The 'it just works' feeling after switching tools is the best signal that something was actually improved under the hood 🙂 Got that feeling when first switching to claude code too.
@whats_ai
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Brain Drain from Academia Threatens Research and Society
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The brain drain from academia is something we should all be worried about long-term TBH, that's not good for the society if academia no longer serve its purpose…
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Wall Street Bankers Using Grok for Financial Modeling Applications
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Wall Street bankers building financial models in Grok is an interesting move. We'll see if domain expertise or LLM capabilities matter more here. I suspect it can become quite good, even though investing is most often more similar to betting, especially in the short term
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Healthcare and AI Progress Driving Innovation Forward
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Awesome, always love seeing Healthcare + AI progress !
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Architectural Innovation Over Compute Scale in AI Development
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The fact that throwing more compute at it isn't enough anymore is the real signal here. We might be entering a phase where architectural innovation matters more than scale again! At least, I certainly hope so…
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Autonomous React Loop: Key Difference in AI Agent Architecture
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Yeah, the react loop being done autonomously is basically the main difference !
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Preparing for AI Engineering Interviews: Practical Advice
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A question I get all the time: "How do I prepare for an AI engineering interview?" And lately it comes with like "my friends are getting 24-hour take-home tests. How do I practice for them?" Here's the gist after interviewing ~100 candidates for AI engineering roles at
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Claude Usage Patterns: Weekends vs Weekdays Workflow
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I use Claude more on weekends than weekdays at this point haha. I also experiment with cowork a lot more during weekends running while I'm doing other things vs. during the week focusing on urgent tasks TBH.
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RAG Deployment Gap: Model Capability Versus Production Reality
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Benchmarks go up every month but most companies still can't get a basic RAG pipeline to work reliably. There's really a big gap between model capability and actual deployment.
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Constraints Drive AI Engineering Creativity Beyond Hardware
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Love this challenge. Constraints force creativity. The best AI engineering often comes from "how do I make this work with what I have" not "give me more GPUs."