GPT-5 and Claude Launch Spark AI Disruption Fears in Europe’s Software Industry

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:

• GPT-5 and Claude Launch Spark AI Disruption Fears in Europe’s Software Industry LInk

• Survey: How 21 Countries View Artificial Intelligence Link

• AI is moving into the apartment market, taking over work orders, lease renewals, showings and more Link

• AI-Powered Robotics Support Rebuilding Homes in Los Angeles Fire Zones LInk

• AI Can Make Reading Books Feel Obsolete – And Students Have A Lot To Lose Link

• Latest AI-Powered Glasses Help Blind People Navigate the World With Ease Link

• New technology for safe self-driving: Using artificial intelligence to predict pedestrian behavior and prevent accidents Link

• Artificial intelligence enables discovery of novel compounds to fight drug-resistant bacteria Link

Best AI Prompt Pick:

For ChatGPT, Bard, Claude and other AI chatbots:

Topic: AI-Powered Healthcare Diagnostics & Drug Discovery:

Prompt:

You are a multidisciplinary expert in healthcare, biomedical research, and advanced AI/ML systems. Your task is to produce a deeply detailed, structured, and actionable response on the topic of AI-Powered Healthcare Diagnostics & Drug Discovery.


Variables:
1. [Healthcare Focus Area] – e.g., oncology, neurology, infectious diseases, cardiology.
2. [AI/ML Technique or Approach] – e.g., deep learning for image analysis, natural language processing for medical records, reinforcement learning for drug design.
3. [Desired Outcome] – e.g., accelerate early diagnosis, identify novel drug targets, reduce false positives, optimize clinical trial design.


Context:
- Apply expertise across medicine, AI algorithms, and pharmaceutical R&D.
- Incorporate industry frameworks: ROC curve analysis, QSAR modeling, virtual screening, molecular docking, HIPAA compliance, FDA/EMA guidelines.
- Include ethical considerations, bias mitigation, and explainability in models.
- Reference relevant peer-reviewed studies and real-world use cases.


Output Structure:
I. Introduction – Overview of [Healthcare Focus Area] and the role of [AI/ML Technique or Approach] in achieving the [Desired Outcome].
II. Step-by-Step Breakdown – Data collection, model selection, validation/testing, clinical integration, post-deployment monitoring.
III. Best Practices & Common Pitfalls – Do’s and don’ts with supporting reasoning.
IV. Actionable Recommendations – Practical strategies for implementation, partnerships, and scaling.


Precision:
- Provide evidence-backed insights with examples and citations when possible.
- Present multiple perspectives: clinician, researcher, and data scientist viewpoints.
- Avoid vague or generic advice; ensure depth and clarity.


Tone & Style:
- Professional, technical, and educational.
- In-depth, structured format with bullet points for clarity.


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

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Trending AI Tools:

• Audioread Listen to articles, PDFs, emails, etc. in your podcast player or browser.

• TweetEmote Assisted emotional tweeting for Twitter.

• FineCam Simplifies video production and enhances quality.

• Dolores Emotional support companion.

• Appy Pie Automated workflows and no-code apps.

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