calebgcc

I wonder what Meta could do with a similar technology…

But here we can start also the usual discussion about technology research for the sake of it vs calibration of possible side effects of new research

Personally i think we haven’t solve this problem and thus it’s just a matter of time until we’ll get in a non-going-back point

We treat nature as good and everything humans build as a corruption of it. I've come to think that whole distinction falls apart under the lightest pressure.

We don’t write tests at Meticulous. We refactor freely, upgrade libraries and ship features in roughly the time it takes us to write them. The bug-catching happens somewhere else.

I wonder if your previous prompts were part of the new RL fine tuning, and that’s why is now better at this specific question

I'm writing this post as an ex Software Engineer at Bloomberg, following the amazing examples of Reflections on OpenAI and Reflections on Palantir.

Every day we learn new things, every day we forget the things we learn.

Countless times, I’ve found myself watching an interesting video on YouTube, reading an article online, or discovering a new tool, only to forget it all. What remains in the end?

It’s not just the information itself we’re losing, but how it connects to everything we already know.

Read more, without getting bored: how and why

True-colour images use 24bit per pixel, which means that each pixel has three channels of 8bit, one for red, one for green and one for blue. The possible colours that can be displayed are 256³ = 16.777.216, wow… do we need all these colours in each image? The short answer is no.