I just came back from maternity leave. And honestly? I felt like I'd missed a decade in six months. I talked about starting small in my other blog ...
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I feel this so hard.
Looking forward to your series!
Thank you for your support!!! Appreciate it!
coming back to first principles was the right call. the surface layer changes fast but the foundational thinking doesn’t - and that’s what makes a 15-year cloud background actually useful in AI right now.
Appreciate your kind words! I am true believer of diving deep into fundamentals and foundational learning instead of just surface layer.
yeah, surface tools change every 6 months now. the fundamentals are the only thing that compounds. makes more sense to invest there.
One thing I’m intentionally doing in this series: not pretending this technology is magic. We will we keep peeling back layers and understand what is our job as builders in this new world of building with AI.
Your dive into AI fundamentals is spot-on- the landscape shifts fast. The recipe summarization demo is a great baseline for what LLMs can do.\n\nBut scaling this to critical domains like drug interaction graphs introduces immense complexity.
Oh yes definitely! I want to cover some of these complexities in future posts!
Thank you for sharing your experience! Definitely taking a break and coming back is overwhelming given how fast things move, there's a sense of constantly feeling behind. I loved your focus on mental models from first principles. It's super easy to get lost in all of the hype (which frankly a lot of the latest things are) but sticking with the underlying logic and understanding capabilities is key to breaking through the noise.
This is a great resource for anyone feeling overwhelmed in the current landscape.
Thank you for your kind words!
The relearning loop is the part that compounds. Every break from the field means rebuilding the mental model from scratch, and the cost isn't time spent rereading docs, it's the lost intuition about which abstractions held up and which were trend chasing. The same dynamic hits AI agents that lose working context between sessions. That's the layer we're closing at Mneme.
Thats so true! And the field is super fast paced, its important to keep the focus on the right things. I would love to learn more about Mneme, can you point me where do I get started?
The past six months have been wild! I love the idea of going back to establish a foundational understanding first. You got this Rohini!
Thank you Erin! It is a wild ride!!! :D
This is amazing, simple and useful. thanks!
Thanks! Appreciate your kind words!