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Re:OpenAI o1 system card by ThrowawayTestr on Thursday December 05, 2024 @07:00PM (#42334303)
The contexts are pretty large now
Re:OpenAI o1 system card by stickfigure on Thursday December 05, 2024 @07:27PM (#42334522)
Your nefarious plan for enslaving humanity is still unlikely to fit into 128k tokens.
Re:OpenAI o1 system card by HeatrayEnjoyer on Thursday December 05, 2024 @10:31PM (#42336014)
Operational success does not hinge on persisting the entire plan in working memory, that's what notebooks and word docs are for.

128k is table stakes now, regardless. Google's models support 1 million tokens and 10 million for approved clients. That is 13x War and Peace, or 1x the entire source code for 3D modeling application Blender.

Re:OpenAI o1 system card by xvector on Friday December 06, 2024 @03:16AM (#42337572)
Yeah, but most LLMs are barely functional after 16k tokens, even if it says 128k on the tin. Sure, they will have recall, but the in-context reasoning ability drops dramatically.

LLMs just aren't smart enough to take over the world. They suck at backtracking, they're pretty bad at world models, they struggle to learn new information, etc. o1, QwQ, and CoT models marginally improve this but if you play with them they still kinda suck

Re:OpenAI o1 system card by sam_1m on Monday December 09, 2024 @05:09AM (#42364662)
I kinda agree with him. But I have also seen if we do the right COT, they perform much better than any other technique. I found this good blog on Reddit which is about COT: https://hub.athina.ai/blogs/what-is-chain-of-thought-prompti...