Gusarich's thoughts

What LLM to use today? Many major releases occurred in the past weeks. The current frontier consists of models that a couple of months ago were only rumors. And they are great. OpenAI has GPT-5.1 and GPT-5.1-Codex-Max; Anthropic has Opus 4.5; Google has…

Things got too easy with AI AI provides incredible value to me and to many other people in our daily lives and work. It's now possible to do more, better, and faster than ever. But I realized that the progression of AI capabilities outpaced the progression of my goals. I recently started thinking ...

I gave Codex its own Mac Mini I was playing around with Codex CLI a lot over the holidays, and apart from making it run 30 instances of itself as "subagents" (actually just doing codex exec runs in background terminals) I also decided to buy a fresh Mac Mini and give it to Codex. I quickly impleme...

A detailed write-up covering all optimizations and the development process will be published soon

Happy new year 🕺

A new blog post with my predictions on AI progress in 2026. https://gusarich.com/blog/ai-in-2026/

TON Vanity Meet the new blazingly fast vanity address generator for TON smart contracts! The previous state-of-the-art solution was released 3 years ago and hasn't improved much since. We at TON Studio decided to develop a completely new solution from scratch, following the usage patterns the prev...

My personal opinion based on experience: * GPT-5.1 has the best instruction following, strong agentic capabilities, and very good skills in math, coding, and problem solving. * GPT-5.1-Codex-Max has worse general capabilities than GPT-5.1, but is noticeably better for large and complex coding task...

What LLM to use today? Many major releases occurred in the past weeks. The current frontier consists of models that a couple of months ago were only rumors. And they are great. OpenAI has GPT-5.1 and GPT-5.1-Codex-Max; Anthropic has Opus 4.5; Google has Gemini 3 Pro. I'm often working with code, a...

AI would discover a lot of new science.

There is nothing out-of-distribution AI turned out to be very simple if you think about it. You just make a model that works with something generic, and feed as much training data as you can into it. The generic data I mean here is text. People had writing for thousands of years and the whole world...

There is no singularity When mentioning singularity, people often think of some "point" in time when AI progress starts to speed up exponentially very quickly with no human control and it all kind of converges to infinity and we don't know what will happen the second after. And I myself had a simil...