You realize the implication of what you wrote right? You understand what an implication is? Trying to be cute and hiding behind technicalities is pathetic and cowardly. Which honestly is par for the course for pseudo intellectual tankie trash lmao

What academic sources have you read …

Did you read your comment? It’s you. No spin needed.

I doubt that. What evidence do you have?

Eh it’s the illusion of speed. Scaling brought enormous returns from GPT-3 -> GPT-4 but it’s been far less significant for every major release since. To compensate for this, every research lab is coming up with new ways to extract value of it of models: CoT, RL, Agent Harness etc

However, these are all hacks to make LLMs more efficient or (try) to make them more reliable. They still have significant drawbacks which will take years (probably decades) to ever get them to the point where they can reliably replace knowledge workers. China knows this and is taking a far different approach to LLM development (not a tankie fyi). Scaling is a horrible idea which will burn billions of dollars with an astronomically low chance of return.

Honestly you’re not wrong. I started to proxy and honestly it feels so good. I’m so sick of spending so much money on cards.