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 6 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 1 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 Open · timeframe Dec 2027
Patel: Google will buy tons of GPUs through 2027 due to TPU limits
“When we look in 26, Google would buy a lot more TPUs, but they can't ramp production fast enough, right? And so they have to buy tons of GPUs. And we go to 27, it applies again, right? Google simply cannot buy enough TPUs, and they have to buy tons of GPUs.”
Dylan Patel Feb 26, 2026 ▶ 49:51 Dylan Patel Explains the AI War While Cooking | In-Context Cooking
Opinion
O'Laughlin: TPU v7 is Google's peak TCO advantage over Nvidia
“I think Ironwood a V seven is the peak gap between on Between TCO, between NVIDIA and TPU, right?”
Doug O'Laughlin Feb 24, 2026 ▶ 1:35:07 Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis
Opinion
O'Laughlin: Google TPU business could be worth $1 trillion
“I've done the math. It could be like, it's like a trillion. It's like a trillion. It's like a trillion or something like that. Assuming it gets like 30% market share or something like that.”
Doug O'Laughlin Feb 24, 2026 ▶ 1:35:44 Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis
Opinion
Lie: AMD, Trainium, and TPU are all trying to build a better Nvidia Rubin
“AMD, Tranium, in many ways TPU, like all of these in my mind are all trying to build a better Reuben, right? And there's a huge amount of value in that.”
Sean Lie Sep 2, 2026 ▶ 33:21 The Inference Frontier: from 100 to 10,000 tokens per second — Sean Lie, Cerebras CTO
Insight
Jeff Dean: ML chip design requires predicting research workloads 2-6 years out
“As a hardware designer for ML in particular, you're trying to design a chip starting today And that design might take two years before it even lands in a data center, and then it has to sort of be a reasonable lifetime of the chip to take you three, four, or f…”
Jeff Dean Feb 12, 2026 ▶ 35:58 The AI Frontier: from Gemini 3 Deep Think distilling to Flash — Jeff Dean
Assertion Supported
Frankle: Google TPUs provide much higher bandwidth-to-compute ratios
“TPUs have a very different network bandwidth to compute ratio. They have a lot more bandwidth just objectively and TPUs per chip tend to be a little bit less compute intensive and have a little bit less memory.”
Jonathan Frankle Jun 25, 2024 ▶ 41:17 State of the Art: Training 70B LLMs on 10,000 H100 clusters
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