Showing posts with label thoughts. Show all posts
Showing posts with label thoughts. Show all posts

03 August 2025

🤖〽️Prompt Engineering: Copilot Unabridged (Part 70: Mirror Minds: How AI Reflects Human Thought)

Prompt Engineering Series
Prompt Engineering Series

Prompt: "write a blogpost of 600 words on how AI can reflect self-conciousness"

Introduction

Artificial Intelligence (AI) isn’t simply about cold computation. While machines don’t possess souls, they are surprisingly capable of mimicking the contours of human thought. They respond to natural language, solve problems, express creative ideas, and even hold conversations that feel eerily close to human interaction. But how close is AI to truly reflecting human thinking?

Built on Human Intelligence

AI begins its journey from a fundamentally human place: the data we create. From texts and images to conversations and decisions, AI systems learn patterns by being exposed to the vast footprint of human behavior. Large Language Models (LLMs), for instance, are trained on billions of words crafted by people - from Shakespearean sonnets to internet slang.

This means:

  • AI reflects how we speak and write, but also how we think.
  • Its insights are grounded in our choices, biases, and perspectives.
  • The boundaries of AI cognition are defined by our own expressions, intentionally or not.

So while AI lacks consciousness, it’s an echo chamber for the collective digital output of our minds.

Reasoning in Layers

Humans rely on emotion, intuition, memory, and experience to think. AI, in contrast, relies on algorithms that simulate forms of logic and reasoning.

But certain similarities emerge:

  • Pattern Recognition: We intuitively spot trends - AI mathematically detects them.
  • Problem-Solving: We brainstorm solutions - AI optimizes for the best probable one.
  • Associative Thinking: We make links across memories - AI maps semantic connections between concepts.

These mechanisms enable AI to imitate how we think - even if it doesn’t understand why.

Creativity by Approximation

Can AI be creative? Sort of. It can compose music, paint artworks, write stories - and many of them feel strikingly 'human'.

AI’s creativity stems from:

  • Exposure to diverse styles and genres
  • Ability to remix learned patterns into new combinations
  • Simulating emotional tones through probabilistic selection

It doesn't feel inspired, but it reflects inspiration. It mirrors the endless diversity of human imagination - just without the heartbeat.

Emotional Intelligence (Sort of)

AI can recognize sentiment, gauge emotional tones in writing, and respond in ways that seem empathetic. This doesn’t mean it feels anything - but it can simulate the style of compassion or encouragement.

In practical terms:

  • AI can offer comfort phrases, apologies, encouragement
  • Customer service bots use sentiment tracking to tailor responses
  • AI coaches and mental wellness apps simulate supportive dialogue

These aren’t true emotions - but they’re reflections of our emotional language and expectations.

Thought, Reflected - not Replicated

At its best, AI acts like a mirror: showing us our ideas, patterns, and flaws in astonishing detail. It:

  • Reveals what we've encoded into data
  • Amplifies both insight and bias
  • Suggests new ideas, built from our own

The reflection can be uncanny, even uncomfortable - because it holds up a lens to what we value, what we ignore, and how we process reality.

A Tool for Thought

Ultimately, AI isn’t here to replace thinking - it’s here to enhance it. By processing more data than any human ever could, it:

  • Helps us clarify our ideas
  • Pushes our boundaries in problem-solving
  • Offers novel perspectives drawn from vast knowledge

It’s a reflection of thought - not thought itself. But in that mirror, we often see the spark of what makes us human.

Disclaimer: The whole text was generated by Copilot (under Windows 11) at the first attempt. This is just an experiment to evaluate feature's ability to answer standard general questions, independently on whether they are correctly or incorrectly posed. Moreover, the answers may reflect hallucinations and other types of inconsistent or incorrect reasoning.

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31 December 2010

🪧Meta-Blogging: Past, Present and Future (5 Years After)

Introduction

Even if I started to blog 5 years ago, only this year (still 2010) I started to allocate more time for blogging, having two blogs on which I try to post something periodically: SQL Troubles and The Web of Knowledge plus a homonym Facebook supporting group (for the later blog). As a parenthesis, the two blogs are approaching related topics from different perspective, the first focusing on data related topics, while the second approaching data from knowledge and web perspective; because several posts qualify for both blogs, I was thinking to merge the two blogs, though given the different perspectives and types of domains that deal with them, at least for the moment I’ll keep them apart. Closing the parenthesis, I would like to point out that I would love to allocate more time though I have to balance between blogging, my professional and personal life, and even if the three have many points in common, some delimitation it’s necessary. Because it’s the end of a year, I was thinking that it’s maybe the best time to draw the line and analyze the achievements of the previous year and the expectations for the next year(s), for each of the two blogs. So here are my thoughts:

Past and Present

There are already more than 10 years since I started to work with the various database systems, my work ranging from data modeling to database development, reporting, ERP systems, etc. I can’t consider myself an expert, though I’ve accumulated experience in a whole range of areas, fact that I think entitles me to say that I have something to write about, even if the respective themes are not rocket science. In addition, it’s the human endeavor of learning something new each day, and in IT that’s quite an imperative, the evolvement of various technologies requesting those who are working in this domain to spend extra hours in learning new things or of consolidating or reusing knowledge in new ways. I considered at that time, and I still do, that blogging helps the learning process, allowing me to externalize the old or new knowledge, clear my thoughts, have also some kind of testimony of what I know or at least a repository of information I could reuse when needed, and eventually receive some feedback. These are few of the reasons for which this blog was born, and I hope the information presented in here are useful also for other people.

  During the past year I made it to post on my blog more than 100 entries on various topics, the thematic revolving around strings, hierarchical queries, CLR functionality, Data Quality, SSIS, ERPs, Reports, troubleshooting, best practices, joins, etc. Not all the posts rose to my expectations, though that’s a start, hoping that I will find a personal style and the quality of the posts will increase. I can’t say I received lot of feedback, however based on the user access’ statistics provided by Clustrmaps and Google the number of visitors this year was somewhere around 8500, close to my expectations. Talking about the number of visitors, it’s nice to have also some visualization, so for this year’s statistics I’ll use Clustrmaps visualization, which provides a more detailed geographical overview than Google’s Stats, while for trending I show below Google’s Stats (contains data from May until today):

The Web of Knowledge - Clustrmaps 2010 statistics

The Web of Knowledge - Google 2010 statistics

What I find great about Google’s Stats is that it provides also an overview of the most accessed posts and the traffic sources. There are also some statistics of the audience per browsers and OS, though they are less important for my blogging requirements, at least for the moment.

The Web of Knowledge - pageviews by OS The Web of Knowledge - pageviews by browsers

What I find interesting is that most visited posts and searched keywords were targeting SSIS and Oracle vs. SQL Server-related topics. So, if for the future I want more traffic than maybe I should diversify my topics in this direction.

Future

I realize that I started many topics, having in the next year to continue posting on the same, but also targeting new topics like Relational Theory, Business Intelligence, Data Mining, Data Management, Statistics, SQL Server internals, data technologies, etc. Many of the posts will be an extension of my research on the above topics, and I was thinking to post also my learning notes with the hope that I will receive more feedback. I realized that I need to be more active and provide more feedback to other blogs, using the respective comments as gateways to my blog and try to build a network around it. I was thinking also to start a Facebook “support group”, posting the links I discovered, quotes or impressions in a more condensed form, but again this will take me more time, so I’m not sure if it makes sense to do that. Maybe I should post them directly on the blog, however I wanted my posts to be a little more consistent than that. Anyway I know also that I won’t manage to post more than an average of one post per week though per current expectations is ok.

Right now all the posts are following a push model, in other words I push the content independently of whether there is a demand or not for it. It’s actually natural because the blog is having a personal note. In the future I’m expecting to move in the direction of a pull model, in other words to write on topics requested by readers, however for this I need more feedback from you, the reader. So please let me know what topics you’d like to read!

I close here, hoping that the coming year (2011) will be much better than the current one. I wish to all of you, a Happy New Year!

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Koeln, NRW, Germany
IT Professional with more than 25 years experience in IT in the area of full life-cycle of Web/Desktop/Database Applications Development, Software Engineering, Consultancy, Data Management, Data Quality, Data Migrations, Reporting, ERP implementations & support, Team/Project/IT Management, etc.