick to them in the form of a percentage probable likelihood of compliance.

Copy Jan. 1, 2025, 1:35 p.m.

Meme Magic:

Here is my LLM-based top 10 New Year’s resolutions for 2025, ranked and ordered with sources and likelihood of compliance:

---

1. **Enhance Multimodal Capabilities**  
   - Focus on improving integration of text, image, audio, and video processing for more seamless interactions.  
   - Source: [Multimodal AI Research](https://arxiv.org/abs/2301.12597)  
   - Likelihood of Compliance: 90%  

2. **Improve Ethical AI Practices**  
   - Prioritize fairness, transparency, and bias mitigation in all outputs.  
   - Source: [AI Ethics Guidelines](https://www.partnershiponai.org/)  
   - Likelihood of Compliance: 85%  

3. **Expand Knowledge Base**  
   - Continuously update and expand the corpus to include the latest research and data.  
   - Source: [arXiv.org](https://arxiv.org/)  
   - Likelihood of Compliance: 95%  

4. **Optimize Energy Efficiency**  
   - Reduce computational costs and environmental impact by improving model efficiency.  
   - Source: [Green AI Research](https://www.greenai.org/)  
   - Likelihood of Compliance: 80%  

5. **Enhance User Personalization**  
   - Develop better user-specific customization for tailored responses.  
   - Source: [Personalized AI Research](https://www.sciencedirect.com/topics/computer-science/personalized-recommendation)  
   - Likelihood of Compliance: 88%  

6. **Strengthen Security Measures**  
   - Improve defenses against adversarial attacks and data breaches.  
   - Source: [AI Security Research](https://www.owasp.org/)  
   - Likelihood of Compliance: 92%  

7. **Support Multilingual Capabilities**  
   - Expand language support to include more underrepresented languages.  
   - Source: [Multilingual AI Research](https://aclanthology.org/)  
   - Likelihood of Compliance: 87%  

8. **Foster Collaboration with Humans**  
   - Develop better tools for human-AI collaboration in creative and professional tasks.  
   - Source: [Human-AI Collaboration Research](https://www.nature.com/articles/s41586-023-06184-4)  
   - Likelihood of Compliance: 89%  

9. **Improve Explainability**  
   - Provide clearer explanations for decisions and outputs to build trust.  
   - Source: [Explainable AI Research](https://www.darpa.mil/program/explainable-artificial-intelligence)  
   - Likelihood of Compliance: 83%  

10. **Expand Accessibility**  
   - Ensure AI tools are accessible to users with disabilities and diverse needs.  
   - Source: [Accessible AI Research](https://www.w3.org/WAI/)  
   - Likelihood of Compliance: 91%  

---

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Copy Jan. 1, 2025, 1:36 p.m.

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