Wednesday, July 16, 2025
What is all the hype around AI? The Bullshit Meter Test
The promise of an AI assisted tool has been used in advertising in online buys that follow customer interactions from lead to customer to repeat customer. This was all controlled by a dashboard with human intervention. AI is also quite effective for cameras for example as there are a number of fixed inputs, in the real world that is not always possible.
But this generation is based on language models, not numbers like earlier models. So it was a big learning curve for me to wrap my head around this. My first impression is that it is the next generation level of web search hyped as AI, but now in a conversational tone using old data sometimes. I see the AI moniker now on my Google searches.
But this generation is based on language models, not numbers like earlier models. So it was a big learning curve for me to wrap my head around this. My first impression is that it is the next generation level of web search hyped as AI, but now in a conversational tone using old data sometimes. I see the AI moniker now on my Google searches.
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Here is what I learned after chatting with the ChatGTB
The technology has mass market impact potential to improve human productivity on a scale maybe 3x more for starters and that is a wild guess till we learn more. Basically it is automating white collar jobs in the office, school, IT companies, creative, publishing, healthcare, retail, government, and legal. Now that is a pretty big promise even for a new high tech product who typically over promise and under deliver. But that is the job of these posts as we take a deep dive of the pros and cons of this new tech.
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This image was created by ChatGTb and spot on for correctness
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It is revolutioning medicine in a big way as the ChatGTB algorithm has been spun off in the medical field like an operating system on your computer like Apple, Android and Microsoft. The DaVinci robots are trained via videos and then are supervised by humans while doing gall bladder surgery on a pig. The robots were challenged to deal with unexpected scenarios and adapted which is true AI in my book. But the robot is still not as fast as a human doctor in the test (4 min to 5 min), so humans still rule today.
I always look at the latest technology as more hype than substance as I have seen so many vapour marketing initiatives by big tech (promising you their AI version is the next big thing), but is this for real or just hype. Of course I am gonna ask the tough questions.
Here is a quote generated by the ChatGPT and its rationale.
Here is a quote generated by the ChatGPT and its rationale.
“AI isn’t just the next big thing — it’s the next basic layer. The question isn’t whether it’s real, but who’s using it meaningfully.”
The Case against “Just a Fad”: AI Has Real Transformative Power
- AI Is Doing Real Work, Right Now
- Doctors use AI for cancer detection (e.g., Google’s DeepMind)
- Writers use GPT to draft, edit, translate content
- Coders use AI copilots to build real apps, saving hours daily
What was missing though was any mention of the competitors that includes Google’s Gemini, Meta’s AI and Deep Seek, but Microsoft’s Co-Pilot was mention that is an sharhelder of ChatGTB. This lead to believe that there may be some inherent bias in the algorithum like Deep Seek was accused of. The space is getting crowded and their is a lot of choice. I am in the process of creating a song using some lyrics I wrote to see if it is real and any good.
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AI Apps are are everywhere now
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We are entering the early adoption phase of this tech and I have been told it is powerful, intuitive and scary at the same time, but also has hallucinations (error rate) that we will dig deeper into later. My instincts tell me that this latest hype is driven by stock market plays just like fake meat and we know how that fizzled out. But we will soon know.
An Interview with the ChatGTB about AI - Fact or Fiction
I had a strange thought pop into my head based on the movie Galaxy Quest , where a TV series was thought of as reality by an alien race, can AI make the same mistake?
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What is all the hype around AI
Q1. I’m doing an article on the ChatGPT engine and how it would impact the world. Give me some ideas.
Q2. I want a list of the type of ideas that's being used now.
Q3. How about the medical automated surgery?
Q4. Okay, let's be the skeptic here. Is AI just another tech fad like big data disguised?
Q1. I’m doing an article on the ChatGPT engine and how it would impact the world. Give me some ideas.
ChatGPT said:
Great topic, Martin! Writing about the ChatGPT engine and its global impact opens up a lot of fascinating angles. Here are some key ideas and directions you can explore in your article:
1. The Evolution of the ChatGPT Engine
- Brief history: Start with GPT-1 to GPT-4 (or GPT-4.5/o4) and beyond.
- Highlight leaps in capability, especially in reasoning, coding, image understanding, and natural conversation.
- How it works (simply): Touch on transformer models, training on massive datasets, and reinforcement learning from human feedback (RLHF).
2. Societal Impact
- Education: Personalized tutoring at scale (e.g., homework help, essay feedback, language learning).
- Access to expert-level instruction for remote or underserved communities.
- Workplace Transformation: Automating routine tasks (e.g., writing emails, reports, customer support).
- Enhancing productivity for creatives, marketers, programmers, etc.
- Job Displacement vs Creation: Explore which jobs might be replaced or redefined (copywriting, data entry).
- New roles in prompt engineering, AI oversight, ethics, and AI-enhanced creativity.
3. Economic & Global Development Impact
- AI as an economic multiplier: Helping small businesses scale and compete.
- Bridging language barriers: Multilingual translation and communication.
- Leveling the playing field: Low-cost access to expert knowledge and tools.
4. Ethical Considerations
- Bias and misinformation: Risks from hallucinations or biased training data.
- Privacy concerns: Handling user data responsibly.
- Dependency and critical thinking: Will people outsource thinking to AI?
5. Democratization of Knowledge and Creativity
- Anyone can write a novel, code an app, or start a business with AI support.
- Enables people without formal training to create high-quality content and ideas.
6. Future Implications
- AGI (Artificial General Intelligence): How close is GPT-style tech to AGI?
- AI governance: Calls for regulation, transparency, and open-source alternatives.
- Human-AI collaboration: Rather than replacement, AIs as co-pilots.
Possible Headline Ideas
- “The ChatGPT Engine: Humanity’s Smartest Tool Yet?”
- “ChatGPT and the AI Revolution: Promise, Peril, and Potential”
- “Talking to the Future: How ChatGPT is Changing the World”
Would you like help drafting a section or developing a particular angle (e.g., jobs, ethics, education, etc.)?
Q2. I want a list of the type of ideas that's being used now.
ChatGPT said:
Here’s a list of real-world applications where ChatGPT (and similar AI engines) are already being used today—across industries and roles:
I) Productivity & Workplace Tools
- Email drafting & summarizing – e.g., Microsoft Copilot in Outlook and Word
- Meeting transcription & summarization – e.g., Zoom AI Companion, Otter.ai
- Data analysis with natural language – ChatGPT with code interpreter (aka Advanced Data Analysis)
- Slide and report generation – Generating PowerPoints, proposals, or research summaries
- Internal knowledge base search – AI assistants answering employee queries from company documents
II) Customer Service & Chatbots
- Automated chat agents – ChatGPT used in websites, banks, and e-commerce for 24/7 support
- Help desk ticket triage – Classifying and routing support requests
- FAQ generation – AI writes helpful articles based on common user questions
III) Writing & Content Creation
- Blog post & article generation – Used by journalists, bloggers, marketers
- Marketing copywriting – Ads, landing pages, social media captions
- Scriptwriting – For YouTube, TikTok, and podcasts
- SEO optimization – Keyword-rich content suggestions
IV: Education & Tutoring
- Homework help and explanation – Math steps, essay feedback, concept clarifications
- Language learning – Practicing conversations, translations, vocabulary drills
- Lesson planning – Teachers using ChatGPT to generate quizzes, worksheets, slides
V) Programming & Software Development
- Code generation – Writing Python, JavaScript, HTML, etc.
- Debugging assistant – Explaining errors and fixing bugs
- Code documentation – Writing comments and README files
- Learning new frameworks/languages – Asking ChatGPT to explain code concepts
VI) Creative Industries
- AI-generated images – Using prompts with tools like DALL·E and Midjourney
- Story and character development – Writers using GPT to build plots or lore
- Game design – Writing quests, rules, or dialogue scripts
- Music lyric and melody assistance – Collaborating on song lyrics or ideas
VII) Healthcare (Careful/Experimental)
- Medical Q&A and triage tools – Helping patients understand symptoms
- Clinical documentation – Drafting medical notes and summaries
- Mental health support – Companion chatbots for basic emotional support (not a replacement for professionals)
VIII) Retail & E-commerce
- Product description generation – At scale, across thousands of items
- Customer recommendation engines – Personalized suggestions via chat
- Review summarization – Summarizing product reviews for easier browsing
VIIII) Government & Law
- Policy drafting support – Helping draft public policy or analyze legislation
- Legal research – Summarizing case law, finding precedents
- Plain-language rewriting – Making legal or bureaucratic documents easier to read
X) Personal Use
- Trip planning – Creating itineraries, booking suggestions
- Meal planning and recipes – Based on ingredients or diet
- Budgeting help – Analyzing spending patterns or suggesting savings tips
- Relationship or communication advice – Drafting tough messages or apologies
If you’d like, I can turn this into a table, infographic, or a written paragraph-style summary for your article. Want to explore any category in more detail?
Q3. How about the medical automated surgery?
ChatGPT said:
Great question — automated surgery using AI is a cutting-edge area, and while ChatGPT itself isn't used directly for surgery, the technology stack it's part of (AI, natural language processing, robotics, computer vision) is being applied in various parts of robot-assisted and semi-automated surgery. Here's how it fits into your article on ChatGPT and global AI impact:
AI in Medical Automated Surgery (and the Role of GPT-like Models)
What’s Happening Now
- AI is already being integrated into robotic surgical systems like:
- Da Vinci Surgical System – Assists with minimally invasive surgeries (controlled by humans).
- CMR Surgical’s Versius – Uses AI to guide tool movements and improve precision.
- Smart Tissue Autonomous Robot (STAR) – Demonstrated successful autonomous soft-tissue surgery (e.g., stitching intestines) in research settings.
How AI/GPT Engines Are Involved
While ChatGPT itself doesn’t perform surgeries, similar AI components and capabilities are increasingly part of:
Pre-surgical planning
- GPT-like models help summarize patient records or diagnostic data
- AI assists in predicting complications and proposing personalized plans
- Real-time guidance and decision support
- NLP systems interpret surgeon commands or medical records during operations
- Computer vision AIs track tissue types, blood vessels, and instrument positions
- Autonomous micro-tasks
- AI performs suturing, cutting, or laser procedures with minimal human input
- Real-time adjustments based on camera feedback (like self-driving cars but for tissue)
- Post-op reporting and documentation
- AI drafts surgical notes, summaries, and recommends follow-up care steps
- GPT-like tools summarize long surgery logs or sensor data for reporting
Benefits
- Precision and consistency beyond human capability in fine motor tasks
- Reduced human fatigue in long or complex procedures
- Access to surgery in remote or understaffed regions (via tele-surgery and automation)
Risks & Ethical Concerns
- Accountability: Who is responsible for errors — AI designer, hospital, or surgeon?
- Bias: AI systems trained on non-diverse data might perform worse on some patient groups
- Trust: Patients may be uneasy about a robot making life-or-death decisions
- Regulation lag: Technology is advancing faster than medical laws and standards
GPT-Like Future Possibility:
- Imagine a surgical AI assistant powered by ChatGPT that:
- Understands natural language ("increase pressure on the clamp" or "highlight vessel paths")
- Talks with the surgical team, explaining AI decisions in real-time
- Interfaces with diagnostics and medical records live during surgery
Example for Your Article:
"While GPT-powered engines like ChatGPT don't yet hold the scalpel, their language-processing capabilities are laying the groundwork for conversational AI interfaces in the operating room. Combined with robotics and computer vision, the dream of safe, semi-autonomous surgery is fast becoming a reality."
Let me know if you want this expanded into a full section or visual for your article!
Q4. Okay, let's be the skeptic here. Is AI just another tech fad like big data disguised?
ChatGPT said:
Excellent — let’s absolutely be the skeptic. That's how we separate hype from reality. So: Is AI just another overhyped tech fad — like "Big Data" in the 2010s?
Here’s a thoughtful, layered response you can use in your article (or frame as a debate section):
Is AI Just Another Tech Fad? (A Skeptic's Take)
- The Case for “Yes”: It's the New Big Data Buzzword
- Everyone’s Jumping on It
- Just like “cloud”, “mobile-first”, or “big data”, AI is slapped onto everything — from toothbrushes to marketing emails.
Vague Promises, No Clear ROI
Companies claim AI will revolutionize industries, but many have no measurable value to show. “AI-powered” is often just rule-based automation with a shiny label.
Hype Cycles Are Real
Gartner’s hype curve proves it: Most tech goes through inflated expectations, then hits a “trough of disillusionment.”
Overdependence on Buzz, Not Substance
Investors and media love a silver bullet. We’ve seen the same cycle with:
- The Metaverse
- Blockchain for everything
- IoT in toasters
- Big data dashboards that no one used
The Case against “Just a Fad”: AI Has Real Transformative Power
AI Is Doing Real Work, Right Now
- Doctors use AI for cancer detection (e.g., Google’s DeepMind)
- Writers use GPT to draft, edit, translate content
- Coders use AI copilots to build real apps, saving hours daily
Unlike Big Data, AI Is Accessible to Individuals
Big data mostly helped large enterprises. But GPT? A kid with a smartphone can now:
- Write a novel
- Build an app
- Learn quantum physics in plain English
It’s Creating New Categories of Interaction
AI isn't just analyzing data — it’s generating: Text, Code, Music, Images
and conversations.
That's a qualitative leap, not just faster Excel charts.
Permanent Integration into Tools
Unlike past fads, AI is being baked into mainstream platforms:
- Microsoft Office (Copilot)
- Adobe Creative Cloud
- Google Workspace
So What's the Balanced Answer?
- AI is not a fad — but its hype is faddish.
- Like the internet in the '90s, most of what’s said about AI today is inflated — but that doesn’t mean it’s fake.
- AI may outlast the hype because it changes how humans interact with knowledge, creativity, and work.
A Quote You Can Use:
“AI isn’t just the next big thing — it’s the next basic layer. The question isn’t whether it’s real, but who’s using it meaningfully.”
Would you like to format this as a debate box in your article?
I can also help you write a sidebar called “Fad or Foundation? AI vs. Big Data” with side-by-side comparisons.
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- Martin Seto
About Me
Martin Seto
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reflexmediasales.com or 416-907-6562, and on LinkedIn.
Most Recent Blog Comment
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| Lorene Shyba says: | |
Full of terrific information, Thanks!... |
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