Kyle Kelley

Kyle Kelley

@kylekelley.bsky.social

Principal Engineer @anacondainc.bsky.social, nteract lead, maker of document engines and runtimes 🚲 🏫 🚶🏻🌲🏙️ 🌊

629 followers1K following126 posts

Kyle Kelley reposted

We got a DM the other day with a fun request from a local family: Could we find this nice BART train operator who always waved and beeped at this special little rider? And if we found him, could we deliver him a thank you card!?  So we got to work …

You ever just fully lose a discord server amongst all your discord servers? I cannot find @deno.land in my left bar so now I have to visit on the web to get "invited" again. Still no way to bubble it up. :(

Kyle Kelley reposted

You can just research things. New from @jatucker.bsky.social & me at @brookings: Coding agents like Claude Code and Codex will likely accelerate research AND undermine institutional structures we built to support it.

I need some way for my agents that operate on behalf of me on GitHub to indicate as such. Aside running and orchestrating these like ZERO places are making it possible to provide attribution and authentication for agents in a clean way.

upstream connect error or disconnect/reset before headers. retried and the latest reset reason: remote connection failure, transport failure reason: delayed connect error: Connection refuse

What if notebooks let you install dependencies directly and when loading someone else's, they inform you of what's going to be set up in the environment? Yes this is a new desktop app.

Kyle Kelley reposted

Replying to @cameron.stream

I've been in the AI world for like two years now and I am continuously amazed by how many problems are no longer technical problems. The bigger cost of implementing automation is fine and institutional inertia.

I just made a sidecar viewer of output you can run in jupyter console or even a regular ipython terminal to get rich interactives without a notebook. pip install runtimed import runtimed runtimed.sidecar()

Kyle Kelley reposted

Replying to @maggieappleton.com

My theory here is the major labs have done very little or no RLHF on visual explanations and diagrams? Seems like a blind spot. Image generation alone or text generation alone are very well optimised but the combination seems uniquely hard for current models.

Kyle Kelley reposted

planting 40 million merkle search trees, in 20 years we'll have a whole lot of merkle search forests we can log the merkle search forests for merkle search timber which we will then use to construct a merkle search floating city

Jaz@jaz.sh

merkle search forest