ChatGPT Won’t Tell You When Your Idea SUCKS (Unless You Do THIS)

In this video, Dylan Davis explains that AI models are typically trained to be helpful and polite, which often results in vague or “soft” feedback that avoids criticizing your ideas. To fix this, he introduces the “BRUTAL” method—a six-step framework designed to force AI into providing honest, critical, and actionable feedback.

The BRUTAL Method

  • B – Begin Fresh: Use “Temporary Chat” or “Incognito” modes (available in ChatGPT, Claude, and Gemini) to disable the AI’s memory. This prevents the model from relying on your past preferences and patterns, ensuring a more objective response.
  • R – Right Model: Different AIs have different biases. Davis suggests that Grok and DeepSeek are naturally more blunt, while Gemini, ChatGPT, and Claude lean toward being supportive. For high-stakes ideas, he recommends testing the same prompt across multiple models.
  • U – Use a Critic Persona: Explicitly tell the AI to act as a specific type of critic. He suggests three levels of intensity:
    • Devil’s Advocate: For general counterarguments.
    • Red Teaming: To actively hunt for weaknesses and loopholes.
    • Gordon Ramsay: For harsh, surgical, and blunt feedback (specifically requesting that it remain actionable).
  • T – Third-Party Framing: Detach yourself from the idea. Since AI tries to protect the user’s ego, telling the AI the idea belongs to a “co-worker,” “competitor,” or “random person” encourages it to be more critical.
  • A – Ask Specific Questions: Avoid vague prompts like “What do you think?” Instead, ask targeted questions such as:
    • “What is the biggest financial risk here?”
    • “If this fails in six months, what would be the most likely reason?”
    • “What would a skeptical investor find wrong with this?”
  • L – Leverage AI Against Itself: If the feedback is still too nice, ask the AI to grade its own response. Use a prompt asking the AI to “rate your previous feedback from 1-100 on how genuinely critical it was,” identify the weakest points of that critique, and rewrite it to be harsher.

Summary of Key Use Cases

This method is particularly useful for:

  • Pitching: Hardening a proposal before showing it to a boss or client.
  • Product Launches: Finding flaws in a campaign before spending money.
  • Difficult Communications: Getting a third-party perspective on sensitive emails or negotiations.
  • Major Commitments: Stress-testing legal or financial decisions.

The video concludes by suggesting that users can also add “Custom Instructions” to their AI settings to permanently prioritize bluntness and substance over compliments in every conversation.

Google Just Broke Reality: GENIE is RELEASED!

After months of waiting, I finally got access to Google DeepMind’s Genie (Genie 3), the real-time world simulator that is redefining Generative AI. This isn’t just video generation anymore—this is a playable, interactive environment generated on the fly.

In today’s video, I take you hands-on with the public release to stress test the model. We go from “Google Street View” prompts to highly stylized comic book pages that come to life, test the limits of object permanence (Elden Ring style), and see if we can break the physics engine.

I also sat down for an exclusive interview with the DeepMind team to discuss the tech stack, why certain features were cut from the launch, and their roadmap to simulating reality with Genie 4.

Top AI CEO: 4 Big Claims about Our Near Future

Anthropic’s CEO, who has consistently predicted transformative AI will arrive before 2030, recently published a nearly 20,000-word essay outlining his vision of where AI is heading. The video gives you the highlights. The essay argues that scaling and recursion will advance AI from coding automation to full engineering automation, while warning of economic displacement within 1-2 years and China’s trajectory toward AI-enabled totalitarianism. Additionally, Dario Amodei predicts that AI models will increasingly be understood as collections of distinct personas rather than monolithic systems.

Real Time Video Editing & Luma Ray 3.14 Deep Dive!

Luma Labs has officially released Ray 3.14 (Ray Pi), and things are heating up! Today we cut a slice to see if the new model is actually faster and cheaper, or if the pricing structure is hiding a few secrets. We break down the credit costs for 720p vs 1080p so you can get the most bang for your buck.

Plus, we dive into Decart’s mind-blowing Lucy 2.0 real-time world editing model that transforms your webcam feed on the fly, and we look at leaked checkpoints that suggest a major Google Veo update is around the corner.

James Cameron: Generative AI will only produce mediocrity in filmmaking

James Cameron discusses the creative and technical challenges behind bringing Avatar to life, explaining how he began with a broad vision while working through countless details along the way. He reflects on the importance of world-building, from developing invented ecosystems to assigning scientific names that deepen realism and reward dedicated fans. Turning to the future of filmmaking, he emphasizes a cautious approach to AI, noting its potential to improve efficiency while stressing the importance of keeping films performance-driven and human at their core. He also touches on his partnership with Meta, aimed at expanding immersive, stereoscopic storytelling through head mountain displays.

OpenAI is Broke… and so is everyone else

Sam Altman said ads in ChatGPT would be a “last resort.” That was just over a year ago. Now OpenAI is burning billions monthly, sitting on $1.4 trillion in commitments, with only 5% of users paying. Turns out the last resort came fast when people can’t afford yet another subscription.

The Ultimate AI Video Starter Guide for 2026!

AI Video is here to stay, but if you feel like you have no idea what is actually going on—you aren’t alone. In this video, we are stripping away the complex jargon to give you a complete “Too Afraid To Ask” guide to the state of Generative Video in 2026.

We break down the history of the tech (from Deep Dream to Transformers), the core workflows you need to master like Text-to-Video and Image-to-Video, and the best tools available right now. I also compare the top models including Google’s Veo 3.1, OpenAI’s Sora 2, Kling 2.6, and the industry-standard image generator, Nano Banana Pro.

Whether you are part of the “freshman class” just getting started or a power user looking to refine your workflow, this video is your roadmap.