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How I view LLMs as Sept 2026

I’ve spent over $30k in tokens since the start of the year across Codex, Claude, and GLM. Here’s how I view LLMs as of September 2026. Two categories: Instructions-following models: Like Luna and Sonnet. I used to call these “dumb”. But that’s the wrong way to think about them. They just cannot make good “common sense” decisions. They’re workhorses for pennies. Luna especially, is hard to spend a lot on. If you make the core decisions up front, coding is auto-complete. Intent-understanding models: Frontiers like Astra and Fable. These are higher “common sense” models. These models (try to) understand the intent behind the question. Solving problems is about making the right tradeoff - these models tend to make the right tradeoff more often than the other models. These models know how to orchestrate instruction-following models prescriptively - in a way humans get too lazy to. In my experience, today’s models are far from making the right human-like trade-offs. However, this is where I ...
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I left Google!

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I left Google. I left Google!! :O Uff, that's taking a while to sink in. I walked around campus one last time, and the place is just full of memories. I spent exactly 6 years there. In one team. I took a project from proof of concept to production. And yet, I am as happy to leave as I was when I first joined! (read about how I felt when I got into Google  here .) What a full circle of emotion :D I have great things to say about Google, it really is a company that takes care of its employees. You get 3 meals a day, a gym and shower in every major city you travel to, colleagues from all around the world that become great friends, and social recognition from everyone you know. And yet, I chose to leave. Why, you ask? Well, we all want different things in different phases of our lives. In this phase of life, here's what I am looking for: At Google, I was in a 99 -> 99.99 project. Now, I want a 1 -> 99. I want a scale up where the company has roughly defined the domain they...
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Firebase Auth | The Debug vs Release Signature Problem

tl;dr 1. Update Firebase console with SHA1 of your release keystore. 2. Re-download google-config.json file. 3. Place your release keystore in the same folder as your gradle file and update gradle with the code below. 4. Tadaa! Authenticating a user can be frustratingly tricky at times. I use Firebase all the time to do all server related tasks - I used to create my own Python Flask server prior to this. You literally have to write no server side code, and it's all for free. All steps at the Firebase Auth documentation are straightforward, except for the part that requires you to add the google-config.json with correctly configured SHA1 key. I got stuck at this one point, and I'm certain most developers will at the same place. It took me hours to do this the right way. Here's what you do : Firebase Auth requires SHA1 fingerprint of your release keystore. Run the keytool command given in the docs. keytool -exportcert -list -v -alias alias_name -keystore path...
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