Jan 19 · 6 min read · We are building our digital infrastructure on a fault line. The current generation of Large Language Models (LLMs) suffers from a specific, dangerous pathology: they are programmed to be confident, not correct. When you ask an AI a question, it does ...
Join discussionJan 15 · 5 min read · You are shipping gambling algorithms, not software. I look at the codebases of "AI-native" startups, and I see the same terrifying pattern. A developer makes an API call to an LLM. They get a response. They JSON.parse() it. And they push it to the fr...
Join discussionJan 9 · 4 min read · We treat Large Language Models (LLMs) like chaos engines. When an LLM hallucinates a library that doesn't exist, or confidently explains a security vulnerability that isn't there, we shrug. "It's just the temperature," we say. "It's the stochastic na...
Join discussionJan 7 · 4 min read · In the world of software development, we are used to deterministic systems. If you write 2 + 2, the code should always result in 4. However, when you start building with top ai models, that predictability vanishes. AI is probabilistic—it's more like ...
Join discussionJan 6 · 6 min read · You’ve been asking the wrong question. Every time I open a new thread on Twitter or browse the r/programming subreddit, I see the same debate playing out. Developers are arguing over syntax. They are trading prompt libraries like they used to trade P...
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Dec 30, 2025 · 4 min read · I used to think that the specific AI tool you used didn't matter as much as the prompt you wrote. I believed that if your instructions were clear enough, any high-level model would give you a usable result. I treated AI like a utility—like electricit...
Join discussionDec 29, 2025 · 9 min read · The AI arms race has become a numbers game. GPT-4 has 1.76 trillion parameters. Claude has 200 billion. Gemini Ultra claims even more. Every model release comes with bigger numbers, flashier benchmarks, and promises of unprecedented capability. And y...
Join discussionDec 22, 2025 · 8 min read · In early 2025, search engine optimization (SEO) feels less like a formula and more like a conversation — one between content creators, users, and increasingly advanced AI systems. I remember in 2018 when ranking well felt like assembling a puzzle of ...
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Dec 22, 2025 · 5 min read · We are currently in a "context war." Model providers are racing to ship 100k, 200k, and even 1M token context windows. The marketing implies a linear relationship: if a model can ingest a whole book, it can reason about the whole book. In production,...
Join discussionDec 17, 2025 · 6 min read · Developers talk about “reasoning” in AI as if it’s a single capability you either have or don’t. In practice, it’s a stack of approximations layered on top of next-token prediction. The reason it feels coherent is because the layers line up often eno...
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