🌟 Welcome!
Welcome to another exciting week of keeping it together with AI, so it doesn’t get the better of us.
The real signs of AGI are already emerging — just not where most people are looking.
I’ve had the privilege of being in rooms with some of the top 10% of AI experts.
And here’s what might surprise you: AGI will be underwhelming.
Not because it won’t be powerful but because it’s already here, evolving quietly inside the tools and systems we use every day.
🤖 🧩 The Underwhelming AGI
If you’ve been watching GenAI closely, you’ve probably noticed a clear pattern.
The shift isn’t theoretical anymore. It’s visible in the way we build, code, and collaborate with AI:
Code completion → AI code reviewers
Human-synced coding → AI async coding (agents)
Code coverage → from <20% to near 100%
Evaluation metrics → never designed to hit 100%
Data science capacity → not enough people to make sense of all the data we’ve already collected
AGI won’t appear as a single leap forward. It’s emerging in slow motion through the steady, compounding evolution of AI capabilities inside our workflows.
The truth is: we’re already seeing fragments of AGI behavior not in one model, but in how multiple systems now learn, reason, and act with minimal human input.
🌐 The Ecosystem of Systems
Everyone’s looking for AGI in a single, all-powerful model. That’s not where it’s hiding.
The real signs of AGI are in the ecosystem - a growing web of connected, semi-autonomous (agentic) systems quietly evolving inside organizations.
These agentic systems are learning to coordinate writing, reviewing, deploying, and improving code together.
AGI won’t come from a “god model.” It will emerge from coordination.
When tools start talking to each other sharing context, reasoning asynchronously, and self-improving across workflows...you’re no longer watching automation. You’re witnessing the emergence of collective intelligence.
The future of intelligence isn’t a single brain. It’s an organization that thinks.
🧠 What This Means
AGI won’t be a headline moment. It’ll be an inflection point we realize in hindsight.
While many chase “the one model that changes everything,” the real breakthrough is already unfolding inside the connected systems quietly reshaping how we build, decide, and learn.
So yes, AGI might be underwhelming at first glance. But its coordination layer will change everything.
What do you think?
Are we already living through the early stages of AGI just distributed and invisible? Or is there still a single breakthrough waiting to happen?
Am i missing anything here?
🗓️ Upcoming Deadlines
AI Automation Workshop (FREE)
How Tech professionals can automate their workflow, scale their output, and build AI systems that do the heavy lifting.
In 60 minutes, we’ll cover:
• How to identify the parts of your job AI can automate today
• The core components used to build custom AI workflows
• How to build automation without writing code
• Real examples of Architect, Engineer, and PM automation with AI
• What these automations unlock for senior tech pros
• The new skills you need to stay ahead in 2025 and beyond
Workshop Date: Dec 10, 2025
Location: Virtual
Building AI for Enterprise (Webinar)
A workshop on “Beyond Pilots: A hands-on workshop for building Secure Agentic AI“.
🗓️ November 25, 2025
🕒 11 a.m. ET | 8 a.m PST | 4 p.m. BST
Registration Link: Webinar Registration
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Practical frameworks. Real workflows. No hype.
Did You Know? The first computer bug was literally a bug—in 1947, Grace Hopper found a moth trapped in a Harvard Mark II computer, coining the term "debugging" in the process.
Till next time,
Ashish Rajan
🧭 PS: If you enjoyed this post, consider subscribing to The Inference Stack, my newsletter where I share real AI workflows, frameworks, and experiments that help tech leaders stay ahead of the AI curve in their companies.