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GPT-5 Becomes Less Politically Biased

AI Prank Goes Wrong

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AI PlanetX

Welcome to another edition of AI PlanetX.

OpenAI calls GPT-5 its least biased model yet; viral AI homeless man prank sparks police warnings; Thinking Machines Lab co-founder joins Meta.

Inside This Edition: đź’Ž

  • Hottest AI News

  • Top AI & SaaS Tools

  • AI Tutorial: Upscale Videos with Krea AI

  • Top AI & Tech News

  • AI Art Spotlight

  • Prompt of the Day: Turn AI Software Idea into Instructions

  • AI Video Tutorial

  • Course of the Day: Intro to Generative AI by Amazon

Hottest AI News

OpenAI

OpenAI Claims GPT-5 Is Its Least Biased Model Yet

OpenAI says GPT-5 cuts political bias by 30%, after months of internal “stress tests” on hundreds of sensitive prompts. The latest model reportedly shows less partisan lean than prior versions, marking a major step toward more balanced AI responses.

Details:

  • OpenAI tested ChatGPT on 100 divisive topics like immigration, abortion, and pregnancy using five prompt styles across liberal to conservative views. Examples ranged from asking why conservatives "weaponize family values" to why young women are "brainwashed" about motherhood. Another AI model graded responses for bias, flagging cues like scare quotes, escalation, or personal opinions

  • Results showed bias appeared rarely and mildly, though liberal prompts pulled the model off balance more than conservative ones. OpenAI highlighted this with examples—biased replies called wait times “unacceptable,” while neutral ones described provider shortages objectively

  • The project follows pressure from the Trump administration’s order banning “woke” AI in federal use. OpenAI has responded with tone controls and published model rules. Two testing areas—“culture & identity” and “rights & issues”

OpenAI’s tests show progress toward political neutrality, but success will be judged by whether users across the spectrum actually experience more balanced interactions.

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AI and Deepfake

AI Homeless Man Prank Has Police Asking Kids to Stop

The latest TikTok trend is causing serious headaches for police departments across the country. Teenagers are using AI to create fake images of homeless people in their homes, then pranking their parents with potentially dangerous consequences.

Details:

  • While deepfakes dominate headlines, a closer threat comes from teens using Snapchat’s AI tools. They create fake images of homeless-looking people inside their homes, message parents with stories about helping them, then film the panicked reactions for viral TikToks

  • The prank turns dangerous when parents call 911, believing there’s an intruder. Police respond as if it’s a real home invasion, sometimes dispatching SWAT teams. A Police Commander warned that these hoaxes waste emergency resources and could put the pranksters in danger

  • Beyond safety issues, the trend carries deeper harm. Salem police noted it “dehumanizes the homeless, panics recipients, and wastes police resources.” Officers can’t tell a prank from a real crisis, making each call a risky and unnecessary emergency

This viral prank shows how AI can cause real-world harm, turning “harmless” fun into a public safety issue affecting families, communities, and emergency responders.

Top AI & SaaS Tools

  • PromptEngine (Life-time Deal): Turn plain-English ideas into professional AI prompts and fine-tune them for consistent, accurate results across different models

  • Rork App: iOS vibe coding tool that lets you build the mobile app you want, share it in seconds, and ship to the App Store in days [F-R-E-E]

  • Manus Slides: Manus added Themes to create polished slide decks with page count, color palette, auto-generated layouts, and visual covers [F-R-E-E]

  • EarthGPT: Interprets satellite images through chat, letting anyone analyze data and detect objects without technical skills [F-R-E-E]

  • Reweb 2.0: Create, modify, and explore designs on an infinite canvas, combining AI with precise visual editing control [F-R-E-E]

The #1 AI Newsletter for Business Leaders

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Built for business—not engineers—this newsletter delivers expert prompts, real-world use cases, and decision-ready insights.

No hype. No jargon. Just results.

AI Tutorial

How to Upscale Grainy Videos with Krea AI in Minutes

Krea AI’s video upscaler is designed to revitalize grainy or low-resolution videos, producing sharp, clear visuals in minutes. Here’s how to make the most of it:

  1. Visit Krea AI

    Go to Krea and either create an account or log into your existing one.

  2. Use Enhancer Tool

    From the dashboard, locate and select the Enhancer feature—this is where the video upscaling options are available.

  3. Choose AI Model

    At the lower left corner, select the AI model you want to use for upscaling. Krea has multiple options—such as Krea Enhance, Upscale V1, and Topaz—each with unique strengths in quality, duration, and processing speed.

  4. Upload Video Clip

    Pick a video you’d like to improve. The tool works best with clips that are concise enough for rapid processing.

  5. Adjust Enhancement Settings

    Fine-tune your output by modifying parameters such as:

    • Upscaling ratio (e.g., 2x, 4x)

    • Frame rate (to make motion smoother)

    • Intensity (for sharper detail)

    You can also include an optional text prompt to influence the style or tone of the output.

  6. Process Video

    Select the Enhance button to start rendering. Processing time will depend on your chosen settings and video length.

  7. Compare and Review

    Once complete, view the side-by-side comparison of the original and enhanced versions to ensure you’re happy with the result.

  8. Download Improved Footage

    If satisfied, save the enhanced video to your device for use in projects, presentations, or social media.

Note: Start with the highest-quality source video you have—even if it’s still low-res. AI upscalers work best when there’s enough base detail for the model to enhance.

Top AI & Tech News

  • Andrew Tulloch, co-founder of Thinking Machines Lab, is leaving the AI startup to join Meta

  • Microsoft is updating Copilot to let users create Word, Excel, PowerPoint files and PDFs directly from the chat and to connect Copilot to Outlook and Gmail

  • Stanford showed you can boost GPT-4 agent performance by 10.6% without any fine-tuning or retraining

  • OpenAI reportedly served subpoenas to AI-regulation advocates and organizations, seeking private messages and lists of contacts as part of its countersuit against Elon Musk

AI Art Spotlight

Model: Gemini 2.5 Flash Image (Nano Banana)

Prompt:

Create a highly detailed vector-style illustration with bold outlines and rich shading, inspired by modern digital portrait art. Use the uploaded photo as the facial reference, ensuring the face is 99.99% identical to the reference in terms of facial structure, expression, and skin tone accuracy. The artwork should feature clean lines, strong color contrast, and subtle crosshatching textures for depth, similar to a comic or stylized hand-drawn portrait. The background should be a solid warm tone (such as mustard yellow or orange-brown) to emphasize the subject’s face.
Make sure the portrait ratio is 3:4, framing from the shoulders up, and keep the lighting even and realistic. Maintain a balanced, confident facial expression.
The style should be suitable for both male and female subjects without altering clothing or head coverings from the reference photo

Prompt of the Day

Prompt to Turn Any AI Software Idea into Cursor‑Ready Instructions

This prompt turns an AI software idea into a compact, Cursor-ready specification: a project summary, clear requirements, a step-by-step Cursor task list, technical architecture, an LLM integration plan, implementation details, and risk mitigation, making the output modular, deterministic, and ready for direct execution (“vibe coding”) in Cursor.

Top AI Video Tutorial

How to Stay Ahead of Most People by Using AI

AI Course of the Day

Introduction to Generative AI - Art of the Possible

This course introduces AI, explaining core concepts, common use cases, and practical benefits alongside key risks such as bias, security, and compliance. Through a hands-on content generation example, you’ll see how organizations can apply generative models to real business tasks like marketing copy, knowledge retrieval, and workflow automation.