All research gets used for productive entrepreneurial purposes. OpenAI is just kind of sad that they started with the mission of being open literally in their name, and now are going the opposite direction.

Google will eat their lunch though. Google has the Worlds largest collection of video and that’s the final frontier of large transformer network Ai.

This article doesn’t make any sense but I’m too lazy to find the original paper.

Doubt it’s the input methods. It’s the variable focal range. Without this, most people will get motion sickness

Modern cell phones last all day while running 1gbps modems and using neural network hardware for voice recognition and refreshing screens at 120hz, and more, while getting thinner. This is entirely due to battery tech advances.

There’s far more financial incentive to advance things

I think LLM and large transformer networks are basically finding structure and composition in raw data

And there’s some (as yet unknown) way to get rote symbolic manipulation by stacking some similar system in top of them— similar to how LLM guides diffusion models work

I’d pay $10/mo for a family plan for chatgpt at this point

Just shows we have a huge amount to learn about how these systems actually work

They got a pizza party

Got 20/25 on paintings. I think I was learning as I went on though, probably would do better on a second glance

One thing that surprised me is the Asian painting of women bending into water. I’ve never seen an ai capture a subtle interaction like that as part of the background of an image. Ai is great at foreground objects but fails miserably at subtle background elements right now