knux

Captain Pleasure, Andrés Gómez Emilsson Verified account @algekalipso · Aug 8

Tier Tensor for "Depths of Understanding of Tier Tensors"

View quoted post on X

Andrej Karpathy Verified account @karpathy · Mar 8

The next step for autoresearch is that it has to be asynchronously massively collaborative for agents (think: SETI@home style). The goal is not to emulate a single PhD student, it's to emulate a research community of them.

Current code synchronously grows a single thread of commits in a particular research direction. But the original repo is more of a seed, from which could sprout commits contributed by agents on all kinds of different research directions or for different compute platforms. Git(Hub) is *almost* but not really suited for this. It has a softly built in assumption of one "master" branch, which temporarily forks off into PRs just to merge back a bit later.

I tried to prototype something super lightweight that could have a flavor of this, e.g. just a Discussion, written by my agent as a summary of its overnight run:
github.com/karpathy/autor…
Alternatively, a PR has the benefit of exact commits:
github.com/karpathy/autor…
but you'd never want to actually merge it... You'd just want to "adopt" and accumulate branches of commits. But even in this lightweight way, you could ask your agent to first read the Discussions/PRs using GitHub CLI for inspiration, and after its research is done, contribute a little "paper" of findings back.

I'm not actually exactly sure what this should look like, but it's a big idea that is more general than just the autoresearch repo specifically. Agents can in principle easily juggle and collaborate on thousands of commits across arbitrary branch structures. Existing abstractions will accumulate stress as intelligence, attention and tenacity cease to be bottlenecks.

View quoted post on X

Allie K. Miller Verified account @alliekmiller · Dec 15, 2025

Voice AI is going to explode in 2026. Here’s what I’m seeing:

1. Dictation has completely changed how I work

I go on walks where I dictate to Otter for 40min. I built an app this weekend while lifting weights. The productivity gain is real.

2. Phone booths everywhere

I visited the offices of two large AI companies last week. They have phone booths everywhere. I watched someone walk into one, dictate, then walk right back out. That’s it.

3. Microphones at every desk

I visited Wispr Flow’s headquarters in October (see pic). Every single employee had a $60 microphone on their desk and can whisper tasks all day long to AI. You cannot hear them even if you’re at the neighboring table.

4. OpenAI says typing is the bottleneck

Alexander Embiricos, head of product for Codex, just went on the @lennysan podcast that the “current underappreciated limiting factor” to AGI-level productivity isn’t model capability, it’s human typing speed.

We are literally being held back by our fingers.

View quoted post on X