GPT 4.5: OpenAI's Unheard Cry of Advancement
When people think about artificial intelligence, they usually imagine automation: robots responding to emails, scheduling appointments, or simplifying repetitive tasks. But what if this perspective is limited? What if we’re overlooking AI's true potential?
OpenAI, perhaps unknowingly, took a critical step forward with GPT-4.5, a new version specifically designed to deeply understand how humans think, feel, and interact. Far more than a simple tool, this AI is poised to become something genuinely transformative: a cognitive partner [1].
Think about this for a moment.
Imagine having someone with you who has cognitive capabilities comparable to geniuses like Albert Einstein. Additionally, this person has instant access to virtually all available information in the world. Imagine you could freely converse with them. What would you ask them to do?
Would you really limit their use to answering emails or scheduling tasks? Or would you rather ask them to help reveal hidden talents within yourself, identify innovative business strategies, or uncover opportunities you hadn't noticed before?
This is precisely the true potential of GPT-4.5 and future AIs: not just performing tasks for us, but actively working alongside us, unlocking our hidden potential and guiding us toward goals we might never achieve alone.
Automation: An Important Revolution (But Not Enough)
Automating repetitive tasks is undoubtedly a significant advancement, dramatically enhancing our productivity. Automation helps at scale, saving time, resources, and mental energy. However, perhaps by limiting AI only to these tasks, we’re using an axe to slice an apple instead of cutting down an entire tree. In other words, we might be underestimating the real potential of these technologies, missing out on the opportunity for deeper, more impactful partnerships with AIs.
Dialogical Ontology: A Practical Path
This revolutionary perspective isn't merely theoretical. Practically speaking, it’s structured within a framework known as the Dialogical Ontology of Human-AI Interaction, proposing precisely this kind of relationship: AI as an extension of our own intelligence [2].
Instead of cold, repetitive automation, this new paradigm focuses on genuine, deep, empathetic dialogues between humans and machines. It’s not just an AI answering your questions; it’s an AI helping you ask the right questions. An AI that doesn’t simply automate the trivial but empowers the extraordinary within you.
A Practical Guide: How to Turn AI into Your Cognitive Partner
The real question is: how do we use AI beyond automation and turn it into a thinking partner that expands our intelligence? The answer lies in how we interact with it.
Here’s a structured approach to start leveraging AI as a cognitive extension of yourself:
1. Stop Giving Commands, Start Co-Thinking
Instead of treating AI as a tool for quick answers, invite it to explore ideas with you.
Basic Example:
"List the trends in marketing for 2025." → Too generic and predictable.
"Which marketing trends are likely to fade in the next few years? What patterns might indicate an overlooked shift in the industry?" → Forces AI to analyze and interpret trends rather than just list them.
Advanced Example:
"Based on our previous discussions on differentiation strategies, what unseen patterns could shape the next big industry movement?"
This approach encourages AI to engage in higher-order reasoning, moving beyond basic data retrieval.
2. Use AI to Challenge Your Own Thinking
AI can help identify blind spots and hidden assumptions in your reasoning.
Basic Example:
"How can I be more productive?" → Surface-level advice, often generic.
"What beliefs about productivity might be limiting me without my awareness?" → Encourages AI to reveal psychological and strategic biases.
Advanced Example:
"You’ve seen my previous interactions, what patterns do you notice in how I approach my work? Where am I unknowingly sabotaging my efficiency?"
Instead of seeking validation, this method uses AI as a cognitive mirror, helping uncover gaps in thinking.
3. Measure the Quality of Every AI Interaction
Before accepting an AI’s response, evaluate its depth and relevance.
Basic Checkpoints:
"Did this response provide a perspective I hadn’t considered?"
"Is it tailored to my specific context, or is it generic?"
"Did the AI adjust its responses as I refined my questions?"
Advanced Application:
"If this answer were the foundation for an important decision, what would still be unclear or missing?"
This self-assessment ensures that AI-generated insights are truly adding value, rather than reinforcing existing assumptions.
4. Train AI to Adapt to Your Thought Process
AI can learn to think in your style if you train it properly.
Basic Example:
"Help me make better decisions." → Too vague.
"Based on my previous decision-making patterns, how can I structure my thinking more logically and strategically?" → Forces AI to analyze personal tendencies.
Advanced Example:
"Here are three decisions I made recently, analyze my cognitive patterns and suggest ways to improve my strategic thinking."
This method strengthens adaptive learning, ensuring AI refines responses based on your unique way of thinking.
5. Always End by Evaluating What You’ve Learned
AI’s purpose isn’t just to give answers, it should improve the way you think.
Basic Checkpoints:
"Did this conversation help me see a new perspective?"
"Could I confidently teach someone else what I just learned?"
Advanced Application:
"Based on our conversation, if you were to design a training program to enhance my thinking skills, what would its key modules be?"
This approach pushes AI to become an active participant in your intellectual development.
6. Train AI to Train You
For AI to be an effective partner, it must learn how to guide your cognitive evolution.
Basic Example:
"Based on what we discussed, what should I focus on more?"
"How can I structure my questions better to get more valuable insights?"
Advanced Application:
"If your only purpose was to accelerate my cognitive growth, how would you structure our conversations from now on?"
By implementing this approach, AI evolves beyond a passive tool, transforming into a dynamic mentor that enhances strategic thinking and decision-making over time.
The Shift from Tool to Partner
The key difference between passively using AI and actively evolving with it is in the quality of the interaction.
An AI that simply provides answers is a tool. An AI that challenges, refines, and expands your thought process is a cognitive partner.
The real question is: Are you training your AI to train you?
The Future Has Already Begun (But Few Noticed)
Interestingly, due to technical and computational limitations, OpenAI inadvertently paved a new path for AI. Rather than continually increasing the size of their models, they began exploring how to maximize existing resources to make interactions more human-like and effective. This subtle shift could be one of the smartest and most revolutionary moves they’ve made, though they might not yet fully grasp its magnitude.
But what if this is just the beginning?
The evolution of AI is no longer confined to text-based interactions. Researchers at Meta AI, in collaboration with the Basque Center on Cognition, Brain and Language, recently demonstrated that AI models can decode up to 80% of the words a person is thinking, solely from brain activity. Using non-invasive brain recordings, their model successfully reconstructed full sentences typed by participants, marking a major leap toward brain-to-text communication [3].
This research suggests a future where the boundary between thought and action is further diminished. Instead of relying on structured commands, AI could synchronize with human cognitive processes in real time, allowing for a more seamless and intuitive mode of interaction. If AI can understand not just what we say, but what we mean before we express it, then the very nature of human-machine interaction is about to change forever.
The Real Question We Should Ask
Ultimately, what will matter most for our future? An AI that automates mundane tasks, or one that understands, adapts, and co-creates with us at a cognitive level?
Perhaps GPT-4.5 is a clear sign, an unheard cry, that true advancement isn’t only in automation, but in turning machines into partners that amplify our intelligence, creativity, and, most importantly, our humanity.
If AI is no longer just responding but understanding our intentions before we even articulate them—are you ready to think and let AI create? Most importantly, our humanity.
Are you ready to start a conversation with your new cognitive partner?
References
OpenAI. (2025). Introducing GPT-4.5. Available at: https://openai.com/index/introducing-gpt-4-5/
Sérgio Barbosa. (2025). Dialogical Ontology of Human-AI Interaction: Theoretical Foundations and Conceptual Innovations. Figshare DOI: 10.6084/m9.figshare.28500833
Meta AI. (2025). Using AI to Decode Language from the Brain and Advance Our Understanding of Human Communication. Available at: https://ai.meta.com/blog/brain-ai-research-human-communication/
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