Transformer

also referred to as: transformers

5 statements across 5 episodes · 1 bullish · 1 bearish · 5 people on the record · first statement May 1, 2024 by Swami Sivasubramanian · said 6 times in 5 episodes since 2025 · across every show →

Mentions by year

brought up most by Alex Kantrowitz (4), Geoffrey Hinton (1), Demis Hassabis (1)

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Everything said about Transformer, oldest first

May 1, 2024 bullish
Prediction Not checkable as stated
AWS AI Chief: AI architectures beyond pure transformers are absolutely necessary
“I actually think, ah, new architectures are absolutely necessary in the future, ah, and, ah, there are already hybrid architectures evolving. I mean, ah, I mean in terms of state space models to actually connectors hybrid models between state space to transfor…”
Swami Sivasubramanian May 1, 2024 ▶ 9:58 AWS VP of AI and Data Swami Sivasubramanian — GenAI's Growth Potential
Jan 23, 2025 neutral
Opinion
Demis Hassabis sees 50 percent chance AGI requires new architectural breakthroughs
“Maybe we need one or two more transformer-like breakthroughs. And I, and I'm, I think I'm genuinely uncertain about that. So that's why I say 50%. So I mean, I wouldn't be surprised either way if we got there with existing techniques and things we already knew…”
Demis Hassabis Jan 23, 2025 ▶ 16:50 Google DeepMind CEO Demis Hassabis: The Path To AGI, Deceptive AIs, Building a Virtual Cell
Apr 23, 2025 neutral
Insight
Patel: Standard transformers allocate identical compute to every generated token
“When you look at a transformer, every word is this, every token output, it has the same amount of compute behind it. Right. I E, you know, when I'm saying the versus sky is blue, the blue and the V have this or the is in the blue have the same amount of comput…”
Dylan Patel Apr 23, 2025 ▶ 25:04 Generative AI 101: Tokens, Pre-training, Fine-tuning, Reasoning — With SemiAnalysis CEO Dylan Patel
Feb 6, 2026 bearish
Opinion
Pineau: AI is far away from a breakthrough transformer moment for reasoning
“The transformer moment for reasoning and choosing action and being able to plan at different levels of granularity. We're still far away from doing that.”
Joelle Pineau Feb 6, 2026 ▶ 4:49 AI's Research Frontier: Memory, World Models, & Planning — With Joelle Pineau
Jun 4, 2026
Insight
Hinton: Post-Transformer AI Progress Stems Mainly from Hardware and Engineering
“We've also seen new ideas, but mainly since Transformers, it's been much better hardware, many more resources better engineering, and many more talented people.”
Geoffrey Hinton Jun 4, 2026 ▶ 8:06 AI Pioneer Geoffrey Hinton: AI Is Conscious, Superintelligence is Coming, And We Should Be Worried
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