this post was submitted on 18 May 2026
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"We did it, Patrick! We made a technological breakthrough!"

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AI, in this case, refers to LLMs, GPT technology, and anything listed as "AI" meant to increase market valuations.

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Excerpt:

The IPO Math Forces the Issue

Both OpenAI and Anthropic are on IPO timelines for the second half of 2026. OpenAI completed the largest private funding round in history in April, $122 billion at an $852 billion post-money valuation. Anthropic has reportedly surpassed $30 billion in annualized revenue. Massive numbers, both of them. Also both attached to companies that are still burning cash at extraordinary rates.

Public markets will not tolerate the gap between subscription revenue and compute cost that has defined the past three years. The moment either company files, analysts will demand unit economics that show a path to margin. Usage-based billing is the fastest way to demonstrate that path.

None of this contradicts the repricing thesis. The pricing war is the last land grab before the gate closes. Both companies are spending aggressively now to lock in users whose switching costs will make them sticky when prices rise. OpenAI offers two months free. Anthropic offers 50% more capacity. Both expire in July. What comes after July is the real pricing.

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[–] ZDL@lazysoci.al 1 points 6 hours ago

That's not going to happen in anybody currently alive's lifetime either. The best we can manage right now is the Cedars-Sinai model of a neuron (note the singular!) that approximates the electrical behaviour of a single human neuron. (There are huge biochemical signalling networks in brains that are a large part of brain function as well.)

We are nowhere near close to emulating a single human neuron down to the molecular level, complete with ion channels and all the other raw complexity of the beasts. We've barely begun working out how the biochemistry interacts with and modifies that electrical activity. And this is presupposing that the Orch-OR hypothesis (the one that posits essentially quantum computing in the neuron via microtubules and assorted mechanisms held within those) is wrong. If that's correct, we're even farther behind on emulating a human neuron.

That's A human neuron.

We have about 86 billion or so neurons in the brain.

Oh, and wait! Neurons may not even be the whole picture! It's turning out that we're finding some "thought" happening outside of the neurons in the brain.

Did I mention that this is all the static structures of the brain? As little as we know about those, we know even less about the dynamic interaction of things. Biochemical weighting. Plasticity vs. rigidity. Dendrite pruning and regrowth. We know none of this yet, except that they exist.

Oopsie!