In the past few months we've seen a lot of new AI browser coming up. They're all chromium copy with extra AI features. Google has yet to upgrade Chrome with AI capabilities. Let's explore the new browsers:

Dia

The Internet Company Of New York — yes that's the name — started the AI browser trend with Arc Browser, and then evolved into Dia. The main feature of Dia is the AI sidebar that lets you talk with one or multiple pages at the same time. Dia was purchased recently by Atlassian — sadly for me, because it was my browser of choice and Atlassian reputation for high quality software is not the best, if you ever used JIRA you know what I mean.

Comet

Perplexity AI is expanding from search engine into other sectors, trying to capture a piece of the pie — and if you ask me, I believe they're trying to get purchased by one of the MANGO companies. The main feature of Comet is the AI assistant that lets you automate email/calendar/shopping.

Atlas

OpenAI launched Atlas in October. It much integrates ChatGPT in every page and it allows you to run AI agent observing what it does in the browser. It looks impressive at first, I've asked to duplicate the last Luma AI dinner event: it opened Luma, signed up, went to the settings page, and somehow it got stuck in a loop. It has a button "stop" that lets you take control, so at least for now you can stop it, continue the tasks manually, and then ask it to continue the automation.

Conclusion

Whatever browser you're using today, switching won't give you a 10x improvement, at least won't give you anythig more than just installing the chatgpt extension. But it's clear that the internet "explore and click" as we know it is going to change into an intent based internet.

| The best ChatGPT that $100 can buy.

⭐️ Andrej Karpathy, our AI legend, just dropped nanochat, a complete, end-to-end implementation of an LLM-based chat assistant like ChatGPT — but compact, clean, and easy to hack. The entire stack, from tokenization to web UI, is implemented in one minimal codebase with almost no external dependencies.

It’s designed to run on a single 8×H100 node, orchestrated by simple scripts like speedrun.sh, which execute the entire lifecycle — tokenization, pretraining, finetuning, evaluation, inference, and even web serving through a lightweight chat interface.

In short, Nanochat lets you train, run, and chat with your own LLM — all for about the cost of a weekend GPU rental.

⭐️ Read the this introduction doc to learn all the steps Nanochat execute with the speedrun.sh file: github.com/karpathy/nanochat/discussions/1.

Repo: github.com/karpathy/nanochat
Nanochat test: nanochat.karpathy.ai