The bulk of my vibe-coding experiments over the last few months have involved audio and video, or rather audio and vision, and I’ve been experimenting pretty heavily with multimodal models. So this is just a small guide based on what I’ve used. If you have some project where you need vision capabilities for text…
Read the note →This is an interesting post on small language models, and I completely agree. For most tasks people have, whether in an organizational setting or in a personal capacity, frontier or large models are overkill. It’s like using a chainsaw to slice a piece of bread.
Most of our everyday use cases, inside a company or personally, are basic in nature: search, summarize, transform, set simple alerts, synthesize things, ask basic questions, and so on. For all those use cases, we don’t need GPT-4 or Claude, Opus 5 or Table. Simple small models like Gemini Flash, GPT Luna, DeepSeek Flash, and now GLM 5.3 Flash are more than good enough—and they’re dirt cheap.
This also opens up a lot of use cases for building small tools and apps by leveraging the power of cheap LLM models that can—if not be a million-dollar SaaS business—at the bare minimum have a few hundred or thousand paying users. I would bet on an efflorescence of such small apps and tools.
A nice overview of companies that are trying to figure out what comes next after the transformer architecture, which has led to the current AI race:
File this under hopeful naïveté, naïve idiocy, or pointlessly hopeless romanticism. I was playing around with Gemini’s new image model, NanoBanana, and I was shocked at how good it was. That got me thinking about the present state of AI tools—by which I mean large language models (LLMs). People often use “AI” to mean…
Read the note →Sabine Hossenfelder tried to “vibe physics” using popular LLM models, and she was underwhelmed. So if you’re a physicist, I guess your job is safe for now. I’m not a physicist myself, and I couldn’t understand half the things Sabine said. That said, she points out that the current crop of LLMs are good at literature…
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