First Song Generated by AI on a Quantum Computer!

Welcome to TipSeason Trending AI Newsletter.

In today’s edition, we will cover:

• Trending AI News

• Trending AI Tools

• Best AI Prompt pick for ChatGPT / Gemini / any AI

Also welcome to the new subscribers who joined us this week and staying on top of AI Trends.

Trending AI News:

• Listen to the First Song Generated by Artificial Intelligence on a Quantum Computer! Link

• What's Really Artificial About AI is AI Itself Link

• The Gmail app will now create AI summaries whether you want them or not Link

• Should you still learn a second language if AI can translate for you? Link

• DeepSeek’s latest AI model a ‘big step backwards’ for free speech Link

• We’re bringing Veo 3 to more countries, and to more users on the Gemini mobile app. Link

• Google holds celebration for new data center in Cedar Rapids Link

• AWS Continues to Add Data Centers to Meet Demand for AI Link

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Best AI Prompt Pick:

For ChatGPT, Bard, Claude and other AI chatbots:

Topic: Exhaustiveness of AI.

Prompt:

I want you to generate an expert-level, comprehensive, and structured analysis on the topic: “Exhaustiveness of AI.”


Variables for customization:
1. [Application Domain]: Specify the use case (e.g., legal research, scientific modeling, healthcare).
2. [Model Type or Class]: Specify the kind of AI being analyzed (e.g., large language model, reinforcement learner, symbolic AI).
3. [Depth of Analysis]: Choose between “executive summary,” “academic deep dive,” or “technical practitioner-level.”


Use the following structure:


1. **Introduction**  
   - Define AI exhaustiveness.  
   - Summarize the significance of the chosen domain, model type, and desired depth of insight.


2. **Step-by-Step Breakdown**  
   - Explain key principles related to AI exhaustiveness in the specified domain.  
   - Analyze how the selected model class approaches comprehensive coverage.  
   - Include frameworks such as PAC learning, No Free Lunch Theorem, coverage testing, etc.  
   - Discuss the influence of dataset bias, training scale, and inference mechanisms on exhaustiveness.


3. **Best Practices & Common Pitfalls**  
   - Identify techniques to improve AI exhaustiveness.  
   - List typical limitations and errors, such as hallucination, lack of domain diversity, or boundary failures.


4. **Actionable Recommendations**  
   - Suggest tools, metrics, or validation approaches for improving or measuring exhaustiveness.  
   - Propose a practical checklist or phased strategy that could be implemented by professionals.


Output tone should be technical and educational. Use in-depth narrative with structured sub-headings and bullets where useful. Prioritize precision, critical analysis, and examples.  


Don’t use AI words like: whether, unleash, unlock, craft, leverage etc. Avoid phrases like: are you looking, whether you are, tired of, struggling to or similar ones.

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Trending AI Tools:

• DocuWriter.ai Auto code docs for collaboration and maintenance.

• AI Engine WordPress plugin for chatbot and content gen.

• ChatBA Generating professional slide decks with minimal input.

• Creasquare Social media content creation and scheduling.

• Yuma AI Streamlining customer support processes.