which does support the idea that there is a limit to how good they can get.

I absolutely agree, im not necessarily one to say LLMs will become this incredible general intelligence level AIs. I’m really just disagreeing with people’s negative sentiment about them becoming worse / scams is not true at the moment.

I doesn’t prove it either: as I said, 2 data points aren’t enough to derive a curve

Yeah only reason I didn’t include more is because it’s a pain in the ass pulling together multiple research papers / results over the span of GPT 2, 3, 3.5, 4, 01 etc.

That’s definitely valid, but just because a tool is used for scam doesn’t inherently mean it’s a scam. I don’t call the cellphone a scam because most my calls are.

The jump from GPT-4o -> o1 (preview not full release) was a 20% cumulative knowledge jump. If that’s not an improvement in accuracy I’m not sure what is.

Compare the GPT increase from their V2 GPT4o model to their reasoning o1 preview model. The jumps from last years GPT 3.5 -> GPT 4 were also quite large. Secondly if you want to take OpenAI’s own research into account that’s in the second image.

Curious why your perspective is they’re are more of a scam when by all metrics they’ve only improved in accuracy?

I understand the sentiment against the kernel based anti cheat, but as someone who’s played a lot of Counterstrike the top level, cheating essentially ruins the native game and forces you to use 3rd party matchmaking systems (Pre verified era)

I appreciate Riot for implementing Vanguard into Valorant, I don’t play a lot but it seems in a far better position because of the ability to control native matchmaking.

I’m also hoping the introduction to league leads to Smurf reduction which is primarily the biggest problem with their native matchmaking system.

Just curious, why in the modern day do you need an SD card?

If phones can come up to a TB nowadays and USBCs have insane transfer speeds I can’t really find a reason why you’d need more.