AI-Based System for Human-Like Sensations

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AI-Based System for Human-Like Sensations

Inspired by a conversation on:

Into the Impossible With Brian Keating

Into the Impossible With Brian Keating

David Deutsch Round 2: We Will Build Humans Before AGI

Host: Brian Keating

Timestamp: 00:01:47 - 00:02:25

Listen to Episode • View Podcast • All Ideas from Into the Impossible With Brian Keating

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Feather Flow

Direct Quote

"Deutsch argues subjective experiences can arise from any system replicating brain-like processing."

Market Gap

Current AI lacks genuine human-like subjective experiences.

As artificial intelligence continues to evolve, the need for machines that can experience sensations similarly to humans is becoming increasingly relevant. Traditional AI systems operate based on algorithms and data but lack the ability to feel or interpret experiences in a human-like manner. This limitation restricts their ability to engage in complex tasks that require empathy, creativity, and nuanced understanding. Current AI models are great at processing information but do not have the capability to truly 'experience' sensations or emotions, which limits their potential in applications such as mental health support, creative writing, and customer service. The market for more advanced AI that can mimic human experiences is growing, as companies seek to create more relatable and effective AI interactions.

Summary

The concept revolves around developing an AI system that can replicate human-like sensations and subjective experiences through advanced computational processes. By focusing on mimicking brain-like processing, this technology aims to create a new class of AI capable of understanding and responding to human emotions and experiences. Potential applications could range from virtual health assistants that provide empathetic support to creative AI that can help in writing, music, and art. This idea can be implemented by building a software platform that utilizes advanced algorithms to simulate human emotions, offering businesses a tool to enhance customer interactions. The target audience includes tech startups, healthcare providers, and creative industries looking to leverage AI for deeper engagement with users.

Categorization

Business Model
SaaS
Target Founder
Technical
Difficulty
High
Time to Revenue
> 1 year
Initial Investment
> $10,000

Scores

Clarity
8/10
Novelty
9/10
Feasibility
5/10
Market Potential
7/10
Evidence
6/10
Overall
7/10
Found on September 11, 2025 • Analyzed on September 11, 2025 1:34 PM

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How should I validate this saas idea before building it?

2:34 PM

Great question! For a saas idea like this, I'd recommend starting with these validation steps:

  1. Customer interviews: Talk to Technical to understand their pain points
  2. MVP approach: Build a simple landing page to test demand
  3. Competitor analysis: Research existing solutions and identify gaps

Would you like me to help you create a specific validation plan for your high difficulty idea?

2:35 PM

Yes, and what about the technical implementation? Should I build this myself or hire a team?

2:36 PM

Based on your idea's complexity and > 1 year, here's my recommendation:

Technical Strategy:

  • Start with no-code tools for rapid prototyping
  • Consider your technical background and available > $10,000
  • Plan for scalability from day one

I can help you create a detailed technical roadmap and resource allocation plan...

2:37 PM

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