long context

4 statements across 4 episodes · 3 bullish · 1 bearish · 4 people on the record · first statement May 31, 2024 by Mark Huang · across every show →

Everything said about long context, oldest first

May 31, 2024 bullish
Opinion
Huang: Multimodal inputs like video will drive long-context LLM demand
“Multimodality is, in my opinion, going to be, it's going to be pivotal for long context. Just because, like, videos when you're getting into the frames per second and you're getting into lots of images and, like, things that are a lot more, like, embodied You …”
Mark Huang May 31, 2024 ▶ 56:42 How to train a Million Context LLM — with Mark Huang of Gradient.ai
Jul 5, 2024 bullish
Opinion
Tay: Long context architecture is the future of AI over RAG
“And, yeah, I mean, I think long context is definitely the future, rather than rec. But I mean, they could be used in conjunction, like,”
Yi Tay Jul 5, 2024 ▶ 1:40:05 The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
Oct 19, 2024 negative
Opinion
Hu: Long-context accuracy degrades; RAG remains necessary for entire large codebases
“My guess would be that, like, long context works, but it's sort of a lie as far as your accuracy, and that rag matters no matter what, because even in the longest context windows, you can't fit the whole code base.”
Jesse Hu Oct 19, 2024 ▶ 27:29 [Paper Club] SWE-Bench [OpenAI Verified/Multimodal] + MLE-Bench with Jesse Hu
Jun 25, 2026 positive
Insight
Chen: Compaction shortcuts expensive native long context in coding products
“Many, many coding products today have features like compaction, right? Where you can compress kind of either insights or working state and stuff like that, you know, it just shortcuts a lot of the very brutally difficult and expensive permit is that you have t…”
Mark Chen Jun 25, 2026 ▶ 26:51 Cooking with OpenAI’s Research Chief: AGI, o1, Evals, and Scaling Laws — Mark Chen
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