The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 4 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

Prediction Not checkable as stated
Howard: Mojo-like languages will unlock thousands of FlashAttention-scale breakthroughs
“There is a thousand flash attentions out there for us to build. You just got to make it easy for us to build them. So like Triton definitely helps. But it's still, Not easy. You know, it still requires kind of really understanding the VPU architecture, writing…”
Jeremy Howard Oct 20, 2023 ▶ 1:16:28 The End of Finetuning — with Jeremy Howard of Fast.ai
Opinion
Patel: Hardware vendors and developers are coalescing around OpenAI's Triton
“Likewise, there's OpenAI's Triton, like, what they're trying to do there, and like you know, everyone's really coalescing around Triton. You know, people, you know, third-party hardware vendors”
Dylan Patel Dec 5, 2023 ▶ 13:40 The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
Insight
AI coding assistants degrade quickly on low-level CUDA and PTX code
“Getting Below Triton or level or anything else down to like CUDA or below there's orders of magnitude less public good kernels at that level. And I think that really shows and models capabilities. So when I try and get a model to do something in CUDA or PTX or…”
Quentin Anthony Nov 3, 2025 ▶ 13:35 How Zyphra went all-in on AMD + Why Devs feel faster with AI but are slower — with Quentin Anthony
Disclosure
Bachman: Manifest Switched Power Retention from Triton to Custom CUDA
“Actually, our initial version of power retention was written in Triton, but we realized quickly that it just didn't offer the flexibility to really squeeze the performance that we wanted out of the GPU. So we took a step back and dove into CUDA.”
Diego Bachman Sep 23, 2025 ▶ 9:33 ⚡️ Beyond Transformers with Power Retention
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