Thoughts, ideas, and code snippets from the void.
OpenAI's GPT-4o isn't just a faster model; it's a re-think of how we integrate AI into real workflows. I'm seeing immediate, measurable shifts in project velocity and cost that demand a rapid re-evaluation of existing pipelines.
Forget the benchmarks for a second. I put Llama 3 8B through its paces on a real-world internal tool, and what I found will make you rethink your proprietary model spend.
The GPT-4o voice demo felt like science fiction, but after real-world testing, I've got a much sharper take on its current utility. Don't mistake a slick presentation for shipping code.
Meta's Llama 3.1 just hit with a 400K context window. I pushed it on a data preparation workflow that normally sucks up 96 hours of manual review. It cut that down by 38 hours. This isn't just about bigger numbers; it's about what we can actually *do* with that much space.
The recent Tinygrad benchmarks against PyTorch aren't just about raw speed gains; they expose a fundamental design tension in deep learning frameworks that matters for anyone shipping production models.
Anthropic's new Claude 3.5 Sonnet isn't just a speed bump; it's a quantum leap in accessible LLM performance. I put it through its paces on real-world data parsing, and the results are frankly astonishing, especially when you consider the price tag.
Notes on layering a global background, a sticky sidebar, and backdrop-blur to make the admin feel like a native app.
A practical guide to choosing between Next.js server actions and API routes, with examples from this very project.
Prisma is great — but for a small project with a known schema, a thin query helper was faster to ship and easier to reason about.
A walkthrough of how I built this portfolio with Next.js App Router, Tailwind, and a MySQL-backed admin panel.