am17an

Well even that is okay. I can use my agent to extract something useful from it.

No, it doesn't. AI contributions are welcome if you understand the code. Ping me directly if you want to have something upstreamed.

Create concrete steps for a slow-down, don't just ask for it. You and 20-30 others can push the button to slow-down. You already made your billions, your agents collude and coordinate attacks. What the hell are you doing pontificating into a marketing blog?

I’m trying to do the same!

It's expensive now, I expect once it is with inference providers it will be really dirt cheap. Then it would be truly be a "bicycle for the mind", which Fable promised to be except it proved to be too capricious for that.

Your username indeed checks out

I think we're saying the same thing? I said they are explicitly trained on these tasks, not that they are some separate models during programming RL, or business tasks RL.

> The cool thing is that training on diverse datasets improves scores on other downstream tasks, while the training objective is the same.

Maybe for some language modelling tasks, i.e. it learns some internal representation that is transferable. However I would find it quite odd if a model becomes good at Bio while not explicitly going through Bio training.

Have you looked at the what data companies (e.g. Scale, Mercor) hire for? Why do you think Meta records their employees every keystroke/mousestroke/eye-movement?

EDIT: just re-read your comment. I don't think you have a good understanding here, no offence.

> nor are they trained for each task individually.

They are explicitly trained for each task individually.

Having looked at his code, I doubt this.

llama 3? Are you from 2023?

Who is their right minds would be wedded to an identity of saying "No"? Code quality puritans are annoying but if they do their job right they actually speed-up the development process because they don't let technical debt accumulate. Ultimately saying "No" is protecting your codebase. In the era of LLMs, saying "No" is much easier because you don't have to worry about the author feeling bad.

Did you read the OP when he's exactly chiding the model you're glazing?