Now the question is, will arxiv wage a decade long bloody war with Cornell, using heavy infantry (PhD students), archers (reviewers) and field artillery (AI slop papers), or will the independence be mostly peaceful? Only time can tell.

PhD students are levy infantry at best with Postdocs being the armoured levies.

Is this Gondor or Mordor?

I found the Garry Tan's gstack README to be too linkedin-ey. Used Kagi to translate to plain English, and opened a PR.

Edit: [Link to translation on Kagi](https://shorturl.at/oSiiJ) -- shortened because Kagi stores text in the URL and it's massive.

As the kids say: that's diabolical

As the even younger kids say: :skull-emoji: :skull-emoji: :sobbing-face-emoji: :wilted-rose-emoji:

Those kids are in college now.

IMO the one likely usecase that I see, aside surveillance, is fully-autonomous aerial drones actively planning how to act deep in the enemy territory. e.g. prioritizing targets, collaborating with other drones, making decisions. Think an LLM acting as a Kamikaze.

> why did I pay

Indeed, why did you? Didn't you read product specs for a device that costs nearly 2-and-a-half grand?

Ilya was right about Sam.

YC has wrecked their brand, I don't care what they have to say any more, and ignore all their companies

Better to avoid them now

Why? What went wrong? I'm a bit out of the loop, I only know them through PGs essays and guidance videos. They've been an excellent learning resource for me.

They stopped following their own advice "do things that don't scale"

- scaled their batches without scaling advisors, far less time per co

- they've gone overly hard on the last two hype cycles, losing diversity and the cross company business activity

- their leadership are among the cronies and oligarchs ruining this country

If programming is theory-building, then what is vibe-coding?

> The volume of a sphere grows faster than the surface area. But if traversing the interior is instant and frictionless, what does that imply?

It's nearly frictionless, not frictionless because someone has to use the output (or at least verify it works). Also, why do you think the "shape" of the knowledge is spherical? I don't assume to know the shape but whatever it is, it has to be a fractal-like, branching, repeating pattern.

Meaning a GPT but next token is a live sensor reading or a servo angle or accelerometer state. Then connect that GPT with an actual LLM as a controller and you (hopefully) have a physical machine with arms, legs and a mind.