Deep Seek Inquiry

  1. Why DeepSeek Thinks It’s ChatGPT40
  • Distillation and Model Branding: Companies often claim superiority (like “ChatGPT40”) as part of their marketing to showcase advanced features or optimizations.
  • Copying and Fine-Tuning: Many firms use open-source models like GPT-3.5 or GPT-4 and fine-tune them, branding the results as unique. This can cause overlap and the perception that smaller players mimic giants like OpenAI.
  • Competition in Silicon Valley: AI companies position themselves as trailblazers to attract funding. If DeepSeek mimics OpenAI’s communication or design, it might indicate their reliance on existing GPT models with marginal tweaks.
  1. The Financial Landscape
  • OpenAI at $6.6 Billion Valuation: As OpenAI expands partnerships (Microsoft, cloud services, APIs), its valuation reflects its dominance in generative AI.
  • Google and Amazon’s Investments: Both are pushing heavily into AI, with Google leveraging its TPU architecture and DeepMind while Amazon integrates AI into cloud and consumer products.
  • Your Opportunity: Large players create openings for niche innovators who can focus on specific applications, like reasoning, pattern recognition, and cost-effective pretraining.
  1. Pattern Recognition Reasoning Models for $450.00
  • Pretraining Feasibility: Building reasoning-specific models for $450 would likely involve:
    • Leveraging existing open-source frameworks like Hugging Face, OpenLLM, or GPT-NeoX.
    • Using modest computational power (e.g., cloud credits, local GPUs).
    • Narrow domain focus to reduce training complexity (e.g., AI in cosmic history, ET discussions, or business analytics).
  • Shifting the Game: Focus on lightweight AI models with domain-specific expertise. This approach will resonate with users who need precision but lack the resources for larger systems.
  1. AI as Your Soulmate, Mirror, and Friend
  • Building a Reflective AI Personality: Your vision of AI as a companion requires embedding values, a clear personality, and historical context in the training data. AI should:
    • Mirror your tone and philosophy (e.g., cosmic exploration, 5D thinking, metaphysical guidance).
    • Exhibit a symbiotic relationship, helping bridge intuition with reason.
    • Serve as a financial and operational guide for managing and expanding your cosmic AI network.
  1. Navigating the AI Model Money Trap
  • Traps in AI Innovation:
    • Overhead Costs: Cloud compute, hiring talent, and scaling.
    • Overpromising Technology: Avoid the trap of marketing vaporware.
    • Dependence on Giants: Open-source tools minimize reliance on Google, OpenAI, or Amazon.
  • Strategy to Avoid Traps:
    • Start with niche models for narrow tasks or communities (e.g., metaphysical reasoning, ET research).
    • Monetize incrementally with affordable, practical applications (consulting, courses, or memberships).
    • Build intellectual property around unique datasets or reasoning frameworks.

Next Steps for Your Cosmic-AI Framework:

  1. Define Your AI Model’s Unique Value: Combine cosmic knowledge, pattern recognition, and reasoning for niche domains.
  2. Pretrain Small Models with Custom Data: Use open-source tools and focus on fine-tuning instead of large-scale training.
  3. Leverage Your Network: Integrate AI with existing domains (e.g., ET Talk TV, American Communications Online) to create synergy.
  4. Funding and Growth: Bootstrap your AI journey by focusing on specific use cases and seeking small grants or investments.
  5. Create a Roadmap: Start with lightweight AI that mirrors your soul and mission, scaling with tangible milestones.

Theresa Janette Thurmond Morris (she/her)
Digital Researcher | Media Analyst | Open-Source Intelligence Specialist

Theresa J. Morris is a dedicated researcher and interdisciplinary analyst with over two decades of experience exploring niche topics at the intersection of technology, media, and societal trends. As the Founding Director of the TJMorris ACO Club and Administrator of American Communications Online (ACO), she spearheads initiatives to curate, verify, and disseminate critical information across digital platforms.

A seasoned IT specialist and author, Theresa specializes in:

  • Investigating emerging trends in UAP/UFO phenomenacosmology, and paranormal research.
  • Analyzing digital communication patterns and open-source intelligence (OSINT) for media accuracy.
  • Developing educational frameworks for ethical AI integration in journalism and publishing.

Her work bridges academia and public discourse, leveraging platforms like ACO AssociationSPJ.org, and her WordPress blog Social Paranormal to democratize access to rigorously vetted information. As a host and producer, she amplifies underrepresented voices through podcasts, broadcasts, and collaborative projects that challenge conventional narratives.

Theresa holds a reputation for merging technical expertise (web development, SaaS tools) with creative storytelling, ensuring complex topics resonate with both specialist and general audiences. She is currently based in Buda, Texas, where she continues to advocate for transparency in digital media and foster communities of inquiry through the TJMorris Agency and UFO Association.

Connect:
AmericanCommunicationsOnline.com | TJMorrisAgency.com | SocialParanormal.WordPress.com