AI & Machine Learning Articles

AI & Machine Learning Jul 4, 2026 • 5 min read

Why I'm Finally Taking Federated Learning Seriously (And Why You Should Too)

I'll be honest—until recently, federated learning felt like academic theater to me. Something researchers wrote papers about while the rest of us shipped features with centralized databases and called it a day. Then I got pulled into a conversation with a healthcare startup, and...

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AI & Machine Learning Jul 3, 2026 • 5 min read

Why I'm Actually Excited About AI-Native Data Workspaces (And Why I Wasn't Before)

Last month, I spent three hours debugging why an analyst on my team kept getting stale data. Turns out they were running queries in Snowflake, copy-pasting results into a Slack message, and I was reading those Slack messages to build a report. We had a perfectly good data warehou...

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AI & Machine Learning Jul 2, 2026 • 5 min read

Stop Organizing Code for Machines. Organize It for AI.

Last month, I was running Claude on three parallel tasks across one of my projects—a schema migration, an API contract update, and frontend fixes to match it. By hour two, the agent started hallucinating file paths. It wasn't confused because the codebase was too big. It was conf...

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AI & Machine Learning Jul 1, 2026 • 2 min read

จาก chatbot ธรรมดา สู่ AI ที่ทำงานแทนเราได้ — เราเติมอะไรเข้าไปบ้าง?

จาก chatbot ธรรมดา สู่ AI ที่ทำงานแทนเราได้ — เราเติมอะไรเข้าไปบ้าง? เวลาเราใช้ ChatGPT หรือ Claude ครั้งแรก — เราพิมพ์คำถาม ได้คำตอบ จบ นั่นคือ LLM (Large Language Model) ในรูปแบบพื้นฐานท...

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AI & Machine Learning Jun 30, 2026 • 4 min read

I Asked Claude to Pick My Dependencies, and Now I'm Questioning Everything

Last month, I was building a new feature flag system for one of our client projects. Instead of doing what I used to do—spending an afternoon researching options, reading Github issues, checking licensing—I did what felt natural in 2025: I asked Claude for a recommendation. Withi...

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AI & Machine Learning Jun 29, 2026 • 4 min read

Stop Throwing Money at LLM APIs: The Honest Truth About Where Your Costs Actually Live

I spent three weeks last year optimizing database queries that were costing us maybe $200/month in infrastructure. Meanwhile, I was casually firing off API calls to Claude and GPT-4 with zero visibility into what we were actually spending. When my co-founder finally pulled the AW...

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AI & Machine Learning Jun 28, 2026 • 4 min read

Stop Writing SQL to Talk to Your Database — But Should You?

I spent three hours last week debugging a query that a non-technical stakeholder asked me to run. They wanted to know how many users had churned in the last month, and instead of a five-second answer, I got pulled into explaining joins, WHERE clauses, and date functions. By the t...

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AI & Machine Learning Jun 27, 2026 • 4 min read

I Almost Built a DeepSeek Agent That Silently Lost Its Brain—Here's What I Learned

Three weeks ago, I was integrating DeepSeek into a client project that needed tool-calling agents with reasoning. I assumed—like I assume with most OpenAI-compatible APIs—that I could drop in a generic wrapper, parse `message.content`, and move on. The integration "worked." The a...

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AI & Machine Learning Jun 26, 2026 • 4 min read

The Infrastructure Bet Nobody's Talking About: Why I'm Watching Silicon Valley's Hardware Shuffle

I spent last Tuesday debugging why our inference pipeline was hitting latency spikes at 3 AM, and my first instinct was to throw more Nvidia H100s at the problem. By Wednesday, I read that OpenAI just dropped a custom chip for inference. By Thursday, I realized I'd been thinking...

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AI & Machine Learning Jun 25, 2026 • 5 min read

I Spent a Year Chasing Better AI Models. The Real Problem Was Always the Plumbing.

Last year, I watched a startup spend three months evaluating Claude vs GPT-4 vs Gemini for their customer service chatbot. They benchmarked performance metrics, ran cost analyses, built prototypes with each model. By month four, they'd picked Claude and launched. The chatbot work...

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