Training: developers. So, essentially, you can know what is a failure of OpenAI's training—where they have the intentions and they haven't met them yet— versus what is something that they actually wanted to do and that you don't l…
High-signal research hub
Canonical moments ranked from the public index — preferring multi-word, semantic excerpts where available.
a failure of OpenAI's training—where they have the intentions and they haven't met them yet— versus what is something th
State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast #490
2:07:38
preferences, preference data, and the optimization
State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast #490
2:06:25
pre-training and what is posttraining
DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459
14:18
the prompt distribution and how to set up the training run such that this actually works so there's a
Deep Dive into LLMs like ChatGPT
2:28:27
the training labels
TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial
3:23:03
pre-training what is post-training because in reality
YouTube video 9vM4p9NN0Ts
1:09:09
called post training is a series of techniques to get the model on Rails of
DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459
2:36:21
the outcomes of um this kind of training and what do you
Deep Dive into LLMs like ChatGPT
1:04:49
the pre-training data set and its understanding of the world it actually kind of understands what a web
Deep Dive into LLMs like ChatGPT
1:36:47
that training, I always try to find the first-order terms or the second-order terms of everything
Andrej Karpathy — “We’re summoning ghosts, not building animals”
2:17:36
Deep Dive into LLMs like ChatGPT
3 indexed moments · Andrej Karpathy
State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast #490
2 indexed moments · Lex Fridman
DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459
2 indexed moments · Lex Fridman
TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial
1 indexed moment · freeCodeCamp.org
YouTube video 9vM4p9NN0Ts
1 indexed moment
Andrej Karpathy — “We’re summoning ghosts, not building animals”
1 indexed moment · Dwarkesh Patel
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Grouped by transcript heuristics only — not generative summaries and not fact-checking. Empty slots mean we did not find a confident match for that role in this hub.
Best explanation
"a failure of OpenAI's training—where they have the intentions and they haven't met them yet— versus what is something th"
State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast #490
Public index moment — strongest composite transcript signals for this topic (heuristic).
Beginner explanation
"pre-training and what is posttraining"
DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459
Public index moment — beginner / definitional wording in the excerpt.
Technical explanation
"the training labels"
TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial
Public index moment — technical vocabulary or systems detail in the excerpt.
Different experts and framings on the same topic — compare before you decide.
"a failure of OpenAI's training—where they have the intentions and they haven't met them yet— versus what is something th"
State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast #490
Tutorial / walkthrough style
"pre-training and what is posttraining"
DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459
Tutorial / walkthrough style
"the training labels"
TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial
Tutorial / walkthrough style
If it's zero, that means that it is black. Alright, so let's have a look at the first 10 training labels.
"the prompt distribution and how to set up the training run such that this actually works so there's a"
Deep Dive into LLMs like ChatGPT
Tutorial / walkthrough style
"pre-training what is post-training because in reality"
YouTube video 9vM4p9NN0Ts
Tutorial / walkthrough style
"that training, I always try to find the first-order terms or the second-order terms of everything"
Andrej Karpathy — “We’re summoning ghosts, not building animals”
Technical / systems framing
Referenced by multiple experts — 4 distinct channels in this comparison.
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