“We consistently saw how many of these, like, models today are being, like, massively, like, kind of fine-tuned on problems from... Like, oversight? Massively worked with. Like, even, like, imagine if I ask you the light bulb, what comes next in your mind? It won't be a question from an Olympiad or a practice exam, right? And these give the right question, they also give the options after that.”
quote is from the automated transcript, cleaned for reading:
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More from Pratyush Maini
AssertionNot checkable as stated
Labs train LLMs on benchmark questions for multiple epochs late in training
“It's very clear how the last stage of training for many of these models does have a massive amount of example or examine. Benchmaxing. Because the model will not, like, behaviorally complete exam questions with options if they have not really seen it at the en…”
Pratyush MainiFeb 10, 2026▶ 4:17⚡️ Reverse Engineering OpenAI's Training Data — Pratyush Maini, Datology
AssertionNot checkable as stated
Self-reflection training data is now core to all frontier foundation models
“What this suggests about the GPT training data is that the self-reflection data has now actually become pretty much core to the training of all frontier models, because we're seeing that happen in non-instruct models across the board.”
Pratyush MainiFeb 10, 2026▶ 15:26⚡️ Reverse Engineering OpenAI's Training Data — Pratyush Maini, Datology
Insight
Core AI capabilities must be built during pre-training, not just fine-tuned
“If there is a core capability that you actually care about, that capability should be part of the foundation and not a fine-tuned artifact.”
Pratyush MainiFeb 10, 2026▶ 18:53⚡️ Reverse Engineering OpenAI's Training Data — Pratyush Maini, Datology
PredictionNot checkable as stated
Enterprises will widely adopt specialized AI pre-training in 2026 and 2027
“So I think like, 26 and 27 are going to be the years where different enterprises start doing specialized pre-training, because the cost of pre-training really amortizes itself very fast.”
Pratyush MainiFeb 10, 2026▶ 19:27⚡️ Reverse Engineering OpenAI's Training Data — Pratyush Maini, Datology
Insight
Small specialized pre-trained models can match capabilities of larger fine-tuned models
“When you think of the fact that by doing specialized pre-training, you can train a smaller model, which is as capable as a much larger model when fine-tuned.”
Pratyush MainiFeb 10, 2026▶ 19:38⚡️ Reverse Engineering OpenAI's Training Data — Pratyush Maini, Datology
AssertionPartly supported
Datology BeyondWeb 3B matches NVIDIA Nemotron 8B in 2.7x less training time
“As you can see that we achieved the same performance as the NVIDIA model in almost, like, 2.7 X, like, lesser time. And then much faster than anything that hugging face or pajama does. Very interestingly, our three B model is pretty much the same performance a…”
Pratyush MainiFeb 10, 2026▶ 21:35⚡️ Reverse Engineering OpenAI's Training Data — Pratyush Maini, Datology
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