Ep 18: Petaflops to the People — with George Hotz of tinycorp

Latent Space · Beginner ·🧠 Large Language Models ·2y ago
How tinygrad is taking on Nvidia, Google, and PyTorch with a tiny team, building in public with AMD, hot takes on ggml, Mojo, and GPT-4, and why AI Girlfriend is next. Writeup and show notes: https://www.latent.space/p/geohot Hosts' Twitter: @swyx and @fanahova Timestamps: 00:00:00 - Introducing George 00:02:59 - Tinycorp's 3 Theses 00:11:12 - Tinygrad's creation 00:15:58 - Operation fusing in Tinygrad 00:19:11 - Tinygrad debugging 00:21:14 - Tiny Competitiveness on QCOMM vs NVDA 00:23:21 - geohot vs AMD 00:28:21 - Tinygrad vs ggml 00:30:01 - Importance of Good CI 00:30:37 - Mojo and Compat…
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Chapters (31)

Introducing George
2:59 Tinycorp's 3 Theses
11:12 Tinygrad's creation
15:58 Operation fusing in Tinygrad
19:11 Tinygrad debugging
21:14 Tiny Competitiveness on QCOMM vs NVDA
23:21 geohot vs AMD
28:21 Tinygrad vs ggml
30:01 Importance of Good CI
30:37 Mojo and Compatibility
32:43 ggml quantization is made up
35:18 tinygrad: benchmark int8 vs fp16
37:39 Why you can't build tinybox
40:28 The personal compute cluster
43:08 Compute Optimal to Inference optimal
45:06 Announcing FLOPcoin
46:23 Why Federated AI won't work
47:38 5x faster than Nvidia
48:53 A Person of Compute
49:49 GPT-4's real architecture
51:07 BatchNorm, FlashAttention
52:34 The Bitter Lesson
55:31 Hiring in the Age of AI
1:00:02 Why AI doesn't replace developers & artists
1:03:02 Comma Body
1:07:34 AI Girlfriend
1:11:00 The Goddess of Everything Else
1:13:43 John Carmack Insights
1:17:41 on Elon
1:18:47 on e/acc
1:20:24 Avatar 2

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▶ Ep 18: Petaflops to the People — with George Hotz of tinycorp
Ep 18: Petaflops to the People — with George Hotz of tinycorp
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