My experiments with AI

A software engineers journal

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🤖 Al Doom vs Boom: Where I Stand in the Age of AI Disruption

“I’m not afraid of AGI. I’m afraid of being the last one doing everything manually while the rest of the world accelerates with AI.”

The All-In podcast episode “Al Doom vs Boom” hit a nerve. You could feel the tension in the air — Chamath’s measured warnings, Sacks’ concerns about centralization, Friedberg practically sprinting into the Boom era.

This episode spotlighted two sides:

  • Doomers fear job loss, misinformation, and runaway tech.
  • Boomers see exponential productivity, scientific breakthroughs, and economic lift.

With so many voices predicting everything from job collapse to a golden age, I want to record my own viewpoint — grounded in my daily work with AI and firsthand experience of how fast it’s transforming software development. It’s already made me 10x more productive — not in theory, but in code. This isn’t a distant trend. It’s a transformation I’m actively living and building through.


💬 What the Leaders Are Saying

“Currently, techsperts fear that AI is rendering humanity obsolete in every sector, from law to academia and everything else.”

Here are three recent quotes from prominent tech leaders that echo what I see every day in my own workflows:


1. Sundar Pichai (CEO of Google) – June 2025

“It feels so delightful to be a coder in this moment.”
He highlighted the joy of building software with tools like Cursor and Replit, which speed up workflows and unleash creativity.
📎 Business Insider, June 2025


2. Satya Nadella (CEO of Microsoft) – April 2025

“I’d say maybe 20%, 30% of the code that is inside of our repos today… is probably all written by software.”
Microsoft is already seeing deep AI integration across its development pipeline.
📎 New York Post, April 30, 2025


3. Elon Musk (CEO of Tesla and SpaceX) – January 2025

“The cumulative sum of human knowledge has been exhausted in AI training.”
Musk raised a red flag that synthetic data will be necessary as models mature.
📎 The Guardian, January 9, 2025


⚖️ Boom vs Doom: What’s Really at Stake

PerspectiveBeliefRisk or Reward Lens
DoomAI will lead to mass job loss, erode privacy, and displace humanityMisalignment, runaway models, job destruction
BoomAI will unlock productivity, abundance, and cheaper digital toolsInnovation flywheel, lower barriers, new agency
My TakeAI is already replacing 90% of what we do — and that’s not a bad thingIt’s about redistributing effort to where we shine most

“Most people aren’t obsolete — their workflows are. And that’s where AI wins.”


🔎 Recent Use Cases That Prove the Boom

🌀 The Artificial Meteorologist
AI is now forecasting weather more accurately than human models. Microsoft, Google, Nvidia, and Huawei are investing heavily.
📎 Marketplace Tech – June 4, 2025
🔗 https://www.marketplace.org/episode/2025/06/04/introducing-the-artificial-meteorologist

🌐 Expedia Virtual Agent
I used this to modify a hotel reservation. It solved the issue faster than any human customer service rep I’ve dealt with.

👁️‍🗨️ AI Without Facial Recognition
Police departments now use AI tools that identify people by body features and accessories instead of facial scans.
📎 Marketplace Tech – June 2, 2025
🔗 https://www.marketplace.org/episode/2025/06/02/police-use-new-ai-tool-that-can-identify-someone-without-facial-features

🎉 Evite Competitor – Paperless Post
Finally, someone did it. A cleaner, more affordable, AI-aided invitation tool that outclasses Evite. This is what Boom looks like.


🔦 Spotlight: When AI Couldn’t Solve It

Just yesterday, I was flying. I used AI to generate documentation from an unfamiliar codebase — and it wasn’t just helpful, it was transformative. I finally understood how the system worked. I was debugging issues faster than ever. I was building confidently in a repo I barely knew, and shipping with speed.

But today? Today was different.

Despite having the most powerful AI assistant right beside me, I was stuck. The code wouldn’t work. The tool gave me fix after fix — but none of them got me over the hurdle. So I did what every real developer eventually has to do: I stopped, stepped back, and started over.

I stripped away the AI-suggested clutter. I returned to a known working state and peeled back the layers — one at a time — until I hit the root of the problem. I scanned logs. I followed intuition. I troubleshot like a human.

“AI can accelerate me. But it still can’t replace how I reason through problem solving.”

And part of the reason? The context window.

AI operates within a strict limit called the context window — the amount of information it can hold and reason over at once. For example, GPT-4 is capped at about 8,000 tokens. Claude 3 Opus expanded this dramatically to 200,000. But even then, the boundary is real. Once the limit is hit, earlier details vanish. Crucial context evaporates. The model forgets — and flounders.

The generative agent architecture. (Image source: Park et al. 2023)

Humans, on the other hand, operate differently. Our working memory may be limited, but our long-term memory is persistent, layered, and intuitive. We don’t just hold variables — we hold patterns. We remember the last dozen bugs we’ve seen in that one flaky module. We recall the workaround from a late-night Slack thread six weeks ago. We integrate, adapt, and retain far beyond what an LLM can track in a single session.

“AI processes in chunks. I live in context.”

The same thing happened again while writing this very journal entry.

I asked AI to help draft a section — and it did. Ten paragraphs. All clean. All… generic. Not one of them sounded like me.

So I rewrote the intro. Added rhythm. Injected real stories. Stripped the fluff. Made it mine.

“AI can write. But it can’t speak for me.”

These aren’t complaints. These are confirmations.

The Boom is real. But it’s not automatic. The human is still the engine. AI is the turbo.
Model used: Claude Sonnet 3.7


🤖 Final Thought:  Why I Believe in Boom — Even When the Doom Feels Real

One of my favorite imagined futures — and it doesn’t feel all that far off — is something I call “Rosey the Robot — IRL”, inspired by The Jetsons.

It’s the dream of an AI-powered household assistant that does more than vacuum. It brings order to chaos.

  • It mows the lawn before the weekend hits.
  • Vacuums and mops quietly while we work.
  • Picks up the day’s clutter and puts it all back in place.
  • Keeps track of detergent, paper towels, and toilet paper — and reorders before we notice we’re out.

Why does this matter?

Because this is where the Boom hits home — literally. Not just faster code or better productivity tools, but a smoother, calmer life. It’s the kind of AI that gives parents their weekends back, reduces our working hours, gives working professionals mental space, and turns a house full of tasks into a place of rest.

AI isn’t just revolutionizing software. It’s getting ready to revolutionize family life — and I’m building toward that, every day.

I’m not cheering for disruption. I’m shaping it — for my kids, my team, and my future.

I don’t believe AGI is right around the corner. But I do believe AI can do nearly everything we do — and sometimes better.

We’ve built our lives around spreadsheets, checklists, forms, and logic flows. AI thrives there. Our lives were designed for automation — we just didn’t know it.

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My Experiments with AI is where I explore the cutting edge of artificial intelligence through hands-on experimentation and thoughtful analysis.