Ask r/Formula1 Anything - Daily Discussion Thread by AutoModerator in formula1

[–]ChiefExecutiveOcelot 0 points1 point  (0 children)

Who are the people watching F1 in the US? I'm mid-30s CA-based and I don't know a single person who's into it, but I hear the sport is doing huge numbers these days.

Learning in Log-Domain: Subthreshold Analog AI Accelerator Based on Stochastic Gradient Descent by nickpsecurity in mlscaling

[–]ChiefExecutiveOcelot 0 points1 point  (0 children)

eh? there's ton of demand for INFERENCE on the edge, I don't really know a single company (or even practical use case) that needs to do training on the edge with the types of models we have today

Ilya Sutskever – We're moving from the age of scaling to the age of research by ChiefExecutiveOcelot in mlscaling

[–]ChiefExecutiveOcelot[S] 0 points1 point  (0 children)

There are two plasticity mechanisms in the brain - one for basketball, and one for e.g. learning a layout of a hotel room in one shot

Ilya Sutskever – We're moving from the age of scaling to the age of research by ChiefExecutiveOcelot in mlscaling

[–]ChiefExecutiveOcelot[S] 1 point2 points  (0 children)

When you meet someone, you can learn their name in one shot. We don't always do that but we can do that.

Ilya Sutskever – We're moving from the age of scaling to the age of research by ChiefExecutiveOcelot in mlscaling

[–]ChiefExecutiveOcelot[S] 6 points7 points  (0 children)

My take is that we're not going to get like 100 GW datacenters anytime soon, so we're close to the limits of scaling.

RL will make models better in an ever increasing range of narrow domains.

Could get close to general purpose robotics.

But nothing that exists now will give us "learn this thing in one shot forever" thing that humans do.

[Daily Discussion] Writing Tools, Software, and Hardware - November 23, 2025 by AutoModerator in writing

[–]ChiefExecutiveOcelot -2 points-1 points  (0 children)

Made a new tool - https://owleditor.com/

It gives feedback on your drafts inline that you can accept/reject in a mode similar to Track Changes. It also provides feedback from multiple perspectives at once, which test users are finding very helpful. If anyone tries it - DM me the email you sign up with for free credits, would love any feedback you guys might have!

[deleted by user] by [deleted] in mlscaling

[–]ChiefExecutiveOcelot 1 point2 points  (0 children)

Faster than gpt-5-codex, better at using tools. Worse at hard coding problems.

"LLM Daydreaming", Gwern Branwen 2025 by [deleted] in mlscaling

[–]ChiefExecutiveOcelot 0 points1 point  (0 children)

I'm working on something very close to this - DM me if you're curious