Best explanation
"I update my… What are the missing variables in my internal model"
Adam Marblestone – AI is missing something fundamental about the brain
Public index moment — strongest composite transcript signals for this topic (heuristic).
Model: So to create the models pretty easy. I mean, all we do is say model equals TensorFlow distribution dot hidden Markov model, give it the initial distribution, which is equal to initial distribution, transition, distributi…
High-signal research hub
Canonical moments ranked from the public index — preferring multi-word, semantic excerpts where available.
steps will steps is
TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial
2:38:45
a open uh sorry what is a closed source model
LLM Fine-Tuning Course – From Supervised FT to RLHF, LoRA, and Multimodal
8:34:53
I update my… What are the missing variables in my internal model
Adam Marblestone – AI is missing something fundamental about the brain
24:02
these the tokens that the model responded with what are
Deep Dive into LLMs like ChatGPT
3:23:08
the what are the settings where you
Deep Dive into LLMs like ChatGPT
1:36:21
the model quality impact
How GPT, Claude, and Gemini are actually trained and served – Reiner Pope
28:53
called Deep seek V3 base this is a base model
DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459
12:34
2 plus 2 it's not
Deep Dive into LLMs like ChatGPT
47:51
happening but if you choose model and you choose here Gemini 2
Deep Dive into LLMs like ChatGPT
2:41:13
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
done is that you have the base model we've talked
DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459
2:55:51
this, we're able to model
Deep Learning Crash Course for Beginners
59:04
Deep Dive into LLMs like ChatGPT
4 indexed moments · Andrej Karpathy
DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459
3 indexed moments · Lex Fridman
Evaluating Retrieval Augmented Generation for a PubMed QA App
3 indexed moments · Haystack
Deep Learning Crash Course for Beginners
2 indexed moments · freeCodeCamp.org
Agentic RAG: build a reasoning retrieval engine with Azure AI Search | BRK142
2 indexed moments · Microsoft Reactor
The 5 Levels Of Text Splitting For Retrieval
2 indexed moments · Greg Kamradt
TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial
1 indexed moment · freeCodeCamp.org
LLM Fine-Tuning Course – From Supervised FT to RLHF, LoRA, and Multimodal
1 indexed moment · freeCodeCamp.org
Adam Marblestone – AI is missing something fundamental about the brain
1 indexed moment · Dwarkesh Patel
How GPT, Claude, and Gemini are actually trained and served – Reiner Pope
1 indexed moment · Dwarkesh Patel
Building Production-Ready RAG Applications: Jerry Liu
1 indexed moment · AI Engineer
Building with MCP and the Claude API
1 indexed moment · Anthropic
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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
"I update my… What are the missing variables in my internal model"
Adam Marblestone – AI is missing something fundamental about the brain
Public index moment — strongest composite transcript signals for this topic (heuristic).
Beginner explanation
"steps will steps is"
TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial
Public index moment — beginner / definitional wording in the excerpt.
Technical explanation
"a open uh sorry what is a closed source model"
LLM Fine-Tuning Course – From Supervised FT to RLHF, LoRA, and Multimodal
Public index moment — technical vocabulary or systems detail in the excerpt.
Counterpoint / caveat
"the model quality impact"
How GPT, Claude, and Gemini are actually trained and served – Reiner Pope
Public index moment — hedging, disagreement, or risk language detected (possible caveat).
Primary-source style moment
"e are useful"
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Paper Explained)
Public index moment — references specs, standards, or documentation-style speech (still verify).
Different experts and framings on the same topic — compare before you decide.
"I update my… What are the missing variables in my internal model"
Adam Marblestone – AI is missing something fundamental about the brain
Tutorial / walkthrough style
The Bayesian inference problem, which is basically the problem of perception, given some model of the world and given some data, how should I update my… What are the missing variables in my internal model?
"steps will steps is"
TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial
Tutorial / walkthrough style
I mean, all we do is say model equals TensorFlow distribution dot hidden Markov model, give it the initial distribution, which is equal to initial distribution, transition, distribution, observation, distribution and steps.
"a open uh sorry what is a closed source model"
LLM Fine-Tuning Course – From Supervised FT to RLHF, LoRA, and Multimodal
Tutorial / walkthrough style
"the model quality impact"
How GPT, Claude, and Gemini are actually trained and served – Reiner Pope
Possible caveat or counterpoint
This paper is "Unified Scaling Laws for Routed Language Models." It's a somewhat old paper by this stage, but one of the things they looked at is if I keep increasing sparsity, what is the model quality impact?
"these the tokens that the model responded with what are"
Deep Dive into LLMs like ChatGPT
Technical / systems framing
"called Deep seek V3 base this is a base model"
DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459
Tutorial / walkthrough style
Referenced by multiple experts — 4 distinct channels in this comparison.
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