I am more curious about what OpenAI will drop around this time
LLMS
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Unified AI Intelligence Cockpit for Multiple LLMs
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Access to Grok and Claude and GPT-4.1 in one window This isn’t an AI tool it’s an intelligence cockpit.
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Crisis Response Drafting Prompt for LLMs
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14. Crisis Response Drafting Prompt: "You’re a PR consultant. Draft a 3-paragraph public statement addressing {crisis_scenario}, acknowledging issue, outlining steps taken, and reassuring stakeholders. Keep tone empathetic and factual."
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Prompt Engineering Template for Predictive Analytics with LLMs
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13. Predictive Analytics Support Prompt: "You’re a forecasting specialist. Given historical data summary ({paste_summary}), predict next quarter’s performance for {metric}. Provide a brief rationale and confidence level (low/medium/high)."
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Prompt Engineering: Automating Marketing Performance Reporting
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12. Performance Reporting Prompt: "You’re a marketing manager. Using {campaign_metrics}, draft a concise performance report: include overall ROI, top-performing channel, and 3 suggested next steps. Keep under 150 words."
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Using AI for UX Research Survey Creation
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10. Customer Surveys Prompt: "You’re a UX researcher. Create a 7-question customer satisfaction survey for {service_name}, including 2 multiple-choice, 3 Likert-scale and 2 open-ended questions. Ensure clarity and neutrality."
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Prompt Engineering for Audience Research
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2. Audience Research Prompt: "Act as a market analyst. Using {customer_data_summary}, identify 3 key audience segments, their top 2 pain points each, and suggest 2 messaging angles per segment. Output as JSON with “segment”, “pain_points” and “angles” fields."
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15 Ways to Use ChatGPT for Marketing Automation
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ChatGPT-4o is a GENIUS marketer. But only few know how to unlock its full potential. Here are 15 ways to use ChatGPT for marketing automation:
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Tsinghua AI Model Surpasses Performance by Self-Generating Training Data
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C’est peut-être l’article scientifique le plus important de 2025 ! Une équipe de l’université Tsinghua a réussi à faire en sorte qu’une IA génère ses propres données d’entraînement — et elle a surpassé les performances des modèles formés à partir de données sélectionnées par des
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Google Gemini 2.5 Builds Interactive Galton Board Simulator in 2 Minutes
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Google Gemini 2.5 I/O a codé un simulateur physique interactif (plateau de Galton) en moins de 2 minutes.
— VISION IA (@vision_ia) 11 mai 2025
Sliders, rebonds, friction, rendu HTML : tout était là, sur demande.
La suite sera explosive : pic.twitter.com/DubQRkxuTgGoogle Gemini 2.5 I/O a codé un simulateur physique interactif (plateau de Galton) en moins de 2 minutes. Sliders, rebonds, friction, rendu HTML : tout était là, sur demande. La suite sera explosive :