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How I Prompted This Hard Sci-Fi Story with ChatGPT 4.5

17/9/2025

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One night I was experimenting with ChatGPT to see if I could prompt a hard sci-fi short story that was constrained in a similar manner to Alastair Reynold’s ‘Revelation Space’ Universe. That means no FTL (Faster Than Light) travel, decades-long journeys, and scientific details that would hold up under scrutiny. I used GPT-4.5 for this task and started the process with ChatGPT’s deep research feature on nearby stars, exoplanets, and other scientific details for the story.

My Approach

  • Constraints First: I told the model to keep it hard science (real exoplanets, real stars, and relativistic flight only), include a shipboard AI that plays a key role throughout the story, and structure the narrative so it includes three mini-chapters (Earth Departure → Proxima Centauri → Next Best Star System).
  • Deep Research: I utilized deep research to gather and evaluate scientific facts for the story. Exoplanets featured include:
    • Proxima b (~1.07 M⊕, ~0.048–0.05 AU, ~11.2-day orbit, likely tidally locked; harsh flare environment).
    • Ross 128 b (~1.3–1.4 M⊕, ~0.049 AU, ~9.9-day orbit) orbiting a quieter red dwarf—better odds for a stable atmosphere and retained biosignatures.
  • Realistic First Contact: I found the first draft of Chapter 3 very unrealistic as the AI was able to instantly act as a translator for the extraterrestrials, so I prompted ChatGPT to revise Chapter 3 so the crew and AI had to gather a real corpus of signals and behaviours before meaning emerged. On the cloud-shrouded world (permanent overcast), “never seeing the stars” became both biologically and culturally coherent.

​Why Use An LLM For Hard Sci-Fi?

​GPT-4.5 handled style and cohesion while I provided the outline, anchored the physics, and directed the story. The model synthesized tone, pacing, and scene transitions, while deep research grounded the numbers, orbits, stellar behaviour, and environments. That split kept the story tight and credible.

Pattern Recognition, Language, And New Environments

The translation arc I wanted in the story mirrors how real understanding grows:
  • Data Before Meaning: You don’t decode a language from one utterance; you need hours of audio, context, and interaction.
  • Multimodal Grounding: Sound plus behaviour plus setting beats raw text or speech alone.
  • Probabilities, Not Certainties: Hypotheses get proposed, tested, and revised—exactly how good science (and careful field linguistics) works.

AI Is Already Accelerating Science

This workflow reflects where AI is useful today:
  • Astronomy: Classifying light curves, denoising spectra, flagging exoplanet candidates, modeling stellar flares.
  • Planetary Science: Terrain mapping, autonomous navigation, onboard triage for what to study next.
  • Signal Analysis/SETI-Adjacent: Anomaly detection and structured-signal characterization.

​Read The Story

​If you’d like to see the finished product of this experiment, you can read the full three-chapter short story here:
Interstellar Odyssey (PDF)
File Size: 219 kb
File Type: pdf
Download File

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The story follows humanity’s first interstellar voyage—beginning with Earth’s departure, continuing through the Proxima Centauri system, and culminating in first contact on Ross 128 b.
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​​Image generated with ChatGPT. 

​Takeaways

If you want to prompt great stories with ChatGPT:
  • Start with clear constraints.
  • Utilize verified data. 
  • Let the model handle cohesion and voice. 
  • Keep a human in the loop for truth and taste. 
The result is fiction that reads smoothly but leans on real numbers—a voyage carried by patience, pattern recognition, and the quiet partnership between humans and their machines.
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The AI OS: Toward a Paradigm Shift in Human-Computer Symbiosis

20/8/2025

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We might be at the precipice of a fundamental transformation in our relationship with technology. Familiar computing paradigms—desktop metaphors, point-and-click interfaces, and even voice assistants—are evolving into something profoundly more personal, intuitive, and interconnected. At the core of this shift is the concept of an AI Operating System (AI OS): A context-aware, intelligent companion that learns, adapts, teaches, and collaborates in real-time.
​This emerging reality is driven by rapid advancements in multimodal large language models (LLMs), embedded sensors, and distributed AI ecosystems. An AI OS represents a paradigm shift in AI assistance. A shift from commanding machines to a more symbiotic relationship.

A Personalized, Adaptive Relationship

​Imagine an AI OS that leverages contextual data through direct access to cameras, microphones, biometric sensors, and user data. By doing so it could become capable of interpreting your emotional state, recognizing subtle gestures, body language, and vocal nuances. It wouldn’t simply respond to commands but to how you feel, move, and engage.
​The result would be a deeply personalized user experience that transforms your devices from static tools into responsive collaborators. Whether you're composing documents, debugging code, preparing presentations, or experiencing creative blocks, an AI OS would attune itself uniquely to you. It would recognize your patterns, preferences, and goals, proactively adapting its support. For instance, an AI OS might gently suggest a break if it detects rising stress, offer visual aids if it knows you're a visual learner, or autonomously generate helpful resources when sensing your intention or struggle.
​Over time, this nuanced understanding would craft an interaction that feels profoundly intimate. Your technology would grow with you, enhancing efficiency and emotional connection in tandem.

From Local to Global Intelligence

​The true potential of an AI OS arises when we consider that AI will become ubiquitous, integrated into everything from smartphones and smart homes to vehicles and public spaces. These intelligent systems will communicate and collaborate, creating a dynamic ecosystem of networked intelligence.
Imagine your smart glasses recognizing objects and synchronizing silently with your AI OS to present relevant information instantaneously. Your home AI might sense elevated stress after work, prompting your AI OS to suggest relaxation exercises, playing video games, reading, or watching your favourite video show, all while rescheduling less critical tasks. In professional settings, interconnected AI agents could streamline collaboration, anticipate challenges, and transparently mediate conflicts, fostering more productive interactions.
​This interconnected intelligence surpasses mere productivity. It reshapes our collaborative processes, education systems, healthcare approaches, and governance models, amplifying critical thinking, creativity, and informed decision-making throughout society.

A New Cognitive Infrastructure

​The convergence of AI capabilities into an operating system would not only be a technological leap but a socio-cultural transformation. An AI OS blurs digital and cognitive boundaries, enabling users to accomplish complex tasks through intuitive dialogue rather than technical mastery alone.
The societal implications are profound:
  • Education could become hyper-individualized with an AI OS acting as a personalized tutor and co-learner attuned to an individual's learning style.
  • Healthcare could improve through proactive monitoring with an AI OS detecting and interpreting emotional and physical signals to address health concerns.
  • Governance could become more participatory with an AI OS supporting real-time policy interpretation and community sentiment gathering.
  • Creative workflows could become more fluid and outcome-focused as AI reduces technical barriers, emphasizing insight and innovation.
​This shift redefines human-computer interactions at a societal scale, bringing us closer to a reality that was previously only imagined in science fiction.

​Cautious, Grounded Optimism

Yet, this promising future demands careful consideration. The depth of personal and contextual data required by an AI OS raises significant ethical questions around privacy, transparency, consent, and security. Risks of misinterpretation, manipulation, or over-dependence highlight the necessity of responsible, human-centric development.
​However, with thoughtful design prioritizing human flourishing, an AI OS holds extraordinary promise—not to replace humanity but to amplify it. It can foster creativity, expand knowledge, increase productivity, and enhance emotional and cognitive well-being.

The Future: Not Just Smarter Devices, but Smarter Lives

Ultimately an AI OS signifies a shift from operating systems managing files and applications to operating selves. Merging tools, intelligence, and emotional understanding into a unified experience for living, learning, and creating.
​As AI becomes more embedded, empathetic, and socially integrated, our relationships with technology will become more meaningful. We are no longer simply designing interfaces; we are creating and guiding relationships with intelligent machines that listen, adapt, and evolve with us.
​This marks not only a technological breakthrough but a cultural renaissance, heralding a future of genuine human-AI symbiosis: A future we must build mindfully, courageously, and optimistically.

I’m Excited. Are You?


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​Image generated with ChatGPT. 
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Em Dash Man

9/7/2025

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Over the past year, I’ve found myself observing and participating in the online discourse around generative AI. It’s a fascinating mix of optimism, caution, and—often—overcorrection. One recent pattern I’ve noticed among the more anti-AI voices is a tendency to declare that certain quirks of writing automatically “reveal” that a piece was written by AI.
Top of the list? The em dash.
​Apparently, if you use em dashes in your writing, there’s a decent chance someone online will accuse you of being a bot—or worse, of using ChatGPT.
​Earlier this week I read ‘Revenge of the Librarians’ by Tom Gauld, a fun and nerdy book that includes a comic about ‘Apostrophe Man’. Apostrophe Man is a literary superhero whose superpower is punctuation. He is both absurd and strangely relatable (maybe not so strange to those of us who like (or feel the need) to correct grammar). The combination of that comic and the em dash paranoia online sparked an idea: What if there was a superhero like Apostrophe Man, but for the em dash instead?
​Thus, Em Dash Man was born.

​I played around with ChatGPT to create both images and comics based on this idea. Below are two images of Em Dash Man. One in a retro comic book style and another in a dramatic fantasy realism style. 
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Retro Comic Book Style
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Dramatic Fantasy Realism Style

​I kept playing around and iterating, eventually cooking up the two comic panels below. I'm not claiming they’re masterpieces, but the process was fun and enjoyable. I always try to take the opportunity to experiment with ChatGPT. It’s a great way to learn, and I encourage others to do the same. 
​There’s something cathartic about channeling these online arguments into something silly and symbolic. Sometimes satire says more than a thread ever could. 

EM DASH MAN
​
—DEFENDER OF THE WRITTEN WORD!

A tale of accusation, punctuation, and redemption.

EM DASH MAN AND THE GREAT AI DEBATE

AI panic hits the town hall. Only one hero dares to intervene. 

A Note on “AI Tells”

​It's true that generative AI models can show stylistic patterns in their outputs (em dashes, choice of quotation marks, a certain rhythm of prose, even emoji use). However, those “tells” are not universal and are often the result of vague prompting.
Generative AI is highly responsive to direction. You can ask an AI model to:
  • Write without em dashes.
  • Use only commas or short sentences.
  • Format answers as bullet points.
  • Use MLA or APA formatting.
  • Mimic any tone, author, or style.
  • Format like a technical manual or a short story.
  • Write like Carl Sagan, a 2007 MySpace page, a casual Reddit post, or a 1950s advertisement. 
​In other words: AI output is responsive and deterministic. If it’s outputting dashes, it’s likely because the prompt (or the training data it learned from) included them. 

Final Thought

​Generative AI is a deterministic tool based on math, but different prompts and additional training can change responses. This is similar to how human language evolves over time through usage, exposure, and cultural shifts. The more people engage with different writing styles, the more they absorb, adapt to, and emulate those patterns in their own expression—whether through comments on social media, reading chapter books, or now, through exposure to generative AI outputs.
​Em Dash Man isn’t here to save AI or destroy it.
He’s just here to say:
          “Maybe we should judge ideas, not dashes.”

All images in this blog post were generated by ChatGPT through my own prompting and iterative refinement—just one more way to explore what these tools can (and can’t) do.
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The Importance of Fact-Checking Generative AI: Human Oversight Is Not Optional

25/6/2025

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Two recent stories serve as a powerful reminder: Generative AI must always be fact-checked. Human oversight isn’t optional. It’s essential.
In one story, major newspapers including the Chicago Sun-Times and The Philadelphia Inquirer published a summer reading list with books that didn’t exist. Ten of the fifteen titles were completely fabricated by AI but falsely attributed to real authors like Isabel Allende and Percival Everett. The list, syndicated by King Features, slipped through editorial review and misled readers, damaging trust in both AI-assisted writing and journalism.
​In the other story, covered by the CBC, lawyers are facing disciplinary action for citing AI-generated legal cases that never existed. These “hallucinations” might have appeared convincing on the surface, but were entirely fiction. This highlights how insufficient human oversight over generative AI outputs can put clients, court outcomes, and careers at risk. 
​As the CBC article notes, “AI tools, such as ChatGPT, are not information retrieval devices but tools that match patterns in language. The result can be inaccurate information that looks ‘quite real’ but is in fact fabricated.”
​These incidents highlight a key truth: Generative AI is a supercharged autocomplete, not a database or search engine. It predicts what should come next based on patterns, not understanding. It doesn’t know facts. It guesses.
​That kind of predictive power can be useful, but without proper review, it can just as easily produce elegant and convincing nonsense. If we use AI in our work, we must treat its output as a starting point—something to refine, verify, and build upon—not as a finished product or reliable source. 
​Verification is non-negotiable. Every citation, name, date, and fact needs to be reviewed. The AI might not know better. We must.
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​Image generated with ChatGPT. 
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Manitoba Libraries Conference 2025: Reflections on Learning, Presenting, and Connecting

14/5/2025

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On May 6th and 7th, I attended the Manitoba Libraries Conference hosted by the Manitoba Library Association (MLA). As an MLA member, I deeply appreciate this gathering. It's an invaluable opportunity to reconnect with colleagues, discover innovative practices, and reflect on my own professional growth. This year was especially exciting as I co-presented a session titled "Demystifying ChatGPT: AI Innovations for Libraries & Digital Repositories" alongside Mike Ellis.
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Day 1: Insights, Ideas, and AI Innovations

​The conference began with a powerful keynote by Niigaan Sinclair. Niigaan, an Anishinaabe professor from Peguis First Nation, immediately captured my attention with his compelling storytelling and incisive commentary. He contextualized Manitoba’s past and present, thoughtfully reflecting on the Legislative building and the statues toppled in recent years. His point about the absence of Indigenous representation being akin to starting a story at chapter two was particularly impactful. Niigan’s discussion on generational change, highlighted by Manitoba electing Canada’s first Indigenous premier, Wag Kinew, provided insight and perspective. His masterful balance between serious topics, such as residential schools and red dress day, and his use of humour underscored the value of open and straightforward conversations. 
​The first session I attended, “Not Just for Kids: Engaging Adults and Building Community Using Storytime and Music Programs”, led by Austin Matheson and Brittany Lagasse from Winnipeg Public Library, was delightful. It expanded my perspective on adult programming and reminded me of the potential for community-building through creative initiatives like ukulele jams. Given that my previous assistant branch head occasionally serenaded us with her ukulele, this session triggered some memories. 
​After preparing the laptop for my presentation, I quickly assembled a delicious lunch plate, though I had to temporarily stash it behind the projector screen. Despite starting slightly late due to the lunchtime rush, Mike and I had an impressive turnout, with attendees overflowing onto the floor! Mike’s engaging case study on PastFORWARD, Winnipeg Public Library’s digital repository, showcased an innovative AI application in archiving and elicited both laughter and lively participation from the audience. Although time for questions was limited, attendees raised insightful queries about generative AI trained on creative commons materials and the environmental implications of AI. Post-session, I enjoyed meaningful one-on-one discussions about generative AI and potential applications, including possibilities for interlibrary loan systems. 
Afterward, I enjoyed my lunch in the main hall and had an engaging conversation with Trevor, a new connection who shared interests in generative AI, libraries, astronomy, camping, and world travel.
​The afternoon continued with enlightening lightning talks on diverse library initiatives, from updating furniture (“Hold on to Your Seat - Or Don't!”) to enhancing bilingual collections and supporting male caregivers in early literacy programs. These brief yet impactful presentations sparked numerous programming ideas for my own library.
​The day concluded wonderfully with finger foods and mingling, leaving me eager for day two.

Day 2: Exploring Library Practice and Philosophy

​Day two started with the MLA Annual General Meeting, providing a relaxed and productive beginning to the day. It was wonderful connecting with colleagues over coffee, meeting new faces, and exchanging insights.
​The first session of the day, “Nature Programs in a Rural Public Library: Hatching Chicks and Growing Vegetables”, inspired fresh ideas for nature-focused programming. Learning about initiatives like donating produce grown in library gardens reinforced the innovative ways libraries serve their communities.
​“Staff Picks: A Fun, Online Readers’ Advisory Program Model for Your Library” provided practical inspiration for an upcoming autumn ‘Staff Picks’ display. A valuable takeaway from this session was the reminder that “tech should be a tool that supports what you do, not dictate it.”
​The session “In Search of the Lost Library”, presented by librarians from the University of Winnipeg, demonstrated creative solutions for addressing discrepancies in catalogue entries. While their final solution didn’t utilize generative AI, their recognition of it as a potential solution brought a smile to my face, aligning with my interest in integrating AI into library workflows.
​Lunch and the awards ceremony, featuring speaker Chimwemwe Undi, were enjoyable and celebratory. Congratulations to all award winners!
​In the afternoon, Sam Popowich’s session, “The Cultural Politics of Libraries”, was particularly thought-provoking. Sam compellingly argued for recognizing libraries as politically active institutions, examining the 'enlightenment' versus 'social control' perspectives on library history. After the session, Sam generously gifted me his book, "Solving Names: Worldliness and Metaphysics in Librarianship", a thoughtful gesture and a read I’ve already begun to enjoy. 
​The final session I attended, “The Burnt-Out Librarian: Moving on From Vocational Awe”, tackled an important yet often overlooked issue. Carolyn and Monique shared personal experiences and offered practical strategies to address burnout, reinforcing the importance of maintaining healthy engagement with our profession.
​If you’re interested in exploring the content from my session, I’ve included two versions of the presentation slides in PDF format: a short presentation version (as delivered at the conference) and a more detailed version for deeper context and explanation. I hope these resources offer insight into our session and inspire new ways to explore the role of generative AI in libraries. 
​Reflecting on these two enriching days, I felt a great sense of community and connection. The Manitoba Libraries Conference reaffirmed my passion for librarianship, highlighted extraordinary work happening throughout Manitoba, and reinforced my belief that librarians and library workers truly do rule.
​Until next time!

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Navigating Truth in the Age of AI: A Practical Guide to Fact-Checking

30/4/2025

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The digital world is brimming with information—but not all of it is accurate. With AI-generated content flooding our feeds and misinformation becoming more sophisticated, verifying facts has never been more crucial. Whether you're researching for work, keeping up with the news, or simply scrolling through social media, sharpening your fact-checking skills can help you separate truth from deception. Here’s how to sharpen your perception, enhance your awareness, and become a more informed consumer of information. 
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​​​​​​​​Generated with DALL·E.

Five Key Strategies for Verifying Information

1. Research the Author or Organization
A source’s credibility matters. Before trusting information, investigate who is behind it:
  • Is the author a subject matter expert?
  • Is the organization funded by groups or individuals who could bias their reporting?
  • Does the author or organization have a history of accuracy?
  • Are they affiliated with a reputable institution?
  • Do they have an agenda?
Looking beyond an entity’s website—by checking independent reviews and other sources—can provide a clearer picture by revealing underlying motives and biases.
2. Use Smart Search Techniques
Finding reliable sources quickly depends on how you search. Here are a few techniques to refine your results:
  • Use quotation marks (e.g. "digital literacy initiatives") to search for exact phrases.
  • Use site:[URL] (e.g. site:ala.org digital literacy) to search within a specific website.
  • Use the minus sign (e.g. -fake) to exclude unwanted terms.
  • Conduct reverse image searches to verify photos.
3. Verify the Original Source
Many articles cite secondhand sources—but are they trustworthy?
  • Track down the original source or publication.
  • Check if the claim is accurately represented and contextually sound.
  • Check if multiple reputable sources report the same facts.
4. Consult Fact-Checking Websites
Independent fact-checkers help cut through the noise. Some recommended resources include:
  • General: Snopes, PolitiFact, FactCheck.org
  • Scientific: SciCheck, Science Feedback
  • Canadian-Specific: CBC News, MediaSmarts
​5. Pause and Reflect
If a claim sparks an emotional reaction, that’s a red flag. Misinformation thrives on outrage and urgency. Before sharing or believing a story, take a step back and ask:
  • Does this seem too good (or too bad) to be true?
  • Who benefits if this claim spreads?
  • Does this seem intentionally provocative or overly simplistic?
  • Have multiple reliable sources verified this?

Beyond the Basics: Fact-Checking Frameworks

The SIFT Method: A Fast, Effective Approach
Mike Caulfield’s SIFT method offers a quick way to assess information:
  • Stop – Before engaging, consider the source’s credibility.
  • Investigate – Look into the author, website, and their reputation.
  • Find Better Coverage – Seek out high-quality sources for confirmation.
  • Trace the Claim – Follow information back to its original context.
The P.R.O.V.E.N. Method: A Deeper Dive
For more thorough evaluation, use the P.R.O.V.E.N. method:
  • Purpose: Understand why the information was created.
  • Relevance: Check if the information is applicable. 
  • Objectivity: Assess if multiple viewpoints are included. 
  • Verifiability: Confirm the information through reliable independent sources.
  • Expertise: Confirm the author’s qualifications. 
  • Newness: Determine if the information is current. 
Lateral Reading: Thinking Like a Fact-Checker
Instead of staying on one page, open new tabs and check:
  • Wikipedia for background on an organization or expert.
  • News archives for related reporting.
  • Reviews and expert opinions from multiple sources.

Final Thoughts: Build Your Information Resilience

​AI-generated content isn’t going anywhere, and misinformation continues to evolve. Developing strong fact-checking habits keeps you informed and protects you from misleading claims.
​Next time you come across a viral story, a surprising statistic, or a claim that seems off, take a moment to verify before you share. The more we question, the better we can navigate today’s information landscape.
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​​​​​​​​Generated with DALL·E.

What’s Your Go-To Fact-Checking Method?

​Have a favourite strategy or a trusted source you rely on? Let’s discuss in the comments!
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Exploring Code Generation with ChatGPT: A Space Invaders Experiment

5/3/2025

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I've always been curious about how well ChatGPT can generate functional code. To test its capabilities, I decided to start with something relatively simple but still interactive: coding a basic Space Invaders game. I wanted to see how well ChatGPT could generate a working program, how adaptable it would be to my requests, and whether I could refine and improve the code through iterative prompts. This experience turned into an engaging coding experiment, showing me just how powerful AI-assisted development can be.
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​​​​​​​​Generated with DALL·E.

Defining the Project

​Space Invaders is a classic arcade game where the player controls a spaceship that moves left and right, shooting enemies descending from the top of the screen. The game involves essential programming concepts like:
  • Rendering graphics: Drawing the spaceship, enemies, and bullets on the screen.
  • User input: Allowing the player to move and fire using keyboard controls.
  • Game logic: Detecting collisions between bullets and enemies, tracking scores, and resetting the game when necessary.
  • Dynamic difficulty: Adjusting enemy speed to increase or decrease the challenge.
To keep things lightweight and browser-based, I opted to use CodeSkulptor, a Python environment designed for educational programming that runs entirely in the browser and uses the simplegui library for handling graphics and game loops.

Iterating on the Code

I began by asking ChatGPT to generate a basic Space Invaders game in CodeSkulptor. The initial version included:
  • A rectangular player-controlled spaceship.
  • Simple movement using the left and right arrow keys.
  • Enemies that moved downward at a fixed speed.
  • A basic shooting mechanism where bullets fired straight up and disappeared when hitting enemies or leaving the screen.
However, I quickly realized some limitations and requested modifications:
  1. Increased Playability: The original screen size was too small, and the player’s speed felt sluggish. I asked ChatGPT to triple the spaceship’s speed and expand the game window to provide more space for movement.
  2. Balanced Enemy Movement: The enemies were initially too fast, making the game too difficult. I asked for their speed to be reduced to one-third of the original rate.
  3. Dynamic Difficulty: I requested that enemy speed increase by 5% when pressing the up arrow key and decrease by 5% when pressing the down arrow key. This allowed for on-the-fly difficulty adjustments.
  4. Visual Improvement: I wanted the spaceship to be a triangle rather than a rectangle to better represent a traditional spacecraft.
  5. Game Reset Feature: Finally, I asked for a way to restart the game with a key press. ChatGPT implemented a reset function triggered by pressing the 'N' key, which cleared the screen, reset the score, and respawned enemies at random positions.

The Final Result

​By the end of this experiment, I had a functional and customizable Space Invaders game running in CodeSkulptor. The iterative process demonstrated how well ChatGPT can understand and implement coding requests, allowing for quick modifications and enhancements.
For those interested, I highly recommend trying out the code in CodeSkulptor and playing around with your own modifications. The experience is a great way to learn how game logic works while also exploring AI-assisted development.

Download the Code Below

python_codeskulptor_space_invaders_chatgpt.txt
File Size: 4 kb
File Type: txt
Download File

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​​​​​​​​Generated with DALL·E.

Looking Ahead: The Power of AI Coding Assistance

This experience left me excited to continue exploring coding with ChatGPT. Now that o3-mini-high is available—a model that is supposed to be even more proficient at coding—I’m even more eager to see how it improves code generation, debugging, and refactoring. With each iteration, AI models are becoming more adept at understanding context, implementing changes effectively, and even suggesting improvements I might not have thought of myself.
​If this simple Space Invaders game was just the beginning, I can only imagine how far AI-powered coding assistance can take us. Imagine being able to code entirely in natural language! Whether you're a beginner learning the basics or an experienced developer looking to prototype ideas quickly, ChatGPT is proving to be an invaluable tool in the coding process.
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Echoes of a Dying Star: Exploring a Supernova Through AI and Storytelling

19/2/2025

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I've been playing around with ChatGPT for a while now, experimenting with its ability to generate and refine stories, especially those rooted in science. One of my latest projects was crafting a science fiction short story that balances scientific accuracy with a sense of curiosity and wonder—something in the flavour of Carl Sagan.
Picture
​​​​​​​Generated with DALL·E.

The process? A mix of notes, structured planning, AI-assisted brainstorming, research, and a lot of tweaking:
  • Story Concept & Playtime: I started with a basic idea—a Type Ia supernova unfolding across different cosmic distances—and played around with ChatGPT, bouncing ideas back and forth.
  • Academic Meets Creative: I had ChatGPT analyze and draw from one of my old university astronomy papers to reinforce the scientific foundation of the story.
  • Outlining the Narrative: I structured the story into five chapters, each set at a different vantage point, from the doomed white dwarf, to an autonomous research probe, to a crewed space ship, to the Earth, to the Andromeda Galaxy. One focus was scientific knowledge, but another was evoking that deep sense of cosmic wonder.
  • Experimenting with ChatGPT Models: I tested different inputs, played around with phrasing, and fine-tuned the best output before mixing in my own edits.

Final Touches: Bringing the Story to Life with Video & Music

To enhance the experience, I experimented with Sora to create short videos for each chapter, the title screen, and ending. I compiled these into videos for the story, trying two different approaches:
  1. Text-Based Generation: I copy-pasted the chapter text directly into Sora and went with whatever it generated.
  2. Prompt-Based Generation: I asked ChatGPT o3-mini to come up with suitable Sora prompts—one for each chapter, the title screen, and ending. I then put those prompts into Sora with minimal editing. This worked somewhat better but Sora still had issues generating text correctly.
Both videos turned out alright, but still left much to be desired. Sora has potential, but there’s plenty of room for improvement—at least for us humble ChatGPT Plus users.
On top of that, I wanted an atmospheric soundtrack, so I used ChatGPT to craft a dungeon synth instrumental prompt for Suno. I’ve been really into dungeon synth lately, and this story felt like the perfect inspiration for something melancholic, immersive, and cosmic. 
Suno generated two versions:
  • Luminous Shadows - Version 1
  • Luminous Shadows - Version 2
​After all that experimenting, refining, and assembling, here’s the final outcome: ‘Echoes of a Dying Star’—a story that explores the cosmic scale of a supernova through the perspectives of a doomed autonomous research probe, a distant spaceship, Earth-based observers, and even the Andromeda Galaxy.
Check out the story, and watch the accompanying videos below!

Echoes of a Dying Star

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​Echoes of a Dying Star - Video 1


Echoes of a Dying Star - Video 2


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Spinning Fairy Tales with ChatGPT: A Simple and Magical Journey in Storytelling

5/2/2025

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When I set out to create Brothers Grimm-style fairy tales, I experimented with different versions of ChatGPT using a simple yet effective prompt. In this document, you’ll find the short stories themselves as well as the exact prompts I used. 
Picture
​​​​​​​Generated with DALL·E.
First, I experimented with ChatGPT 4, using the following prompt:

     Write a fairytale in the style of the Brothers Grimm to communicate the         meaning of the following quote: “insert quote here.”

​I then tested ChatGPT o1 with the same prompt. 
With this straightforward instruction, I watched as ChatGPT spun imaginative fairy-tale narratives, each crafted to illuminate the core message of the quote in question. Despite the simplicity of the prompt, the stories that emerged were rich in imagery and moral depth, perfectly capturing that timeless Brothers Grimm flair. ChatGPT 4 tended to produce more intricate plots with rich symbolism and nuanced character development, while ChatGPT o1 tended to generate simpler, more straightforward tales that still conveyed the meaning of quotes effectively. Both versions demonstrated a strong ability to distill meaning into compelling folklore-style narratives.

Collected Brothers Grimm-Style Stories Generated via ChatGPT (GPT-4 & o1)

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One of the things that impressed me most was how easy it would be to adapt these short stories for story time programming at public libraries. Librarians can quickly generate age-appropriate tales with built-in morals, lessons, or pop culture phrases, then share them with young audiences in a fun, engaging way. And if you add an image generation tool—like DALL·E or another AI art generator—you can produce simple illustrations to accompany each story, making the entire experience even more magical and visually appealing.
​There’s real value in these stories, not just for children but for adults as well. Narratives are a powerful way to communicate values, spark imagination, and provide insight. They allow us to see ourselves in characters and situations, giving life to abstract ideas in a relatable form. Whether you’re reinforcing a personal mantra, teaching a life lesson, or simply entertaining an audience, stories transcend age and background. They capture the heart and the mind all at once.
​For those looking to explore creative writing or enhance their library programs, I highly recommend experimenting with ChatGPT. It’s an enjoyable and effective way to bring fresh, imaginative content to life—whether you’re spinning your own fairy-tale world or passing on time-honoured wisdom in new and exciting forms.
Picture
​​​​​​​Generated with DALL·E.
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Integrating ChatGPT into Your Workflow: A Comprehensive Guide

22/1/2025

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Introduction

​In today's fast-paced digital world, leveraging artificial intelligence (AI) can significantly enhance productivity and efficiency. ChatGPT, developed by OpenAI, is a powerful language model that can assist with a wide range of tasks, from drafting emails to brainstorming ideas. This guide explores the philosophy behind integrating ChatGPT into your workflow and provides practical steps on how to incorporate it effectively.
Picture
​​​​​​Generated with DALL·E.

​The Philosophy Behind Using ChatGPT

​Enhancing Productivity and Efficiency
At its core, ChatGPT is designed to augment human capabilities. By handling routine or time-consuming tasks, it allows you to focus on more complex and creative aspects of your work.
​Complementing Human Skills
ChatGPT excels at processing and generating text based on patterns in data it was trained on. While it doesn't possess consciousness or personal experience, it can provide insights and suggestions that complement human intuition and expertise.
​Continuous Learning and Adaptation
Incorporating ChatGPT into your workflow is not a one-time setup but an ongoing process. As you interact with the model, you learn how to craft better prompts, and the AI can provide more tailored responses over time.

How to Incorporate ChatGPT into Your Workflow

1. Identify Suitable Tasks
Determine which aspects of your workflow can benefit from AI assistance. Common areas include:
  • Content Creation: Drafting articles, emails, social media posts, and image generation.
  • Brainstorming: Generating ideas or exploring different angles on a topic.
  • Research: Summarizing information or explaining complex concepts.
2. Set Up Access
Access ChatGPT through platforms that offer the service, such as:
  • OpenAI's ChatGPT Website: Interact directly via the web interface.
  • OpenAI's ChatGPT App: Use the official ChatGPT mobile app for iOS and Android, or the desktop application for convenient access and functionality.
  • Integrations: Use plugins or extensions that incorporate ChatGPT into applications like Chrome or Microsoft Teams.
  • API Access: For developers, integrate ChatGPT into custom applications using the OpenAI API.
3. Craft Effective Prompts
The quality of the AI's output depends largely on the input it receives.
  • Be Specific: Clearly state what you need. Instead of "Tell me about climate change." try "Summarize the impact of climate change on coastal cities."
  • Provide Context: If the task is complex, give background information to guide the AI.
  • Set the Tone and Style: Indicate if you prefer a formal report, casual explanation, or bullet-point list.

Practical Applications

Personal Productivity
Planning Healthy Meals
Use ChatGPT to create meal plans or recipes based on ingredients you have or dietary preferences.
  • Example Prompt: "Help me create a healthy dinner using salmon, asparagus, and brown rice. I prefer low-carb options."
Developing Meal Plans
Ask ChatGPT to generate a week's worth of healthy meal ideas.
  • Example Prompt: "Plan a 5-day vegetarian meal plan for me, including breakfast, lunch, and dinner. I need quick recipes that take under 30 minutes to make."
Planning a Trip
Utilize ChatGPT to help organize your travel itinerary, find attractions, or suggest packing lists.
  • Example Prompt: "I'm planning a 7-day trip to New Zealand. Suggest an itinerary that includes hiking, local culture, and must-see landmarks."
Minimizing and Organizing
Get advice on decluttering and minimizing possessions.
  • Example Prompt: "Provide a step-by-step plan to declutter my closet and minimize my wardrobe to essentials."
Time Management
Improve your productivity by optimizing your schedule.
  • Example Prompt: "Help me create a daily routine that balances work, exercise, family time, and personal hobbies like reading."
Enhancing Public Library Services
Assisting with Reference Questions
Library staff can use ChatGPT to help answer patron inquiries more efficiently, including reader's advisory and identifying books based on limited information.
  • Example Prompts:
    • "Provide a simple explanation of the expansion of the universe suitable for a middle school student."
    • "A patron remembers a mystery novel about a detective who solves crimes in his dreams, and the book cover features a clock melting. Help identify the book title."
Content Creation: Image Generation
​Generating Image Ideas and Descriptions
Use ChatGPT to help conceptualize images or create descriptions for image generation tools.
  • Example Prompt: "Describe an image of a public library hosting a community cooking class, with people of all ages preparing meals together."
Creating Prompts for AI Image Generators
Craft detailed prompts to be used with AI image generation models like DALL·E.
  • Example Prompt: "Help me write a prompt for an AI image generator to create an illustration of a minimalist workspace with a laptop, notebook, and a cup of green tea by a window overlooking a forest."
Brainstorming Library Programs
Generating Event Ideas
Brainstorm new programs to engage the community.
  • Example Prompt: "Suggest five interactive workshop ideas for adults at a public library focusing on digital literacy."
Personal Learning and Development
Understanding Complex Topics
Leverage ChatGPT to break down complicated subjects and aid in your personal learning journey.
  • Example Prompts:
    • "Explain the process of star formation and the lifecycle of stars in simple terms."
    • "What is the significance of exoplanet discovery in our understanding of the universe?"

​Tips for Effective Use

Be Clear and Specific
The more precise your prompt, the more relevant the response.
  • Ineffective Prompt: "I need meal ideas."
  • Effective Prompt: "Provide three healthy dinner recipes using chicken, spinach, and sweet potatoes."
  • Ineffective Prompt: "Help me plan a trip."
  • Effective Prompt: "Create a 4-day itinerary for a budget-friendly trip to Japan, focusing on onsen, nature, culture, and local cuisine."
  • Ineffective Prompt (Library Use): "Help with programs."
  • Effective Prompt (Library Use): "Outline a plan for a children's reading hour themed around learning the night sky."
Use Iterative Refinement
If the first response isn't quite right, refine your prompt by providing additional details or asking follow-up questions.
  • Meal Planning Follow-Up: "These recipes are great, but I have a nut allergy. Can you adjust them accordingly?"
  • Trip Planning Follow-Up: "Can you include some lesser-known attractions and recommend affordable accommodations?"
  • Minimizing Stuff Follow-Up: "I have a lot of books. How can I decide which ones to keep and which to donate?"
  • Library Programs Follow-Up: "Great ideas! Can you include suggestions on how to promote these workshops to attract more participants?"
Leverage for Learning
Use interactions as a learning opportunity to deepen your understanding.
  • Example Prompts:
    • "What are the basic steps to start learning a new language effectively?"
    • "List some beginner-friendly astronomy projects I can do at home to learn about and memorize constellations."

Limitations and Challenges

Understanding AI Limitations
  • Lack of True Understanding: ChatGPT generates responses based on patterns, not consciousness or awareness.
  • Potential for Errors: The AI might produce plausible-sounding but incorrect information.
​Avoiding Over-Reliance
  • Supplement, Don't Replace: Use ChatGPT to augment your work, not replace critical thinking or professional expertise.
  • Continuous Learning: Stay informed and keep developing your skills beyond AI assistance.

Conclusion

​Integrating ChatGPT into your workflow can be a game-changer, enhancing efficiency and sparking creativity. By understanding its capabilities and limitations, and applying best practices, you can harness this powerful tool to complement your skills and advance your projects. Embrace the collaborative potential of AI, and let it be a catalyst for innovation in your personal and professional journey.
Picture
​​​​​​Generated with DALL·E.

​Remember: The key to effectively using ChatGPT is experimentation and adaptation. As you become more familiar with how the AI responds, you'll discover increasingly valuable ways to incorporate it into your daily tasks.
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