If multimodal sensory data were the secret ingredient behind human intelligence, blind and deaf people would lack general intelligence. They don't. This suggests billions of sensory tokens aren't the key — and may mean the human-AI data gap is even larger than estimated.
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At 5:48 · chapter starts 3:11
Three objections addressed: (1) evolution pre-training humans — debunked via genome size; (2) multimodal sensory data — debunked via blind/deaf intelligence; and (3) scaling up models — addressed next. [1] — Dwarkesh Patel "The common objection — that billions of years of evolution pre-trained humans, making data comparisons unfair — doesn't hold up. The human …" 04:43 [2] — Dwarkesh Patel "If multimodal sensory data were the secret ingredient behind human intelligence, blind and deaf people would lack general intelligence. The…" 05:48
Frontier AI models are trained on tens to hundreds of trillions of tokens, versus roughly 200 million tokens a human sees from birth to adulthood — nearly a million-fold difference.
Frontier AI models are trained on tens to hundreds of trillions of tokens. A human sees about 200 million from birth to adulthood. That's close to a million-fold difference — and it reveals just how data-hungry these systems really are.
Humans can learn to teleoperate any humanoid or robot arm within hours, but AI systems require millions of hours of demonstrations and still can't perform complex open-ended tasks.
A teenager can learn to drive a car with about 20 hours of practice, yet self-driving car models from Waymo and Tesla require 3–4 orders of magnitude more data.
A teenager learns to drive in 20 hours. Even accounting for 16 years of growing up and building physical intuition, that's still 3–4 orders of magnitude less data than Waymo and Tesla use to train self-driving cars. This gap is the sample efficiency problem in concrete terms.
The common objection — that billions of years of evolution pre-trained humans, making data comparisons unfair — doesn't hold up. The human genome is only 3 GB, and 1–2% is protein-coding. That's nowhere near enough to store pre-trained neural network weights. Evolution found the right hyperparameters; it didn't train the weights.
The human genome is only 3 gigabytes and only 1–2% is protein-coding, which Dwarkesh argues is not enough space to store pre-trained neural network weights from evolution.
Social norms compress behavior so effectively that we assume other minds are similar to ours. They almost never are. After running over 100 psychology studies, Greenberg's biggest finding is that humans are far more different from each other than we intuitively believe.
The widely shared claim that we have a credit card's worth of plastic in our brains may be a massive overestimate. Researchers used nitrile gloves to measure microplastics — and nitrile gloves shed microplastic particles onto the measuring device. A second paper found the original tool used was unreliable, and that we may have far less plastic than reported.
RSD isn't just hurt feelings — it's a dopamine-deficient brain with a hyperactive amygdala and a frayed connection to the prefrontal cortex. Add a surge of norepinephrine and you get chest pain, sweating, and trembling that convinces your body something catastrophic is happening.
In Dan Ariely's door experiment, participants sacrificed the highest-reward door — repeatedly — just to avoid seeing other doors disappear. Even when researchers trained them to use the best door, they kept wasting clicks to maintain options. This is the bias that runs our lives: we'll take a worse outcome to preserve the feeling of optionality.
Dan Gilbert discovered that the brain has a 'psychological immune system' — it misremembers, reframes, and rationalizes to keep you satisfied with whatever you chose. The fear before commitment is all about potential regret. But after committing, your brain quietly starts justifying the choice — and the more irreversible the decision, the stronger the effect.
The psychological immune system can get you through the first few months of any commitment. But durable, long-term well-being requires self-concordance — choosing commitments that are genuinely aligned with your values and what you actually want. Without that alignment, the satisfaction fades fast.
Vision didn't just help animals find food — it ignited the Cambrian explosion of speciation. Half of the human cortex is devoted to visual processing, and that same visual hierarchy directly inspired the neural network architectures powering today's AI.
Peptides come loaded with a powerful narrative: regenerative, subcutaneous, targeted, cutting-edge. That narrative can genuinely move outcomes, especially for pain, energy, and recovery. The RCT's job is to quantify how much additional benefit comes from the molecule itself — above and beyond the compelling story surrounding it.
A pharmaceutical is not an amino acid sequence — it is the successful solution to manufacturing, purification, formulation, and consistency challenges. When clinical trials prove a drug works, they validate a specific product under specific processes, not every preparation that shares the same sequence.
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